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.
RPL10A
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

  • RPL10A
CANCER LIVER 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
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (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.

RPL10A is not prognostic in Liver Hepatocellular Carcinoma (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.

: 929.1
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 847.3
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 3058.9
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 3003.2
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 2279.6
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 2139.0
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 2121.7
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 2112.8
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 2021.6
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 2015.0
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 1958.7
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1930.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1915.0
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 1882.3
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1850.3
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1794.1
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1755.6
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 1747.4
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1704.0
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1702.6
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1666.6
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1661.6
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1620.8
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1615.7
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1606.4
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 1601.2
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1600.8
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1563.3
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1562.6
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1561.6
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1554.6
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 1550.4
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1549.3
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1536.3
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1532.4
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1505.4
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1503.5
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1468.6
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1451.9
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1421.2
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1421.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1390.2
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1387.9
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1372.9
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1372.8
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1371.2
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1366.6
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1352.4
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 1307.5
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1304.9
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1293.6
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 1292.1
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1290.9
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1278.2
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1270.5
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 1264.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1253.8
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1245.1
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1221.3
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1217.7
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1181.8
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1171.5
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1165.4
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1163.1
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1161.6
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 1160.3
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 1156.0
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1146.9
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1139.8
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 1138.7
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1130.4
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1128.1
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 1125.4
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 1119.1
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1109.7
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1108.5
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1105.9
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1103.1
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1102.7
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1102.5
