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RPS13
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  • RPS13
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.

RPS13 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1048.94
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 966.2
Number of samples 362
Samples
Sample Description pTPM
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 4804.5
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 3325.5
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 2739.2
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 2650.0
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 2477.7
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 2401.3
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 2278.5
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 2269.9
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 2114.1
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 1968.3
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 1964.4
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 1937.8
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 1920.0
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 1900.3
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 1882.3
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1856.7
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 1838.9
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 1838.8
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 1748.5
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1736.5
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 1722.1
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1719.1
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1703.1
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 1701.9
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 1696.9
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 1677.0
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 1672.6
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 1641.5
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 1634.9
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 1624.7
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 1618.9
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 1617.4
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 1596.0
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 1582.1
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 1573.4
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 1571.7
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 1565.2
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 1547.6
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 1529.3
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 1524.7
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 1518.3
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 1514.7
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 1510.6
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 1481.5
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1479.5
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1434.0
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 1433.6
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 1405.9
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1403.6
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 1401.4
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1395.6
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 1394.6
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1382.8
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 1369.1
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 1363.5
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 1354.5
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1353.5
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 1345.8
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 1341.0
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 1327.5
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1314.5
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 1310.9
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 1309.5
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 1297.3
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 1291.5
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 1285.1
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 1284.7
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 1270.4
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 1267.0
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 1256.6
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 1254.7
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 1249.0
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 1242.3
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 1219.5
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1217.0
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 1216.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 1214.3
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 1208.5
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1201.3
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 1196.0
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 1185.5
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 1184.6
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 1179.3
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 1178.1
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 1177.3
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 1171.5
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 1170.2
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 1167.6
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 1161.1
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 1158.2
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1151.4
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 1141.7
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1136.8
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 1135.5
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 1129.2
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 1126.7
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 1118.1
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 1097.3
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 1093.3
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 1093.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 1090.0
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 1081.8
