We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
RPL7A
HPA
RESOURCES
  • TISSUE
  • BRAIN
  • SINGLE CELL
  • SUBCELLULAR
  • CANCER
  • BLOOD
  • CELL LINE
  • STRUCTURE & INTERACTION
ABOUT
  • INTRODUCTION
  • HISTORY
  • ORGANIZATION
  • PUBLICATIONS
  • ANTIBODY SUBMISSION
  • ANTIBODY AVAILABILITY
  • ACKNOWLEDGMENTS
  • CONTACT
NEWS
  • NEWS ARTICLES
  • PRESS ROOM
LEARN
  • DICTIONARY
  • PROTEIN CLASSES
  • PROTEIN EVIDENCE
  • METHODS
  • EDUCATIONAL VIDEOS
DATA
  • DOWNLOADABLE DATA
  • PUBLICATION DATA
  • RELEASE HISTORY
HELP
  • ANTIBODY VALIDATION
  • ASSAYS & ANNOTATION
  • DISCLAIMER
  • HELP & FAQ
  • PRIVACY STATEMENT
  • LICENCE & CITATION
Fields »
Search result

Field
Term
Gene name
Class
Subclass
Class
Keyword
Chromosome
External id
Tissue
Cell type
Expression
Antibody panel
Tissue
Main location
Patient ID
Annotation
Tissue
Category
Tau score
Cluster
Reliability
Brain region
Category
Tau score
Brain region
Category
Tau score
Brain region
Category
Tau score
Cluster
Reliability
Tissue
Cell type
Enrichment
Cell type
Category
Tau score
Cell type
Category
Tau score
Cell type
Category
Tau score
Cell lineage
Category
Tau score
Cluster
Cluster
Location
Searches
Location
Cell line
Class
Type
Phase
Reliability
Cancer
Prognosis
Cancer
Category
Cancer
Category
Tau score
Cluster
Variants
Interacting gene (ensg_id)
Type
Number of interactions
Pathway
Category
Score
Score
Score
Validation
Validation
Validation
Validation
Antibodies
Data type
Column


  • SUMMARY

  • TISSUE

  • BRAIN

  • SINGLE CELL

  • SUBCELL

  • CANCER

  • BLOOD

  • CELL LINE

  • STRUCT & INT

  • RPL7A
CANCER COLORECTAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
COAD TCGA COAD VALIDATION READ TCGA READ VALIDATION PROTEIN COAD CPTAC
Dictionary
Colorectal cancer
Human cancer
Colon adenocarcinoma
Rectum adenocarcinoma
COLON ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

