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.
RPL5
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

  • RPL5
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.

RPL5 is validated prognostic, high expression is unfavorable 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.

: 941.02
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 744.6
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 3445.6
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 2476.7
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1965.0
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1963.5
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1909.9
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1900.1
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1886.5
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1824.5
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 1802.2
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1801.9
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1785.9
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1706.1
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 1680.7
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1630.3
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1620.3
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1616.5
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1593.4
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1585.5
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 1582.2
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1578.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1565.6
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 1526.7
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1495.8
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1460.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1456.0
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1426.6
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1413.0
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1403.4
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1399.6
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 1387.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1376.4
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1371.6
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1368.7
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1360.4
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1358.1
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1318.3
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1314.9
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1309.0
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1302.0
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1282.4
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1255.4
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1250.7
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 1243.6
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 1210.9
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 1199.6
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1188.6
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1180.2
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 1179.5
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1176.9
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 1167.9
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1167.4
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1158.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1146.6
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1119.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1115.3
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1114.1
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1109.3
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1105.6
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1070.4
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1062.8
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1051.6
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 1047.7
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1047.4
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1047.0
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1031.1
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1018.2
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1017.2
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1013.3
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 993.4
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 992.2
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 991.7
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 990.7
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 981.1
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 970.0
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 964.4
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 960.4
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 950.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 942.3
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 939.8
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 937.9
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 933.6
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 932.4
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 931.8
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 926.8
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 926.5
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 925.4
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 919.1
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 917.1
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 910.4
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 890.8
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 887.1
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 885.4
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 882.5
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 878.5
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 876.7
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 874.9
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 873.5
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 871.0
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 868.4
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 861.4
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 859.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 853.1
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 851.9
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 851.9
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 850.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 843.4
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 843.3
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 842.5
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 837.9
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 833.5
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 828.0
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 806.5
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 802.9
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 800.3
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 799.8
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 799.1
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 797.7
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 796.1
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 783.3
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 782.1
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 777.6
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 776.7
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 767.9
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 756.1
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 754.1
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 748.8
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 744.3
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 742.1
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 739.9
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 732.6
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 731.6
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 730.6
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 726.9
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 724.3
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 722.0
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 719.8
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 718.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 717.8
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 714.7
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 712.9
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 708.1
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 705.4
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 704.7
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 704.7
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 698.3
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 698.2
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 694.2
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 689.3
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 687.9
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 686.7
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 682.6
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 675.3
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 671.3
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 670.3
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 669.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 668.2
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 666.6
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 664.3
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 663.8
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 659.1
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 653.5
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 652.7
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 647.2
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 646.0
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 645.7
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 643.9
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 641.2
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 640.1
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 638.7
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 638.5
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 635.6
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 634.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 633.8
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 631.3
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 630.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 630.6
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 630.6
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 624.5
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 621.8
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 621.7
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 620.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 620.0
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 617.9
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 617.5
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 616.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 614.7
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 614.2
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 613.8
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 610.7
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 610.7
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 608.3
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 605.4
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 603.9
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 603.1
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 601.5
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 599.2
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 599.2
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 596.8
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 596.8
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 596.5
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 596.2
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 593.5
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 591.2
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 587.4
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 585.8
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 583.1
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 581.9
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 581.1
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 580.6
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 576.3
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 576.0
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 575.7
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 575.1
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 572.4
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 572.2
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 568.6
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 567.7
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 564.7
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 563.8
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 560.9
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 556.0
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 554.9
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 553.0
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 553.0
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 552.5
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 552.1
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 552.0
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 551.6
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 551.1
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 546.6
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 545.1
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 544.4
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 541.7
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 539.8
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 536.8
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 536.0
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 534.7
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 534.0
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 531.6
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 531.5
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 531.0
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 529.5
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 525.3
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 519.8
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 519.0
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 517.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 517.6
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 516.9
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 515.3
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 513.4
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 512.1
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 507.7
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 505.9
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 505.8
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 505.8
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 501.7
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 500.2
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 499.5
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 497.6
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 496.9
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 495.2
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 495.1
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 495.0
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 489.8
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 487.0
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 486.6
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 484.0
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 481.3
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 481.1
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 479.9
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 478.9
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 478.8
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 477.3
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 475.8
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 471.4
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 469.1
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 469.0
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 468.4
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 467.5
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 467.3
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 467.2
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 466.7
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 460.9
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 457.8
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 456.9
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 455.9
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 453.5
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 441.0
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 440.2
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 437.7
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 436.6
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 436.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 435.0
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 432.7
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 431.0
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 430.0
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 429.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 428.8
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 428.2
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 425.7
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 425.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 425.3
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 422.8
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 422.3
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 420.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 420.4
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 419.8
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 419.4
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 418.7
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 416.3
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 412.0
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 410.7
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 405.0
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 399.8
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 398.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 397.5
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 396.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 393.6
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 392.3
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 389.7
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 388.5
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 386.4
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 385.4
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 383.2
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 381.5
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 379.4
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 378.6
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 378.0
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 377.7
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 368.7
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 368.1
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 367.8
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 366.5
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 366.1
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 363.7
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 363.2
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 359.9
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 356.5
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 351.6
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 349.6
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 348.9
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 348.7
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 346.9
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 343.7
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 342.7
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 341.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 338.8
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 337.3
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 327.1
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 322.4
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 314.2
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 310.5
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 305.8
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 305.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 303.6
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 291.9
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 276.7
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 275.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 259.5
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 221.9
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 210.4
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 200.8
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.