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1095.0
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1079.8
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 1077.5
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 1068.3
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 1060.3
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1058.9
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1051.6
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1050.5
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1048.5
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1034.0
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 1030.7
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1022.3
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1013.6
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 1013.2
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1010.7
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1008.3
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 1004.0
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 999.3
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 997.4
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 995.0
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 989.6
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 988.8
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 979.0
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 977.6
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 976.9
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 974.7
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 972.5
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 963.7
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 963.3
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 961.4
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 947.6
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 946.6
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 945.2
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 940.7
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 939.2
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 935.0
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 933.7
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 929.1
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 925.5
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 924.5
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 921.7
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 921.2
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 913.6
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 912.3
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 911.9
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 906.8
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 906.6
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 898.9
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 898.8
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 892.4
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 890.2
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 886.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 884.1
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 882.6
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 881.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 869.3
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 866.1
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 866.1
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 865.8
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 864.2
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 862.4
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 860.5
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 858.0
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 855.8
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 855.3
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 854.7
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 853.0
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 852.4
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 851.6
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 851.4
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 850.0
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 840.6
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 836.0
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 833.9
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 832.3
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 831.5
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 823.8
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 818.5
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 812.3
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 806.6
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 804.0
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 802.9
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 795.2
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 794.9
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 794.0
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 792.7