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 1074.1
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 1072.0
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 1071.9
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1071.2
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 1069.1
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 1062.4
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 1060.2
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 1059.7
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 1054.1
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 1048.9
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1048.4
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 1044.6
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 1043.7
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 1042.0
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 1041.2
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 1035.6
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 1033.0
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 1019.7
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 1018.3
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 1018.3
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 1011.0
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 1010.7
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 1010.6
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 1005.6
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 1003.2
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 996.0
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 985.0
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 977.9
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 972.2
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 968.4
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 965.4
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 963.6
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 948.2
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 947.2
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 946.4
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 941.5
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 937.8
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 935.0
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 931.1
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 929.7
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 929.5
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 928.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 925.6
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 920.9
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 918.2
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 917.7
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 915.9
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 913.8
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 913.8
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 910.6
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 905.5
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 904.8
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 898.2
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 898.1
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 897.7
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 895.0
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 892.1
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 887.3
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 887.3
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 884.7
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 882.8
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 882.6
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 880.5
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 877.7
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 874.1
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 873.8
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 873.5
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 871.7
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 871.5
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 871.0
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 870.2
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 864.9
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 861.9
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 858.2
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 857.7
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 853.9
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 853.1
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 850.6
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 846.4
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 846.3
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 844.7
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 841.5
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 840.7
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 835.6
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 831.5
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 830.0
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 827.5
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 826.5
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 825.7
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 824.8
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 824.7
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 822.4
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 817.1
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 815.8
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 813.9
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 811.2
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 811.0
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 809.1
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 808.4
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 806.8
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 805.3
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 801.6
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 796.2
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 793.1
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 791.8
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 790.9
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 789.2
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 787.5
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 784.7