RPL7A is not prognostic in Colon Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 1608.37
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 1673.2
Number of samples 254
Samples
Sample Description pTPM
TCGA-DM-A288-01A 68 years, male, white, stage:Stage IIIC, dead, 427 days 3730.6
TCGA-DM-A1HA-01A 82 years, male, white, stage:Stage IIIC, alive, 2600 days 3437.5
TCGA-AA-3663-01A 42 years, male, stage:Stage II, alive, 212 days 3321.2
TCGA-AD-A5EK-01A 51 years, male, black or african american, stage:Stage I, alive, 500 days 3306.4
TCGA-G4-6304-01A 66 years, female, white, stage:Stage IIB, alive, 1631 days 3239.0
TCGA-CM-5862-01A 80 years, male, white, stage:Stage IVA, dead, 153 days 3194.4
TCGA-DM-A1DA-01A 71 years, female, white, stage:Stage IIIC, dead, 228 days 3141.8
TCGA-CM-5864-01A 60 years, male, white, stage:Stage I, alive, 457 days 3100.0
TCGA-F4-6855-01A 70 years, female, white, stage:Stage IIA, alive, 1442 days 2834.1
TCGA-A6-3809-01A 71 years, female, white, stage:Stage IIB, alive, 996 days 2782.4
TCGA-DM-A28K-01A 75 years, male, white, stage:Stage IIA, alive, 2988 days 2782.2
TCGA-DM-A28A-01A 78 years, male, white, stage:Stage IIIC, dead, 805 days 2745.7
TCGA-AD-6901-01A 78 years, male, white, stage:'--, dead, 682 days 2698.2
TCGA-A6-2686-01A 81 years, female, white, stage:Stage IIA, dead, 1126 days 2680.4
TCGA-A6-5666-01A 78 years, male, white, stage:Stage IIC, alive, 995 days 2620.6
TCGA-DM-A1D8-01A 50 years, female, white, stage:'--, dead, 383 days 2602.7
TCGA-AA-3660-01A 51 years, female, stage:Stage II, alive, 2375 days 2584.8
TCGA-AA-3675-01A 84 years, male, stage:Stage II, alive, 1431 days 2547.5
TCGA-NH-A50U-01A 42 years, male, black or african american, stage:Stage IVA, dead, 334 days 2506.6
TCGA-G4-6317-01A 51 years, female, white, stage:Stage IIIC, alive, 1095 days 2488.7
TCGA-D5-5537-01A 83 years, male, white, stage:'--, dead, 1381 days 2481.9
TCGA-DM-A28M-01A 63 years, male, white, stage:Stage IIA, alive, 2895 days 2441.0
TCGA-DM-A1D6-01A 88 years, male, white, stage:Stage IIA, dead, 570 days 2401.3
TCGA-AZ-6600-01A 64 years, male, black or african american, stage:Stage IV, dead, 368 days 2373.6
TCGA-D5-6538-01A 79 years, female, white, stage:Stage IIIB, alive, 521 days 2372.0
TCGA-NH-A6GA-01A 58 years, male, black or african american, stage:Stage IIIC, dead, 302 days 2362.7
TCGA-D5-6932-01A 69 years, male, white, stage:Stage IIA, alive, 346 days 2313.1
TCGA-SS-A7HO-01A 44 years, female, black or african american, stage:Stage IIB, alive, 1829 days 2292.1
TCGA-CM-4744-01A 69 years, male, white, stage:Stage I, alive, 609 days 2287.5
TCGA-AA-3662-01A 80 years, female, stage:Stage IV, alive, 184 days 2260.0
TCGA-AD-6890-01A 65 years, male, white, stage:'--, alive, 746 days 2250.2
TCGA-CK-5914-01A 81 years, male, white, stage:Stage IIIB, alive, 669 days 2241.2
TCGA-CM-6678-01A 63 years, female, white, stage:Stage IVA, alive, 335 days 2219.8
TCGA-NH-A50T-01A 68 years, female, black or african american, stage:Stage IIA, alive, 553 days 2207.9
TCGA-G4-6320-01A 73 years, male, white, stage:Stage III, alive, 804 days 2194.9
TCGA-DM-A28E-01A 72 years, female, white, stage:Stage IIA, alive, 3648 days 2192.9
TCGA-F4-6856-01A 45 years, male, white, stage:Stage I, alive, 1074 days 2189.4
TCGA-QG-A5YV-01A 64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days 2180.6
TCGA-5M-AAT4-01A 74 years, male, black or african american, stage:Stage IV, dead, 49 days 2180.5
TCGA-D5-6927-01A 34 years, male, white, stage:Stage IIA, alive, 287 days 2179.1
TCGA-F4-6854-01A 77 years, female, white, stage:Stage IIA, alive, 16 days 2172.8
TCGA-AD-6965-01A 62 years, male, white, stage:Stage IIIC, alive, 805 days 2162.8
TCGA-CK-6748-01A 45 years, female, white, stage:Stage IV, alive, 61 days 2142.7
TCGA-AZ-5407-01A 51 years, female, white, stage:Stage I, alive, 2683 days 2140.3
TCGA-G4-6628-01A 78 years, male, white, stage:Stage I, alive, 2424 days 2131.0
TCGA-CM-6677-01A 75 years, female, white, stage:Stage IIA, alive, 337 days 2130.6
TCGA-D5-6531-01A 75 years, male, white, stage:Stage IIA, alive, 540 days 2122.8
TCGA-A6-5657-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 962 days 2111.5
TCGA-DM-A285-01A 71 years, female, white, stage:Stage IV, dead, 179 days 2075.5
TCGA-CM-5349-01A 68 years, female, white, stage:Stage IIA, alive, 915 days 2071.6
TCGA-AD-5900-01A 67 years, male, white, stage:Stage I, alive, 370 days 2066.6
TCGA-A6-5662-01A 46 years, male, white, stage:Stage IVA, alive, 718 days 2037.1
TCGA-D5-6929-01A 49 years, female, white, stage:Stage IV, alive, 408 days 2020.6
TCGA-G4-6315-01A 66 years, male, white, stage:Stage IV, alive, 1883 days 2015.3
TCGA-CM-5860-01A 44 years, male, white, stage:Stage IIA, alive, 974 days 2011.5
TCGA-CA-6716-01A 65 years, male, asian, stage:Stage IIA, alive, 371 days 1995.3
TCGA-AD-6889-01A 76 years, male, asian, stage:Stage IIA, dead, 2532 days 1987.6
TCGA-AA-3685-01A 69 years, male, stage:Stage II, alive, 1127 days 1942.7
TCGA-NH-A8F7-01A 53 years, female, black or african american, stage:Stage IIA, alive, 543 days 1939.7
TCGA-CK-6751-01A 88 years, female, white, stage:Stage I, alive, 518 days 1933.7
TCGA-DM-A1HB-01A 75 years, male, white, stage:Stage IIIB, alive, 4126 days 1926.3
TCGA-F4-6704-01A 60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days 1921.5
TCGA-CM-6166-01A 48 years, female, white, stage:Stage I, alive, 669 days 1916.8
TCGA-AA-A02Y-01A 73 years, male, stage:Stage I, alive, 1216 days 1912.8
TCGA-A6-5660-01A 73 years, male, black or african american, stage:Stage IIIC, alive, 888 days 1901.2
TCGA-A6-A567-01A 56 years, male, black or african american, stage:Stage IV, dead, 1881 days 1882.2
TCGA-DM-A28H-01A 50 years, male, white, stage:Stage IIIC, alive, 3561 days 1880.6
TCGA-DM-A1D9-01A 67 years, female, white, stage:Stage IIA, alive, 4270 days 1868.2
TCGA-CM-6161-01A 36 years, female, white, stage:Stage I, alive, 457 days 1855.5
TCGA-AZ-5403-01A 43 years, male, white, stage:Stage II, dead, 1910 days 1850.8
TCGA-D5-5539-01A 60 years, male, white, stage:Stage IIIA, alive, 596 days 1841.4
TCGA-CM-5868-01A 59 years, female, white, stage:Stage IVA, alive, 518 days 1831.3
TCGA-CM-6163-01A 74 years, male, white, stage:Stage I, alive, 427 days 1828.3
TCGA-AD-6964-01A 58 years, male, white, stage:'--, dead, 331 days 1827.7
TCGA-A6-5665-01A 84 years, female, white, stage:Stage IIA, alive, 671 days 1822.4
TCGA-AD-6899-01A 84 years, male, white, stage:Stage IIIC, dead, 176 days 1821.9
TCGA-DM-A0X9-01A 71 years, female, white, stage:Stage IIA, alive, 3641 days 1819.1
TCGA-D5-6530-01A 53 years, male, white, stage:Stage I, alive, 621 days 1814.3
TCGA-F4-6807-01A 51 years, female, white, stage:Stage IIIC, alive, 1309 days 1811.6
TCGA-CM-5863-01A 60 years, female, white, stage:Stage IIIB, alive, 457 days 1809.2
TCGA-AZ-4616-01A 82 years, female, white, stage:Stage IV, dead, 156 days 1806.0
TCGA-AY-A71X-01A 54 years, female, black or african american, stage:Stage I, alive, 588 days 1805.0
TCGA-G4-6303-01A 54 years, female, white, stage:Stage IV, dead, 2003 days 1796.6
TCGA-CA-6717-01A 57 years, male, asian, stage:Stage IIA, alive, 388 days 1792.0
TCGA-G4-6294-01A 75 years, male, white, stage:Stage IV, dead, 858 days 1792.0
TCGA-QL-A97D-01A 84 years, female, black or african american, stage:Stage I, alive, 666 days 1774.4
TCGA-CA-6715-01A 63 years, male, asian, stage:Stage IIIB, alive, 383 days 1773.9
TCGA-CK-4952-01A 48 years, female, white, stage:Stage IIIC, alive, 475 days 1771.1
TCGA-AD-6888-01A 73 years, male, white, stage:Stage IIIB, dead, 472 days 1762.5
TCGA-F4-6463-01A 51 years, male, white, stage:Stage IIA, alive, 1087 days 1762.1
TCGA-DM-A1D7-01A 82 years, male, white, stage:Stage IIA, dead, 405 days 1761.8
TCGA-F4-6805-01A 58 years, female, white, stage:Stage IIA, alive, 1047 days 1757.0
TCGA-D5-6930-01A 67 years, male, white, stage:Stage IIA, alive, 406 days 1757.0
TCGA-AM-5821-01A 68 years, female, white, stage:Stage IIA, alive, 28 days 1750.5
TCGA-CM-5861-01A 63 years, female, white, stage:Stage IIA, alive, 457 days 1743.6
TCGA-F4-6461-01A 41 years, female, white, stage:Stage IIIC, dead, 338 days 1742.0
TCGA-AZ-6599-01A 72 years, male, white, stage:Stage I, dead, 206 days 1740.7
TCGA-DM-A1DB-01A 68 years, male, white, stage:Stage IIA, dead, 1348 days 1736.9
TCGA-A6-6652-01A 59 years, male, black or african american, stage:Stage IVA, alive, 751 days 1736.6
TCGA-G4-6626-01A 90 years, male, white, stage:Stage IIA, dead, 1 days 1734.6
TCGA-F4-6809-01A 52 years, female, white, stage:Stage IVA, dead, 403 days 1732.8
TCGA-CK-5916-01A 71 years, female, white, stage:Stage I, dead, 643 days 1723.2
TCGA-F4-6460-01A 51 years, female, white, stage:Stage IIIB, dead, 972 days 1719.1
TCGA-CA-6719-01A 77 years, male, asian, stage:Stage IIA, alive, 435 days 1717.6
TCGA-CM-6680-01A 78 years, female, white, stage:Stage IIIB, alive, 366 days 1717.2
TCGA-CA-6718-01A 46 years, male, asian, stage:Stage IIA, dead, 306 days 1716.4
TCGA-CK-6747-01A 87 years, female, white, stage:Stage IIA, alive, 820 days 1704.4
TCGA-NH-A6GC-01A 66 years, female, black or african american, stage:Stage IVB, alive, 389 days 1699.9
TCGA-G4-6588-01A 58 years, female, white, stage:Stage IIA, alive, 796 days 1699.0
TCGA-DM-A28C-01A 74 years, male, white, stage:Stage IIA, dead, 2475 days 1688.7
TCGA-D5-6924-01A 68 years, male, white, stage:Stage IIA, alive, 435 days 1681.6
TCGA-G4-6322-01A 65 years, male, white, stage:Stage IIIB, alive, 792 days 1680.6
TCGA-D5-5538-01A 60 years, female, white, stage:Stage IIIB, dead, 1661 days 1669.3
TCGA-G4-6314-01A 76 years, female, white, stage:Stage IV, alive, 1093 days 1666.4
TCGA-CA-5254-01A 42 years, female, asian, stage:Stage IIA, alive, 386 days 1660.3
TCGA-F4-6806-01A 59 years, female, white, stage:Stage I, alive, 1260 days 1658.8
TCGA-AM-5820-01A 59 years, female, white, stage:Stage IVA, alive, 14 days 1654.9
TCGA-DM-A28G-01A 75 years, male, white, stage:Stage IIA, dead, 1849 days 1650.0
TCGA-A6-6780-01A 74 years, male, white, stage:Stage IIA, alive, 612 days 1647.8
TCGA-D5-6532-01A 61 years, male, white, stage:Stage IIA, alive, 555 days 1636.4
TCGA-CM-6170-01A 73 years, female, white, stage:Stage I, alive, 457 days 1634.5
TCGA-A6-4105-01A 79 years, male, white, stage:Stage IIA, dead, 442 days 1624.2
TCGA-D5-6926-01A 65 years, male, white, stage:Stage IIIB, alive, 275 days 1622.9
TCGA-AA-3526-01A 57 years, male, stage:Stage I, alive, 580 days 1617.3
TCGA-A6-5659-01A 82 years, male, white, stage:Stage I, alive, 926 days 1616.7
TCGA-F4-6569-01A 60 years, male, white, stage:Stage I, alive, 1087 days 1613.9
TCGA-DM-A280-01A 70 years, female, white, stage:Stage IIA, dead, 236 days 1612.9
TCGA-D5-6923-01A 57 years, male, white, stage:Stage I, alive, 378 days 1603.9
TCGA-DM-A1D0-01A 79 years, female, white, stage:Stage IIA, alive, 3974 days 1600.6
TCGA-A6-5664-01A 80 years, male, black or african american, stage:Stage IIIC, alive, 672 days 1587.5
TCGA-AD-6895-01A 84 years, male, white, stage:Stage IIIB, alive, 763 days 1582.5
TCGA-3L-AA1B-01A 61 years, female, black or african american, stage:Stage I, alive, 475 days 1580.3
TCGA-AY-A54L-01A 74 years, female, black or african american, stage:Stage I, alive, 525 days 1577.4
TCGA-CM-6164-01A 46 years, female, white, stage:Stage IIA, alive, 883 days 1572.7
TCGA-G4-6307-01A 37 years, female, white, stage:Stage IIIB, alive, 1674 days 1570.5
TCGA-G4-6295-01A 70 years, female, white, stage:Stage II, alive, 254 days 1561.9
TCGA-A6-A56B-01A 57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days 1561.9
TCGA-CK-5913-01A 58 years, female, white, stage:Stage IIA, alive, 1561 days 1560.3
TCGA-AZ-6601-01A 68 years, male, white, stage:Stage II, dead, 3042 days 1559.6
TCGA-DM-A282-01A 60 years, female, white, stage:Stage IIA, alive, 4233 days 1558.0
TCGA-DM-A0XD-01A 65 years, male, white, stage:Stage IIA, dead, 743 days 1554.6
TCGA-CA-5255-01A 45 years, male, asian, stage:Stage IIA, alive, 376 days 1552.3
TCGA-AY-6197-01A 60 years, male, white, stage:Stage IIA, alive, 652 days 1539.5
TCGA-A6-6653-01A 82 years, male, white, stage:Stage I, alive, 742 days 1536.3
TCGA-RU-A8FL-01A 51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days 1535.9
TCGA-AY-A69D-01A 55 years, female, black or african american, stage:Stage IIA, alive, 543 days 1532.6
TCGA-A6-5661-01A 80 years, female, black or african american, stage:Stage IIA, alive, 1020 days 1530.5
TCGA-DM-A1D4-01A 80 years, male, white, stage:Stage IIA, dead, 2821 days 1528.0
TCGA-AZ-6606-01A 81 years, male, white, stage:Stage IV, dead, 357 days 1523.4
TCGA-D5-6541-01A 49 years, male, white, stage:Stage IIA, alive, 474 days 1496.4
TCGA-AA-3496-01A 83 years, female, stage:Stage II, alive, 31 days 1495.9
TCGA-D5-6928-01A 80 years, male, white, stage:Stage IIA, alive, 354 days 1495.1
TCGA-G4-6323-01A 50 years, male, black or african american, stage:Stage IA, alive, 419 days 1483.9
TCGA-CM-6169-01A 67 years, male, black or african american, stage:Stage IIA, alive, 396 days 1482.0
TCGA-AY-5543-01A 65 years, female, black or african american, stage:Stage IVA, alive, 1004 days 1478.9
TCGA-AD-6548-01A 81 years, female, white, stage:Stage I, alive, 650 days 1478.3
TCGA-CK-5912-01A 81 years, male, white, stage:Stage I, dead, 1493 days 1470.4
TCGA-QG-A5Z2-01A 61 years, male, black or african american, stage:Stage I, alive, 952 days 1462.6
TCGA-D5-6922-01A 76 years, male, white, stage:Stage IIIA, alive, 308 days 1450.4
TCGA-CM-6168-01A 84 years, female, black or african american, stage:Stage IIA, alive, 395 days 1450.4
TCGA-AY-6386-01A 66 years, female, black or african american, stage:Stage IIIB, alive, 542 days 1447.6
TCGA-5M-AAT6-01A 40 years, female, black or african american, stage:Stage IV, dead, 290 days 1439.8
TCGA-G4-6306-01A 71 years, male, white, stage:'--, alive, 1359 days 1425.0
TCGA-NH-A50V-01A 69 years, male, black or african american, stage:Stage IIIB, alive, 588 days 1422.3
TCGA-AA-A02K-01A 50 years, male, stage:Stage IV, dead, 426 days 1421.5
TCGA-QG-A5YW-01A 55 years, female, black or african american, stage:Stage IIIC, alive, 896 days 1420.2
TCGA-AA-3697-01A 77 years, male, stage:Stage II, alive, 2587 days 1414.1
TCGA-G4-6310-01A 69 years, male, white, stage:Stage IIIB, alive, 1935 days 1412.0
TCGA-CM-6167-01A 57 years, female, black or african american, stage:Stage IIIC, alive, 456 days 1411.9
TCGA-D5-6537-01A 64 years, male, white, stage:Stage IIIB, dead, 146 days 1411.4
TCGA-A6-6782-01A 82 years, male, white, stage:Stage IIB, alive, 617 days 1405.7
TCGA-4N-A93T-01A 67 years, male, black or african american, stage:Stage IIIB, alive, 146 days 1404.9
TCGA-D5-7000-01A 79 years, female, white, stage:Stage I, alive, 312 days 1404.1
TCGA-D5-6533-01A 68 years, female, white, stage:'--, alive, 775 days 1400.1
TCGA-CM-5348-01A 72 years, male, white, stage:Stage IIIB, alive, 699 days 1398.4
TCGA-CM-4751-01A 62 years, male, white, stage:Stage IIIB, alive, 822 days 1392.5
TCGA-A6-5656-01A 74 years, male, white, stage:Stage I, alive, 1001 days 1387.5
TCGA-CM-6172-01A 70 years, female, white, stage:Stage IIIB, alive, 335 days 1381.6
TCGA-D5-6931-01A 77 years, male, white, stage:Stage IIIC, alive, 365 days 1376.4
TCGA-A6-6648-01A 56 years, male, white, stage:Stage IVA, alive, 766 days 1366.2
TCGA-D5-6540-01A 66 years, male, white, stage:Stage I, alive, 491 days 1360.7
TCGA-CM-6674-01A 39 years, male, white, stage:Stage IIA, alive, 394 days 1353.5
TCGA-A6-6137-01A 55 years, male, white, stage:Stage IIIB, alive, 824 days 1351.5
TCGA-AA-3489-01A 75 years, male, stage:Stage II, dead, 214 days 1350.3
TCGA-G4-6625-01A 77 years, female, white, stage:Stage IIA, alive, 2792 days 1342.9
TCGA-AZ-4323-01A 37 years, male, white, stage:Stage IV, dead, 43 days 1338.5
TCGA-A6-6781-01A 43 years, male, white, stage:Stage IIIC, alive, 598 days 1320.1
TCGA-AZ-6607-01A 69 years, male, white, stage:Stage IV, dead, 97 days 1318.1
TCGA-A6-3810-01A 62 years, male, white, stage:Stage IIA, alive, 1111 days 1313.3
TCGA-A6-6138-01A 61 years, male, white, stage:Stage I, alive, 685 days 1312.8
TCGA-QG-A5YX-01A 61 years, female, black or african american, stage:Stage IIA, alive, 1003 days 1308.6
TCGA-A6-6651-01A 55 years, female, white, stage:Stage IIIB, alive, 662 days 1307.4
TCGA-DM-A28F-01A 73 years, male, white, stage:Stage IIIB, dead, 1094 days 1303.9
TCGA-F4-6570-01A 78 years, female, white, stage:Stage IIA, dead, 188 days 1300.5
TCGA-A6-6649-01A 66 years, male, white, stage:Stage IIIB, alive, 735 days 1295.0
TCGA-CA-5797-01A 56 years, male, asian, stage:Stage IIA, alive, 383 days 1285.4
TCGA-CM-6676-01A 82 years, male, white, stage:Stage I, alive, 337 days 1279.0
TCGA-G4-6293-01A 49 years, female, white, stage:Stage III, alive, 4051 days 1277.6
TCGA-A6-6141-01A 31 years, male, black or african american, stage:Stage IIA, alive, 255 days 1276.6
TCGA-QG-A5Z1-01A 71 years, male, black or african american, stage:Stage IIIB, dead, 256 days 1275.0
TCGA-AD-6963-01A 58 years, male, white, stage:'--, alive, 834 days 1270.6
TCGA-A6-A5ZU-01A 59 years, male, black or african american, stage:Stage IIIB, alive, 293 days 1251.4
TCGA-CM-4743-01A 69 years, male, white, stage:Stage IIA, alive, 701 days 1251.4
TCGA-G4-6299-01A 69 years, male, white, stage:Stage IIIC, alive, 2268 days 1246.3
TCGA-G4-6311-01A 80 years, male, white, stage:Stage III, alive, 1199 days 1237.9
TCGA-5M-AATE-01A 76 years, male, black or african american, stage:Stage IIA, alive, 1200 days 1236.0
TCGA-D5-6920-01A 77 years, female, white, stage:Stage IIA, alive, 377 days 1225.8
TCGA-D5-6536-01A 73 years, male, white, stage:Stage IIA, alive, 543 days 1220.0
TCGA-AA-3655-01A 68 years, male, stage:Stage II, alive, 1856 days 1218.8
TCGA-CM-6165-01A 74 years, male, white, stage:Stage IIA, alive, 488 days 1213.1
TCGA-D5-6539-01A 45 years, female, white, stage:'--, alive, 380 days 1212.6
TCGA-AZ-6598-01A 77 years, female, white, stage:Stage II, dead, 1503 days 1196.2
TCGA-NH-A6GB-01A 71 years, female, black or african american, stage:Stage IIIC, alive, 476 days 1193.2
TCGA-AZ-6603-01A 77 years, female, white, stage:'--, dead, 899 days 1188.0
TCGA-A6-6140-01A 62 years, male, white, stage:Stage IIA, alive, 734 days 1186.6
TCGA-F4-6703-01A 64 years, male, white, stage:Stage IIA, alive, 1456 days 1175.7
TCGA-AA-3713-01A 68 years, male, stage:Stage IV, alive, 579 days 1166.7
TCGA-CM-6162-01A 48 years, female, white, stage:Stage IIIB, alive, 365 days 1165.7
TCGA-A6-6650-01A 69 years, female, black or african american, stage:Stage IIA, alive, 627 days 1156.7
TCGA-4T-AA8H-01A 42 years, female, black or african american, stage:Stage IIA, alive, 385 days 1150.2
TCGA-AU-6004-01A 69 years, female, white, stage:Stage I, alive, 824 days 1111.8
TCGA-WS-AB45-01A 52 years, female, black or african american, stage:Stage IIA, alive, 2130 days 1108.6
TCGA-D5-6534-01A 62 years, female, white, stage:Stage IIA, alive, 1316 days 1089.0
TCGA-A6-2674-01A 71 years, male, white, stage:Stage IV, alive, 1331 days 1086.6
TCGA-CM-6679-01A 58 years, male, white, stage:Stage IIA, alive, 306 days 1079.7
TCGA-A6-A565-01A 34 years, female, black or african american, stage:Stage IIIC, dead, 494 days 1079.3
TCGA-CK-4950-01A 68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days 1074.3
TCGA-AU-3779-01A 80 years, female, white, stage:Stage IIA, alive, 441 days 1073.2
TCGA-A6-2675-01A 78 years, male, white, stage:Stage IIA, alive, 1321 days 1073.0
TCGA-F4-6459-01A 61 years, female, white, stage:Stage IIIB, dead, 262 days 1066.9
TCGA-AA-3511-01A 64 years, male, stage:Stage II, alive, 212 days 1064.3
TCGA-CM-5344-01A 39 years, female, white, stage:Stage IIIB, alive, 670 days 1060.0
TCGA-A6-A566-01A 55 years, female, black or african american, stage:Stage IIIB, dead, 758 days 1059.7
TCGA-CM-6171-01A 77 years, female, white, stage:Stage I, alive, 427 days 1048.5
TCGA-AY-6196-01A 47 years, male, white, stage:Stage IIIC, alive, 6 days 1046.8
TCGA-AZ-6605-01A 77 years, male, white, stage:Stage IIIB, dead, 159 days 1040.2
TCGA-T9-A92H-01A 82 years, male, black or african american, stage:Stage IIA, alive, 362 days 1039.9
TCGA-D5-6529-01A 69 years, male, white, stage:Stage IIA, alive, 614 days 1011.1
TCGA-D5-6898-01A 51 years, female, white, stage:Stage I, alive, 229 days 1004.8
TCGA-AY-A8YK-01A 44 years, male, black or african american, stage:Stage IVA, alive, 573 days 998.4
TCGA-G4-6309-01A 40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days 991.7
TCGA-G4-6627-01A 84 years, male, white, stage:Stage IIA, alive, 2175 days 991.5
TCGA-AZ-6608-01A 55 years, female, white, stage:Stage IIIA, dead, 59 days 990.7
TCGA-G4-6586-01A 73 years, female, white, stage:Stage IIA, alive, 1089 days 952.3
TCGA-A6-5667-01A 40 years, female, white, stage:Stage IIIB, alive, 887 days 935.4
TCGA-D5-6535-01A 80 years, female, white, stage:Stage IIIB, alive, 460 days 916.1
TCGA-A6-6654-01A 65 years, female, white, stage:Stage IIIB, alive, 726 days 902.3
TCGA-CM-6675-01A 35 years, male, black or african american, stage:Stage IVB, alive, 397 days 882.8
TCGA-A6-6142-01A 56 years, female, white, stage:Stage IVA, alive, 763 days 819.0
TCGA-NH-A8F8-01A 79 years, male, black or african american, stage:Stage IV, dead, 511 days 800.1
TCGA-F4-6808-01A 54 years, female, white, stage:Stage I, alive, 1024 days 796.0
TCGA-G4-6297-01A 55 years, female, white, stage:Stage IV, alive, 2506 days 723.3
TCGA-DM-A0XF-01A 68 years, female, white, stage:Stage IIIC, dead, 1162 days 646.1
TCGA-G4-6321-01A 60 years, female, white, stage:Stage III, alive, 672 days 622.2
Show allShow less
COLON ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

