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.
PRDX1
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

  • PRDX1
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.

PRDX1 is potential 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.

: 736.06
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 694.7
Number of samples 362
Samples
Sample Description pTPM
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 3874.4
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 2484.5
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 2153.8
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 2149.7
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 2009.4
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 1886.3
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1884.9
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1732.9
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1724.8
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1676.5
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1645.9
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 1641.2
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1639.4
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1600.4
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1556.8
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1520.3
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1515.9
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1514.1
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1448.9
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1426.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1424.5
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 1390.1
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1349.5
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1338.0
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1337.7
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1333.1
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1297.0
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1291.1
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1262.7
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1261.2
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1244.8
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1229.0
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1228.0
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1204.3
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1188.8
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1173.4
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 1135.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1124.4
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 1120.0
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1117.1
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1081.2
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1072.6
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1069.1
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 1065.0
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1063.9
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 1056.4
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 1037.1
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 1030.3
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1022.0
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 1008.3
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 1005.6
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 1002.5
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 997.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 996.5
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 987.0
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 986.7
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 980.5
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 979.9
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 975.7
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 973.8
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 972.2
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 968.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 961.8
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 952.9
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 951.6
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 949.9
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 940.6
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 935.8
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 935.1
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 931.5
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 930.1
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 914.7
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 914.0
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 902.8
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 896.1
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 889.9
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 888.9
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 884.5
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 878.3
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 869.9