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 791.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 790.4
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 788.4
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 786.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 785.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 775.1
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 771.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 766.4
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 764.2
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 755.8
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 754.2
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 749.9
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 743.7
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 742.7
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 740.3
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 737.7
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 737.6
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 736.9
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 735.2
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 730.7
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 729.0
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 725.0
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 724.0
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 723.9
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 723.8
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 723.5
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 722.0
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 717.5
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 716.3
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 713.6
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 712.9
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 711.9
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 705.6
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 700.5
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 695.0
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 694.2
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 694.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 694.1
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 692.5
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 691.4
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 688.7
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 687.2
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 680.4
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 679.1
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 678.4
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 676.3
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 675.2
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 674.5
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 673.6
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 672.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 672.3
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 671.3
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 670.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 669.9
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 666.1
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 665.2
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 664.8
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 663.9
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 663.5
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 662.1
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 661.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 661.3
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 654.7
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 654.3
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 643.3
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 642.7
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 641.5
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 639.8
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 639.7
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 631.8
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 630.2
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 629.3
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 627.9
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 627.8
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 626.1
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 625.6
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 625.4
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 624.9
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 620.5
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 618.2
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 616.7
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 612.0
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 610.8
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 610.6
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 608.8
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 606.6
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 605.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 604.7
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 604.2
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 601.4
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 597.1
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 592.2
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 590.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 585.8
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 585.0
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 583.3
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 580.8
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 579.7
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 574.7
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 574.4
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 572.9
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 571.6
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 570.9
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 567.3
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 565.2
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 564.6
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 559.8
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 555.7
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 555.0
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 551.5
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 549.4
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 549.1
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 547.0
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 544.6
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 543.7
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 540.9
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 538.1
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 533.5
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 533.0
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 531.8
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 526.4
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 525.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 518.8
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 518.0
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 512.4
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 511.1
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 508.4
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 506.3
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 496.6
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 493.9
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 490.8
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 488.1
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 487.4
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 487.1
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 485.2
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 485.1
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 484.7
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 484.4
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 476.7
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 475.7
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 473.2
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 472.9
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 467.6
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 461.7
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 461.4
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 458.9
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 456.6
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 450.2
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 450.1
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 447.6
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 443.9
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 443.5
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 437.4
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 436.2
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 429.6
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 425.4
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 424.5
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 423.7
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 416.7
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 407.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 403.1
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 403.0
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 399.3
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 396.8
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 395.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 395.7
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 394.5
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 389.2
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 387.3
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 380.4
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 380.3
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 378.6
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 374.6
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 372.9
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 370.7
