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.
CD74
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

  • CD74
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.

CD74 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1783.74
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 1356.1
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 12553.6
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 11211.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 9891.5
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 8076.1
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 7104.2
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 6832.9
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 6823.4
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 6378.8
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 6174.4
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 5755.8
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 5304.4
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 5278.6
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 5263.0
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 5092.3
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 5043.3
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 5042.0
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 4634.2
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 4548.8
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 4520.5
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 4385.0
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 4167.3
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 3971.0
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 3966.4
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 3867.4
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 3712.9
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 3668.8
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 3593.5
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 3529.9
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 3286.8
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 3176.6
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 3130.5
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 3084.9
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 2969.4
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 2957.2
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 2946.6
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 2921.3
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 2896.8
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 2876.3
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 2737.2
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 2700.6
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 2699.4
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 2619.6
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 2605.3
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 2558.8
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 2546.0
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 2531.6
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 2481.4
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 2477.9
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 2472.0
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 2456.9
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 2412.2
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 2344.2
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 2327.0
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 2322.9
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 2268.7
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 2235.5
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 2221.7
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 2201.3
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 2197.0
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 2187.1
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 2177.2
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 2152.8
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 2112.3
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 2084.1
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 1993.8
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 1979.0
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 1959.2
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 1943.3
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 1935.5
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 1912.9
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1868.9
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 1864.4
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 1825.8
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1818.5
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1783.7
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 1778.9
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 1772.6
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1771.6
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1748.8
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 1737.6