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 867.0
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 866.8
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 865.8
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 861.8
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 861.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 856.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 854.0
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 852.7
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 851.8
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 851.5
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 849.2
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 840.8
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 839.8
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 838.2
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 837.1
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 836.1
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 828.4
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 826.9
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 824.3
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 821.1
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 818.1
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 812.8
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 810.0
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 808.0
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 801.5
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 800.4
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 798.8
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 795.9
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 791.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 791.0
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 789.0
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 788.2
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 778.5
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 776.0
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 767.1
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 766.3
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 765.7
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 764.8
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 760.4
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 759.1
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 758.3
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 756.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 755.2
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 753.1
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 752.9
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 750.7
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 748.9
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 743.2
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 741.6
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 736.5
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 736.1
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 736.0
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 727.3
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 716.5
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 712.5
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 710.8
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 703.2
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 702.1
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 701.2
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 698.9
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 698.9
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 698.1
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 697.4
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 694.2
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 693.7
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 687.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 685.4
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 683.2
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 682.5
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 682.3
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 680.0
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 676.5
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 673.1
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 667.1
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 663.0
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 662.9
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 661.4
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 660.0
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 659.3
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 654.9
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 654.8
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 649.9
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 649.1
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 646.3
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 645.9
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 640.6
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 638.4
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 636.7
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 635.1
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 633.8
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 633.3
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 631.6
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 631.4
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 628.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 628.9
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 628.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 624.2
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 624.1
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 621.0
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 618.7
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 615.1
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 615.0
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 612.6
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 608.2
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 603.4
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 603.2
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 598.2
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 598.1
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 596.6
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 595.5
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 594.1
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 592.1
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 590.2
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 588.4
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 583.6
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 581.8
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 581.6
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 579.5
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 576.3
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 576.1
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 570.7
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 563.8
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 563.5
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 562.5
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 555.6
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 554.7
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 554.1
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 553.0
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 552.0
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 551.7
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 551.4
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 546.8
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 542.8
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 541.6
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 540.0
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 538.1
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 537.8
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 537.8
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 536.5
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 536.2
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 535.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 535.7
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 532.7
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 529.4
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 526.2
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 525.4
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 524.5
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 520.1
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 519.4
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 519.2
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 516.5
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 516.1
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 515.6
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 515.2
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 514.5
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 510.5
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 510.4
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 503.0
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 501.3
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 500.0
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 496.3
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 494.1
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 493.5
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 492.2
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 491.2
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 489.9
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 488.5
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 488.1
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 485.6
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 481.8
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 476.3
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 475.4