RPL7A is potential prognostic, high expression is unfavorable in Colon Adenocarcinoma (validation)


Stage:





Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 1000.79
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 811.6
Number of samples 486
Samples
Sample Description pTPM
U0967 84 years, male, NA, stage:T2N0M0, dead, 1691 days 2343.4
U0166 82 years, female, NA, stage:T3N0M0, alive, 763 days 1901.1
U0104 87 years, female, NA, stage:T4N0M0, dead, 1639 days 1874.6
U0447 51 years, male, NA, stage:T4N1M0, dead, 1819 days 1774.0
U0383 60 years, male, NA, stage:T3N2M1, dead, 595 days 1697.3
U0363 61 years, male, NA, stage:T3N1M0, alive, 3601 days 1675.1
U2798 68 years, male, NA, stage:T3N0M0, alive, 751 days 1649.4
U0122 85 years, female, NA, stage:T2N0M0, dead, 159 days 1584.8
U0429 58 years, female, NA, stage:T3N0M1, alive, 1099 days 1493.8
U3048 57 years, male, NA, stage:T4N2M0, alive, 535 days 1439.8
U2928 52 years, male, NA, stage:T2N0M0, alive, 563 days 1412.7
U0389 64 years, female, NA, stage:T3N1M0, dead, 927 days 1399.6
U1366 63 years, male, NA, stage:T3N1M0, alive, 2010 days 1346.0
U0446 53 years, male, NA, stage:T2N0M0, alive, 1446 days 1345.9
U0185 80 years, male, NA, stage:T1N0M0, alive, 1248 days 1345.2
U1155 75 years, male, NA, stage:T4N1M0, alive, 1815 days 1341.5
U3030 77 years, female, NA, stage:T3N0M0, alive, 380 days 1338.9
U0387 65 years, male, NA, stage:T2N0M0, alive, 1327 days 1331.2
U0170 77 years, male, NA, stage:T4N1M0, dead, 832 days 1328.8
U0306 71 years, male, NA, stage:T3N1M0, dead, 717 days 1311.6
U0356 68 years, male, NA, stage:T4N1M0, alive, 536 days 1287.5
U0127 80 years, female, NA, stage:T3N0M0, dead, 2753 days 1287.4
U0072 88 years, male, NA, stage:T3N0M0, alive, 2772 days 1278.6
U0144 84 years, male, NA, stage:T3N0M0, alive, 1218 days 1261.3
U2953 55 years, female, NA, stage:T4aN0M0, alive, 541 days 1254.2
U0181 74 years, female, NA, stage:T1N0M0, alive, 3623 days 1241.2
U0414 60 years, male, NA, stage:T3N0M0, alive, 1691 days 1239.6
U0302 73 years, male, NA, stage:T1N0M0, alive, 892 days 1228.0
U0167 79 years, male, NA, stage:T3N1M0, alive, 1820 days 1214.3
U1344 65 years, female, NA, stage:T3N1M0, alive, 1450 days 1213.4
U3012 66 years, male, NA, stage:T3N0M0, alive, 472 days 1194.9
U0898 90 years, female, NA, stage:T4aN0M0, dead, 340 days 1194.8
U0157 83 years, male, NA, stage:T4N0M0, dead, 131 days 1185.6
U3022 77 years, male, NA, stage:T2N0M0, alive, 484 days 1184.7
U0413 61 years, male, NA, stage:T2N0M0, alive, 1228 days 1184.5
U0404 57 years, female, NA, stage:T3N2M0, dead, 204 days 1176.7
U2927 51 years, male, NA, stage:T3N1M0, alive, 564 days 1162.9
U0908 89 years, female, NA, stage:T3N0M1, dead, 40 days 1160.5
U1369 63 years, male, NA, stage:T3N0M0, dead, 1604 days 1150.6
U0400 62 years, male, NA, stage:T4N0M0, dead, 1073 days 1145.3
U0933 85 years, male, NA, stage:T3N2M0, dead, 1960 days 1138.7
U0186 73 years, female, NA, stage:T2N0M0, alive, 3726 days 1137.6
U2999 79 years, female, NA, stage:T2N0M0, alive, 581 days 1132.7
U2942 74 years, male, NA, stage:T2N0M0, alive, 549 days 1132.2
U1049 82 years, female, NA, stage:T3N1M0, alive, 1200 days 1126.2
U1158 76 years, female, NA, stage:T3N1M0, alive, 721 days 1125.1
U1474 45 years, female, NA, stage:T1N0MX, alive, 2012 days 1124.3
U1291 68 years, female, NA, stage:T3N0M0, alive, 2000 days 1123.3
U2975 85 years, male, NA, stage:T4N1M0, alive, 514 days 1117.8
U0972 83 years, female, NA, stage:T1N0M0, alive, 2473 days 1115.2
U1332 65 years, male, NA, stage:T3N0M0, alive, 1672 days 1113.5
U0292 71 years, male, NA, stage:T4N1M0, alive, 1666 days 1104.6
U0098 84 years, male, NA, stage:T3N0M0, dead, 2473 days 1104.5
U1352 61 years, male, NA, stage:T3N2M1, dead, 741 days 1101.9
U0314 67 years, female, NA, stage:T1N0M0, dead, 2436 days 1100.5
U3037 63 years, male, NA, stage:T3N1M0, alive, 405 days 1100.5
U1060 78 years, male, NA, stage:T3N0M0, alive, 2442 days 1096.9
U1253 68 years, female, NA, stage:T3N0M0, dead, 165 days 1093.7
U0254 75 years, female, NA, stage:T3N1M0, alive, 659 days 1090.3
U0105 82 years, female, NA, stage:T2N0M0, dead, 2158 days 1086.6
U1274 69 years, male, NA, stage:T2N1M0, alive, 1198 days 1081.1
U0108 84 years, female, NA, stage:T3N0M1, alive, 535 days 1080.4
U1241 70 years, male, NA, stage:T3N1M0, dead, 49 days 1080.0
U0183 74 years, male, NA, stage:T3N1M1, dead, 2957 days 1077.0
U2995 81 years, female, NA, stage:T3N1M0, alive, 491 days 1076.3
U0358 64 years, female, NA, stage:T4N1M0, alive, 2290 days 1075.0
U0275 69 years, female, NA, stage:T3N2M0, alive, 549 days 1073.5
U3034 64 years, female, NA, stage:T3N1M0, alive, 443 days 1072.0
U1239 69 years, male, NA, stage:T2N0M0, dead, 1998 days 1069.2
U0168 81 years, male, NA, stage:T3N0M0, dead, 948 days 1061.2
U1018 81 years, male, NA, stage:T4N1M1, dead, 1693 days 1060.4
U0245 71 years, female, NA, stage:T3N1M0, dead, 564 days 1050.3
U2959 63 years, male, NA, stage:T3N2M0, alive, 536 days 1049.5
U0211 76 years, female, NA, stage:T3N1M0, alive, 1236 days 1048.0
U0394 65 years, male, NA, stage:T2N1M0, alive, 969 days 1047.0
U0111 88 years, male, NA, stage:T2N0M0, alive, 1117 days 1044.5
U0379 63 years, male, NA, stage:T2N0M0, alive, 1819 days 1043.3
U3032 61 years, female, NA, stage:T3N1M0, alive, 449 days 1041.6
U2947 77 years, female, NA, stage:T3N0M0, alive, 543 days 1040.0
U0966 84 years, male, NA, stage:T4N0M0, dead, 1513 days 1039.5
U0112 86 years, female, NA, stage:T3N0M1, alive, 551 days 1039.0
U1022 81 years, male, NA, stage:T4N2M0, dead, 61 days 1038.9
U0976 82 years, female, NA, stage:T3N2M0, dead, 97 days 1036.8
U0399 63 years, female, NA, stage:T4N2M0, dead, 547 days 1034.7
U1448 53 years, male, NA, stage:T3N0M1, dead, 1512 days 1034.2
U0126 79 years, male, NA, stage:T3N0M0, dead, 2876 days 1034.1
U0999 84 years, male, NA, stage:T3N2M0, alive, 860 days 1032.5
U0290 72 years, male, NA, stage:T4N2M0, dead, 593 days 1031.9
U0217 76 years, female, NA, stage:T3N0M0, dead, 538 days 1030.7
U0350 68 years, female, NA, stage:T4N0M0, alive, 770 days 1030.1
U1338 67 years, female, NA, stage:T4N1M0, dead, 716 days 1025.5
U1208 74 years, female, NA, stage:T1N0M0, alive, 834 days 1025.4
U0352 62 years, female, NA, stage:T4N2M0, dead, 385 days 1025.0
U2958 84 years, female, NA, stage:T1N0M0, alive, 536 days 1023.5
U1104 78 years, female, NA, stage:T4N0M0, alive, 1109 days 1023.0
U0256 74 years, male, NA, stage:T3N0M0, alive, 738 days 1022.9
U0203 77 years, male, NA, stage:T3N0M0, dead, 827 days 1022.2
U0312 65 years, female, NA, stage:T4N2M1, alive, 499 days 1019.4
U0991 83 years, male, NA, stage:T4N2M0, dead, 534 days 1013.8
U1204 71 years, male, NA, stage:T4N2M0, alive, 2214 days 1008.4
U0240 75 years, female, NA, stage:T3N1M0, dead, 800 days 1000.8
U0288 72 years, male, NA, stage:T1N0M0, alive, 1513 days 998.1
U0390 64 years, male, NA, stage:T3N1M0, alive, 871 days 996.0
U2782 79 years, male, NA, stage:T3N1M1, alive, 773 days 995.8
U0091 90 years, male, NA, stage:T3N0M0, alive, 520 days 991.0
U0416 61 years, male, NA, stage:T1N1M0, alive, 1228 days 987.9
U0977 84 years, female, NA, stage:T4N2M0, dead, 140 days 980.9
U3050 61 years, female, NA, stage:T3N0M0, alive, 407 days 980.4
U3008 82 years, female, NA, stage:T2N0M0, alive, 473 days 980.0
U1130 78 years, male, NA, stage:T2N1M0, alive, 913 days 976.6
U1251 69 years, male, NA, stage:T4N2M0, alive, 126 days 975.9
U0121 86 years, male, NA, stage:T4N2M0, alive, 655 days 971.8
U1094 79 years, female, NA, stage:T4N1M0, alive, 1267 days 971.0
U0154 83 years, male, NA, stage:T3N0M0, alive, 820 days 970.9
U0937 86 years, male, NA, stage:T2N0M0, dead, 1558 days 967.3
U2815 82 years, female, NA, stage:T3N0M0, alive, 717 days 966.7
U2848 67 years, female, NA, stage:T4N2M0, alive, 669 days 960.7
U1432 60 years, female, NA, stage:T3N1M0, alive, 577 days 958.9
U1201 72 years, male, NA, stage:T3N2M0, alive, 1484 days 958.4
U0231 77 years, female, NA, stage:T2N0M0, alive, 991 days 957.4
U0081 87 years, male, NA, stage:T3N2M0, dead, 248 days 955.0
U0224 72 years, female, NA, stage:T3N0M0, alive, 2367 days 954.4
U0354 69 years, male, NA, stage:T3N1M0, alive, 430 days 950.0
U1396 62 years, female, NA, stage:T4N0M0, alive, 1168 days 948.8
U1246 70 years, female, NA, stage:T3N0M0, alive, 1441 days 947.9
U1349 63 years, female, NA, stage:T3N1M0, alive, 1899 days 942.0
U0408 56 years, female, NA, stage:T4N0M0, dead, 2100 days 941.5
U0152 82 years, male, NA, stage:T3N1M0, alive, 989 days 938.6
U0300 71 years, male, NA, stage:T2N0M0, alive, 974 days 937.5
U0303 67 years, female, NA, stage:T3N0M0, alive, 2847 days 933.7
U1264 69 years, female, NA, stage:T3N0M0, dead, 1583 days 933.4
U0426 59 years, male, NA, stage:T3N0M0, dead, 976 days 930.5
U0117 83 years, female, NA, stage:T2N0M0, dead, 1078 days 930.2
U2861 78 years, male, NA, stage:T3N0M0, alive, 652 days 929.2
U0135 82 years, female, NA, stage:T3N0M0, alive, 1738 days 920.3
U0464 49 years, male, NA, stage:T3N0M0, alive, 918 days 920.1
U3038 82 years, male, NA, stage:T3N0M0, alive, 328 days 918.5
U0382 61 years, female, NA, stage:T3N0M0, alive, 2550 days 916.5
U0195 73 years, male, NA, stage:T3N0M0, alive, 3326 days 916.3
U0277 72 years, male, NA, stage:T2N1M0, alive, 270 days 914.8
U0180 74 years, male, NA, stage:T3N0M1, dead, 965 days 912.7
U3018 67 years, male, NA, stage:T4N1M0, alive, 463 days 912.2
U3039 74 years, male, NA, stage:T4N1M1, dead, 366 days 910.3
U0326 64 years, female, NA, stage:T3N0M0, alive, 3178 days 910.1
U0589 56 years, female, NA, stage:T3N0M0, alive, 1176 days 909.8
U0191 80 years, male, NA, stage:T3N1M0, alive, 900 days 909.5
U1421 59 years, female, NA, stage:T3N1M0, alive, 1905 days 908.1
U0004 61 years, female, NA, stage:T4N0M0, alive, 3649 days 904.9
U3042 62 years, male, NA, stage:T3N0M0, alive, 324 days 904.9
U0323 69 years, male, NA, stage:T2N0M0, dead, 1016 days 902.4
U0316 68 years, male, NA, stage:T3N2M0, alive, 2012 days 901.8
U2819 86 years, female, NA, stage:T3N0M0, alive, 708 days 900.0
U0440 51 years, female, NA, stage:T4N0M0, dead, 2743 days 899.4
U1304 69 years, female, NA, stage:TXNXM0, alive, 1081 days 898.9
U1454 54 years, female, NA, stage:T3N0M0, alive, 393 days 897.0
U0234 75 years, male, NA, stage:T1N1M0, alive, 990 days 896.9
U0142 80 years, female, NA, stage:T4N1M0, alive, 2340 days 896.1
U0328 66 years, male, NA, stage:T4N0M0, dead, 1362 days 895.8
U0177 81 years, female, NA, stage:T3N0M0, alive, 355 days 888.2