RPL5 is validated prognostic, high expression is unfavorable 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.

: 1371.23
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 1052.5
Number of samples 231
Samples
Sample Description pTPM
DO45251 57 years, female, NA, stage:2, alive, 900 days 4517.9
DO50815 62 years, male, NA, stage:3, alive, 150 days 2830.1
DO45285 59 years, male, NA, stage:3, alive, 480 days 2687.3
DO50785 37 years, male, NA, stage:4, dead, 90 days 2425.1
DO45305 66 years, male, NA, stage:4, alive, 300 days 2417.9
DO45193 68 years, female, NA, stage:4, dead, 120 days 2325.7
DO48682 72 years, female, NA, stage:3, dead, 120 days 2220.8
DO45093 71 years, male, NA, stage:2, dead, 720 days 2163.5
DO45265 73 years, male, NA, stage:3, alive, 1020 days 2144.9
DO45259 65 years, male, NA, stage:3, alive, 330 days 2103.9
DO45221 75 years, female, NA, stage:4, dead, 390 days 2052.3
DO45289 78 years, female, NA, stage:3, alive, 360 days 2041.3
DO48730 73 years, female, NA, stage:2, alive, 630 days 1989.6
DO23515 71 years, male, NA, stage:2, alive, 1230 days 1955.2
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1952.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 1900.4
DO45247 31 years, female, NA, stage:2, alive, 210 days 1846.8
DO45239 42 years, male, NA, stage:2, alive, 870 days 1841.1
DO45269 59 years, male, NA, stage:3, alive, 750 days 1825.0
DO45145 78 years, male, NA, stage:3, dead, 60 days 1796.3
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1793.1
DO45287 74 years, male, NA, stage:1, alive, 390 days 1783.2
DO45303 62 years, female, NA, stage:3, alive, 990 days 1739.2
DO45249 57 years, male, NA, stage:1, alive, 630 days 1731.1
DO48723 73 years, male, NA, stage:1, alive, 600 days 1720.0
DO45189 85 years, female, NA, stage:2, alive, 1200 days 1719.6
DO45307 54 years, female, NA, stage:4, dead, 240 days 1663.6
DO45127 73 years, male, NA, stage:3, dead, 420 days 1645.5
DO45283 60 years, male, NA, stage:3, alive, 510 days 1636.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 1629.0
DO48751 68 years, male, NA, stage:2, dead, 480 days 1624.4
DO23545 67 years, male, NA, stage:2, dead, 570 days 1602.2
DO45161 74 years, male, NA, stage:2, dead, 540 days 1587.4
DO45267 73 years, male, NA, stage:3, dead, 570 days 1586.6
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1583.2
DO48706 72 years, male, NA, stage:2, alive, 870 days 1570.5
DO45273 62 years, male, NA, stage:2, alive, 480 days 1565.9
DO45277 64 years, male, NA, stage:3, alive, 600 days 1543.1
DO50806 70 years, male, NA, stage:4, alive, 540 days 1508.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1505.8
DO23537 79 years, male, NA, stage:2, dead, 900 days 1499.8
DO45191 61 years, female, NA, stage:2, alive, 1200 days 1492.5
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1484.2
DO45281 83 years, male, NA, stage:4, alive, 750 days 1479.7
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1477.3
DO48737 52 years, male, NA, stage:1, alive, 720 days 1472.5
DO48757 68 years, female, NA, stage:3, alive, 480 days 1426.7
DO50814 83 years, male, NA, stage:3, alive, 420 days 1399.2
DO45217 69 years, female, NA, stage:3, dead, 270 days 1393.7