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 474.3
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 472.8
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 470.6
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 466.8
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 466.6
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 463.7
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 461.3
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 460.4
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 460.3
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 458.9
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 456.2
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 455.6
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 455.5
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 451.7
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 451.5
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 443.4
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 442.1
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 441.2
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 436.0
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 434.9
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 433.9
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 432.9
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 429.2
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 423.4
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 422.7
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 422.6
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 421.5
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 420.2
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 417.3
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 412.9
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 411.6
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 409.7
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 406.4
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 401.1
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 397.9
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 395.5
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 393.9
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 391.8
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 390.5
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 388.7
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 388.1
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 385.4
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 381.3
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 381.0
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 379.7
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 379.6
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 377.4
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 370.6
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 369.9
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 369.5
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 356.6
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 353.0
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 353.0
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 350.7
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 345.7
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 343.2
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 341.5
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 335.8
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 334.3
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 332.8
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 332.5
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 328.4
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 328.2
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 327.8
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 326.0
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 321.0
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 320.2
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 320.2
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 319.6
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 318.9
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 317.3
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 315.8
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 306.8
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 303.9
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 295.6
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 295.1
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 295.0
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 288.0
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 285.7
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 283.7
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 279.2
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 276.2
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 274.0
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 273.0
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 272.0
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 271.3