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1718.0
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 1708.2
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 1690.8
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1662.8
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1653.6
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1638.6
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1633.3
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 1630.2
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 1626.7
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1625.4
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 1625.0
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 1612.0
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 1605.5
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1592.7
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 1584.9
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 1584.0
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1575.5
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 1555.8
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 1523.2
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 1518.5
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1515.6
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1499.5
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1499.5
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 1491.4
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 1486.7
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 1484.2
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 1475.5
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 1474.3
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 1435.9
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 1405.2
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1402.9
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 1401.6
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1380.8
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 1378.0
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1371.4
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 1352.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1351.0
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 1333.4
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1311.5
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 1288.1
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 1280.2
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1276.0
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1262.2
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 1261.4
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 1257.8
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 1254.9
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 1246.5
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 1236.4
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 1236.1
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 1223.1
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1201.3
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 1193.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1190.7
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 1172.1
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 1167.4
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 1128.7
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 1127.1
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 1124.4
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 1124.2
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 1123.0
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 1120.9
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1116.8
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 1116.6
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 1098.9
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1086.9
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 1077.8
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 1058.7
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 1057.0
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 1054.1
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1036.3
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1033.2
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 1029.0
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1028.9
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 1028.3
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 1011.0
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 1009.8
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1009.8
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1009.1
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 1009.0
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 987.3
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 982.1
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 977.8
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 977.8
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 969.0
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 966.9
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 964.3