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 369.8
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 369.6
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 366.3
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 358.2
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 354.4
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 350.8
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 350.6
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 343.2
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 340.0
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 335.2
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 329.3
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 327.5
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 324.2
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 319.1
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 318.0
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 300.2
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 285.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 271.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 243.0
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 232.5
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 230.2
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 201.3
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 191.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA (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.

RPL10A is not prognostic in Liver Hepatocellular Carcinoma (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.

: 698.99
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 1120.2
Number of samples 231
Samples
Sample Description pTPM
DO45285 59 years, male, NA, stage:3, alive, 480 days 4158.6
DO45189 85 years, female, NA, stage:2, alive, 1200 days 3369.7
DO50785 37 years, male, NA, stage:4, dead, 90 days 3351.4
DO23516 69 years, male, NA, stage:3, dead, 20 days 2986.4
DO45289 78 years, female, NA, stage:3, alive, 360 days 2898.9
DO45259 65 years, male, NA, stage:3, alive, 330 days 2755.7
DO45303 62 years, female, NA, stage:3, alive, 990 days 2658.4
DO45097 69 years, male, NA, stage:3, alive, 1620 days 2420.1
DO45251 57 years, female, NA, stage:2, alive, 900 days 2381.2
DO23528 45 years, female, NA, stage:2, alive, 1020 days 2369.3
DO23530 53 years, male, NA, stage:4, dead, 180 days 2365.0
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2359.0
DO45283 60 years, male, NA, stage:3, alive, 510 days 2212.9
DO48682 72 years, female, NA, stage:3, dead, 120 days 2208.3
DO50855 47 years, male, NA, stage:2, alive, 570 days 2136.0
DO45305 66 years, male, NA, stage:4, alive, 300 days 2108.9
DO45193 68 years, female, NA, stage:4, dead, 120 days 2101.9
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2090.4
DO48751 68 years, male, NA, stage:2, dead, 480 days 2025.0
DO45307 54 years, female, NA, stage:4, dead, 240 days 1998.7
DO45267 73 years, male, NA, stage:3, dead, 570 days 1976.8
DO48706 72 years, male, NA, stage:2, alive, 870 days 1912.8
DO50806 70 years, male, NA, stage:4, alive, 540 days 1886.0
DO45247 31 years, female, NA, stage:2, alive, 210 days 1883.5
DO50811 62 years, male, NA, stage:1, alive, 450 days 1870.1
DO48747 62 years, male, NA, stage:3, alive, 540 days 1858.4
DO23519 65 years, male, NA, stage:3, alive, 630 days 1819.1
DO50814 83 years, male, NA, stage:3, alive, 420 days 1815.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1807.6
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1765.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 1746.6
DO48672 81 years, male, NA, stage:2, alive, 450 days 1726.1
DO45211 76 years, male, NA, stage:3, alive, 240 days 1723.5
DO23537 79 years, male, NA, stage:2, dead, 900 days 1715.0
DO45287 74 years, male, NA, stage:1, alive, 390 days 1705.4
DO48730 73 years, female, NA, stage:2, alive, 630 days 1703.1
DO48715 58 years, female, NA, stage:2, dead, 690 days 1677.7
DO45249 57 years, male, NA, stage:1, alive, 630 days 1664.0
DO48759 73 years, male, NA, stage:3, alive, 720 days 1654.4
DO45199 86 years, female, NA, stage:2, alive, 1350 days 1649.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1631.2
DO50859 77 years, male, NA, stage:2, alive, 180 days 1624.8
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1622.4
DO48723 73 years, male, NA, stage:1, alive, 600 days 1603.9
DO48746 76 years, male, NA, stage:3, alive, 570 days 1597.6
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1595.0
DO23545 67 years, male, NA, stage:2, dead, 570 days 1585.3
DO23533 61 years, male, NA, stage:2, alive, 900 days 1561.4
DO45163 76 years, male, NA, stage:2, alive, 960 days 1559.0
DO23542 66 years, male, NA, stage:3, alive, 960 days 1533.5
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1529.5
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1510.0
DO50783 62 years, male, NA, stage:3, alive, 480 days 1508.5
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1473.8
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1465.7
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1454.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 1439.3