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 266.9
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 266.2
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 261.6
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 255.1
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 253.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 250.6
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 249.4
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 248.0
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 247.9
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 242.8
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 238.0
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 233.2
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 231.7
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 227.7
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 220.6
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 219.7
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 215.2
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 199.3
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 198.9
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 188.9
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 187.3
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 180.5
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 164.6
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 121.9
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.

PRDX1 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.

: 787.76
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 840.0
Number of samples 231
Samples
Sample Description pTPM
DO45145 78 years, male, NA, stage:3, dead, 60 days 2968.7
DO23519 65 years, male, NA, stage:3, alive, 630 days 2547.9
DO45267 73 years, male, NA, stage:3, dead, 570 days 2165.4
DO45245 75 years, female, NA, stage:2, dead, 240 days 1910.7
DO45299 70 years, female, NA, stage:1, alive, 1440 days 1854.9
DO48741 64 years, male, NA, stage:3, alive, 240 days 1853.8
DO45211 76 years, male, NA, stage:3, alive, 240 days 1798.8
DO45297 61 years, female, NA, stage:4, dead, 1260 days 1771.3
DO50825 70 years, male, NA, stage:2, alive, 390 days 1717.7
DO45221 75 years, female, NA, stage:4, dead, 390 days 1685.1
DO45277 64 years, male, NA, stage:3, alive, 600 days 1649.9
DO50791 79 years, female, NA, stage:1, dead, 480 days 1646.4
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1579.7
DO45093 71 years, male, NA, stage:2, dead, 720 days 1536.8
DO45205 67 years, female, NA, stage:2, dead, 90 days 1514.7
DO23508 79 years, female, NA, stage:2, alive, 390 days 1489.8
DO50799 66 years, female, NA, stage:2, alive, 540 days 1473.7
DO45163 76 years, male, NA, stage:2, alive, 960 days 1466.7
DO45257 46 years, male, NA, stage:3, alive, 810 days 1416.2
DO45287 74 years, male, NA, stage:1, alive, 390 days 1397.6
DO23539 77 years, male, NA, stage:1, alive, 1110 days 1380.1
DO48757 68 years, female, NA, stage:3, alive, 480 days 1365.0
DO45225 69 years, male, NA, stage:1, alive, 1050 days 1357.0
DO50778 60 years, male, NA, stage:4, alive, 630 days 1339.8
DO48700 78 years, female, NA, stage:2, alive, 810 days 1313.0
DO50832 73 years, male, NA, stage:3, alive, 90 days 1304.8
DO45281 83 years, male, NA, stage:4, alive, 750 days 1294.0
DO45143 69 years, male, NA, stage:3, alive, 1290 days 1277.2
DO50829 78 years, male, NA, stage:3, alive, 570 days 1267.8
DO45253 50 years, male, NA, stage:2, alive, 870 days 1264.0
DO50806 70 years, male, NA, stage:4, alive, 540 days 1259.9
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1255.3
DO50840 49 years, male, NA, stage:2, alive, 330 days 1248.0
DO23537 79 years, male, NA, stage:2, dead, 900 days 1240.8
DO50822 66 years, male, NA, stage:2, alive, 510 days 1238.9
DO23510 80 years, female, NA, stage:2, alive, 870 days 1235.4
DO50802 49 years, male, NA, stage:2, alive, 930 days 1232.0
DO48704 68 years, female, NA, stage:3, alive, 750 days 1207.0
DO23552 80 years, female, NA, stage:1, alive, 810 days 1192.9
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1182.3
DO50776 75 years, male, NA, stage:1, alive, 690 days 1173.8
DO50814 83 years, male, NA, stage:3, alive, 420 days 1172.0
DO50839 47 years, female, NA, stage:3, alive, 330 days 1164.6
DO48723 73 years, male, NA, stage:1, alive, 600 days 1163.4
DO45249 57 years, male, NA, stage:1, alive, 630 days 1129.8
DO45127 73 years, male, NA, stage:3, dead, 420 days 1125.8
DO45269 59 years, male, NA, stage:3, alive, 750 days 1120.3
DO45171 56 years, male, NA, stage:3, alive, 600 days 1119.5
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1110.9
DO48747 62 years, male, NA, stage:3, alive, 540 days 1101.1
DO50805 72 years, male, NA, stage:2, alive, 690 days 1100.0
DO23542 66 years, male, NA, stage:3, alive, 960 days 1095.0
DO48720 62 years, female, NA, stage:2, alive, 570 days 1081.3
DO23518 67 years, male, NA, stage:2, alive, 1320 days 1081.2
DO50818 65 years, male, NA, stage:2, alive, 510 days 1081.2
DO45165 75 years, male, NA, stage:2, alive, 690 days 1074.9
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1068.0
DO50815 62 years, male, NA, stage:3, alive, 150 days 1066.0