DO45205 67 years, female, NA, stage:2, dead, 90 days 1375.7
DO50799 66 years, female, NA, stage:2, alive, 540 days 1366.8
DO50778 60 years, male, NA, stage:4, alive, 630 days 1363.7
DO45231 84 years, male, NA, stage:2, alive, 930 days 1357.7
DO48720 62 years, female, NA, stage:2, alive, 570 days 1356.3
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1353.8
DO48727 81 years, female, NA, stage:2, dead, 390 days 1348.8
DO50844 75 years, male, NA, stage:4, alive, 300 days 1347.7
DO45165 75 years, male, NA, stage:2, alive, 690 days 1342.4
DO45257 46 years, male, NA, stage:3, alive, 810 days 1338.5
DO50825 70 years, male, NA, stage:2, alive, 390 days 1318.4
DO48747 62 years, male, NA, stage:3, alive, 540 days 1317.0
DO48681 57 years, male, NA, stage:2, alive, 900 days 1315.5
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1311.6
DO23516 69 years, male, NA, stage:3, dead, 20 days 1293.2
DO50809 56 years, male, NA, stage:3, dead, 720 days 1273.6
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1270.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 1268.2
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1259.5
DO50793 76 years, male, NA, stage:4, alive, 540 days 1253.6
DO45237 58 years, male, NA, stage:2, alive, 900 days 1249.8
DO50811 62 years, male, NA, stage:1, alive, 450 days 1237.4
DO48672 81 years, male, NA, stage:2, alive, 450 days 1215.6
DO45149 70 years, female, NA, stage:2, alive, 1260 days 1202.3
DO45091 56 years, male, NA, stage:2, dead, 1320 days 1185.1
DO45185 89 years, male, NA, stage:2, alive, 600 days 1170.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1168.3
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1162.7
DO23536 56 years, male, NA, stage:2, alive, 930 days 1161.3
DO48697 64 years, female, NA, stage:2, dead, 810 days 1158.7
DO45301 56 years, male, NA, stage:2, dead, 1440 days 1148.1
DO50859 77 years, male, NA, stage:2, alive, 180 days 1132.2
DO48732 73 years, male, NA, stage:3, alive, 630 days 1131.8
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1128.5
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1115.0
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1101.1
DO50855 47 years, male, NA, stage:2, alive, 570 days 1099.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 1099.3
DO45103 47 years, male, NA, stage:3, alive, 450 days 1093.2
DO45253 50 years, male, NA, stage:2, alive, 870 days 1092.9
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1089.9
DO50791 79 years, female, NA, stage:1, dead, 480 days 1084.2
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1079.2
DO48677 58 years, male, NA, stage:3, alive, 1140 days 1074.8
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1069.7
DO45243 74 years, female, NA, stage:3, alive, 930 days 1067.9
DO45113 58 years, male, NA, stage:3, alive, 1560 days 1050.4
DO23510 80 years, female, NA, stage:2, alive, 870 days 1047.4
DO23542 66 years, male, NA, stage:3, alive, 960 days 1045.7
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1042.5
DO45119 74 years, male, NA, stage:3, dead, 510 days 1038.5
DO23508 79 years, female, NA, stage:2, alive, 390 days 1037.4
DO45179 78 years, female, NA, stage:2, alive, 600 days 1036.7