U1392 61 years, male, NA, stage:T3N0M0, alive, 1513 days 887.5
U0448 46 years, male, NA, stage:T3N2M0, alive, 3615 days 885.3
U0368 67 years, male, NA, stage:T2N0M0, alive, 801 days 884.3
U1122 75 years, female, NA, stage:T3N2M0, alive, 1675 days 883.3
U0083 88 years, male, NA, stage:T4N0M0, dead, 731 days 882.1
U0263 69 years, female, NA, stage:T3N0M1, alive, 362 days 880.2
U1160 74 years, male, NA, stage:T3N1M0, alive, 1557 days 879.9
U1301 66 years, female, NA, stage:T4N2M0, dead, 877 days 879.3
U0471 38 years, female, NA, stage:T3N1M0, alive, 1673 days 875.9
U0163 81 years, male, NA, stage:T4N0M0, alive, 697 days 874.5
U0171 78 years, female, NA, stage:T3N1M0, dead, 1920 days 870.8
U2747 85 years, female, NA, stage:T4N1M0, dead, 54 days 868.6
U3029 84 years, male, NA, stage:T2N0M0, alive, 475 days 866.6
U1017 82 years, male, NA, stage:T3N0M0, alive, 615 days 866.2
U0262 69 years, female, NA, stage:T2N0M0, alive, 2534 days 863.5
U0215 77 years, male, NA, stage:T3N0M0, alive, 1269 days 860.1
U0149 82 years, female, NA, stage:T3N2M0, alive, 1715 days 857.7
U1447 57 years, male, NA, stage:T4N1M0, alive, 988 days 855.6
U0317 64 years, female, NA, stage:T3N2M0, alive, 3209 days 855.0
U0939 82 years, male, NA, stage:T3N1M0, alive, 2960 days 853.7
U2792 68 years, male, NA, stage:T2N1M0, alive, 758 days 850.1
U1078 80 years, female, NA, stage:T3N0M0, alive, 1016 days 850.0
U0199 78 years, female, NA, stage:T4N2M0, alive, 1372 days 848.4
U0225 77 years, male, NA, stage:T3N1M0, alive, 581 days 846.6
U0136 79 years, female, NA, stage:T3N0M0, dead, 2795 days 846.4
U0278 73 years, female, NA, stage:T2N0M0, alive, 763 days 846.2
U0427 59 years, male, NA, stage:T2N0M0, alive, 1193 days 844.8
U1032 80 years, male, NA, stage:T3N1M0, alive, 2113 days 844.6
U0085 88 years, male, NA, stage:T4N1M0, dead, 1698 days 840.4
U0148 80 years, male, NA, stage:T3N0M0, alive, 1780 days 839.5
U0252 70 years, male, NA, stage:T3N1M0, dead, 1761 days 839.3
U0067 92 years, female, NA, stage:T3N0M0, alive, 2180 days 838.7
U0198 77 years, male, NA, stage:T3N1M0, alive, 1272 days 837.9
U0459 49 years, female, NA, stage:T3N0M0, alive, 966 days 837.1
U0433 58 years, male, NA, stage:T4N1M1, dead, 440 days 835.5
U0342 68 years, male, NA, stage:T4N2M0, alive, 305 days 835.1
U0222 72 years, female, NA, stage:T3N2M1, alive, 1779 days 834.9
U0467 38 years, female, NA, stage:T3N0M0, alive, 1848 days 834.3
U2902 86 years, female, NA, stage:T2N0M0, alive, 596 days 834.1
U0106 82 years, female, NA, stage:T3N1M0, dead, 653 days 833.6
U0244 69 years, female, NA, stage:T3N1M0, alive, 3184 days 832.5
U0376 66 years, male, NA, stage:T2N1M0, alive, 965 days 831.2
U0320 66 years, female, NA, stage:T4N2M1, alive, 188 days 829.2
U1483 43 years, female, NA, stage:T3N0M0, alive, 1094 days 828.7
U0273 68 years, male, NA, stage:T2N1M0, alive, 2641 days 828.1
U0260 69 years, male, NA, stage:T1N0M1, alive, 2928 days 822.7
U0087 87 years, female, NA, stage:T3N2M0, dead, 337 days 821.9
U0950 86 years, female, NA, stage:T4N1M0, alive, 1834 days 817.6
U0161 78 years, male, NA, stage:T4N2M1, alive, 42 days 816.9
U0145 81 years, male, NA, stage:T3N1M1, alive, 623 days 816.5
U2843 89 years, female, NA, stage:T3N0M0, alive, 674 days 815.6
U1258 70 years, male, NA, stage:T3N1M0, alive, 1373 days 813.8
U0344 69 years, male, NA, stage:T2N1M0, dead, 818 days 810.7
U0119 81 years, female, NA, stage:T3N0M0, alive, 3259 days 806.0
U0202 73 years, male, NA, stage:T3N0M0, dead, 2670 days 805.5
U1062 78 years, female, NA, stage:T4N0M0, alive, 1689 days 804.7
U0315 65 years, female, NA, stage:T2N0M0, alive, 1973 days 804.4
U1044 76 years, male, NA, stage:T4N0M0, alive, 3146 days 803.1
U0455 47 years, female, NA, stage:T3N2M0, alive, 2445 days 801.9
U0134 82 years, male, NA, stage:T3N0M0, alive, 2009 days 801.5
U0179 75 years, male, NA, stage:T3N1M0, dead, 1043 days 800.4
U0124 81 years, female, NA, stage:T1N0M0, alive, 2430 days 798.7
U0335 65 years, female, NA, stage:T3N1M0, alive, 2464 days 798.5
U1007 82 years, male, NA, stage:T3N0M0, alive, 1333 days 797.8
U1472 47 years, female, NA, stage:T3N1M0, alive, 1316 days 796.8
U0469 42 years, male, NA, stage:T3N0M0, dead, 409 days 794.3
U0441 50 years, female, NA, stage:T2N1M0, alive, 2738 days 793.1
U0938 86 years, female, NA, stage:T3N0M0, dead, 1231 days 792.5
U0313 70 years, male, NA, stage:T4N1M0, dead, 1142 days 792.4
U0285 69 years, female, NA, stage:T3N0M0, alive, 2165 days 792.0
U0970 86 years, female, NA, stage:T4N1M0, alive, 939 days 790.8
U1040 83 years, male, NA, stage:T2N0M0, alive, 1029 days 790.4
U0949 84 years, female, NA, stage:T3N0M1, dead, 594 days 789.2
U2971 62 years, male, NA, stage:T4aN0M0, alive, 629 days 785.9
U1013 82 years, female, NA, stage:T2N1M0, alive, 1439 days 785.7
U0196 75 years, male, NA, stage:T3N0M0, alive, 2086 days 785.3
U2964 84 years, male, NA, stage:T3N1M0, alive, 637 days 785.0
U0110 87 years, female, NA, stage:T3N1M1, dead, 878 days 783.2
U0280 68 years, male, NA, stage:T3N1M1, alive, 2731 days 780.7
U0101 84 years, male, NA, stage:T3N1M1, alive, 1878 days 780.1
U0348 69 years, female, NA, stage:T3N0M0, alive, 533 days 778.8
U0307 65 years, male, NA, stage:T3N0M0, alive, 2921 days 778.8
U0420 56 years, male, NA, stage:T4N1M1, alive, 417 days 776.5
U0445 51 years, female, NA, stage:T3N0M0, alive, 1851 days 775.1
U0066 93 years, male, NA, stage:T3N0M0, dead, 2486 days 775.0
U0347 68 years, female, NA, stage:T4N1M1, alive, 628 days 773.8
U1188 72 years, female, NA, stage:T3N0M0, dead, 967 days 772.3
U0934 87 years, female, NA, stage:T3N0M0, alive, 1185 days 771.7
U0397 62 years, male, NA, stage:T4N0M0, alive, 1663 days 770.6
U0069 94 years, female, NA, stage:T4N2M0, dead, 135 days 769.7
U2837 76 years, female, NA, stage:T4N1M0, alive, 681 days 769.7
U0355 67 years, male, NA, stage:T4N1M0, dead, 1038 days 768.0
U0929 85 years, male, NA, stage:T4N1M0, alive, 436 days 767.7
U0439 56 years, male, NA, stage:T3N1M0, alive, 1418 days 767.5
U0236 72 years, male, NA, stage:T3N1M0, alive, 1842 days 766.4
U1252 70 years, female, NA, stage:T4N2M0, alive, 1309 days 764.7
U1073 79 years, female, NA, stage:T3N1M0, alive, 1359 days 763.8
U1429 58 years, female, NA, stage:T3N0M0, alive, 1660 days 762.8
U0223 71 years, male, NA, stage:T4N1M0, alive, 1812 days 762.1
U3000 69 years, female, NA, stage:T3N0M0, alive, 584 days 761.7
U2956 86 years, female, NA, stage:T3N0M0, alive, 540 days 760.5
U1346 66 years, female, NA, stage:T3N0M0, alive, 1137 days 760.3
U0207 73 years, female, NA, stage:T3N0M0, dead, 2593 days 758.6
U0960 86 years, male, NA, stage:T3N0M0, alive, 1009 days 757.1
U0165 81 years, female, NA, stage:T2N0M0, alive, 1702 days 754.4
U0200 73 years, female, NA, stage:T3N0M0, alive, 2614 days 753.0
U0257 69 years, male, NA, stage:T3N1M0, dead, 2508 days 751.4
U0268 67 years, male, NA, stage:T3N0M0, alive, 2978 days 748.9
U0100 85 years, female, NA, stage:T3N0M0, dead, 1920 days 748.2
U1343 62 years, female, NA, stage:T4N2M0, alive, 3178 days 746.7
U0987 82 years, female, NA, stage:T3N0M0, alive, 2482 days 746.2
U1065 75 years, female, NA, stage:T3N2M0, alive, 2954 days 745.7
U3024 76 years, female, NA, stage:T3N0M0, alive, 463 days 745.2
U0281 72 years, male, NA, stage:T3N2M0, alive, 933 days 744.1
U0227 72 years, female, NA, stage:T4N2M0, alive, 291 days 741.0
U0463 49 years, male, NA, stage:T3N0M0, alive, 946 days 740.4
U1228 71 years, male, NA, stage:T3N0M0, alive, 1333 days 739.7
U0451 47 years, female, NA, stage:T4N2M0, alive, 3023 days 738.0
U0403 60 years, male, NA, stage:T3N1M1, dead, 1809 days 735.8
U3005 74 years, male, NA, stage:T3N0M0, alive, 478 days 735.7
U0460 43 years, female, NA, stage:T3N0M0, dead, 2069 days 733.4
U0253 74 years, female, NA, stage:T3N0M0, alive, 958 days 733.1
U0443 54 years, male, NA, stage:T3N0M0, alive, 1677 days 731.3
U0336 68 years, female, NA, stage:T3N0M0, alive, 1100 days 730.6
U2889 77 years, male, NA, stage:T4N0M0, alive, 623 days 729.8
U0289 66 years, female, NA, stage:T3N0M0, alive, 3511 days 729.3
U0373 64 years, female, NA, stage:T3N0M0, alive, 1822 days 727.9
U1037 80 years, male, NA, stage:T4N0M0, alive, 1658 days 727.6
U0239 76 years, male, NA, stage:T2N0M0, alive, 67 days 727.3
U0182 79 years, female, NA, stage:T4N1M0, dead, 260 days 726.8
U0063 95 years, male, NA, stage:T1N0M0, dead, 1779 days 725.9
U0984 84 years, female, NA, stage:T4N0M0, alive, 1287 days 723.8
U2803 66 years, male, NA, stage:T3N1M0, alive, 744 days 722.8
U1107 80 years, male, NA, stage:T3N0M0, alive, 329 days 721.2
U0378 66 years, female, NA, stage:T4N1M0, dead, 815 days 720.4
U1141 71 years, female, NA, stage:T4N1M1, dead, 596 days 720.2
U1321 65 years, male, NA, stage:T3N1M0, alive, 2578 days 720.0
U1031 80 years, male, NA, stage:T1N1M0, alive, 1625 days 718.2
U0361 63 years, male, NA, stage:T3N0M0, alive, 686 days 718.2
U0327 70 years, male, NA, stage:T4N0M0, alive, 833 days 713.2
U0193 76 years, male, NA, stage:T3N1M0, dead, 876 days 713.0
U0442 56 years, male, NA, stage:T3N0M0, alive, 619 days 712.2
U0075 88 years, male, NA, stage:T3N0M0, dead, 3 days 711.2
U0266 70 years, female, NA, stage:T3N1M0, dead, 2221 days 709.1
U0189 74 years, female, NA, stage:T3N0M0, dead, 1823 days 708.0
U0204 78 years, male, NA, stage:T3N0M0, dead, 770 days 706.7
U1486 39 years, female, NA, stage:T4N0M0, alive, 1606 days 706.5
U0338 68 years, female, NA, stage:T3N0M0, alive, 1016 days 704.3
U1047 75 years, female, NA, stage:T4N2M0, alive, 3592 days 703.1
U0474 30 years, male, NA, stage:T3N1M0, alive, 1017 days 701.0
U1162 73 years, male, NA, stage:T2N1M0, dead, 354 days 700.6
U0162 82 years, female, NA, stage:T3N0M0, alive, 1488 days 700.2
U2753 81 years, female, NA, stage:T2N0M0, alive, 813 days 700.0
U2935 70 years, male, NA, stage:T4N1M0, alive, 555 days 699.2
U0210 75 years, male, NA, stage:T3N0M0, dead, 1800 days 697.8
U0250 74 years, female, NA, stage:T4N0M0, dead, 906 days 697.5
U1095 76 years, female, NA, stage:T3N1M1, alive, 2425 days 696.5
U0068 92 years, female, NA, stage:T3N1M0, alive, 1991 days 695.7
U1292 69 years, female, NA, stage:T4N1M0, alive, 1147 days 691.2
U0287 69 years, female, NA, stage:T2N0M0, alive, 1897 days 688.6
U0473 33 years, male, NA, stage:T3N1M0, alive, 786 days 688.6
U1099 77 years, female, NA, stage:T3N0M0, alive, 2068 days 686.2
U0411 59 years, female, NA, stage:T3N1M0, alive, 1868 days 683.9
U1145 74 years, female, NA, stage:T3N0M0, dead, 445 days 680.1