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 780.6
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 780.1
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 774.0
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 773.0
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 772.5
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 771.9
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 769.5
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 768.7
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 768.2
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 767.5
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 766.4
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 765.2
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 764.0
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 763.9
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 763.9
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 763.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 761.2
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 757.9
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 757.8
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 757.7
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 757.6
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 756.7
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 755.4
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 755.3
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 751.0
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 750.9
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 742.8
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 734.4
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 734.2
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 729.7
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 725.2
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 722.9
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 720.8
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 718.8
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 716.3
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 713.9
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 711.2
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 710.9
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 710.5
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 709.9
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 709.4
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 708.2
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 706.8
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 701.6
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 700.8
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 700.2
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 699.8
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 699.1
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 696.7
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 693.9
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 693.1
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 685.2
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 684.0
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 683.7
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 677.0
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 675.7
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 673.7
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 672.9
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 671.5
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 668.2
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 667.2
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 666.4
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 664.5
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 663.9
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 658.2
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 657.6
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 655.6
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 655.1
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 651.3
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 648.9
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 646.9
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 642.4
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 641.9
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 641.1
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 637.1
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 636.1
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 625.0
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 624.1
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 624.1
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 622.4
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 615.0
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 613.1
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 606.2
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 605.7
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 605.2
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 602.3
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 594.3
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 593.2
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 589.6
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 588.5
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 585.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 585.0
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 582.7
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 581.2
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 576.8
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 576.2
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 573.6
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 573.1
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 572.5
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 571.2
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 570.7
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 570.2
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 568.0
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 562.6
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 561.2
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 560.6
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 558.8
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 553.2
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 552.6