DO48741 64 years, male, NA, stage:3, alive, 240 days 1036.4
DO45201 49 years, male, NA, stage:1, alive, 900 days 1027.8
DO50822 66 years, male, NA, stage:2, alive, 510 days 1027.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1011.0
DO45155 69 years, male, NA, stage:2, alive, 2160 days 1009.5
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1005.4
DO48700 78 years, female, NA, stage:2, alive, 810 days 1003.7
DO45117 73 years, female, NA, stage:2, dead, 1110 days 998.1
DO45163 76 years, male, NA, stage:2, alive, 960 days 983.0
DO45092 62 years, male, NA, stage:4, dead, 1200 days 975.2
DO45261 74 years, male, NA, stage:3, alive, 990 days 958.3
DO45171 56 years, male, NA, stage:3, alive, 600 days 941.8
DO45143 69 years, male, NA, stage:3, alive, 1290 days 940.0
DO45275 65 years, male, NA, stage:3, dead, 10 days 931.9
DO45241 49 years, male, NA, stage:1, alive, 1080 days 915.7
DO48712 50 years, male, NA, stage:2, alive, 810 days 912.4
DO48728 74 years, female, NA, stage:2, alive, 150 days 909.2
DO45223 67 years, male, NA, stage:4, alive, 1020 days 906.1
DO23528 45 years, female, NA, stage:2, alive, 1020 days 899.9
DO48733 72 years, male, NA, stage:2, alive, 600 days 893.2
DO23547 74 years, male, NA, stage:1, alive, 1020 days 890.6
DO45211 76 years, male, NA, stage:3, alive, 240 days 877.0
DO23549 74 years, male, NA, stage:3, alive, 990 days 872.9
DO23524 71 years, female, NA, stage:2, alive, 1050 days 871.2
DO45187 32 years, female, NA, stage:1, alive, 1260 days 865.5
DO23514 64 years, male, NA, stage:2, alive, 1290 days 860.0
DO48715 58 years, female, NA, stage:2, dead, 690 days 855.5
DO50800 74 years, male, NA, stage:2, alive, 510 days 849.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 846.6
DO45183 72 years, female, NA, stage:2, dead, 570 days 843.1
DO45131 53 years, male, NA, stage:4, dead, 360 days 840.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 836.8
DO50829 78 years, male, NA, stage:3, alive, 570 days 832.9
DO48759 73 years, male, NA, stage:3, alive, 720 days 819.9
DO48736 76 years, female, NA, stage:1, alive, 600 days 819.2
DO45169 74 years, male, NA, stage:3, alive, 1350 days 816.5
DO50805 72 years, male, NA, stage:2, alive, 690 days 813.4
DO45199 86 years, female, NA, stage:2, alive, 1350 days 811.1
DO50783 62 years, male, NA, stage:3, alive, 480 days 796.7
DO50816 63 years, male, NA, stage:2, alive, 390 days 796.3
DO45115 81 years, male, NA, stage:2, alive, 840 days 782.2
DO50845 72 years, male, NA, stage:3, alive, 210 days 776.6
DO45153 77 years, female, NA, stage:2, alive, 1380 days 770.3
DO23543 63 years, male, NA, stage:2, alive, 1020 days 769.7
DO48717 54 years, male, NA, stage:4, dead, 180 days 766.4
DO48725 66 years, male, NA, stage:1, alive, 780 days 758.7
DO45233 83 years, male, NA, stage:3, alive, 900 days 757.9
DO23548 78 years, female, NA, stage:1, alive, 840 days 751.0
DO45181 84 years, female, NA, stage:2, alive, 1200 days 750.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 748.0
DO48693 71 years, male, NA, stage:2, alive, 900 days 744.9
DO23511 83 years, female, NA, stage:3, dead, 180 days 738.8
DO50804 81 years, male, NA, stage:2, alive, 720 days 729.0