U0176 76 years, male, NA, stage:T3N1M0, alive, 2600 days 680.1
U2981 74 years, male, NA, stage:T3N0M0, alive, 508 days 678.5
U0090 85 years, female, NA, stage:T3N0M0, dead, 1258 days 678.2
U0295 67 years, male, NA, stage:T3N0M0, dead, 2572 days 677.7
U1129 74 years, male, NA, stage:T3N0M0, dead, 118 days 674.1
U1347 65 years, female, NA, stage:T3N0M0, alive, 1401 days 673.1
U1220 70 years, male, NA, stage:T3N2M0, dead, 1953 days 671.4
U0113 88 years, male, NA, stage:T4N2M0, alive, 1102 days 671.3
U0428 60 years, male, NA, stage:T4N1M1, alive, 1016 days 671.2
U1257 71 years, male, NA, stage:T3N0M0, alive, 833 days 670.7
U0392 64 years, male, NA, stage:T3N2M0, alive, 489 days 670.0
U3100 89 years, male, NA, stage:T3N1M0, dead, 1608 days 668.3
U2780 75 years, male, NA, stage:T3N0M0, alive, 778 days 668.1
U0151 80 years, female, NA, stage:T3N0M0, alive, 2014 days 667.8
U1074 77 years, male, NA, stage:T3N0M0, dead, 1043 days 667.6
U0172 78 years, male, NA, stage:T4N0M0, dead, 678 days 666.9
U1069 77 years, female, NA, stage:T3N0M0, dead, 2187 days 666.6
U1103 76 years, female, NA, stage:T4N2M0, alive, 975 days 666.4
U1150 75 years, female, NA, stage:T3N0M0, alive, 15 days 663.1
U0444 52 years, female, NA, stage:T4N1M0, alive, 1841 days 662.9
U2754 81 years, male, NA, stage:T4N0M0, alive, 809 days 660.8
U0438 53 years, female, NA, stage:T3N0M0, alive, 2009 days 659.2
U0115 84 years, female, NA, stage:T3N0M0, dead, 1738 days 659.1
U1240 70 years, male, NA, stage:T4N0M0, alive, 765 days 658.4
U1067 79 years, male, NA, stage:T3N0M0, alive, 1570 days 658.3
U3051 48 years, male, NA, stage:T3N2M0, alive, 415 days 657.0
U0267 73 years, male, NA, stage:T4N0M0, dead, 445 days 656.3
U1184 70 years, male, NA, stage:T4N1M0, alive, 290 days 653.4
U0340 69 years, female, NA, stage:T4N2M1, dead, 438 days 652.1
U0099 85 years, female, NA, stage:T3N0M0, dead, 986 days 651.1
U0384 64 years, male, NA, stage:T2N1M1, alive, 1024 days 648.9
U0472 32 years, male, NA, stage:TXN2M0, alive, 542 days 648.2
U2882 65 years, female, NA, stage:T3N1M0, alive, 637 days 647.7
U1303 66 years, male, NA, stage:T4N1M0, alive, 2283 days 647.6
U0229 70 years, female, NA, stage:TXN2M1, dead, 2115 days 646.8
U0375 66 years, male, NA, stage:T3N0M0, dead, 666 days 645.4
U0955 83 years, female, NA, stage:T3N0M0, alive, 2170 days 643.6
U0274 70 years, male, NA, stage:T3N0M0, dead, 1570 days 640.8
U0246 74 years, female, NA, stage:T4N0M0, dead, 1192 days 640.7
U0235 75 years, female, NA, stage:T3N0M0, alive, 1327 days 640.2
U0247 70 years, female, NA, stage:T3N1M0, alive, 2538 days 639.9
U2979 73 years, male, NA, stage:T3N2M0, alive, 616 days 639.7
U1235 71 years, female, NA, stage:T2N0M0, alive, 1319 days 639.7
U2948 74 years, female, NA, stage:T3N1M0, alive, 543 days 637.9
U0133 85 years, female, NA, stage:T3N0M0, alive, 773 days 636.0
U0333 66 years, female, NA, stage:T3N2M0, dead, 1959 days 635.1
U0107 82 years, male, NA, stage:T3N0M0, dead, 2354 days 634.1
U1041 81 years, male, NA, stage:T2N0M0, alive, 1108 days 632.4
U3043 68 years, female, NA, stage:T3N2M0, alive, 287 days 630.9
U0369 66 years, female, NA, stage:T3N0M0, dead, 1095 days 624.4
U2856 71 years, female, NA, stage:T4N1M1, alive, 660 days 622.9
U0319 65 years, male, NA, stage:T3N0M0, alive, 2801 days 621.0
U0915 88 years, female, NA, stage:T3N0M0, alive, 1613 days 619.3
U0158 76 years, male, NA, stage:T1N0M0, dead, 3101 days 617.3
U1045 80 years, female, NA, stage:T4N2M0, alive, 1239 days 617.0
U0269 69 years, female, NA, stage:T3N0M0, alive, 2530 days 615.6
U0141 81 years, male, NA, stage:T3N2M0, alive, 2079 days 615.2
U0270 70 years, female, NA, stage:T1N0M0, alive, 2187 days 615.0
U2891 81 years, male, NA, stage:T3N1M0, alive, 619 days 610.9
U0109 82 years, female, NA, stage:T4N2M1, alive, 144 days 609.3
U0882 93 years, male, NA, stage:T3N0M0, alive, 1675 days 608.2
U0092 84 years, male, NA, stage:T3N0M0, alive, 2779 days 606.1
U1120 76 years, male, NA, stage:T4N1M1, alive, 823 days 605.3
U0094 89 years, female, NA, stage:T3N2M0, alive, 741 days 605.3
U0125 86 years, female, NA, stage:T1N0M0, dead, 668 days 603.2
U0308 72 years, male, NA, stage:T4N1M0, alive, 1075 days 601.4
U0146 79 years, female, NA, stage:T3N2M0, dead, 733 days 600.2
U0465 43 years, male, NA, stage:T3N0M0, alive, 2383 days 599.5
U0082 85 years, female, NA, stage:T3N1M0, dead, 2339 days 598.3
U0070 89 years, male, NA, stage:T1N0M0, dead, 1319 days 596.0
U0084 86 years, male, NA, stage:T3N0M0, dead, 1662 days 594.7
U1114 76 years, female, NA, stage:TXNXM1, dead, 473 days 591.3
U2774 66 years, female, NA, stage:T3N0M0, alive, 783 days 591.1
U1327 66 years, female, NA, stage:T3N0M0, alive, 1613 days 590.7
U0102 87 years, female, NA, stage:T4N2M0, dead, 670 days 590.0
U3025 68 years, male, NA, stage:T4N2M1, alive, 377 days 588.4
U1436 56 years, female, NA, stage:T3N0M0, alive, 1745 days 587.9
U0362 66 years, male, NA, stage:T3N0M0, alive, 1148 days 587.3
U0436 59 years, male, NA, stage:T4N1M1, alive, 960 days 587.1
U0916 88 years, female, NA, stage:T3N0M0, alive, 1578 days 584.6
U0332 66 years, female, NA, stage:T3N0M0, alive, 2101 days 584.1
U1034 80 years, male, NA, stage:T4N0M0, alive, 1575 days 583.9
U0370 67 years, female, NA, stage:T3N0M0, alive, 1047 days 583.8
U0209 74 years, male, NA, stage:T3N1M0, alive, 2109 days 580.9
U0401 60 years, male, NA, stage:T4N1M0, alive, 1715 days 576.8
U1046 78 years, female, NA, stage:T4N2M1, dead, 697 days 575.3
U1059 77 years, male, NA, stage:T3N1M0, alive, 2790 days 574.1
U0178 76 years, female, NA, stage:T3N1M0, dead, 2096 days 573.9
U0095 86 years, male, NA, stage:T4N1M0, dead, 1034 days 572.3
U0590 75 years, female, NA, stage:T3N0M0, alive, 661 days 572.2
U1473 46 years, female, NA, stage:T3N0M0, alive, 1553 days 566.7
U0078 91 years, female, NA, stage:T3N0M0, alive, 1183 days 566.6
U0218 77 years, female, NA, stage:T3N0M0, alive, 714 days 565.5
U2842 60 years, female, NA, stage:T4N2M0, alive, 675 days 560.7
U1212 74 years, female, NA, stage:T2N0M0, alive, 69 days 557.7
U0259 68 years, female, NA, stage:T4N2M0, alive, 76 days 556.9
U1111 76 years, female, NA, stage:T3N0M0, dead, 1631 days 554.1
U1072 80 years, male, NA, stage:T1N0M0, alive, 1446 days 554.0
U1147 73 years, male, NA, stage:T3N0M0, dead, 282 days 552.6
U0357 64 years, female, NA, stage:T3N0M0, alive, 2285 days 550.9
U0456 46 years, male, NA, stage:T4N0M0, dead, 2222 days 550.7
U0450 52 years, female, NA, stage:T3N1M0, alive, 763 days 549.7
U0381 60 years, male, NA, stage:T3N1M0, dead, 71 days 545.4
U0421 60 years, male, NA, stage:T3N1M0, alive, 674 days 537.5
U0103 88 years, female, NA, stage:T3N1M0, alive, 1197 days 536.0
U3122 85 years, female, NA, stage:T3N0M1, dead, 91 days 535.6
U0377 59 years, female, NA, stage:T3N2M0, alive, 3720 days 533.2
U2896 81 years, female, NA, stage:T3N1M0, alive, 609 days 533.1
U0073 87 years, male, NA, stage:T4N0MX, dead, 318 days 533.0
U0297 67 years, female, NA, stage:T3N2M0, alive, 1196 days 532.8
U0367 61 years, female, NA, stage:T3N1M0, alive, 3075 days 531.3
U0435 52 years, female, NA, stage:T2N0M0, alive, 3616 days 531.0
U0309 68 years, female, NA, stage:T3N0M0, dead, 1898 days 529.8
U1401 60 years, female, NA, stage:T3N0M0, alive, 1482 days 529.2
U0360 67 years, female, NA, stage:T3N0M0, dead, 1016 days 529.1
U0249 75 years, female, NA, stage:T4N2M0, dead, 874 days 525.4
U0169 82 years, male, NA, stage:T4N2M0, alive, 616 days 524.3
U0214 72 years, male, NA, stage:T4N1M1, alive, 788 days 522.4
U0345 65 years, female, NA, stage:T3N0M0, alive, 2127 days 521.7
U1386 62 years, male, NA, stage:T3N1M0, alive, 1518 days 521.5
U0123 83 years, male, NA, stage:T3N0M0, dead, 1880 days 521.0
U0449 50 years, female, NA, stage:T3N0M0, alive, 1851 days 518.6
U0462 45 years, female, NA, stage:T4N1M0, alive, 1017 days 517.5
U1127 71 years, female, NA, stage:T3N0M0, alive, 3465 days 515.7
U0131 81 years, female, NA, stage:T4N2M1, alive, 238 days 512.5
U1446 53 years, female, NA, stage:T3N0M0, alive, 2314 days 512.3
U1276 66 years, male, NA, stage:T3N0M0, alive, 2474 days 509.8
U0993 83 years, male, NA, stage:T4N2M0, alive, 1267 days 509.0
U0187 77 years, male, NA, stage:T3N2M0, alive, 1632 days 506.5
U1317 68 years, male, NA, stage:T4N1M0, alive, 965 days 502.3
U0398 63 years, female, NA, stage:T3N0M0, alive, 721 days 500.8
U0942 88 years, male, NA, stage:T3N0M0, alive, 665 days 500.1
U0424 56 years, male, NA, stage:T3N0M0, alive, 2192 days 494.2
U0175 77 years, male, NA, stage:T3N2M0, alive, 1875 days 492.3
U0089 85 years, female, NA, stage:T1NXM0, dead, 2365 days 489.8
U1102 77 years, male, NA, stage:T2N0M0, alive, 1354 days 489.3
U0349 63 years, male, NA, stage:T3N1M0, alive, 2682 days 484.0
U0385 65 years, male, NA, stage:T3N0M0, alive, 902 days 478.9
U1086 73 years, female, NA, stage:T1N0M0, alive, 2907 days 476.6
U0321 70 years, female, NA, stage:T3N0M0, alive, 1029 days 474.7
U0396 59 years, male, NA, stage:T4N2M0, alive, 2243 days 469.4
U0318 71 years, male, NA, stage:T3N0M0, alive, 762 days 468.2
U1075 78 years, female, NA, stage:T3N0M0, alive, 1290 days 465.3
U0233 71 years, female, NA, stage:T3N1M0, alive, 975 days 455.6
U0365 68 years, female, NA, stage:T4N1M0, dead, 313 days 454.5
U0453 46 years, male, NA, stage:T3N0M0, alive, 2859 days 452.2
U0129 82 years, male, NA, stage:T4N0M0, dead, 1265 days 445.8
U0153 80 years, female, NA, stage:T3N0M0, dead, 1718 days 444.1
U1267 65 years, male, NA, stage:T3N1M0, dead, 2869 days 443.9
U1250 70 years, male, NA, stage:T2N0M0, alive, 597 days 441.2
U1213 73 years, female, NA, stage:T2N0M0, alive, 560 days 438.3
U0386 60 years, female, NA, stage:T4N1M1, alive, 2592 days 426.1
U1183 73 years, male, NA, stage:T4N2M0, alive, 959 days 413.6
U0221 77 years, male, NA, stage:T3N0M0, alive, 569 days 403.7
U1071 78 years, female, NA, stage:T4N0M1, alive, 1514 days 402.1
U0143 80 years, male, NA, stage:T3N2M0, alive, 2313 days 390.8
U1374 66 years, male, NA, stage:T4N0M0, alive, 827 days 365.4
U0156 82 years, female, NA, stage:T4N1M0, alive, 1573 days 350.0
U0208 76 years, female, NA, stage:T3N1M0, dead, 1233 days 312.2
U0248 72 years, male, NA, stage:T3N0M0, alive, 1870 days 302.7
U1384 62 years, male, NA, stage:T4N1M0, alive, 1319 days 290.2
U0002 82 years, female, NA, stage:T3N2M0, alive, 3691 days 288.4
U0074 89 years, female, NA, stage:T3N0M0, dead, 1438 days 53.4
Show allShow less
RECTUM ADENOCARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