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 954.5
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 934.5
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 921.4
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 915.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 912.1
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 903.6
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 897.5
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 885.6
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 872.2
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 871.3
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 867.5
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 866.4
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 863.8
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 851.2
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 845.7
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 845.5
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 844.4
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 842.4
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 839.5
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 839.3
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 839.0
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 831.2
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 824.8
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 820.9
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 816.3
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 807.5
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 807.5
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 801.6
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 796.8
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 796.6
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 793.1
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 792.6
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 791.0
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 789.5
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 789.5
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 784.6
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 781.5
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 778.7
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 778.4
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 775.1
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 774.9
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 767.6
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 765.5
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 748.0
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 743.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 743.1
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 738.4
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 736.0
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 735.4
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 734.4
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 730.0
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 728.4
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 708.2
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 683.4
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 682.4
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 669.3
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 669.2
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 667.6
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 660.9
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 656.7
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 654.6
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 637.0
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 630.5
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 630.0
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 620.2
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 617.2
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 615.1
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 612.3
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 612.0
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 602.1
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 597.4
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 591.3
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 588.8
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 562.8
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 560.0
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 559.1
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 557.8
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 557.0
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 554.3
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 554.3
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 523.9
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 516.2
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 514.9
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 513.7
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 511.9
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 510.9