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1430.5
DO50844 75 years, male, NA, stage:4, alive, 300 days 1422.5
DO45239 42 years, male, NA, stage:2, alive, 870 days 1420.6
DO48732 73 years, male, NA, stage:3, alive, 630 days 1413.9
DO48736 76 years, female, NA, stage:1, alive, 600 days 1398.4
DO45221 75 years, female, NA, stage:4, dead, 390 days 1397.9
DO45231 84 years, male, NA, stage:2, alive, 930 days 1392.6
DO50799 66 years, female, NA, stage:2, alive, 540 days 1387.7
DO45165 75 years, male, NA, stage:2, alive, 690 days 1384.6
DO50822 66 years, male, NA, stage:2, alive, 510 days 1382.1
DO48697 64 years, female, NA, stage:2, dead, 810 days 1375.4
DO45261 74 years, male, NA, stage:3, alive, 990 days 1358.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 1350.6
DO50793 76 years, male, NA, stage:4, alive, 540 days 1304.0
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1297.7
DO45205 67 years, female, NA, stage:2, dead, 90 days 1280.0
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1278.4
DO50802 49 years, male, NA, stage:2, alive, 930 days 1278.0
DO23508 79 years, female, NA, stage:2, alive, 390 days 1273.8
DO50839 47 years, female, NA, stage:3, alive, 330 days 1270.1
DO50778 60 years, male, NA, stage:4, alive, 630 days 1268.2
DO45253 50 years, male, NA, stage:2, alive, 870 days 1266.5
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1259.1
DO45127 73 years, male, NA, stage:3, dead, 420 days 1256.9
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1238.8
DO48727 81 years, female, NA, stage:2, dead, 390 days 1231.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1231.1
DO48757 68 years, female, NA, stage:3, alive, 480 days 1230.2
DO48737 52 years, male, NA, stage:1, alive, 720 days 1228.7
DO23540 73 years, male, NA, stage:1, alive, 750 days 1220.0
DO45183 72 years, female, NA, stage:2, dead, 570 days 1218.0
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1204.6
DO45217 69 years, female, NA, stage:3, dead, 270 days 1188.8
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1179.4
DO50850 74 years, male, NA, stage:3, alive, 720 days 1174.6
DO45179 78 years, female, NA, stage:2, alive, 600 days 1156.5
DO45273 62 years, male, NA, stage:2, alive, 480 days 1147.5
DO50791 79 years, female, NA, stage:1, dead, 480 days 1142.0
DO50804 81 years, male, NA, stage:2, alive, 720 days 1140.4
DO50805 72 years, male, NA, stage:2, alive, 690 days 1122.7
DO50809 56 years, male, NA, stage:3, dead, 720 days 1113.8
DO48712 50 years, male, NA, stage:2, alive, 810 days 1081.0
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1066.4
DO45281 83 years, male, NA, stage:4, alive, 750 days 1057.8
DO45171 56 years, male, NA, stage:3, alive, 600 days 1057.5
DO48733 72 years, male, NA, stage:2, alive, 600 days 1050.0
DO50820 77 years, female, NA, stage:3, alive, 510 days 1044.3
DO50857 72 years, male, NA, stage:2, alive, 210 days 1044.2
DO48700 78 years, female, NA, stage:2, alive, 810 days 1035.7
DO45185 89 years, male, NA, stage:2, alive, 600 days 1025.2
DO48720 62 years, female, NA, stage:2, alive, 570 days 1024.0
DO50825 70 years, male, NA, stage:2, alive, 390 days 1021.6
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1020.8
DO45169 74 years, male, NA, stage:3, alive, 1350 days 1018.0
DO50800 74 years, male, NA, stage:2, alive, 510 days 1016.2
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1013.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1002.8
DO45121 61 years, male, NA, stage:3, alive, 1530 days 999.2
DO23511 83 years, female, NA, stage:3, dead, 180 days 983.5
DO48725 66 years, male, NA, stage:1, alive, 780 days 971.5
DO48695 77 years, male, NA, stage:2, alive, 720 days 970.4
DO23523 52 years, male, NA, stage:3, alive, 1080 days 966.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 966.4
DO45157 62 years, male, NA, stage:2, alive, 1980 days 963.3
DO45257 46 years, male, NA, stage:3, alive, 810 days 957.9
DO48681 57 years, male, NA, stage:2, alive, 900 days 953.2
DO45119 74 years, male, NA, stage:3, dead, 510 days 951.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 942.8
DO23536 56 years, male, NA, stage:2, alive, 930 days 942.7
DO23514 64 years, male, NA, stage:2, alive, 1290 days 941.3
DO45143 69 years, male, NA, stage:3, alive, 1290 days 932.3
DO50829 78 years, male, NA, stage:3, alive, 570 days 931.8
DO45237 58 years, male, NA, stage:2, alive, 900 days 928.8
DO45201 49 years, male, NA, stage:1, alive, 900 days 914.5
DO48728 74 years, female, NA, stage:2, alive, 150 days 904.5
DO23529 72 years, male, NA, stage:4, alive, 930 days 903.1
DO45229 74 years, male, NA, stage:1, alive, 990 days 867.0
DO45275 65 years, male, NA, stage:3, dead, 10 days 865.5
DO48717 54 years, male, NA, stage:4, dead, 180 days 863.3
DO23526 66 years, male, NA, stage:3, alive, 1050 days 862.6
DO45177 81 years, female, NA, stage:3, alive, 1260 days 846.7
DO48742 76 years, male, NA, stage:2, alive, 600 days 835.9
DO23513 76 years, male, NA, stage:3, alive, 1200 days 834.2
DO48704 68 years, female, NA, stage:3, alive, 750 days 833.0
DO45245 75 years, female, NA, stage:2, dead, 240 days 831.5
DO45223 67 years, male, NA, stage:4, alive, 1020 days 825.5
DO45131 53 years, male, NA, stage:4, dead, 360 days 810.2