DO45235 68 years, female, NA, stage:1, alive, 900 days 1060.5
DO48732 73 years, male, NA, stage:3, alive, 630 days 1051.6
DO45123 78 years, female, NA, stage:2, dead, 570 days 1051.4
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1050.3
DO23549 74 years, male, NA, stage:3, alive, 990 days 1031.9
DO48695 77 years, male, NA, stage:2, alive, 720 days 1029.5
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1026.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 1021.4
DO50811 62 years, male, NA, stage:1, alive, 450 days 1019.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 1012.2
DO23533 61 years, male, NA, stage:2, alive, 900 days 1009.8
DO50808 68 years, male, NA, stage:2, alive, 570 days 1007.6
DO50783 62 years, male, NA, stage:3, alive, 480 days 999.7
DO45185 89 years, male, NA, stage:2, alive, 600 days 998.9
DO45092 62 years, male, NA, stage:4, dead, 1200 days 986.8
DO23514 64 years, male, NA, stage:2, alive, 1290 days 986.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 982.0
DO45095 66 years, male, NA, stage:2, alive, 1620 days 980.1
DO45097 69 years, male, NA, stage:3, alive, 1620 days 978.5
DO23509 60 years, male, NA, stage:3, dead, 780 days 977.2
DO45193 68 years, female, NA, stage:4, dead, 120 days 970.5
DO45273 62 years, male, NA, stage:2, alive, 480 days 965.3
DO45129 61 years, male, NA, stage:3, alive, 1470 days 953.9
DO23525 71 years, male, NA, stage:4, alive, 1050 days 950.9
DO50809 56 years, male, NA, stage:3, dead, 720 days 937.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 922.1
DO50787 63 years, male, NA, stage:3, alive, 480 days 915.7
DO45135 77 years, male, NA, stage:1, alive, 1410 days 915.1
DO50785 37 years, male, NA, stage:4, dead, 90 days 914.4
DO48751 68 years, male, NA, stage:2, dead, 480 days 910.2
DO23513 76 years, male, NA, stage:3, alive, 1200 days 905.8
DO45157 62 years, male, NA, stage:2, alive, 1980 days 896.9
DO45301 56 years, male, NA, stage:2, dead, 1440 days 895.5
DO48672 81 years, male, NA, stage:2, alive, 450 days 895.4
DO45307 54 years, female, NA, stage:4, dead, 240 days 892.7
DO23541 65 years, male, NA, stage:2, alive, 930 days 884.4
DO50798 77 years, male, NA, stage:3, dead, 30 days 870.0
DO45155 69 years, male, NA, stage:2, alive, 2160 days 865.8
DO45149 70 years, female, NA, stage:2, alive, 1260 days 859.6
DO45119 74 years, male, NA, stage:3, dead, 510 days 852.2
DO50803 62 years, female, NA, stage:1, alive, 540 days 849.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 848.4
DO45275 65 years, male, NA, stage:3, dead, 10 days 845.1
DO48679 72 years, male, NA, stage:2, alive, 1200 days 832.7
DO50819 72 years, female, NA, stage:2, alive, 510 days 831.7
DO45161 74 years, male, NA, stage:2, dead, 540 days 830.5
DO23546 63 years, male, NA, stage:2, alive, 1050 days 823.8
DO50807 67 years, male, NA, stage:1, alive, 540 days 823.6
DO23547 74 years, male, NA, stage:1, alive, 1020 days 821.4
DO50813 56 years, male, NA, stage:2, alive, 420 days 803.7
DO48682 72 years, female, NA, stage:3, dead, 120 days 803.0
DO48728 74 years, female, NA, stage:2, alive, 150 days 797.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 797.6
DO45217 69 years, female, NA, stage:3, dead, 270 days 796.2
DO23529 72 years, male, NA, stage:4, alive, 930 days 793.4
DO48716 71 years, male, NA, stage:2, alive, 720 days 788.4
DO48717 54 years, male, NA, stage:4, dead, 180 days 787.8
DO45229 74 years, male, NA, stage:1, alive, 990 days 786.8
DO48761 55 years, male, NA, stage:2, alive, 870 days 779.0
DO50845 72 years, male, NA, stage:3, alive, 210 days 773.3
DO45207 68 years, male, NA, stage:1, alive, 1050 days 765.0
DO23527 72 years, male, NA, stage:1, alive, 1050 days 763.0
DO48737 52 years, male, NA, stage:1, alive, 720 days 750.7
DO23543 63 years, male, NA, stage:2, alive, 1020 days 739.9
DO45237 58 years, male, NA, stage:2, alive, 900 days 736.9
DO45265 73 years, male, NA, stage:3, alive, 1020 days 735.9
DO45261 74 years, male, NA, stage:3, alive, 990 days 734.8
DO45223 67 years, male, NA, stage:4, alive, 1020 days 732.1
DO50800 74 years, male, NA, stage:2, alive, 510 days 731.0
DO227801 77 years, female, NA, stage:1, alive, 660 days 719.3
DO23545 67 years, male, NA, stage:2, dead, 570 days 712.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 708.5
DO45113 58 years, male, NA, stage:3, alive, 1560 days 703.1
DO45243 74 years, female, NA, stage:3, alive, 930 days 695.6
DO50804 81 years, male, NA, stage:2, alive, 720 days 695.2
DO23536 56 years, male, NA, stage:2, alive, 930 days 691.5
DO23511 83 years, female, NA, stage:3, dead, 180 days 688.5
DO48742 76 years, male, NA, stage:2, alive, 600 days 685.1
DO48727 81 years, female, NA, stage:2, dead, 390 days 684.2
DO50850 74 years, male, NA, stage:3, alive, 720 days 683.9
DO45094 76 years, male, NA, stage:3, alive, 1650 days 681.1
DO48730 73 years, female, NA, stage:2, alive, 630 days 675.8
DO50793 76 years, male, NA, stage:4, alive, 540 days 648.2
DO23548 78 years, female, NA, stage:1, alive, 840 days 645.3
DO23550 69 years, male, NA, stage:1, alive, 990 days 644.7
DO45263 67 years, male, NA, stage:3, dead, 270 days 643.8