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 551.0
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 548.5
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 544.9
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 541.9
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 534.2
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 533.2
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 531.4
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 527.4
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 525.4
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 520.7
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 517.4
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 515.9
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 514.6
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 510.1
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 508.7
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 505.4
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 501.5
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 494.9
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 488.3
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 487.9
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 487.5
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 487.2
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 485.5
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 483.3
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 481.9
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 479.8
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 478.3
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 476.1
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 463.2
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 454.3
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 453.9
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 440.7
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 438.5
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 430.0
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 429.6
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 428.3
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 418.3
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 417.2
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 417.1
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 377.2
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 363.9
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 344.1
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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.

RPS13 is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

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

:
Best expression cut offi

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

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

: 1090.55
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 1094.2
Number of samples 231
Samples
Sample Description pTPM
DO45285 59 years, male, NA, stage:3, alive, 480 days 4188.7
DO45303 62 years, female, NA, stage:3, alive, 990 days 2611.5
DO45289 78 years, female, NA, stage:3, alive, 360 days 2591.2
DO45189 85 years, female, NA, stage:2, alive, 1200 days 2515.6
DO50814 83 years, male, NA, stage:3, alive, 420 days 2456.6
DO45307 54 years, female, NA, stage:4, dead, 240 days 2437.6
DO45299 70 years, female, NA, stage:1, alive, 1440 days 2380.1
DO45305 66 years, male, NA, stage:4, alive, 300 days 2297.2
DO23519 65 years, male, NA, stage:3, alive, 630 days 2275.8
DO23515 71 years, male, NA, stage:2, alive, 1230 days 2264.7
DO45259 65 years, male, NA, stage:3, alive, 330 days 2249.1
DO48737 52 years, male, NA, stage:1, alive, 720 days 2186.6
DO45283 60 years, male, NA, stage:3, alive, 510 days 2174.6
DO23530 53 years, male, NA, stage:4, dead, 180 days 2150.7
DO45217 69 years, female, NA, stage:3, dead, 270 days 2129.6
DO48682 72 years, female, NA, stage:3, dead, 120 days 2104.4
DO23508 79 years, female, NA, stage:2, alive, 390 days 2062.2
DO48747 62 years, male, NA, stage:3, alive, 540 days 2059.7
DO45251 57 years, female, NA, stage:2, alive, 900 days 2033.2
DO45297 61 years, female, NA, stage:4, dead, 1260 days 2031.0
DO45211 76 years, male, NA, stage:3, alive, 240 days 1941.9
DO45287 74 years, male, NA, stage:1, alive, 390 days 1933.1
DO45249 57 years, male, NA, stage:1, alive, 630 days 1872.9
DO50839 47 years, female, NA, stage:3, alive, 330 days 1842.0
DO45161 74 years, male, NA, stage:2, dead, 540 days 1840.0
DO50785 37 years, male, NA, stage:4, dead, 90 days 1797.8
DO23545 67 years, male, NA, stage:2, dead, 570 days 1672.2
DO48751 68 years, male, NA, stage:2, dead, 480 days 1668.8
DO45279 67 years, male, NA, stage:3, alive, 1290 days 1643.7
DO45219 78 years, male, NA, stage:2, alive, 1080 days 1642.8
DO50855 47 years, male, NA, stage:2, alive, 570 days 1621.0
DO45097 69 years, male, NA, stage:3, alive, 1620 days 1560.0
DO50799 66 years, female, NA, stage:2, alive, 540 days 1555.2
DO50806 70 years, male, NA, stage:4, alive, 540 days 1550.6
DO48697 64 years, female, NA, stage:2, dead, 810 days 1544.7
DO48715 58 years, female, NA, stage:2, dead, 690 days 1541.6
DO50804 81 years, male, NA, stage:2, alive, 720 days 1528.2
DO45135 77 years, male, NA, stage:1, alive, 1410 days 1478.7
DO45239 42 years, male, NA, stage:2, alive, 870 days 1447.5
DO23523 52 years, male, NA, stage:3, alive, 1080 days 1426.5
DO50793 76 years, male, NA, stage:4, alive, 540 days 1420.5
DO45093 71 years, male, NA, stage:2, dead, 720 days 1409.0
DO45221 75 years, female, NA, stage:4, dead, 390 days 1402.5
DO45273 62 years, male, NA, stage:2, alive, 480 days 1400.2
DO48730 73 years, female, NA, stage:2, alive, 630 days 1390.6
DO23536 56 years, male, NA, stage:2, alive, 930 days 1389.4
DO45095 66 years, male, NA, stage:2, alive, 1620 days 1388.3
DO45269 59 years, male, NA, stage:3, alive, 750 days 1381.4
DO23516 69 years, male, NA, stage:3, dead, 20 days 1369.8
DO48757 68 years, female, NA, stage:3, alive, 480 days 1356.6
DO50778 60 years, male, NA, stage:4, alive, 630 days 1356.4
DO50820 77 years, female, NA, stage:3, alive, 510 days 1354.8
DO48732 73 years, male, NA, stage:3, alive, 630 days 1349.8
DO45173 63 years, male, NA, stage:3, alive, 1170 days 1327.5
DO50815 62 years, male, NA, stage:3, alive, 150 days 1326.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 1325.7
DO45145 78 years, male, NA, stage:3, dead, 60 days 1318.1
DO48720 62 years, female, NA, stage:2, alive, 570 days 1314.0