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 501.0
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 497.4
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 489.5
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 487.8
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 482.2
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 479.1
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 476.4
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 464.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 460.7
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 459.0
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 450.2
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 449.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 442.8
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 440.8
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 437.9
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 437.0
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 430.9
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 429.8
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 428.6
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 426.8
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 421.8
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 421.0
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 419.8
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 417.0
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 410.2
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 407.2
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 405.2
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 404.1
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 399.3
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 399.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 397.8
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 390.9
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 390.7
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 385.3
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 384.3
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 382.5
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 370.9
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 368.3
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 364.1
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 360.5
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 358.5
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 357.9
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 357.6
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 350.3
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 346.9
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 331.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 326.3
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 324.3
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 319.9
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 314.6
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 312.9
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 312.8
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 310.7
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 304.4
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 303.0
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 300.8
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 290.6
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 289.9
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 289.4
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 289.3
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 286.5
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 286.5
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 284.0
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 282.0
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 278.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 277.6
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 277.5
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 274.3
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 272.0
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 271.5
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 270.2
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 270.0
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 270.0
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 268.2
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 265.9
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 265.3
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 258.8
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 254.7
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 252.2
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 251.4
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 244.8
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 243.2
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 242.6
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 242.4
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 235.8
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 216.6
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 215.5