DO45131 53 years, male, NA, stage:4, dead, 360 days 639.9
DO48677 58 years, male, NA, stage:3, alive, 1140 days 636.9
DO23535 67 years, male, NA, stage:1, alive, 960 days 628.3
DO48706 72 years, male, NA, stage:2, alive, 870 days 624.1
DO23524 71 years, female, NA, stage:2, alive, 1050 days 622.1
DO45117 73 years, female, NA, stage:2, dead, 1110 days 620.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 616.3
DO45141 73 years, male, NA, stage:2, alive, 1320 days 603.8
DO45197 51 years, male, NA, stage:2, alive, 1170 days 599.0
DO48701 78 years, male, NA, stage:2, alive, 780 days 594.5
DO45201 49 years, male, NA, stage:1, alive, 900 days 593.7
DO48743 69 years, female, NA, stage:2, alive, 570 days 592.8
DO45177 81 years, female, NA, stage:3, alive, 1260 days 589.4
DO45203 71 years, female, NA, stage:2, alive, 1170 days 587.6
DO45169 74 years, male, NA, stage:3, alive, 1350 days 583.8
DO50859 77 years, male, NA, stage:2, alive, 180 days 571.6
DO23534 60 years, male, NA, stage:2, alive, 840 days 571.6
DO45199 86 years, female, NA, stage:2, alive, 1350 days 571.2
DO45105 61 years, male, NA, stage:1, alive, 1680 days 569.9
DO45191 61 years, female, NA, stage:2, alive, 1200 days 569.7
DO45213 58 years, male, NA, stage:1, alive, 1200 days 560.1
DO23530 53 years, male, NA, stage:4, dead, 180 days 553.9
DO45091 56 years, male, NA, stage:2, dead, 1320 days 553.4
DO50774 68 years, female, NA, stage:2, alive, 720 days 553.1
DO45255 81 years, male, NA, stage:3, alive, 720 days 549.5
DO48725 66 years, male, NA, stage:1, alive, 780 days 542.5
DO48721 58 years, female, NA, stage:1, alive, 900 days 540.8
DO23516 69 years, male, NA, stage:3, dead, 20 days 533.7
DO45109 63 years, male, NA, stage:2, alive, 1590 days 527.6
DO48746 76 years, male, NA, stage:3, alive, 570 days 522.0
DO45241 49 years, male, NA, stage:1, alive, 1080 days 521.3
DO45259 65 years, male, NA, stage:3, alive, 330 days 516.7
DO45153 77 years, female, NA, stage:2, alive, 1380 days 516.6
DO48681 57 years, male, NA, stage:2, alive, 900 days 507.0
DO45227 57 years, female, NA, stage:2, alive, 1020 days 502.6
DO45283 60 years, male, NA, stage:3, alive, 510 days 489.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 485.6
DO45303 62 years, female, NA, stage:3, alive, 990 days 478.3
DO45233 83 years, male, NA, stage:3, alive, 900 days 472.9
DO45179 78 years, female, NA, stage:2, alive, 600 days 467.7
DO45181 84 years, female, NA, stage:2, alive, 1200 days 462.4
DO45101 63 years, male, NA, stage:2, alive, 1680 days 455.5
DO23531 78 years, female, NA, stage:3, alive, 900 days 453.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 451.7
DO23515 71 years, male, NA, stage:2, alive, 1230 days 450.9
DO48693 71 years, male, NA, stage:2, alive, 900 days 447.1
DO45285 59 years, male, NA, stage:3, alive, 480 days 445.0
DO45215 65 years, male, NA, stage:2, alive, 1170 days 440.8
DO227643 79 years, male, NA, stage:2, alive, 1260 days 436.9
DO45137 38 years, male, NA, stage:1, alive, 1320 days 428.4
DO48674 80 years, male, NA, stage:2, alive, 1260 days 427.8
DO45115 81 years, male, NA, stage:2, alive, 840 days 426.5
DO23512 60 years, male, NA, stage:1, alive, 1260 days 423.0
DO45289 78 years, female, NA, stage:3, alive, 360 days 422.8
DO45125 58 years, male, NA, stage:3, alive, 1680 days 421.3
DO45107 63 years, female, NA, stage:2, alive, 1710 days 421.2
DO48733 72 years, male, NA, stage:2, alive, 600 days 421.1
DO45305 66 years, male, NA, stage:4, alive, 300 days 419.1
DO50816 63 years, male, NA, stage:2, alive, 390 days 405.2
DO50844 75 years, male, NA, stage:4, alive, 300 days 405.0
DO48736 76 years, female, NA, stage:1, alive, 600 days 404.6
DO45209 70 years, male, NA, stage:4, alive, 1350 days 401.7
DO23532 71 years, female, NA, stage:1, alive, 960 days 401.0
DO45231 84 years, male, NA, stage:2, alive, 930 days 398.2
DO45279 67 years, male, NA, stage:3, alive, 1290 days 396.5
DO48715 58 years, female, NA, stage:2, dead, 690 days 386.4
DO23551 73 years, male, NA, stage:3, dead, 150 days 377.4
DO45096 69 years, male, NA, stage:2, dead, 1290 days 375.2
DO45247 31 years, female, NA, stage:2, alive, 210 days 373.1
DO50857 72 years, male, NA, stage:2, alive, 210 days 370.8
DO45251 57 years, female, NA, stage:2, alive, 900 days 363.1
DO45121 61 years, male, NA, stage:3, alive, 1530 days 359.3
DO48760 70 years, female, NA, stage:2, alive, 690 days 358.0
DO50817 75 years, male, NA, stage:2, alive, 390 days 350.1
DO45187 32 years, female, NA, stage:1, alive, 1260 days 346.7
DO23544 67 years, male, NA, stage:2, alive, 960 days 327.2
DO23528 45 years, female, NA, stage:2, alive, 1020 days 322.9
DO50789 73 years, female, NA, stage:2, alive, 570 days 322.1
DO23538 67 years, male, NA, stage:2, alive, 450 days 320.9
DO45195 62 years, male, NA, stage:1, alive, 390 days 312.1
DO50855 47 years, male, NA, stage:2, alive, 570 days 296.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 295.0
DO23517 62 years, male, NA, stage:2, alive, 1200 days 287.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 261.5
DO45189 85 years, female, NA, stage:2, alive, 1200 days 256.1
DO50820 77 years, female, NA, stage:3, alive, 510 days 235.5