RPL7A is not prognostic in Rectum Adenocarcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 1254.89
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 1754.9
Number of samples 88
Samples
Sample Description pTPM
TCGA-DC-4745-01A 49 years, female, white, stage:Stage IIIB, alive, 639 days 3819.2
TCGA-EI-6883-01A 63 years, male, white, stage:Stage IIC, alive, 350 days 3751.4
TCGA-EI-7004-01A 37 years, female, white, stage:'--, alive, 257 days 3721.6
TCGA-F5-6861-01A 60 years, female, white, stage:Stage IIA, alive, 1160 days 3103.8
TCGA-AG-3902-01A 61 years, male, stage:Stage IIA, alive, 974 days 2966.5
TCGA-EI-7002-01A 58 years, male, white, stage:Stage IV, alive, 364 days 2734.7
TCGA-G5-6233-01A 74 years, male, white, stage:'--, dead, 556 days 2604.8
TCGA-AG-3591-01A 66 years, female, stage:Stage IIA, alive, 1035 days 2533.5
TCGA-AG-3742-01A 85 years, female, stage:Stage I, alive, 30 days 2487.6
TCGA-EI-6884-01A 71 years, male, white, stage:Stage IIIA, alive, 328 days 2378.6
TCGA-EI-6917-01A 33 years, male, white, stage:Stage IIIA, alive, 531 days 2369.8
TCGA-EI-6507-01A 60 years, male, white, stage:Stage IIA, alive, 607 days 2326.5
TCGA-DY-A0XA-01A 57 years, female, white, stage:Stage IIA, alive, 3846 days 2277.8
TCGA-F5-6813-01A 70 years, male, white, stage:Stage IIIC, dead, 598 days 2268.5
TCGA-AF-4110-01A 77 years, male, white, stage:Stage IVA, alive, 912 days 2222.6
TCGA-EI-6509-01A 53 years, male, white, stage:Stage IIIC, alive, 517 days 2217.7
TCGA-F5-6863-01A 71 years, female, white, stage:Stage IIIB, dead, 361 days 2213.5
TCGA-F5-6864-01A 74 years, female, white, stage:Stage IIIB, alive, 379 days 2178.0
TCGA-AH-6644-01A 73 years, male, white, stage:'--, alive, 838 days 2123.3
TCGA-AH-6643-01A 50 years, male, white, stage:Stage IIIC, dead, 1314 days 2050.2
TCGA-AF-6655-01A 66 years, male, white, stage:Stage IIIA, alive, 609 days 2032.4
TCGA-DC-5337-01A 69 years, male, white, stage:Stage I, alive, 792 days 2019.4
TCGA-DY-A1H8-01A 77 years, female, white, stage:Stage IIIA, dead, 992 days 2011.4
TCGA-EF-5830-01A 54 years, male, white, stage:Stage IIB, alive, 106 days 1990.4
TCGA-F5-6814-01A 57 years, male, white, stage:Stage IIA, alive, 1131 days 1981.8
TCGA-DC-6682-01A 57 years, male, white, stage:Stage IIA, alive, 762 days 1966.8
TCGA-DC-6681-01A 70 years, female, white, stage:Stage IVA, alive, 790 days 1951.3
TCGA-AF-5654-01A 73 years, female, white, stage:Stage I, dead, 512 days 1932.4
TCGA-AF-6136-01A 72 years, female, white, stage:Stage IIIB, alive, 741 days 1889.6
TCGA-DC-5869-01A 62 years, female, black or african american, stage:Stage IIIB, alive, 943 days 1883.0
TCGA-AH-6903-01A 46 years, male, white, stage:Stage IIIB, alive, 592 days 1878.6
TCGA-DC-6157-01A 48 years, male, black or african american, stage:Stage I, alive, 1581 days 1865.5
TCGA-DY-A1DD-01A 77 years, female, white, stage:Stage IIIB, dead, 1741 days 1855.3
TCGA-F5-6571-01A 62 years, female, white, stage:Stage IIA, alive, 1288 days 1815.1
TCGA-CI-6622-01A 74 years, male, white, stage:Stage IIB, alive, 1362 days 1803.3
TCGA-DC-6154-01A 57 years, female, white, stage:Stage IVA, alive, 365 days 1791.5
TCGA-EI-6885-01A 57 years, female, white, stage:Stage IV, alive, 415 days 1787.5
TCGA-G5-6572-01A 56 years, male, white, stage:'--, dead, 1432 days 1769.1
TCGA-AF-2693-01A 75 years, male, white, stage:Stage I, alive, 1155 days 1761.3
TCGA-DY-A1DE-01A 56 years, female, white, stage:Stage IIA, alive, 3932 days 1734.7
TCGA-EI-6881-01A 60 years, male, white, stage:Stage IIIA, alive, 499 days 1720.7
TCGA-AH-6897-01A 48 years, male, white, stage:Stage I, alive, 804 days 1716.6
TCGA-CI-6620-01A 41 years, female, white, stage:Stage IVA, alive, 1009 days 1704.7
TCGA-AG-4022-01A 59 years, female, stage:Stage II, alive, 1400 days 1692.5
TCGA-DY-A1DG-01A 75 years, male, white, stage:Stage IVA, dead, 1566 days 1691.7
TCGA-DT-5265-01A 51 years, male, asian, stage:Stage II, alive, 384 days 1688.1
TCGA-AF-3911-01A 48 years, male, white, stage:Stage IIIC, alive, 1148 days 1684.2
TCGA-AF-6672-01A 43 years, male, white, stage:Stage IV, alive, 748 days 1640.1
TCGA-AG-4021-01A 84 years, female, stage:Stage IV, dead, 121 days 1619.7
TCGA-EI-6513-01A 59 years, male, white, stage:Stage IIIB, alive, 497 days 1607.3
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:Stage IIA, alive, 360 days 1599.7
TCGA-EF-5831-01A 72 years, male, white, stage:Stage IIA, alive, 127 days 1596.7
TCGA-AH-6544-01A 60 years, male, white, stage:'--, alive, 1173 days 1588.3
TCGA-EI-6512-01A 64 years, female, white, stage:Stage IIIB, alive, 538 days 1554.1
TCGA-DY-A1DC-01A 72 years, female, white, stage:Stage IIA, dead, 1258 days 1524.5
TCGA-BM-6198-01A 73 years, male, white, stage:Stage IIIB, alive, 646 days 1453.4
TCGA-DC-6683-01A 43 years, male, white, stage:Stage IIIB, alive, 762 days 1453.2
TCGA-G5-6641-01A 67 years, male, white, stage:Stage IIIA, alive, 804 days 1442.5
TCGA-EI-6510-01A 77 years, female, white, stage:'--, alive, 556 days 1404.7
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days 1389.7
TCGA-AG-3592-01A 68 years, male, stage:Stage IIA, alive, 1035 days 1381.6
TCGA-EI-6506-01A 78 years, female, white, stage:Stage IIA, alive, 625 days 1365.2
TCGA-F5-6464-01A 77 years, female, white, stage:Stage IIIC, dead, 303 days 1305.0
TCGA-CL-5917-01A 71 years, female, white, stage:Stage IIIC, alive, 2376 days 1303.2
TCGA-CI-6621-01A 63 years, male, white, stage:Stage IIIB, alive, 419 days 1285.2
TCGA-F5-6811-01A 72 years, female, white, stage:Stage IIA, alive, 979 days 1276.6
TCGA-G5-6235-01A 72 years, male, white, stage:Stage IIIB, alive, 1696 days 1275.4
TCGA-DC-6160-01A 68 years, male, white, stage:Stage I, alive, 1339 days 1270.9
TCGA-AH-6549-01A 66 years, male, white, stage:'--, alive, 532 days 1267.3
TCGA-AG-3732-01A 78 years, female, stage:Stage I, alive, 1003 days 1254.9
TCGA-DY-A1DF-01A 73 years, female, white, stage:Stage IIIC, dead, 734 days 1241.0
TCGA-AF-2687-01A 57 years, male, white, stage:Stage IIIC, alive, 1427 days 1241.0
TCGA-EI-6508-01A 48 years, female, white, stage:Stage IIIB, alive, 636 days 1235.5
TCGA-F5-6465-01A 64 years, female, white, stage:Stage IIA, alive, 1506 days 1199.6
TCGA-AG-3731-01A 65 years, male, stage:Stage IV, alive, 1126 days 1195.2
TCGA-EI-6511-01A 52 years, male, white, stage:Stage IIIB, alive, 482 days 1177.3
TCGA-EI-6882-01A 59 years, male, white, stage:Stage IIA, alive, 262 days 1174.1
TCGA-DC-6156-01A 62 years, male, white, stage:Stage IVA, alive, 943 days 1174.1
TCGA-DC-6155-01A 31 years, female, white, stage:Stage IIIA, alive, 425 days 1167.5
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:Stage IIA, alive, 2635 days 1160.6
TCGA-CL-4957-01A 79 years, female, stage:'--, dead, 425 days 1117.1
TCGA-AF-2690-01A 76 years, female, white, stage:Stage IIIC, dead, 524 days 1104.7
TCGA-F5-6812-01A 67 years, male, white, stage:Stage IIA, alive, 1110 days 1087.2
TCGA-DC-6158-01A 70 years, male, white, stage:Stage I, dead, 334 days 938.9
TCGA-F5-6702-01A 71 years, male, white, stage:Stage IVA, dead, 869 days 920.2
TCGA-DC-4749-01A 57 years, male, white, stage:Stage I, alive, 762 days 897.6
TCGA-AH-6547-01A 79 years, female, white, stage:'--, dead, 76 days 799.5
TCGA-EI-6514-01A 59 years, female, white, stage:Stage IIA, alive, 496 days 778.5
Show allShow less
RECTUM ADENOCARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