DO50776 75 years, male, NA, stage:1, alive, 690 days 806.7
DO45243 74 years, female, NA, stage:3, alive, 930 days 802.5
DO45092 62 years, male, NA, stage:4, dead, 1200 days 800.3
DO227801 77 years, female, NA, stage:1, alive, 660 days 798.5
DO48719 80 years, male, NA, stage:2, alive, 690 days 786.4
DO50840 49 years, male, NA, stage:2, alive, 330 days 773.0
DO48741 64 years, male, NA, stage:3, alive, 240 days 765.6
DO45155 69 years, male, NA, stage:2, alive, 2160 days 763.0
DO50816 63 years, male, NA, stage:2, alive, 390 days 762.2
DO50798 77 years, male, NA, stage:3, dead, 30 days 762.1
DO23538 67 years, male, NA, stage:2, alive, 450 days 754.1
DO50815 62 years, male, NA, stage:3, alive, 150 days 752.1
DO45233 83 years, male, NA, stage:3, alive, 900 days 745.1
DO45113 58 years, male, NA, stage:3, alive, 1560 days 743.7
DO23527 72 years, male, NA, stage:1, alive, 1050 days 739.0
DO45159 65 years, male, NA, stage:3, alive, 1470 days 734.7
DO45133 64 years, male, NA, stage:3, dead, 660 days 719.7
DO45091 56 years, male, NA, stage:2, dead, 1320 days 711.4
DO45153 77 years, female, NA, stage:2, alive, 1380 days 709.1
DO45096 69 years, male, NA, stage:2, dead, 1290 days 699.6
DO50817 75 years, male, NA, stage:2, alive, 390 days 698.4
DO50818 65 years, male, NA, stage:2, alive, 510 days 695.9
DO45181 84 years, female, NA, stage:2, alive, 1200 days 685.9
DO45109 63 years, male, NA, stage:2, alive, 1590 days 666.5
DO48743 69 years, female, NA, stage:2, alive, 570 days 665.5
DO45255 81 years, male, NA, stage:3, alive, 720 days 646.0
DO45123 78 years, female, NA, stage:2, dead, 570 days 644.7
DO23510 80 years, female, NA, stage:2, alive, 870 days 638.8
DO23546 63 years, male, NA, stage:2, alive, 1050 days 638.8
DO45235 68 years, female, NA, stage:1, alive, 900 days 623.9
DO48716 71 years, male, NA, stage:2, alive, 720 days 623.4
DO23541 65 years, male, NA, stage:2, alive, 930 days 622.0
DO50787 63 years, male, NA, stage:3, alive, 480 days 620.1
DO48721 58 years, female, NA, stage:1, alive, 900 days 611.2
DO45137 38 years, male, NA, stage:1, alive, 1320 days 606.7
DO23543 63 years, male, NA, stage:2, alive, 1020 days 602.6
DO50813 56 years, male, NA, stage:2, alive, 420 days 602.6
DO50819 72 years, female, NA, stage:2, alive, 510 days 600.6
DO48679 72 years, male, NA, stage:2, alive, 1200 days 598.8
DO50789 73 years, female, NA, stage:2, alive, 570 days 597.2
DO23548 78 years, female, NA, stage:1, alive, 840 days 596.7
DO45094 76 years, male, NA, stage:3, alive, 1650 days 592.6
DO23547 74 years, male, NA, stage:1, alive, 1020 days 588.9
DO23524 71 years, female, NA, stage:2, alive, 1050 days 586.9
DO50774 68 years, female, NA, stage:2, alive, 720 days 580.1
DO45207 68 years, male, NA, stage:1, alive, 1050 days 578.7
DO45241 49 years, male, NA, stage:1, alive, 1080 days 578.5
DO23531 78 years, female, NA, stage:3, alive, 900 days 569.7
DO50807 67 years, male, NA, stage:1, alive, 540 days 568.0
DO45145 78 years, male, NA, stage:3, dead, 60 days 564.2
DO23549 74 years, male, NA, stage:3, alive, 990 days 562.9
DO48674 80 years, male, NA, stage:2, alive, 1260 days 559.4
DO50803 62 years, female, NA, stage:1, alive, 540 days 552.5
DO48701 78 years, male, NA, stage:2, alive, 780 days 547.3
DO23535 67 years, male, NA, stage:1, alive, 960 days 545.0
DO48761 55 years, male, NA, stage:2, alive, 870 days 544.5
DO45263 67 years, male, NA, stage:3, dead, 270 days 544.1
DO48760 70 years, female, NA, stage:2, alive, 690 days 541.8
DO45129 61 years, male, NA, stage:3, alive, 1470 days 538.7
DO50808 68 years, male, NA, stage:2, alive, 570 days 537.4
DO48693 71 years, male, NA, stage:2, alive, 900 days 536.6
DO45149 70 years, female, NA, stage:2, alive, 1260 days 516.3
DO23518 67 years, male, NA, stage:2, alive, 1320 days 509.0
DO45125 58 years, male, NA, stage:3, alive, 1680 days 505.6
DO45099 46 years, male, NA, stage:3, alive, 1590 days 499.2
DO23517 62 years, male, NA, stage:2, alive, 1200 days 497.0
DO23550 69 years, male, NA, stage:1, alive, 990 days 491.5
DO45197 51 years, male, NA, stage:2, alive, 1170 days 486.8
DO50845 72 years, male, NA, stage:3, alive, 210 days 441.5
DO45195 62 years, male, NA, stage:1, alive, 390 days 441.3
DO23551 73 years, male, NA, stage:3, dead, 150 days 437.0
DO45215 65 years, male, NA, stage:2, alive, 1170 days 428.3
DO50832 73 years, male, NA, stage:3, alive, 90 days 424.9
DO23539 77 years, male, NA, stage:1, alive, 1110 days 422.2
DO23544 67 years, male, NA, stage:2, alive, 960 days 419.6
DO227643 79 years, male, NA, stage:2, alive, 1260 days 419.3
DO23509 60 years, male, NA, stage:3, dead, 780 days 416.3
DO45115 81 years, male, NA, stage:2, alive, 840 days 408.7
DO23552 80 years, female, NA, stage:1, alive, 810 days 393.6
DO23512 60 years, male, NA, stage:1, alive, 1260 days 354.3
DO45111 74 years, male, NA, stage:2, alive, 1590 days 337.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 318.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 260.7
DO45101 63 years, male, NA, stage:2, alive, 1680 days 212.8
DO45167 67 years, male, NA, stage:2, dead, 1440 days 193.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 169.0
DO45105 61 years, male, NA, stage:1, alive, 1680 days 143.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