DO50774 68 years, female, NA, stage:2, alive, 720 days 728.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 726.3
DO48746 76 years, male, NA, stage:3, alive, 570 days 712.2
DO45263 67 years, male, NA, stage:3, dead, 270 days 709.1
DO23534 60 years, male, NA, stage:2, alive, 840 days 708.8
DO50813 56 years, male, NA, stage:2, alive, 420 days 699.7
DO23518 67 years, male, NA, stage:2, alive, 1320 days 696.5
DO50850 74 years, male, NA, stage:3, alive, 720 days 695.8
DO50776 75 years, male, NA, stage:1, alive, 690 days 691.2
DO23529 72 years, male, NA, stage:4, alive, 930 days 687.5
DO23539 77 years, male, NA, stage:1, alive, 1110 days 686.9
DO23538 67 years, male, NA, stage:2, alive, 450 days 680.5
DO23513 76 years, male, NA, stage:3, alive, 1200 days 672.9
DO50819 72 years, female, NA, stage:2, alive, 510 days 671.1
DO45123 78 years, female, NA, stage:2, dead, 570 days 669.7
DO45229 74 years, male, NA, stage:1, alive, 990 days 667.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 666.5
DO45177 81 years, female, NA, stage:3, alive, 1260 days 664.3
DO45207 68 years, male, NA, stage:1, alive, 1050 days 664.2
DO48695 77 years, male, NA, stage:2, alive, 720 days 662.0
DO50807 67 years, male, NA, stage:1, alive, 540 days 660.8
DO45096 69 years, male, NA, stage:2, dead, 1290 days 657.9
DO227801 77 years, female, NA, stage:1, alive, 660 days 650.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 649.7
DO45109 63 years, male, NA, stage:2, alive, 1590 days 643.0
DO50817 75 years, male, NA, stage:2, alive, 390 days 628.2
DO50839 47 years, female, NA, stage:3, alive, 330 days 627.9
DO23541 65 years, male, NA, stage:2, alive, 930 days 610.8
DO45235 68 years, female, NA, stage:1, alive, 900 days 608.8
DO45125 58 years, male, NA, stage:3, alive, 1680 days 596.1
DO227643 79 years, male, NA, stage:2, alive, 1260 days 594.5
DO50787 63 years, male, NA, stage:3, alive, 480 days 592.7
DO48743 69 years, female, NA, stage:2, alive, 570 days 589.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 587.2
DO45255 81 years, male, NA, stage:3, alive, 720 days 584.2
DO45197 51 years, male, NA, stage:2, alive, 1170 days 576.0
DO45245 75 years, female, NA, stage:2, dead, 240 days 575.1
DO48704 68 years, female, NA, stage:3, alive, 750 days 570.8
DO23527 72 years, male, NA, stage:1, alive, 1050 days 568.3
DO50818 65 years, male, NA, stage:2, alive, 510 days 567.2
DO50857 72 years, male, NA, stage:2, alive, 210 days 565.2
DO23544 67 years, male, NA, stage:2, alive, 960 days 565.2
DO23531 78 years, female, NA, stage:3, alive, 900 days 564.8
DO45101 63 years, male, NA, stage:2, alive, 1680 days 561.5
DO45137 38 years, male, NA, stage:1, alive, 1320 days 560.1
DO50808 68 years, male, NA, stage:2, alive, 570 days 558.6
DO50832 73 years, male, NA, stage:3, alive, 90 days 557.4
DO45121 61 years, male, NA, stage:3, alive, 1530 days 556.0
DO50840 49 years, male, NA, stage:2, alive, 330 days 546.8
DO23517 62 years, male, NA, stage:2, alive, 1200 days 540.9
DO45133 64 years, male, NA, stage:3, dead, 660 days 533.5
DO48761 55 years, male, NA, stage:2, alive, 870 days 528.5
DO45215 65 years, male, NA, stage:2, alive, 1170 days 524.2
DO48742 76 years, male, NA, stage:2, alive, 600 days 519.0
DO48716 71 years, male, NA, stage:2, alive, 720 days 516.5