RPL7A is not prognostic in Rectum Adenocarcinoma (validation)


Stage:




Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 595.04
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 660.4
Number of samples 207
Samples
Sample Description pTPM
U3049 72 years, male, NA, stage:T2N0M0, alive, 533 days 1824.6
U0077 86 years, female, NA, stage:T2N0M0, dead, 588 days 1649.9
U0802 70 years, male, NA, stage:T3N2M1, dead, 338 days 1292.0
U2955 50 years, male, NA, stage:T3N1M0, alive, 181 days 1272.0
U0430 55 years, male, NA, stage:T3N2M0, dead, 2472 days 1259.7
U3023 63 years, female, NA, stage:T2N0M0, alive, 404 days 1222.2
U0030 82 years, female, NA, stage:T2N0M0, dead, 987 days 1201.5
U0422 56 years, female, NA, stage:T3N2M1, dead, 1710 days 1193.2
U0213 71 years, male, NA, stage:T3N1M0, alive, 3018 days 1157.1
U0359 64 years, male, NA, stage:T3N2M0, dead, 2443 days 1149.0
U0695 85 years, male, NA, stage:T3N0M0, alive, 566 days 1139.5
U0650 57 years, female, NA, stage:T2N2M0, alive, 1331 days 1130.6
U0255 68 years, female, NA, stage:T3N2M0, dead, 1079 days 1118.5
U0080 86 years, female, NA, stage:T3N0M0, dead, 489 days 1112.0
U0374 65 years, female, NA, stage:T2N0M0, alive, 1067 days 1092.2
U0638 52 years, male, NA, stage:T2N0M0, alive, 1801 days 1082.2
U0578 42 years, male, NA, stage:T2N2M0, alive, 1724 days 1014.4
U0114 84 years, male, NA, stage:T3N0M0, alive, 1910 days 1013.9
U2972 91 years, male, NA, stage:T3N0M0, alive, 161 days 1009.8
U0643 58 years, female, NA, stage:T2N1M0, dead, 1583 days 989.4
U0605 74 years, male, NA, stage:T2N0M0, alive, 952 days 980.0
U0147 78 years, female, NA, stage:T3N0M0, dead, 2085 days 966.5
U0120 80 years, female, NA, stage:T3N0M0, alive, 3233 days 963.5
U0237 71 years, male, NA, stage:T3N1M0, alive, 2492 days 958.6
U0657 46 years, female, NA, stage:T2N0M0, dead, 1109 days 931.9
U0658 75 years, male, NA, stage:T3N2M0, alive, 1108 days 901.2
U2943 79 years, male, NA, stage:T3N0M0, alive, 189 days 893.8
U0220 76 years, male, NA, stage:T2N0M0, alive, 1066 days 867.2
U0431 59 years, female, NA, stage:T3N1M0, alive, 695 days 864.8
U0334 64 years, male, NA, stage:T3N1M0, alive, 3171 days 851.3
U0391 64 years, female, NA, stage:T3N0M0, alive, 1179 days 846.7
U0654 72 years, male, NA, stage:T3N2M0, alive, 1220 days 833.5
U0492 63 years, male, NA, stage:T3N2M0, alive, 1114 days 831.5
U0230 70 years, female, NA, stage:T1N1M0, alive, 3152 days 830.0
U0637 56 years, male, NA, stage:T3N1M0, alive, 1997 days 829.1
U0750 64 years, female, NA, stage:T3N2M0, dead, 1393 days 828.6
U0562 58 years, female, NA, stage:T3N1M0, alive, 3092 days 828.1
U0539 66 years, male, NA, stage:T4N2M0, alive, 2017 days 826.4
U0793 80 years, male, NA, stage:T3N1M1, dead, 195 days 822.8
U0502 65 years, male, NA, stage:T4N1M0, alive, 1065 days 814.0
U0466 40 years, male, NA, stage:T3N0M0, alive, 1381 days 809.7
U0651 70 years, male, NA, stage:T3N0M0, alive, 1354 days 803.6
U0296 67 years, male, NA, stage:T3N0M0, alive, 2610 days 796.8
U2836 87 years, male, NA, stage:T3N0M0, alive, 322 days 794.9
U0216 72 years, male, NA, stage:T2N0M0, alive, 2684 days 790.8
U2761 74 years, female, NA, stage:T3N1M0, alive, 447 days 789.7
U0641 61 years, female, NA, stage:T3N0M0, dead, 1626 days 787.2
U0415 56 years, male, NA, stage:T3N1M0, alive, 2526 days 786.0
U0514 52 years, female, NA, stage:T2N2M0, alive, 2799 days 785.8
U0852 36 years, male, NA, stage:T3N2M1, alive, 1651 days 783.9
U0118 81 years, female, NA, stage:T3N2M0, dead, 350 days 779.5
U0299 71 years, female, NA, stage:T4N2M0, alive, 43426 days 777.2
U0282 70 years, male, NA, stage:T3N2M0, dead, 1869 days 769.6
U0305 66 years, male, NA, stage:T3N1M0, alive, 2676 days 764.1
U0805 65 years, male, NA, stage:T3N1M1, dead, 731 days 764.0
U2764 65 years, male, NA, stage:T3N2M0, alive, 440 days 761.9
U0132 82 years, male, NA, stage:T3N1M0, alive, 1798 days 759.0
U2994 70 years, female, NA, stage:T4N1M0, alive, 132 days 754.2
U2960 52 years, male, NA, stage:T3N1M0, alive, 176 days 750.6
U0820 74 years, male, NA, stage:T3NXM1, dead, 622 days 750.2
U0343 69 years, female, NA, stage:T2N0M0, alive, 701 days 741.8
U2779 74 years, male, NA, stage:T3N0M0, alive, 419 days 737.4
U0814 80 years, female, NA, stage:T3N1M1, dead, 482 days 736.5
U0603 73 years, male, NA, stage:T2N1M0, alive, 1904 days 735.7
U0276 73 years, male, NA, stage:T3N1M1, alive, 934 days 735.2
U0648 65 years, female, NA, stage:T3N0M0, alive, 1415 days 734.9
U0640 64 years, male, NA, stage:T2N0M0, alive, 1696 days 729.3
U0776 62 years, male, NA, stage:T4N2M0, alive, 1702 days 726.1
U2991 77 years, female, NA, stage:T1N0M0, alive, 135 days 722.4
U0663 78 years, female, NA, stage:T3N1M0, alive, 762 days 717.3
U0173 77 years, male, NA, stage:T2N0M0, dead, 2375 days 715.4
U0232 71 years, female, NA, stage:T2N0M0, dead, 994 days 708.0
U0294 73 years, male, NA, stage:T4N0M1, alive, 561 days 707.0
U0331 64 years, male, NA, stage:T3N1M1, dead, 906 days 704.7
U0311 70 years, female, NA, stage:T3N1M0, alive, 1176 days 703.5
U0645 60 years, male, NA, stage:T3N0M0, alive, 1567 days 689.3
U0512 65 years, male, NA, stage:T3N0M0, alive, 2550 days 685.9
U0591 81 years, male, NA, stage:T2N0M0, alive, 1023 days 684.6
U2834 70 years, male, NA, stage:T3N1M0, alive, 323 days 683.8
U0258 73 years, male, NA, stage:T4N1M2, dead, 195 days 682.2
U0304 68 years, male, NA, stage:T3N2M0, alive, 2065 days 681.5
U0351 63 years, female, NA, stage:T3N2M0, alive, 2886 days 670.4
U0532 72 years, male, NA, stage:T3N0M0, dead, 730 days 669.8
U0498 72 years, female, NA, stage:T4N1M0, alive, 1906 days 666.9
U0656 68 years, male, NA, stage:T3N2M0, alive, 1150 days 659.2
U0096 88 years, female, NA, stage:T4N2M1, dead, 257 days 658.8
U0174 81 years, male, NA, stage:T3N0M0, alive, 450 days 657.9
U0366 67 years, male, NA, stage:T3NXM1, alive, 895 days 654.1
U0652 76 years, male, NA, stage:T3N0M0, alive, 1319 days 653.1
U0407 59 years, male, NA, stage:T3N1M0, dead, 2027 days 650.5
U0595 71 years, male, NA, stage:T2N0M0, alive, 2535 days 650.3
U0228 76 years, male, NA, stage:T2N0M0, alive, 963 days 648.8
U0364 67 years, female, NA, stage:T4N2M1, dead, 151 days 648.8
U0322 67 years, male, NA, stage:T4N2M0, alive, 1694 days 646.1
U0205 72 years, female, NA, stage:T3N2M0, alive, 2984 days 643.3
U0538 73 years, female, NA, stage:T3N1M0, alive, 1308 days 641.8
U0458 49 years, male, NA, stage:T3N2M0, alive, 1073 days 640.6
U3047 70 years, male, NA, stage:T3N2M0, alive, 205 days 640.4
U0353 62 years, female, NA, stage:T1N0M0, alive, 2912 days 638.3
U0470 39 years, female, NA, stage:T2N2M0, alive, 961 days 637.2
U0558 63 years, female, NA, stage:T3N2M0, alive, 2011 days 634.7
U0485 74 years, male, NA, stage:T3N0M0, dead, 2737 days 630.1
U0604 67 years, male, NA, stage:T3N1M0, alive, 1522 days 629.9
U0243 69 years, female, NA, stage:T3N2M0, alive, 2975 days 629.5
U0405 63 years, male, NA, stage:T3N1M0, alive, 829 days 623.9
U0593 74 years, male, NA, stage:T4bN0M0, alive, 876 days 623.0
U0686 77 years, female, NA, stage:T4bN0M0, dead, 123 days 616.4
U0371 62 years, female, NA, stage:T3N0M0, alive, 2688 days 610.7
U0406 58 years, female, NA, stage:T4N2M1, dead, 778 days 610.2
U0555 60 years, male, NA, stage:T3N2M0, alive, 2043 days 607.7
U0568 59 years, male, NA, stage:T4N1M0, alive, 1287 days 607.6
U0293 67 years, male, NA, stage:T3N1M0, alive, 2717 days 607.4
U0553 68 years, female, NA, stage:T3N2M0, alive, 1704 days 604.7
U0849 81 years, female, NA, stage:T4N0M1, dead, 267 days 603.7
U0508 70 years, male, NA, stage:T3N1M0, alive, 1120 days 598.9
U0535 54 years, female, NA, stage:T4N1M0, alive, 2473 days 598.7
U0194 79 years, male, NA, stage:T3N1M0, alive, 680 days 598.5
U0647 85 years, female, NA, stage:T3N0M0, alive, 1476 days 596.8
U0579 65 years, female, NA, stage:T4aN0M0, alive, 2845 days 596.6
U0857 76 years, male, NA, stage:T4N2M1, dead, 954 days 593.5
U0642 87 years, male, NA, stage:T3N0M0, alive, 1603 days 593.5
U0861 62 years, female, NA, stage:T4N2M1, dead, 184 days 589.8
U0694 85 years, male, NA, stage:T4N0M0, dead, 489 days 584.5
U0484 55 years, male, NA, stage:T4N2M0, alive, 1275 days 579.6
U0434 54 years, male, NA, stage:T2N0M0, alive, 2558 days 578.6
U0418 60 years, male, NA, stage:T4N1M0, alive, 1246 days 578.1
U0238 73 years, male, NA, stage:T3N0M0, dead, 868 days 577.0
U0468 38 years, female, NA, stage:T3N0M0, alive, 1921 days 576.2
U0159 79 years, female, NA, stage:T3N1M0, alive, 1517 days 575.0
U0116 85 years, male, NA, stage:T3N1M0, dead, 930 days 574.4
U0457 50 years, male, NA, stage:T3N0M0, alive, 833 days 574.3
U0454 46 years, male, NA, stage:T3N1M0, alive, 2997 days 573.0
U0545 62 years, male, NA, stage:T3N0M0, alive, 2340 days 570.6
U0242 69 years, male, NA, stage:T3N0M0, alive, 2950 days 566.3
U0519 69 years, male, NA, stage:T4N2M0, dead, 519 days 566.2
U0284 73 years, male, NA, stage:T3N2M0, alive, 581 days 564.0
U0803 68 years, female, NA, stage:T3N1M1, dead, 495 days 563.8
U0581 66 years, female, NA, stage:T3N2M0, alive, 1660 days 563.7
U0671 93 years, male, NA, stage:T3N1M0, dead, 785 days 562.3
U0325 67 years, male, NA, stage:T3N0M0, dead, 1947 days 546.3
U0865 72 years, female, NA, stage:T3N1M1, dead, 856 days 543.4
U0251 71 years, male, NA, stage:T2N0M0, alive, 1906 days 538.8
U0079 86 years, male, NA, stage:T4N2M0, dead, 1891 days 537.4
U0565 84 years, male, NA, stage:T4N1M0, alive, 1452 days 536.4
U0339 64 years, male, NA, stage:T3N2M0, alive, 2155 days 529.7
U0557 51 years, female, NA, stage:T3N2M0, alive, 2009 days 522.3
U0402 58 years, female, NA, stage:T3N1M0, dead, 2487 days 520.8
U0602 79 years, male, NA, stage:T2N0M0, alive, 1385 days 518.3
U0600 72 years, male, NA, stage:T3N1M0, alive, 1659 days 517.3
U0155 77 years, male, NA, stage:T2N0M0, dead, 1672 days 514.7
U0552 67 years, male, NA, stage:T3N2M0, alive, 1701 days 511.9
U0137 80 years, male, NA, stage:T3N1M0, dead, 1799 days 510.8
U0494 73 years, male, NA, stage:T4N2M0, alive, 1290 days 504.3
U0264 69 years, male, NA, stage:T4N2M0, alive, 2020 days 500.6
U0511 92 years, female, NA, stage:T3N0M0, dead, 2387 days 499.9
U0128 86 years, female, NA, stage:T3N1M0, alive, 449 days 499.1
U0848 86 years, male, NA, stage:T3N1M1, dead, 1185 days 495.5
U0649 67 years, male, NA, stage:T2N0M0, alive, 1424 days 495.2
U0097 83 years, male, NA, stage:T3N0M1, dead, 2903 days 487.6
U0561 68 years, female, NA, stage:T3N2M0, alive, 1577 days 487.2
U0577 59 years, female, NA, stage:T3N2M0, alive, 2474 days 483.8
U0594 71 years, male, NA, stage:T3N0M0, alive, 2852 days 482.1
U0329 70 years, male, NA, stage:T3N1M0, dead, 805 days 477.7
U0279 74 years, male, NA, stage:T2N1M0, dead, 176 days 477.2
U0388 61 years, male, NA, stage:T2N1M0, alive, 2186 days 468.4
U0192 76 years, male, NA, stage:T3N0M0, alive, 2081 days 466.8
U0601 75 years, female, NA, stage:T4N1M0, alive, 1368 days 464.0
U0809 85 years, female, NA, stage:T3N1M1, dead, 275 days 463.3
U0140 80 years, male, NA, stage:T3N2M0, alive, 2655 days 460.2
U0138 80 years, male, NA, stage:T3N1M0, dead, 2472 days 459.7
U0324 70 years, female, NA, stage:T4N1M0, alive, 938 days 456.3
U0800 74 years, male, NA, stage:T3N2M1, dead, 411 days 453.0
U0556 66 years, male, NA, stage:T3N2M0, alive, 2037 days 448.4
U0190 75 years, male, NA, stage:T3N0M0, alive, 2367 days 448.0
U0088 86 years, male, NA, stage:T3N1M1, dead, 260 days 447.6
U0666 59 years, male, NA, stage:T3N1M0, alive, 709 days 446.9
U0241 76 years, female, NA, stage:T2N1M0, alive, 552 days 445.7
U0001 69 years, female, NA, stage:T3N0M0, alive, 3188 days 431.0
U0584 66 years, male, NA, stage:T3N2M0, alive, 2705 days 429.1
U0271 69 years, female, NA, stage:T3N1M0, alive, 2414 days 422.6
U0713 63 years, male, NA, stage:T2N0M0, alive, 359 days 415.8
U0707 59 years, male, NA, stage:T3N1M0, alive, 518 days 409.9
U0423 55 years, female, NA, stage:T4N2M0, alive, 2735 days 398.4
U0497 66 years, female, NA, stage:T3N1M0, alive, 1414 days 392.5
U0534 69 years, female, NA, stage:T3N2M0, alive, 1361 days 383.7
U0346 67 years, male, NA, stage:T4N2M0, alive, 1148 days 379.2
U0862 75 years, male, NA, stage:T4N2M1, dead, 1064 days 378.7
U0409 61 years, female, NA, stage:T3N1M0, alive, 934 days 377.3