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 200.4
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 194.4
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 193.7
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 184.7
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 183.5
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 181.7
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 179.4
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 175.7
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 173.8
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 172.3
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 171.0
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 168.1
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 165.5
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 141.5
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 127.9
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 120.9
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 119.9
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 115.6
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 109.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 99.8
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 99.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 73.3
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 65.4
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.

CD74 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.

: 1736.17
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 2645.3
Number of samples 231
Samples
Sample Description pTPM
DO23549 74 years, male, NA, stage:3, alive, 990 days 25370.4
DO45277 64 years, male, NA, stage:3, alive, 600 days 19572.2
DO23523 52 years, male, NA, stage:3, alive, 1080 days 18163.9
DO45287 74 years, male, NA, stage:1, alive, 390 days 17018.7
DO23547 74 years, male, NA, stage:1, alive, 1020 days 13865.7
DO50803 62 years, female, NA, stage:1, alive, 540 days 11408.5
DO50829 78 years, male, NA, stage:3, alive, 570 days 11191.9
DO45245 75 years, female, NA, stage:2, dead, 240 days 9543.0
DO23530 53 years, male, NA, stage:4, dead, 180 days 9246.5
DO48747 62 years, male, NA, stage:3, alive, 540 days 9133.5
DO45159 65 years, male, NA, stage:3, alive, 1470 days 8959.5
DO45307 54 years, female, NA, stage:4, dead, 240 days 7838.8
DO45235 68 years, female, NA, stage:1, alive, 900 days 7201.3
DO48732 73 years, male, NA, stage:3, alive, 630 days 7085.1
DO23514 64 years, male, NA, stage:2, alive, 1290 days 6771.1
DO45139 63 years, male, NA, stage:3, alive, 1320 days 6770.1
DO48728 74 years, female, NA, stage:2, alive, 150 days 6571.8
DO45249 57 years, male, NA, stage:1, alive, 630 days 6455.7
DO227801 77 years, female, NA, stage:1, alive, 660 days 6412.4
DO23535 67 years, male, NA, stage:1, alive, 960 days 6201.2
DO50778 60 years, male, NA, stage:4, alive, 630 days 6133.8
DO50787 63 years, male, NA, stage:3, alive, 480 days 6114.5
DO45225 69 years, male, NA, stage:1, alive, 1050 days 5856.9
DO23546 63 years, male, NA, stage:2, alive, 1050 days 5719.9
DO48700 78 years, female, NA, stage:2, alive, 810 days 5715.5
DO23543 63 years, male, NA, stage:2, alive, 1020 days 5617.4
DO48716 71 years, male, NA, stage:2, alive, 720 days 5411.5
DO50800 74 years, male, NA, stage:2, alive, 510 days 5357.8
DO50819 72 years, female, NA, stage:2, alive, 510 days 5275.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 5269.9
DO45283 60 years, male, NA, stage:3, alive, 510 days 5093.7
DO48720 62 years, female, NA, stage:2, alive, 570 days 5081.6
DO45171 56 years, male, NA, stage:3, alive, 600 days 4966.5
DO45273 62 years, male, NA, stage:2, alive, 480 days 4958.5
DO23542 66 years, male, NA, stage:3, alive, 960 days 4937.8
DO45155 69 years, male, NA, stage:2, alive, 2160 days 4783.1
DO45263 67 years, male, NA, stage:3, dead, 270 days 4593.3
DO50805 72 years, male, NA, stage:2, alive, 690 days 4589.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 4331.1
DO45303 62 years, female, NA, stage:3, alive, 990 days 4284.1
DO45275 65 years, male, NA, stage:3, dead, 10 days 4283.5
DO48672 81 years, male, NA, stage:2, alive, 450 days 4018.5
DO45095 66 years, male, NA, stage:2, alive, 1620 days 4013.4
DO45145 78 years, male, NA, stage:3, dead, 60 days 3974.6
DO45143 69 years, male, NA, stage:3, alive, 1290 days 3945.7
DO45157 62 years, male, NA, stage:2, alive, 1980 days 3832.8
DO45115 81 years, male, NA, stage:2, alive, 840 days 3655.1
DO48730 73 years, female, NA, stage:2, alive, 630 days 3633.5
DO45251 57 years, female, NA, stage:2, alive, 900 days 3633.4
DO45127 73 years, male, NA, stage:3, dead, 420 days 3617.8
DO23536 56 years, male, NA, stage:2, alive, 930 days 3563.2
DO23518 67 years, male, NA, stage:2, alive, 1320 days 3552.5
DO45211 76 years, male, NA, stage:3, alive, 240 days 3549.0
DO45257 46 years, male, NA, stage:3, alive, 810 days 3494.8
DO45181 84 years, female, NA, stage:2, alive, 1200 days 3461.6
DO45135 77 years, male, NA, stage:1, alive, 1410 days 3358.3
DO48704 68 years, female, NA, stage:3, alive, 750 days 3322.4
DO45261 74 years, male, NA, stage:3, alive, 990 days 3116.0
DO23525 71 years, male, NA, stage:4, alive, 1050 days 3101.1