DO23535 67 years, male, NA, stage:1, alive, 960 days 503.4
DO45129 61 years, male, NA, stage:3, alive, 1470 days 501.1
DO48679 72 years, male, NA, stage:2, alive, 1200 days 483.2
DO45094 76 years, male, NA, stage:3, alive, 1650 days 479.6
DO48701 78 years, male, NA, stage:2, alive, 780 days 476.8
DO23551 73 years, male, NA, stage:3, dead, 150 days 476.8
DO50803 62 years, female, NA, stage:1, alive, 540 days 476.6
DO48674 80 years, male, NA, stage:2, alive, 1260 days 466.4
DO23532 71 years, female, NA, stage:1, alive, 960 days 445.1
DO23552 80 years, female, NA, stage:1, alive, 810 days 439.4
DO48760 70 years, female, NA, stage:2, alive, 690 days 439.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 435.4
DO45195 62 years, male, NA, stage:1, alive, 390 days 429.9
DO23512 60 years, male, NA, stage:1, alive, 1260 days 428.3
DO45111 74 years, male, NA, stage:2, alive, 1590 days 398.9
DO48721 58 years, female, NA, stage:1, alive, 900 days 397.5
DO45105 61 years, male, NA, stage:1, alive, 1680 days 396.0
DO50789 73 years, female, NA, stage:2, alive, 570 days 358.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 334.4
DO23509 60 years, male, NA, stage:3, dead, 780 days 303.4
DO45107 63 years, female, NA, stage:2, alive, 1710 days 275.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
537 Tumor 0.6
557 Tumor 0.5
1021 Tumor 0.5
327 Tumor 0.4
1027 Tumor 0.4
965 Tumor 0.4
685 Tumor 0.3
1025 Tumor 0.3
131 Tumor 0.3
545 Tumor 0.3
523 Tumor 0.3
285 Tumor 0.3
223 Tumor 0.3
527 Tumor 0.3
567 Tumor 0.3
937 Tumor 0.3
554 Normal 0.3
497 Tumor 0.3
815 Tumor 0.2
865 Tumor 0.2
535 Tumor 0.2
533 Tumor 0.2
367 Tumor 0.2
481 Tumor 0.2
524 Normal 0.2
1026 Normal 0.2
1031 Tumor 0.2
983 Tumor 0.2
1041 Tumor 0.2
661 Tumor 0.2
227 Tumor 0.2
395 Tumor 0.2
517 Tumor 0.2
981 Tumor 0.2
473 Tumor 0.2
518 Normal 0.2
957 Tumor 0.2
412 Normal 0.2
448 Normal 0.2
922 Normal 0.2
553 Tumor 0.2
918 Normal 0.2
955 Tumor 0.2
851 Tumor 0.2
515 Tumor 0.1
474 Normal 0.1
135 Tumor 0.1
696 Normal 0.1
525 Tumor 0.1
1028 Normal 0.1
393 Tumor 0.1
484 Normal 0.1
966 Normal 0.1
777 Tumor 0.1
923 Tumor 0.1
1044 Normal 0.1
926 Normal 0.1
967 Tumor 0.1
493 Tumor 0.1
516 Normal 0.1
212 Normal 0.1
817 Tumor 0.1
526 Normal 0.1
697 Tumor 0.1
483 Tumor 0.1
356 Normal 0.1
944 Normal 0.1
546 Normal 0.1
492 Normal 0.1
951 Tumor 0.1
534 Normal 0.1
1043 Tumor 0.1
514 Normal 0.1
472 Normal 0.1
968 Normal 0.1
982 Normal 0.1
528 Normal 0.1
355 Tumor 0.1
924 Normal 0.1
737 Tumor 0.1
984 Normal 0.1
715 Tumor 0.1
861 Tumor 0.1
471 Tumor 0.1
1016 Normal 0.1
617 Tumor 0.1
513 Tumor 0.1
538 Normal 0.1
536 Normal 0.1
328 Normal 0.1
727 Tumor 0.1
778 Normal 0.1
952 Normal 0.1
228 Normal 0.1
113 Tumor 0.1
284 Normal 0.1
1046 Normal 0.1
978 Normal 0.1
823 Tumor 0.1
257 Tumor 0.1
267 Tumor 0.1
916 Normal 0.1
494 Normal 0.1
743 Tumor 0.1
482 Normal 0.1
478 Normal 0.1
943 Tumor 0.0
938 Normal 0.0
416 Normal 0.0
286 Normal 0.0
915 Tumor 0.0
1015 Tumor 0.0
728 Normal 0.0
364 Normal 0.0
963 Tumor 0.0
147 Tumor 0.0
698 Normal 0.0
756 Normal 0.0
925 Tumor 0.0
864 Normal 0.0
387 Tumor 0.0
558 Normal 0.0
1014 Normal 0.0
713 Tumor 0.0
137 Tumor 0.0
211 Tumor 0.0
224 Normal 0.0
385 Tumor 0.0
415 Tumor 0.0