U0212 77 years, male, NA, stage:T3N0M1, alive, 1330 days 377.2
U0576 69 years, male, NA, stage:T3N2M0, alive, 2540 days 373.5
U0804 66 years, female, NA, stage:T3N2M1, dead, 380 days 371.4
U0572 67 years, female, NA, stage:T3N1M0, alive, 2621 days 371.3
U0550 43 years, male, NA, stage:T3N2M0, alive, 2191 days 370.7
U0380 62 years, male, NA, stage:T2N0M0, alive, 2155 days 370.5
U0086 86 years, female, NA, stage:T3N1M0, dead, 594 days 370.0
U0478 75 years, male, NA, stage:T4N2M0, alive, 2051 days 369.6
U0298 72 years, male, NA, stage:T3N1M0, alive, 513 days 364.7
U0437 57 years, male, NA, stage:T1N1M0, alive, 849 days 363.4
U0188 76 years, female, NA, stage:T3N1M0, alive, 2134 days 327.0
U0542 68 years, male, NA, stage:T3N2M0, dead, 1482 days 319.8
U0592 90 years, female, NA, stage:T2N0M0, dead, 670 days 318.8
U0596 61 years, male, NA, stage:T3N0M0, alive, 2233 days 312.7
U0675 84 years, female, NA, stage:T4N1M0, dead, 89 days 284.3
U0417 54 years, female, NA, stage:T3N2M1, dead, 893 days 282.4
U0587 47 years, male, NA, stage:T3N1M0, alive, 2107 days 270.3
U0533 68 years, male, NA, stage:T3N2M0, alive, 2248 days 254.2
U0093 85 years, male, NA, stage:T3N2M0, dead, 1118 days 125.5
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 197
Samples
Sample ID Sample type nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2 Tumor 0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3 Tumor 0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2 Tumor 0.6
c7aeb685-31b3-445e-8177-a3e729_D3 Tumor 0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3 Tumor 0.6
695b0b00-a86b-43c0-a6c8-50a840_D3 Tumor 0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2 Tumor 0.5
66b57abc-0d49-46bb-a390-0e11a9_D2 Tumor 0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2 Tumor 0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2 Normal 0.4
b4dd4a04-5eda-43dd-8298-215b07_D3 Tumor 0.4
b4e91300-405e-4239-b8da-5e1a42_D2 Tumor 0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3 Tumor 0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3 Tumor 0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8 Tumor 0.3
43192517-085e-450e-9481-0a6713_D3 Tumor 0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8 Tumor 0.3
c2c53076-b5db-4b7d-983c-a35740_D3 Tumor 0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3 Tumor 0.3
e2e83b72-b14b-4b06-9461-1115d6_D2 Tumor 0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2 Tumor 0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2 Tumor 0.3
c65afd57-530c-4366-b2c8-463a46_D2 Tumor 0.3
ea6df59d-5240-4927-b19d-d44590_D2 Tumor 0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2 Tumor 0.3
37219a7c-6fe2-4684-a494-d0be08_D2 Tumor 0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2 Tumor 0.3
d3078fa8-0692-411f-8441-0c7c48_D8 Tumor 0.3
8b9e4266-7754-4f2c-ac9e-329905_D2 Tumor 0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2 Tumor 0.2
58a92726-4d1f-4e44-8938-52b97d_D3 Tumor 0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3 Tumor 0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8 Tumor 0.2
cd89ffbb-574a-4052-bd9a-00c890_D2 Tumor 0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3 Tumor 0.2
6e20c8e9-ab75-4996-9296-445b00_D2 Tumor 0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3 Tumor 0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3 Tumor 0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2 Normal 0.2
092c5a37-325b-4181-b230-2d8fff_D2 Tumor 0.2
87408d9e-4029-4e8f-b14c-8efc04_D3 Tumor 0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8 Tumor 0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3 Tumor 0.2
54565eae-05c5-4dae-bde9-ae4874_D2 Normal 0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3 Tumor 0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8 Tumor 0.1
0f238226-864c-4de0-8c61-01e729_D2 Tumor 0.1
3e8019e8-125f-4615-a1fa-a448e9_D2 Normal 0.1
8af80ae9-2088-4124-91fb-8d6c17_D3 Tumor 0.1
f635496c-0046-4ecd-89bc-7a4f33_D2 Tumor 0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3 Tumor 0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2 Tumor 0.1
f6afe41c-111d-4818-8485-fe95e0_D2 Tumor 0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3 Tumor 0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3 Tumor 0.1
573048dd-2502-40e0-8e8c-c41bb8_D3 Tumor 0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3 Tumor 0.1
a467b905-fc0b-427b-8753-6d38dd_D3 Tumor 0.1
591fb460-703a-437d-8d9a-ff2a35_D3 Tumor 0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2 Tumor 0.1
4b263734-430f-41dc-a296-8691f0_D3 Tumor 0.1
0c330883-ab58-4a5a-bff7-07d283_D2 Normal 0.1
e1cd3d70-132b-452f-ba10-026721_D2 Tumor 0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3 Tumor 0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2 Tumor 0.1
3d797911-d476-436f-9cce-33e20c_D8 Tumor 0.0
2167c594-c33f-4795-b95b-69bd07_D2 Tumor 0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2 Normal 0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2 Normal 0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2 Normal 0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2 Normal 0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2 Tumor 0.0
8cc7e656-0152-4359-8566-0581c3 Tumor 0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3 Tumor 0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3 Tumor 0.0
5e886f1c-8165-4232-9591-d80799_D2 Normal 0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2 Tumor 0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2 Normal 0.0
a84149b1-8453-45f0-8400-d7b12f_D2 Normal 0.0
e196a0b4-2a05-43de-bb30-ceb761_D2 Tumor 0.0
321fb3b2-ebb6-4ea5-b737-081264_D2 Tumor 0.0
79097be1-cd36-4a23-99d1-3d744f_D2 Tumor 0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3 Tumor 0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3 Tumor 0.0
372c900a-fced-4eef-9dc4-7282ec_D2 Tumor 0.0
377cdd37-d1bd-4042-997e-478a0f_D2 Normal 0.0
e515eb5c-8005-416a-9b42-59de9d_D8 Tumor 0.0
23e938d0-92b8-4aea-90c1-4385df_D2 Normal 0.0
2b810478-7956-4a8b-870d-184859_D2 Tumor 0.0
e3c012aa-51c2-42b0-a478-bd620f_D2 Normal 0.0
21cab01c-e968-42cc-9651-1e53c0_D3 Tumor 0.0
5557e478-3e6f-475b-8acc-1b4159_D8 Tumor 0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3 Tumor 0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2 Normal 0.0
cbd0e774-c741-4753-9c9e-391a7d_D2 Normal 0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2 Normal -0.1
820a3f08-5bb1-44b3-a133-ee167e_D2 Tumor -0.1
64ed43a2-f083-43cb-9d0d-118495_D2 Normal -0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3 Tumor -0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2 Normal -0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2 Normal -0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2 Normal -0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2 Normal -0.1
bd67de01-ad7d-431a-9ad6-4dd5a1 Tumor -0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2 Normal -0.1
a313f6ef-5994-4d49-9e66-c26911_D2 Normal -0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2 Tumor -0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2 Normal -0.1
903d5fe0-970a-47be-a97f-3cc914_D2 Normal -0.1
3a17283c-a0f4-4514-956b-080d11_D2 Normal -0.1
d8805fa4-30f9-4417-907e-fdc50c_D2 Normal -0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3 Tumor -0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2 Normal -0.2
0d5554d1-1653-4589-a44f-43113e_D2 Normal -0.2
b2400046-1d25-429d-a821-6040a6 Tumor -0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2 Normal -0.2
bda3787a-1397-4716-bb17-4992a8_D2 Normal -0.2
d80408d6-598d-4411-ab34-eb2545_D2 Normal -0.2
b2978e90-cd2a-4665-b1bf-508a99_D2 Normal -0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2 Normal -0.2
1bf00d93-240f-47e8-8055-f546b0_D2 Normal -0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3 Tumor -0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2 Normal -0.2
1c070992-647b-4173-a481-904c4d_D2 Normal -0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2 Normal -0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2 Normal -0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2 Normal -0.2
694e8df1-d9ee-473b-bec1-4f9237_D2 Normal -0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2 Normal -0.2
b3696374-c6c0-49dd-833e-596e26_D2 Normal -0.2
47d2a435-b203-4438-ae72-53c424_D2 Normal -0.2
e070ff10-058b-4733-93ab-bdd702_D2 Normal -0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2 Tumor -0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3 Tumor -0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2 Normal -0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2 Normal -0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2 Normal -0.2
8c73f3a5-fea8-4942-90c0-966f66_D3 Tumor -0.2
26acb513-3ffe-49ad-8581-9dfc97_D2 Normal -0.2
154115ac-2ec2-439d-b55e-0464ee_D2 Normal -0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2 Normal -0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2 Normal -0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2 Normal -0.3
da747cee-5026-4923-af63-ad9f81_D2 Normal -0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2 Normal -0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2 Normal -0.3
067db520-1b1f-4569-9414-e37a6e_D2 Normal -0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2 Tumor -0.3
a243b765-61ab-4aa6-88e1-226896_D2 Normal -0.3
6797a69d-2f74-44b9-8147-cd4fac_D2 Normal -0.3
963fc8db-f412-4427-a198-23f660_D2 Normal -0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2 Normal -0.3
348f6009-e1be-44d2-a093-9ca844_D2 Normal -0.3
974e136f-7020-4a38-b9c1-094df9_D2 Normal -0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2 Normal -0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3 Tumor -0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2 Normal -0.3
82157a70-12f1-4913-b548-d98881_D2 Normal -0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2 Normal -0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2 Normal -0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3 Tumor -0.3
65867ab1-5eab-44a8-b2bb-d27263_D2 Normal -0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2 Normal -0.3
c1b66358-d103-493c-b8ec-92c43b_D1 Tumor -0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2 Normal -0.3
df479b07-bbf6-472d-a580-c3fd0c_D2 Normal -0.4
bc574f73-89ba-44d7-992e-82622c_D3 Tumor -0.4
c307b7b0-534a-45fa-a420-35f773_D2 Normal -0.4
1136008b-97ce-49b0-bf24-abbea6_D2 Normal -0.4
16ac8458-5200-4302-9ad0-b311df_D2 Normal -0.4
87b0e853-43ea-4efb-8a22-dd221f_D2 Normal -0.4
62627b73-1763-48bc-8eea-e5bd76_D2 Normal -0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2 Normal -0.4
526c3664-5b9b-4a2b-a00e-a14623_D2 Tumor -0.4
1563ef63-d2e6-406f-adc1-255949_D3 Tumor -0.4
a27cf22d-836e-49a7-802f-47c1db_D2 Normal -0.4
5de06adb-e00d-4114-8d76-04bd30_D2 Normal -0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2 Normal -0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2 Normal -0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3 Tumor -0.4
059a7065-3a5f-4eea-97e5-85ab01_D2 Normal -0.4
bed27f66-ef3b-4868-b4ad-205018_D2 Normal -0.4
233ec093-9a30-4ef4-a12c-91757e_D2 Normal -0.4
359f5c81-2575-497e-8630-e4866f_D2 Normal -0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2 Normal -0.4
799893aa-d523-4a08-9ea7-611cca_D3 Tumor -0.5
853ecf90-71e6-4156-a56f-a34b65_D2 Normal -0.5
e74089a9-f78c-4ffe-8174-aef71b_D2 Normal -0.5
02cde0c0-6840-495b-9b11-007d82_D2 Normal -0.5
176d1b96-8c6e-44fe-8a32-e15194_D2 Normal -0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2 Normal -0.6
2666323d-522f-4f0a-823c-ff8866_D2 Normal -0.6
41a04113-2061-4923-bca5-da586c_D2 Normal -0.6
5a3aa99d-ca10-45f6-939f-12392a_D2 Normal -0.6
3765c09a-fff7-4b37-bf2b-452b23_D2 Normal -0.7
efee6bb9-69dd-46c2-85b3-b55962_D2 Normal -0.7
411d9597-c785-4de5-b449-29a80d_D2 Normal -0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

Pending cancer tissue analysis

Contact

  • NEWS ARTICLES
  • PRESS ROOM

The Project

  • INTRODUCTION
  • ORGANIZATION
  • PUBLICATIONS

The Human Protein Atlas

  • DOWNLOADABLE DATA
  • LICENCE & CITATION
  • HELP & FAQ
The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.


contact@proteinatlas.org