DO23548 78 years, female, NA, stage:1, alive, 840 days 3082.9
DO48697 64 years, female, NA, stage:2, dead, 810 days 3046.4
DO23519 65 years, male, NA, stage:3, alive, 630 days 3013.8
DO48723 73 years, male, NA, stage:1, alive, 600 days 2966.3
DO48693 71 years, male, NA, stage:2, alive, 900 days 2965.5
DO45279 67 years, male, NA, stage:3, alive, 1290 days 2898.2
DO50816 63 years, male, NA, stage:2, alive, 390 days 2888.6
DO50845 72 years, male, NA, stage:3, alive, 210 days 2870.4
DO45285 59 years, male, NA, stage:3, alive, 480 days 2868.6
DO48717 54 years, male, NA, stage:4, dead, 180 days 2819.6
DO23527 72 years, male, NA, stage:1, alive, 1050 days 2784.0
DO50818 65 years, male, NA, stage:2, alive, 510 days 2778.0
DO45153 77 years, female, NA, stage:2, alive, 1380 days 2702.6
DO48712 50 years, male, NA, stage:2, alive, 810 days 2688.7
DO45265 73 years, male, NA, stage:3, alive, 1020 days 2687.5
DO45233 83 years, male, NA, stage:3, alive, 900 days 2655.4
DO48743 69 years, female, NA, stage:2, alive, 570 days 2643.6
DO45092 62 years, male, NA, stage:4, dead, 1200 days 2638.0
DO45099 46 years, male, NA, stage:3, alive, 1590 days 2614.4
DO45223 67 years, male, NA, stage:4, alive, 1020 days 2583.3
DO50776 75 years, male, NA, stage:1, alive, 690 days 2521.1
DO45185 89 years, male, NA, stage:2, alive, 600 days 2494.5
DO45103 47 years, male, NA, stage:3, alive, 450 days 2454.0
DO23540 73 years, male, NA, stage:1, alive, 750 days 2438.7
DO48733 72 years, male, NA, stage:2, alive, 600 days 2437.0
DO50791 79 years, female, NA, stage:1, dead, 480 days 2431.5
DO45231 84 years, male, NA, stage:2, alive, 930 days 2364.1
DO50822 66 years, male, NA, stage:2, alive, 510 days 2353.5
DO23541 65 years, male, NA, stage:2, alive, 930 days 2317.4
DO23524 71 years, female, NA, stage:2, alive, 1050 days 2315.6
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2308.1
DO48761 55 years, male, NA, stage:2, alive, 870 days 2304.4
DO48679 72 years, male, NA, stage:2, alive, 1200 days 2264.9
DO45109 63 years, male, NA, stage:2, alive, 1590 days 2255.5
DO50815 62 years, male, NA, stage:3, alive, 150 days 2194.5
DO23539 77 years, male, NA, stage:1, alive, 1110 days 2186.0
DO45301 56 years, male, NA, stage:2, dead, 1440 days 2168.9
DO45305 66 years, male, NA, stage:4, alive, 300 days 2156.8
DO23510 80 years, female, NA, stage:2, alive, 870 days 2137.2
DO45229 74 years, male, NA, stage:1, alive, 990 days 2085.7
DO45094 76 years, male, NA, stage:3, alive, 1650 days 2080.7
DO45207 68 years, male, NA, stage:1, alive, 1050 days 2054.2
DO23550 69 years, male, NA, stage:1, alive, 990 days 1974.2
DO50799 66 years, female, NA, stage:2, alive, 540 days 1946.5
DO50774 68 years, female, NA, stage:2, alive, 720 days 1917.1
DO45237 58 years, male, NA, stage:2, alive, 900 days 1896.2
DO48725 66 years, male, NA, stage:1, alive, 780 days 1865.8
DO45255 81 years, male, NA, stage:3, alive, 720 days 1865.6
DO45201 49 years, male, NA, stage:1, alive, 900 days 1864.4
DO23531 78 years, female, NA, stage:3, alive, 900 days 1810.4
DO50850 74 years, male, NA, stage:3, alive, 720 days 1736.2
DO45131 53 years, male, NA, stage:4, dead, 360 days 1734.4
DO50806 70 years, male, NA, stage:4, alive, 540 days 1695.2
DO45165 75 years, male, NA, stage:2, alive, 690 days 1689.6
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1678.8
DO50840 49 years, male, NA, stage:2, alive, 330 days 1607.6
DO50809 56 years, male, NA, stage:3, dead, 720 days 1598.0
DO45119 74 years, male, NA, stage:3, dead, 510 days 1594.3
DO50855 47 years, male, NA, stage:2, alive, 570 days 1567.7
DO48736 76 years, female, NA, stage:1, alive, 600 days 1539.9
DO48737 52 years, male, NA, stage:1, alive, 720 days 1518.2
DO45221 75 years, female, NA, stage:4, dead, 390 days 1503.2
DO45177 81 years, female, NA, stage:3, alive, 1260 days 1497.9
DO23551 73 years, male, NA, stage:3, dead, 150 days 1457.0
DO45243 74 years, female, NA, stage:3, alive, 930 days 1450.3
DO45267 73 years, male, NA, stage:3, dead, 570 days 1443.5
DO45281 83 years, male, NA, stage:4, alive, 750 days 1428.6
DO50808 68 years, male, NA, stage:2, alive, 570 days 1396.2
DO23521 63 years, male, NA, stage:3, alive, 1110 days 1372.9
DO45205 67 years, female, NA, stage:2, dead, 90 days 1348.0
DO45253 50 years, male, NA, stage:2, alive, 870 days 1334.8
DO45091 56 years, male, NA, stage:2, dead, 1320 days 1289.1
DO45121 61 years, male, NA, stage:3, alive, 1530 days 1282.5
DO45215 65 years, male, NA, stage:2, alive, 1170 days 1268.8
DO50857 72 years, male, NA, stage:2, alive, 210 days 1251.6
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1245.2
DO45117 73 years, female, NA, stage:2, dead, 1110 days 1232.9
DO45137 38 years, male, NA, stage:1, alive, 1320 days 1227.2
DO48719 80 years, male, NA, stage:2, alive, 690 days 1217.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 1213.1
DO23537 79 years, male, NA, stage:2, dead, 900 days 1210.9
DO48742 76 years, male, NA, stage:2, alive, 600 days 1171.7
DO48715 58 years, female, NA, stage:2, dead, 690 days 1170.6
DO50807 67 years, male, NA, stage:1, alive, 540 days 1166.4
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1153.8
DO23533 61 years, male, NA, stage:2, alive, 900 days 1138.1