DO45239 42 years, male, NA, stage:2, alive, 870 days 234.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
741 Tumor 0.9
537 Tumor 0.9
1027 Tumor 0.9
1013 Tumor 0.8
1021 Tumor 0.5
573 Tumor 0.5
745 Tumor 0.5
957 Tumor 0.4
482 Normal 0.4
525 Tumor 0.4
571 Tumor 0.4
742 Normal 0.4
1026 Normal 0.4
911 Tumor 0.4
867 Tumor 0.4
698 Normal 0.4
723 Tumor 0.3
481 Tumor 0.3
714 Normal 0.3
161 Tumor 0.3
477 Tumor 0.3
484 Normal 0.3
964 Normal 0.3
824 Normal 0.3
938 Normal 0.3
858 Normal 0.3
472 Normal 0.3
878 Normal 0.3
1046 Normal 0.3
1022 Normal 0.3
546 Normal 0.3
914 Normal 0.3
956 Normal 0.3
663 Tumor 0.3
738 Normal 0.3
883 Tumor 0.3
818 Normal 0.3
695 Tumor 0.3
488 Normal 0.3
862 Normal 0.3
1044 Normal 0.3
356 Normal 0.3
534 Normal 0.3
952 Normal 0.2
696 Normal 0.2
462 Normal 0.2
882 Normal 0.2
355 Tumor 0.2
1014 Normal 0.2
778 Normal 0.2
951 Tumor 0.2
966 Normal 0.2
925 Tumor 0.2
944 Normal 0.2
448 Normal 0.2
518 Normal 0.2
744 Normal 0.2
515 Tumor 0.2
228 Normal 0.2
412 Normal 0.2
1016 Normal 0.2
864 Normal 0.2
196 Normal 0.2
411 Tumor 0.2
516 Normal 0.2
364 Normal 0.2
128 Normal 0.2
212 Normal 0.2
982 Normal 0.2
976 Normal 0.2
922 Normal 0.2
746 Normal 0.2
617 Tumor 0.2
926 Normal 0.2
186 Normal 0.2
123 Tumor 0.2
728 Normal 0.2
722 Normal 0.2
978 Normal 0.2
955 Tumor 0.2
816 Normal 0.2
1042 Normal 0.2
866 Normal 0.1
958 Normal 0.1
514 Normal 0.1
923 Tumor 0.1
513 Tumor 0.1
222 Normal 0.1
924 Normal 0.1
436 Normal 0.1
328 Normal 0.1
857 Tumor 0.1
416 Normal 0.1
465 Tumor 0.1
261 Tumor 0.1
142 Normal 0.1
528 Normal 0.1
391 Tumor 0.1
494 Normal 0.1
756 Normal 0.1
327 Tumor 0.1
474 Normal 0.1
863 Tumor 0.1
431 Tumor 0.1
874 Normal 0.1
526 Normal 0.1
724 Normal 0.1
376 Normal 0.1
387 Tumor 0.1
478 Normal 0.1
912 Normal 0.1
298 Normal 0.1
618 Normal 0.1
493 Tumor 0.1
918 Normal 0.1
314 Normal 0.1
666 Normal 0.1
554 Normal 0.1
616 Normal 0.1
953 Tumor 0.1
1045 Tumor 0.1
1032 Normal 0.1
483 Tumor 0.1
686 Normal 0.1
452 Normal 0.1
568 Normal 0.1
284 Normal 0.1
172 Normal 0.1
954 Normal 0.1
354 Normal 0.1
415 Tumor 0.1
414 Normal 0.1
664 Normal 0.1
1028 Normal 0.1
286 Normal 0.1
332 Normal 0.1
572 Normal 0.0
353 Tumor 0.0
358 Normal 0.0
865 Tumor 0.0
648 Normal 0.0
538 Normal 0.0
968 Normal 0.0
162 Normal 0.0
432 Normal 0.0
916 Normal 0.0
868 Normal 0.0
567 Tumor 0.0
721 Tumor 0.0
422 Normal 0.0
984 Normal 0.0
257 Tumor 0.0
884 Normal 0.0
965 Tumor 0.0
498 Normal 0.0
487 Tumor 0.0
466 Normal 0.0
716 Normal 0.0
148 Normal 0.0
628 Normal 0.0
394 Normal 0.0
661 Tumor 0.0
456 Normal 0.0
112 Tumor 0.0
224 Normal 0.0
615 Tumor 0.0
777 Tumor 0.0
424 Normal 0.0
428 Normal 0.0
191 Tumor 0.0
113 Tumor 0.0
262 Normal 0.0
362 Normal 0.0
146 Normal 0.0
852 Normal 0.0
461 Tumor 0.0
388 Normal 0.0
423 Tumor 0.0
136 Normal 0.0
647 Tumor 0.0
214 Normal 0.0
558 Normal 0.0
873 Tumor -0.1
915 Tumor -0.1
258 Normal -0.1
141 Tumor -0.1
1041 Tumor -0.1
272 Normal -0.1
662 Normal -0.1
342 Normal -0.1
185 Tumor -0.1
111 Normal -0.1
564 Normal -0.1
132 Normal -0.1
231 Tumor -0.1
861 Tumor -0.1
685 Tumor -0.1
786 Normal -0.1
426 Normal -0.1
527 Tumor -0.1
312 Normal -0.1
636 Normal -0.1
344 Normal -0.1
366 Normal -0.1
435 Tumor -0.1
211 Tumor -0.1
574 Normal -0.1
145 Tumor -0.1
492 Normal -0.1
395 Tumor -0.1
352 Normal -0.1
368 Normal -0.1
642 Normal -0.1
977 Tumor -0.1
524 Normal -0.1
188 Normal -0.1
755 Tumor -0.1
386 Normal -0.1
427 Tumor -0.1
384 Normal -0.1
533 Tumor -0.1
363 Tumor -0.1
434 Normal -0.1
535 Tumor -0.2
396 Normal -0.2
278 Normal -0.2
137 Tumor -0.2
464 Normal -0.2
218 Normal -0.2
563 Tumor -0.2
267 Tumor -0.2
446 Normal -0.2
232 Normal -0.2
114 Normal -0.2
124 Normal -0.2
392 Normal -0.2
851 Tumor -0.2
536 Normal -0.2
713 Tumor -0.2
672 Normal -0.2
147 Tumor -0.2
627 Tumor -0.2
468 Normal -0.2
1025 Tumor -0.2
367 Tumor -0.2
138 Normal -0.2
135 Tumor -0.2
313 Tumor -0.2
433 Tumor -0.2
127 Tumor -0.2
223 Tumor -0.2
217 Tumor -0.3
823 Tumor -0.3
361 Tumor -0.3
297 Tumor -0.3
557 Tumor -0.3
1015 Tumor -0.3
375 Tumor -0.3
913 Tumor -0.3
545 Tumor -0.3
737 Tumor -0.3
192 Normal -0.3
421 Tumor -0.3
444 Normal -0.3
171 Tumor -0.3
963 Tumor -0.3
727 Tumor -0.3
311 Tumor -0.3
357 Tumor -0.3
814 Normal -0.4
785 Tumor -0.4
635 Tumor -0.4
917 Tumor -0.4
451 Tumor -0.4
126 Normal -0.4
445 Tumor -0.4
497 Tumor -0.4
341 Tumor -0.4
283 Tumor -0.4
413 Tumor -0.4
213 Tumor -0.4
943 Tumor -0.4
425 Tumor -0.4
268 Normal -0.4
195 Tumor -0.4
697 Tumor -0.4
467 Tumor -0.5
473 Tumor -0.5
393 Tumor -0.5
443 Tumor -0.5
447 Tumor -0.5
187 Tumor -0.5
491 Tumor -0.5
277 Tumor -0.5
817 Tumor -0.5
1043 Tumor -0.5
385 Tumor -0.5
813 Tumor -0.5
1031 Tumor -0.5
455 Tumor -0.5
383 Tumor -0.5
125 Tumor -0.6
937 Tumor -0.6
471 Tumor -0.6
881 Tumor -0.6
365 Tumor -0.6
351 Tumor -0.6
715 Tumor -0.6
981 Tumor -0.6
227 Tumor -0.6
517 Tumor -0.6
131 Tumor -0.6
343 Tumor -0.6
975 Tumor -0.6
983 Tumor -0.7
921 Tumor -0.7
221 Tumor -0.7
523 Tumor -0.7
463 Tumor -0.8
665 Tumor -0.8
331 Tumor -0.8
271 Tumor -0.8
815 Tumor -0.9
553 Tumor -0.9
877 Tumor -0.9
641 Tumor -0.9
967 Tumor -1.0
743 Tumor -1.0
671 Tumor -1.2
285 Tumor -1.2
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 HPA007730

Antibody CAB004682
 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