975 Tumor 0.0
363 Tumor 0.0
462 Normal 0.0
878 Normal 0.0
467 Tumor 0.0
1032 Normal 0.0
353 Tumor 0.0
755 Tumor 0.0
443 Tumor 0.0
488 Normal 0.0
738 Normal 0.0
411 Tumor 0.0
636 Normal 0.0
745 Tumor 0.0
877 Tumor 0.0
956 Normal 0.0
873 Tumor 0.0
785 Tumor 0.0
1022 Normal 0.0
455 Tumor 0.0
964 Normal 0.0
866 Normal 0.0
912 Normal 0.0
954 Normal 0.0
261 Tumor 0.0
447 Tumor 0.0
882 Normal 0.0
425 Tumor 0.0
142 Normal 0.0
351 Tumor 0.0
913 Tumor 0.0
572 Normal 0.0
917 Tumor 0.0
331 Tumor 0.0
413 Tumor 0.0
862 Normal 0.0
477 Tumor 0.0
1042 Normal 0.0
953 Tumor 0.0
232 Normal 0.0
231 Tumor -0.1
375 Tumor -0.1
487 Tumor -0.1
921 Tumor -0.1
724 Normal -0.1
824 Normal -0.1
714 Normal -0.1
128 Normal -0.1
746 Normal -0.1
466 Normal -0.1
816 Normal -0.1
461 Tumor -0.1
857 Tumor -0.1
283 Tumor -0.1
867 Tumor -0.1
421 Tumor -0.1
123 Tumor -0.1
874 Normal -0.1
883 Tumor -0.1
976 Normal -0.1
786 Normal -0.1
145 Tumor -0.1
958 Normal -0.1
628 Normal -0.1
695 Tumor -0.1
1013 Tumor -0.1
427 Tumor -0.1
722 Normal -0.1
342 Normal -0.1
271 Tumor -0.1
852 Normal -0.1
332 Normal -0.1
858 Normal -0.1
376 Normal -0.1
881 Tumor -0.1
744 Normal -0.1
686 Normal -0.1
721 Tumor -0.1
616 Normal -0.1
277 Tumor -0.1
742 Normal -0.1
314 Normal -0.1
136 Normal -0.1
171 Tumor -0.1
187 Tumor -0.1
433 Tumor -0.1
278 Normal -0.1
185 Tumor -0.1
977 Tumor -0.1
451 Tumor -0.1
258 Normal -0.1
344 Normal -0.1
723 Tumor -0.1
172 Normal -0.1
368 Normal -0.1
568 Normal -0.2
564 Normal -0.2
124 Normal -0.2
491 Tumor -0.2
426 Normal -0.2
214 Normal -0.2
431 Tumor -0.2
111 Normal -0.2
1045 Tumor -0.2
573 Tumor -0.2
312 Normal -0.2
914 Normal -0.2
716 Normal -0.2
272 Normal -0.2
297 Tumor -0.2
196 Normal -0.2
343 Tumor -0.2
911 Tumor -0.2
434 Normal -0.2
424 Normal -0.2
298 Normal -0.2
357 Tumor -0.2
352 Normal -0.2
186 Normal -0.2
436 Normal -0.2
813 Tumor -0.2
884 Normal -0.2
141 Tumor -0.2
452 Normal -0.2
358 Normal -0.2
341 Tumor -0.2
191 Tumor -0.2
114 Normal -0.2
161 Tumor -0.2
571 Tumor -0.2
414 Normal -0.2
422 Normal -0.2
262 Normal -0.2
498 Normal -0.2
162 Normal -0.2
618 Normal -0.2
313 Tumor -0.2
635 Tumor -0.2
384 Normal -0.2
213 Tumor -0.2
362 Normal -0.2
311 Tumor -0.2
814 Normal -0.2
445 Tumor -0.2
664 Normal -0.2
465 Tumor -0.2
868 Normal -0.2
647 Tumor -0.3
195 Tumor -0.3
662 Normal -0.3
138 Normal -0.3
132 Normal -0.3
112 Tumor -0.3
563 Tumor -0.3
392 Normal -0.3
464 Normal -0.3
218 Normal -0.3
268 Normal -0.3
221 Tumor -0.3
428 Normal -0.3
148 Normal -0.3
574 Normal -0.3
435 Tumor -0.3
648 Normal -0.3
127 Tumor -0.3
818 Normal -0.3
671 Tumor -0.3
468 Normal -0.3
463 Tumor -0.3
146 Normal -0.3
366 Normal -0.3
663 Tumor -0.3
863 Tumor -0.3
222 Normal -0.3
665 Tumor -0.3
642 Normal -0.3
365 Tumor -0.3
666 Normal -0.3
354 Normal -0.3
125 Tumor -0.3
217 Tumor -0.3
126 Normal -0.3
423 Tumor -0.3
741 Tumor -0.4
394 Normal -0.4
361 Tumor -0.4
432 Normal -0.4
456 Normal -0.4
446 Normal -0.4
188 Normal -0.4
615 Tumor -0.4
388 Normal -0.4
391 Tumor -0.4
672 Normal -0.4
386 Normal -0.4
396 Normal -0.5
444 Normal -0.5
627 Tumor -0.5
383 Tumor -0.5
641 Tumor -0.5
192 Normal -0.5
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 HPA043717
 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