DO23512 60 years, male, NA, stage:1, alive, 1260 days 1103.1
DO23532 71 years, female, NA, stage:1, alive, 960 days 1054.7
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1040.4
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1040.1
DO45161 74 years, male, NA, stage:2, dead, 540 days 1039.4
DO48701 78 years, male, NA, stage:2, alive, 780 days 1038.6
DO45105 61 years, male, NA, stage:1, alive, 1680 days 952.4
DO45269 59 years, male, NA, stage:3, alive, 750 days 951.5
DO50813 56 years, male, NA, stage:2, alive, 420 days 935.4
DO45113 58 years, male, NA, stage:3, alive, 1560 days 935.0
DO23544 67 years, male, NA, stage:2, alive, 960 days 933.8
DO45213 58 years, male, NA, stage:1, alive, 1200 days 901.0
DO23511 83 years, female, NA, stage:3, dead, 180 days 874.3
DO45217 69 years, female, NA, stage:3, dead, 270 days 874.3
DO50832 73 years, male, NA, stage:3, alive, 90 days 873.7
DO45193 68 years, female, NA, stage:4, dead, 120 days 853.2
DO48695 77 years, male, NA, stage:2, alive, 720 days 827.2
DO48760 70 years, female, NA, stage:2, alive, 690 days 815.0
DO45189 85 years, female, NA, stage:2, alive, 1200 days 803.6
DO45197 51 years, male, NA, stage:2, alive, 1170 days 773.7
DO45239 42 years, male, NA, stage:2, alive, 870 days 772.3
DO45173 63 years, male, NA, stage:3, alive, 1170 days 771.9
DO50817 75 years, male, NA, stage:2, alive, 390 days 744.9
DO23545 67 years, male, NA, stage:2, dead, 570 days 744.5
DO45101 63 years, male, NA, stage:2, alive, 1680 days 743.2
DO45167 67 years, male, NA, stage:2, dead, 1440 days 716.5
DO48741 64 years, male, NA, stage:3, alive, 240 days 712.1
DO48721 58 years, female, NA, stage:1, alive, 900 days 711.6
DO45299 70 years, female, NA, stage:1, alive, 1440 days 708.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 707.6
DO23508 79 years, female, NA, stage:2, alive, 390 days 700.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 692.4
DO50825 70 years, male, NA, stage:2, alive, 390 days 674.0
DO45259 65 years, male, NA, stage:3, alive, 330 days 663.7
DO23529 72 years, male, NA, stage:4, alive, 930 days 638.7
DO50820 77 years, female, NA, stage:3, alive, 510 days 638.1
DO45123 78 years, female, NA, stage:2, dead, 570 days 631.1
DO45183 72 years, female, NA, stage:2, dead, 570 days 630.9
DO50814 83 years, male, NA, stage:3, alive, 420 days 627.2
DO45179 78 years, female, NA, stage:2, alive, 600 days 622.3
DO45219 78 years, male, NA, stage:2, alive, 1080 days 618.5
DO23534 60 years, male, NA, stage:2, alive, 840 days 615.1
DO45169 74 years, male, NA, stage:3, alive, 1350 days 613.4
DO45149 70 years, female, NA, stage:2, alive, 1260 days 613.0
DO45199 86 years, female, NA, stage:2, alive, 1350 days 600.0
DO50802 49 years, male, NA, stage:2, alive, 930 days 584.9
DO50798 77 years, male, NA, stage:3, dead, 30 days 574.7
DO45125 58 years, male, NA, stage:3, alive, 1680 days 548.4
DO45133 64 years, male, NA, stage:3, dead, 660 days 536.8
DO23538 67 years, male, NA, stage:2, alive, 450 days 535.2
DO50783 62 years, male, NA, stage:3, alive, 480 days 532.7
DO45247 31 years, female, NA, stage:2, alive, 210 days 532.5
DO50789 73 years, female, NA, stage:2, alive, 570 days 532.1
DO45297 61 years, female, NA, stage:4, dead, 1260 days 524.3
DO48757 68 years, female, NA, stage:3, alive, 480 days 513.9
DO45163 76 years, male, NA, stage:2, alive, 960 days 504.6
DO23509 60 years, male, NA, stage:3, dead, 780 days 488.1
DO45187 32 years, female, NA, stage:1, alive, 1260 days 485.7
DO45096 69 years, male, NA, stage:2, dead, 1290 days 475.2
DO45129 61 years, male, NA, stage:3, alive, 1470 days 474.8
DO48681 57 years, male, NA, stage:2, alive, 900 days 465.0
DO50793 76 years, male, NA, stage:4, alive, 540 days 461.9
DO45227 57 years, female, NA, stage:2, alive, 1020 days 418.1
DO23552 80 years, female, NA, stage:1, alive, 810 days 408.4
DO45289 78 years, female, NA, stage:3, alive, 360 days 400.8
DO50804 81 years, male, NA, stage:2, alive, 720 days 390.5
DO23517 62 years, male, NA, stage:2, alive, 1200 days 368.3
DO45195 62 years, male, NA, stage:1, alive, 390 days 343.1
DO50839 47 years, female, NA, stage:3, alive, 330 days 336.4
DO50844 75 years, male, NA, stage:4, alive, 300 days 332.9
DO48674 80 years, male, NA, stage:2, alive, 1260 days 329.3
DO45191 61 years, female, NA, stage:2, alive, 1200 days 295.5
DO23528 45 years, female, NA, stage:2, alive, 1020 days 280.0
DO45209 70 years, male, NA, stage:4, alive, 1350 days 276.7
DO45097 69 years, male, NA, stage:3, alive, 1620 days 273.8
DO50785 37 years, male, NA, stage:4, dead, 90 days 268.5
DO48746 76 years, male, NA, stage:3, alive, 570 days 268.3
DO48682 72 years, female, NA, stage:3, dead, 120 days 259.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 249.5
DO48677 58 years, male, NA, stage:3, alive, 1140 days 239.2
DO48706 72 years, male, NA, stage:2, alive, 870 days 216.7
DO48727 81 years, female, NA, stage:2, dead, 390 days 190.2
DO50859 77 years, male, NA, stage:2, alive, 180 days 173.3
DO50811 62 years, male, NA, stage:1, alive, 450 days 147.1
DO23516 69 years, male, NA, stage:3, dead, 20 days 137.3
DO48751 68 years, male, NA, stage:2, dead, 480 days 68.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