557 Tumor 0.7
367 Tumor 0.4
685 Tumor 0.4
1021 Tumor 0.4
467 Tumor 0.4
537 Tumor 0.4
223 Tumor 0.3
567 Tumor 0.3
353 Tumor 0.3
285 Tumor 0.3
978 Normal 0.3
395 Tumor 0.3
743 Tumor 0.3
661 Tumor 0.3
815 Tumor 0.3
332 Normal 0.3
331 Tumor 0.3
568 Normal 0.3
113 Tumor 0.3
851 Tumor 0.3
636 Normal 0.3
965 Tumor 0.3
227 Tumor 0.3
937 Tumor 0.3
135 Tumor 0.2
1014 Normal 0.2
314 Normal 0.2
912 Normal 0.2
523 Tumor 0.2
1032 Normal 0.2
358 Normal 0.2
218 Normal 0.2
955 Tumor 0.2
865 Tumor 0.2
191 Tumor 0.2
131 Tumor 0.2
983 Tumor 0.2
222 Normal 0.2
528 Normal 0.2
984 Normal 0.2
376 Normal 0.2
1027 Tumor 0.2
573 Tumor 0.2
497 Tumor 0.2
558 Normal 0.2
327 Tumor 0.2
267 Tumor 0.2
1025 Tumor 0.2
217 Tumor 0.2
564 Normal 0.2
518 Normal 0.2
393 Tumor 0.2
1044 Normal 0.2
298 Normal 0.2
136 Normal 0.2
196 Normal 0.2
414 Normal 0.2
1026 Normal 0.2
212 Normal 0.2
214 Normal 0.2
413 Tumor 0.2
982 Normal 0.2
422 Normal 0.2
671 Tumor 0.2
257 Tumor 0.1
713 Tumor 0.1
351 Tumor 0.1
721 Tumor 0.1
648 Normal 0.1
427 Tumor 0.1
777 Tumor 0.1
571 Tumor 0.1
545 Tumor 0.1
1022 Normal 0.1
724 Normal 0.1
926 Normal 0.1
745 Tumor 0.1
714 Normal 0.1
137 Tumor 0.1
664 Normal 0.1
448 Normal 0.1
375 Tumor 0.1
426 Normal 0.1
966 Normal 0.1
533 Tumor 0.1
342 Normal 0.1
352 Normal 0.1
142 Normal 0.1
723 Tumor 0.1
385 Tumor 0.1
114 Normal 0.1
444 Normal 0.1
824 Normal 0.1
228 Normal 0.1
286 Normal 0.1
443 Tumor 0.1
124 Normal 0.1
517 Tumor 0.1
938 Normal 0.1
738 Normal 0.1
696 Normal 0.1
923 Tumor 0.1
284 Normal 0.1
534 Normal 0.1
526 Normal 0.1
957 Tumor 0.1
1028 Normal 0.1
737 Tumor 0.1
446 Normal 0.1
195 Tumor 0.1
466 Normal 0.1
123 Tumor 0.1
617 Tumor 0.1
1031 Tumor 0.1
686 Normal 0.1
524 Normal 0.1
481 Tumor 0.1
742 Normal 0.1
1016 Normal 0.1
697 Tumor 0.1
172 Normal 0.1
666 Normal 0.1
672 Normal 0.1
162 Normal 0.1
148 Normal 0.1
981 Tumor 0.1
132 Normal 0.1
387 Tumor 0.1
146 Normal 0.1
536 Normal 0.1
224 Normal 0.1
1042 Normal 0.1
128 Normal 0.1
727 Tumor 0.1
662 Normal 0.1
878 Normal 0.1
728 Normal 0.1
1041 Tumor 0.1
232 Normal 0.1
384 Normal 0.1
412 Normal 0.1
478 Normal 0.1
778 Normal 0.1
817 Tumor 0.1
922 Normal 0.1
1043 Tumor 0.1
432 Normal 0.1
525 Tumor 0.1
665 Tumor 0.1
271 Tumor 0.1
147 Tumor 0.1
493 Tumor 0.1
424 Normal 0.1
488 Normal 0.1
362 Normal 0.1
916 Normal 0.1
171 Tumor 0.1
864 Normal 0.1
535 Tumor 0.1
572 Normal 0.1
967 Tumor 0.1
722 Normal 0.1
527 Tumor 0.1
918 Normal 0.1
873 Tumor 0.1
464 Normal 0.1
138 Normal 0.1
882 Normal 0.1
884 Normal 0.1
366 Normal 0.0
126 Normal 0.0
328 Normal 0.0
344 Normal 0.0
277 Tumor 0.0
515 Tumor 0.0
715 Tumor 0.0
421 Tumor 0.0
953 Tumor 0.0
823 Tumor 0.0
858 Normal 0.0
462 Normal 0.0
628 Normal 0.0
471 Tumor 0.0
312 Normal 0.0
451 Tumor 0.0
357 Tumor 0.0
951 Tumor 0.0
425 Tumor 0.0
818 Normal 0.0
354 Normal 0.0
924 Normal 0.0
278 Normal 0.0
356 Normal 0.0
1046 Normal 0.0
746 Normal 0.0
447 Tumor 0.0
213 Tumor 0.0
111 Normal 0.0
964 Normal 0.0
428 Normal 0.0
968 Normal 0.0
958 Normal 0.0
364 Normal 0.0
913 Tumor 0.0
914 Normal 0.0
187 Tumor 0.0
221 Tumor 0.0
261 Tumor 0.0
368 Normal 0.0
436 Normal 0.0
145 Tumor 0.0
852 Normal 0.0
866 Normal 0.0
472 Normal 0.0
394 Normal 0.0
474 Normal 0.0
755 Tumor 0.0
311 Tumor 0.0
546 Normal 0.0
716 Normal 0.0
813 Tumor 0.0
944 Normal 0.0
494 Normal 0.0
516 Normal 0.0
877 Tumor 0.0
785 Tumor 0.0
297 Tumor 0.0
313 Tumor 0.0
452 Normal 0.0
262 Normal 0.0
465 Tumor 0.0
186 Normal 0.0
698 Normal 0.0
141 Tumor 0.0
392 Normal 0.0
816 Normal 0.0
112 Tumor 0.0
862 Normal 0.0
272 Normal 0.0
468 Normal 0.0
921 Tumor 0.0
756 Normal 0.0
554 Normal 0.0
188 Normal 0.0
917 Tumor 0.0
127 Tumor 0.0
463 Tumor 0.0
231 Tumor 0.0
952 Normal 0.0
563 Tumor 0.0
433 Tumor 0.0
867 Tumor 0.0
492 Normal 0.0
482 Normal 0.0
192 Normal 0.0
574 Normal 0.0
365 Tumor 0.0
883 Tumor 0.0
976 Normal 0.0
514 Normal 0.0
431 Tumor -0.1
211 Tumor -0.1
185 Tumor -0.1
473 Tumor -0.1
963 Tumor -0.1
647 Tumor -0.1
423 Tumor -0.1
663 Tumor -0.1
956 Normal -0.1
258 Normal -0.1
456 Normal -0.1
343 Tumor -0.1
1015 Tumor -0.1
954 Normal -0.1
513 Tumor -0.1
925 Tumor -0.1
553 Tumor -0.1
416 Normal -0.1
483 Tumor -0.1
786 Normal -0.1
695 Tumor -0.1
538 Normal -0.1
434 Normal -0.1
341 Tumor -0.1
363 Tumor -0.1
618 Normal -0.1
161 Tumor -0.1
283 Tumor -0.1
881 Tumor -0.1
943 Tumor -0.1
484 Normal -0.1
861 Tumor -0.1
487 Tumor -0.1
857 Tumor -0.1
975 Tumor -0.1
744 Normal -0.1
268 Normal -0.1
411 Tumor -0.1
874 Normal -0.1
814 Normal -0.1
396 Normal -0.1
461 Tumor -0.1
1013 Tumor -0.1
355 Tumor -0.1
615 Tumor -0.1
915 Tumor -0.1
361 Tumor -0.2
386 Normal -0.2
125 Tumor -0.2
388 Normal -0.2
477 Tumor -0.2
455 Tumor -0.2
415 Tumor -0.2
616 Normal -0.2
977 Tumor -0.2
642 Normal -0.2
911 Tumor -0.2
445 Tumor -0.2
435 Tumor -0.2
491 Tumor -0.2
741 Tumor -0.2
383 Tumor -0.2
498 Normal -0.2
641 Tumor -0.3
868 Normal -0.3
635 Tumor -0.3
863 Tumor -0.3
391 Tumor -0.3
1045 Tumor -0.3
627 Tumor -0.4
Show allShow less
LIVER 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.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA053803
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Cholangiocarcinoma
Carcinoma, Hepatocellular, NOS

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