861 Tumor 2.2
557 Tumor 2.1
395 Tumor 1.7
211 Tumor 1.7
231 Tumor 1.5
724 Normal 1.5
383 Tumor 1.3
913 Tumor 1.2
978 Normal 1.2
685 Tumor 1.1
353 Tumor 1.1
311 Tumor 1.1
434 Normal 1.1
467 Tumor 1.0
721 Tumor 1.0
814 Normal 1.0
966 Normal 1.0
188 Normal 0.8
262 Normal 0.8
493 Tumor 0.8
755 Tumor 0.8
525 Tumor 0.8
161 Tumor 0.8
195 Tumor 0.8
1015 Tumor 0.8
823 Tumor 0.7
915 Tumor 0.7
914 Normal 0.7
953 Tumor 0.7
937 Tumor 0.7
497 Tumor 0.7
492 Normal 0.7
661 Tumor 0.7
171 Tumor 0.6
213 Tumor 0.6
217 Tumor 0.5
113 Tumor 0.5
355 Tumor 0.5
536 Normal 0.5
917 Tumor 0.5
883 Tumor 0.5
343 Tumor 0.4
981 Tumor 0.4
185 Tumor 0.4
963 Tumor 0.4
212 Normal 0.4
524 Normal 0.4
362 Normal 0.4
478 Normal 0.4
384 Normal 0.4
141 Tumor 0.4
443 Tumor 0.4
867 Tumor 0.4
663 Tumor 0.4
261 Tumor 0.4
375 Tumor 0.4
916 Normal 0.4
1031 Tumor 0.3
192 Normal 0.3
224 Normal 0.3
956 Normal 0.3
145 Tumor 0.3
126 Normal 0.3
455 Tumor 0.3
498 Normal 0.3
187 Tumor 0.3
955 Tumor 0.3
852 Normal 0.3
137 Tumor 0.3
535 Tumor 0.2
444 Normal 0.2
628 Normal 0.2
366 Normal 0.2
191 Tumor 0.2
516 Normal 0.2
272 Normal 0.2
268 Normal 0.2
396 Normal 0.2
857 Tumor 0.2
432 Normal 0.1
386 Normal 0.1
686 Normal 0.1
433 Tumor 0.1
874 Normal 0.1
662 Normal 0.1
952 Normal 0.1
312 Normal 0.1
1042 Normal 0.1
146 Normal 0.1
851 Tumor 0.1
451 Tumor 0.1
468 Normal 0.1
538 Normal 0.1
258 Normal 0.1
284 Normal 0.0
514 Normal 0.0
471 Tumor 0.0
716 Normal 0.0
494 Normal 0.0
1044 Normal 0.0
267 Tumor 0.0
523 Tumor 0.0
884 Normal 0.0
218 Normal 0.0
1027 Tumor 0.0
943 Tumor 0.0
138 Normal 0.0
114 Normal 0.0
297 Tumor 0.0
415 Tumor 0.0
813 Tumor 0.0
627 Tumor 0.0
976 Normal -0.1
385 Tumor -0.1
387 Tumor -0.1
447 Tumor -0.1
491 Tumor -0.1
975 Tumor -0.1
1013 Tumor -0.1
461 Tumor -0.1
574 Normal -0.1
672 Normal -0.1
456 Normal -0.1
1045 Tumor -0.1
421 Tumor -0.1
142 Normal -0.1
416 Normal -0.1
162 Normal -0.1
696 Normal -0.1
926 Normal -0.1
778 Normal -0.1
922 Normal -0.2
446 Normal -0.2
528 Normal -0.2
965 Tumor -0.2
865 Tumor -0.2
954 Normal -0.2
918 Normal -0.2
858 Normal -0.2
487 Tumor -0.2
283 Tumor -0.2
554 Normal -0.2
881 Tumor -0.2
984 Normal -0.2
364 Normal -0.2
665 Tumor -0.2
563 Tumor -0.2
172 Normal -0.2
472 Normal -0.2
866 Normal -0.2
818 Normal -0.3
1028 Normal -0.3
873 Tumor -0.3
958 Normal -0.3
214 Normal -0.3
573 Tumor -0.3
363 Tumor -0.3
1043 Tumor -0.3
228 Normal -0.3
391 Tumor -0.3
148 Normal -0.3
864 Normal -0.3
474 Normal -0.3
124 Normal -0.3
1016 Normal -0.3
722 Normal -0.3
664 Normal -0.3
427 Tumor -0.3
327 Tumor -0.3
642 Normal -0.3
1022 Normal -0.3
223 Tumor -0.3
558 Normal -0.3
951 Tumor -0.3
136 Normal -0.4
356 Normal -0.4
816 Normal -0.4
1026 Normal -0.4
824 Normal -0.4
368 Normal -0.4
617 Tumor -0.4
641 Tumor -0.4
286 Normal -0.4
123 Tumor -0.4
756 Normal -0.4
877 Tumor -0.4
868 Normal -0.4
365 Tumor -0.4
968 Normal -0.4
354 Normal -0.4
424 Normal -0.4
367 Tumor -0.4
232 Normal -0.4
332 Normal -0.4
111 Normal -0.4
186 Normal -0.4
977 Tumor -0.4
925 Tumor -0.4
196 Normal -0.4
341 Tumor -0.4
352 Normal -0.4
862 Normal -0.4
1046 Normal -0.4
222 Normal -0.4
944 Normal -0.4
127 Tumor -0.4
1032 Normal -0.4
388 Normal -0.4
1014 Normal -0.4
392 Normal -0.4
924 Normal -0.4
285 Tumor -0.4
982 Normal -0.4
714 Normal -0.5
526 Normal -0.5
328 Normal -0.5
882 Normal -0.5
278 Normal -0.5
393 Tumor -0.5
412 Normal -0.5
567 Tumor -0.5
422 Normal -0.5
738 Normal -0.5
817 Tumor -0.5
488 Normal -0.5
135 Tumor -0.5
878 Normal -0.5
728 Normal -0.5
351 Tumor -0.5
464 Normal -0.5
741 Tumor -0.5
462 Normal -0.5
298 Normal -0.5
553 Tumor -0.5
666 Normal -0.5
938 Normal -0.5
376 Normal -0.5
128 Normal -0.5
428 Normal -0.5
518 Normal -0.5
357 Tumor -0.5
344 Normal -0.5
697 Tumor -0.5
436 Normal -0.5
483 Tumor -0.5
648 Normal -0.5
394 Normal -0.5
411 Tumor -0.5
358 Normal -0.6
616 Normal -0.6
727 Tumor -0.6
466 Normal -0.6
132 Normal -0.6
912 Normal -0.6
964 Normal -0.6
257 Tumor -0.6
431 Tumor -0.6
482 Normal -0.6
713 Tumor -0.6
786 Normal -0.6
413 Tumor -0.6
147 Tumor -0.6
484 Normal -0.6
546 Normal -0.6
221 Tumor -0.6
1041 Tumor -0.6
342 Normal -0.6
564 Normal -0.7
572 Normal -0.7
533 Tumor -0.7
534 Normal -0.7
545 Tumor -0.7
448 Normal -0.7
698 Normal -0.7
361 Tumor -0.7
715 Tumor -0.7
331 Tumor -0.7
983 Tumor -0.7
923 Tumor -0.7
815 Tumor -0.7
227 Tumor -0.7
463 Tumor -0.7
452 Normal -0.7
957 Tumor -0.7
568 Normal -0.8
414 Normal -0.8
723 Tumor -0.8
277 Tumor -0.8
314 Normal -0.8
911 Tumor -0.8
863 Tumor -0.8
744 Normal -0.8
618 Normal -0.8
271 Tumor -0.8
481 Tumor -0.8
423 Tumor -0.8
1025 Tumor -0.9
313 Tumor -0.9
477 Tumor -0.9
426 Normal -0.9
647 Tumor -0.9
445 Tumor -0.9
636 Normal -0.9
571 Tumor -0.9
742 Normal -0.9
785 Tumor -0.9
515 Tumor -0.9
671 Tumor -1.0
537 Tumor -1.0
1021 Tumor -1.0
746 Normal -1.0
465 Tumor -1.0
125 Tumor -1.1
615 Tumor -1.1
513 Tumor -1.1
435 Tumor -1.1
112 Tumor -1.2
921 Tumor -1.2
745 Tumor -1.2
473 Tumor -1.2
967 Tumor -1.3
777 Tumor -1.3
695 Tumor -1.3
737 Tumor -1.4
131 Tumor -1.4
517 Tumor -1.4
527 Tumor -1.4
425 Tumor -1.5
635 Tumor -1.9
743 Tumor -2.1
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 HPA010592

Antibody CAB002506

Antibody CAB079994
 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