DO45165 75 years, male, NA, stage:2, alive, 690 days 1313.5
DO50791 79 years, female, NA, stage:1, dead, 480 days 1289.8
DO23526 66 years, male, NA, stage:3, alive, 1050 days 1287.6
DO48741 64 years, male, NA, stage:3, alive, 240 days 1284.7
DO48672 81 years, male, NA, stage:2, alive, 450 days 1270.9
DO50825 70 years, male, NA, stage:2, alive, 390 days 1265.7
DO48736 76 years, female, NA, stage:1, alive, 600 days 1261.8
DO45183 72 years, female, NA, stage:2, dead, 570 days 1250.5
DO45175 74 years, male, NA, stage:2, alive, 1140 days 1248.0
DO45277 64 years, male, NA, stage:3, alive, 600 days 1242.5
DO45127 73 years, male, NA, stage:3, dead, 420 days 1240.6
DO23533 61 years, male, NA, stage:2, alive, 900 days 1240.4
DO45139 63 years, male, NA, stage:3, alive, 1320 days 1215.4
DO45103 47 years, male, NA, stage:3, alive, 450 days 1207.1
DO48723 73 years, male, NA, stage:1, alive, 600 days 1199.4
DO45203 71 years, female, NA, stage:2, alive, 1170 days 1197.5
DO45213 58 years, male, NA, stage:1, alive, 1200 days 1191.6
DO45193 68 years, female, NA, stage:4, dead, 120 days 1183.4
DO45265 73 years, male, NA, stage:3, alive, 1020 days 1182.0
DO48725 66 years, male, NA, stage:1, alive, 780 days 1178.3
DO45227 57 years, female, NA, stage:2, alive, 1020 days 1176.8
DO45185 89 years, male, NA, stage:2, alive, 600 days 1174.6
DO48727 81 years, female, NA, stage:2, dead, 390 days 1170.5
DO45187 32 years, female, NA, stage:1, alive, 1260 days 1167.2
DO48706 72 years, male, NA, stage:2, alive, 870 days 1163.5
DO45179 78 years, female, NA, stage:2, alive, 600 days 1146.2
DO50850 74 years, male, NA, stage:3, alive, 720 days 1139.6
DO45267 73 years, male, NA, stage:3, dead, 570 days 1137.4
DO45231 84 years, male, NA, stage:2, alive, 930 days 1134.7
DO45281 83 years, male, NA, stage:4, alive, 750 days 1132.0
DO45245 75 years, female, NA, stage:2, dead, 240 days 1126.1
DO45247 31 years, female, NA, stage:2, alive, 210 days 1117.8
DO45205 67 years, female, NA, stage:2, dead, 90 days 1117.6
DO45163 76 years, male, NA, stage:2, alive, 960 days 1113.0
DO50800 74 years, male, NA, stage:2, alive, 510 days 1098.0
DO48728 74 years, female, NA, stage:2, alive, 150 days 1091.0
DO45119 74 years, male, NA, stage:3, dead, 510 days 1090.6
DO50822 66 years, male, NA, stage:2, alive, 510 days 1086.6
DO45137 38 years, male, NA, stage:1, alive, 1320 days 1081.8
DO48746 76 years, male, NA, stage:3, alive, 570 days 1077.5
DO48712 50 years, male, NA, stage:2, alive, 810 days 1077.2
DO23525 71 years, male, NA, stage:4, alive, 1050 days 1076.9
DO227643 79 years, male, NA, stage:2, alive, 1260 days 1076.4
DO23528 45 years, female, NA, stage:2, alive, 1020 days 1063.8
DO50809 56 years, male, NA, stage:3, dead, 720 days 1061.9
DO45141 73 years, male, NA, stage:2, alive, 1320 days 1058.2
DO45253 50 years, male, NA, stage:2, alive, 870 days 1048.4
DO45261 74 years, male, NA, stage:3, alive, 990 days 1031.2
DO48759 73 years, male, NA, stage:3, alive, 720 days 1024.1
DO45157 62 years, male, NA, stage:2, alive, 1980 days 1023.6
DO48733 72 years, male, NA, stage:2, alive, 600 days 1023.2
DO23542 66 years, male, NA, stage:3, alive, 960 days 1022.3
DO45201 49 years, male, NA, stage:1, alive, 900 days 1015.4
DO23543 63 years, male, NA, stage:2, alive, 1020 days 994.7
DO50829 78 years, male, NA, stage:3, alive, 570 days 993.9
DO45255 81 years, male, NA, stage:3, alive, 720 days 992.3
DO45191 61 years, female, NA, stage:2, alive, 1200 days 991.6
DO48719 80 years, male, NA, stage:2, alive, 690 days 990.6
DO50811 62 years, male, NA, stage:1, alive, 450 days 985.1
DO48677 58 years, male, NA, stage:3, alive, 1140 days 984.8
DO45092 62 years, male, NA, stage:4, dead, 1200 days 963.3
DO45225 69 years, male, NA, stage:1, alive, 1050 days 958.2
DO45257 46 years, male, NA, stage:3, alive, 810 days 948.0
DO23547 74 years, male, NA, stage:1, alive, 1020 days 941.8
DO45243 74 years, female, NA, stage:3, alive, 930 days 940.2
DO50857 72 years, male, NA, stage:2, alive, 210 days 935.5
DO45229 74 years, male, NA, stage:1, alive, 990 days 925.8
DO50783 62 years, male, NA, stage:3, alive, 480 days 908.3
DO23521 63 years, male, NA, stage:3, alive, 1110 days 908.2
DO50844 75 years, male, NA, stage:4, alive, 300 days 903.6
DO45143 69 years, male, NA, stage:3, alive, 1290 days 902.6
DO45177 81 years, female, NA, stage:3, alive, 1260 days 895.6
DO50805 72 years, male, NA, stage:2, alive, 690 days 895.6
DO45117 73 years, female, NA, stage:2, dead, 1110 days 889.8
DO23510 80 years, female, NA, stage:2, alive, 870 days 884.3
DO50776 75 years, male, NA, stage:1, alive, 690 days 880.8
DO23538 67 years, male, NA, stage:2, alive, 450 days 880.0
DO50787 63 years, male, NA, stage:3, alive, 480 days 879.6
DO45301 56 years, male, NA, stage:2, dead, 1440 days 879.1
DO23529 72 years, male, NA, stage:4, alive, 930 days 877.1
DO50819 72 years, female, NA, stage:2, alive, 510 days 875.4
DO45121 61 years, male, NA, stage:3, alive, 1530 days 875.0
DO48717 54 years, male, NA, stage:4, dead, 180 days 873.0
DO45199 86 years, female, NA, stage:2, alive, 1350 days 872.9
DO45207 68 years, male, NA, stage:1, alive, 1050 days 868.5
DO50813 56 years, male, NA, stage:2, alive, 420 days 856.1
DO48700 78 years, female, NA, stage:2, alive, 810 days 856.1
DO23540 73 years, male, NA, stage:1, alive, 750 days 851.6
DO50808 68 years, male, NA, stage:2, alive, 570 days 849.7
DO23514 64 years, male, NA, stage:2, alive, 1290 days 847.6
DO45109 63 years, male, NA, stage:2, alive, 1590 days 846.4
DO45113 58 years, male, NA, stage:3, alive, 1560 days 835.6
DO45275 65 years, male, NA, stage:3, dead, 10 days 828.2
DO50774 68 years, female, NA, stage:2, alive, 720 days 826.7
DO45241 49 years, male, NA, stage:1, alive, 1080 days 822.6
DO50798 77 years, male, NA, stage:3, dead, 30 days 821.2
DO45233 83 years, male, NA, stage:3, alive, 900 days 819.8
DO50807 67 years, male, NA, stage:1, alive, 540 days 805.7
DO45223 67 years, male, NA, stage:4, alive, 1020 days 803.7
DO45181 84 years, female, NA, stage:2, alive, 1200 days 798.7
DO45171 56 years, male, NA, stage:3, alive, 600 days 788.9
DO45131 53 years, male, NA, stage:4, dead, 360 days 787.1
DO50789 73 years, female, NA, stage:2, alive, 570 days 784.9
DO45159 65 years, male, NA, stage:3, alive, 1470 days 782.1
DO23549 74 years, male, NA, stage:3, alive, 990 days 781.3
DO48679 72 years, male, NA, stage:2, alive, 1200 days 780.7
DO50859 77 years, male, NA, stage:2, alive, 180 days 779.9
DO23537 79 years, male, NA, stage:2, dead, 900 days 777.9
DO45155 69 years, male, NA, stage:2, alive, 2160 days 773.5
DO23513 76 years, male, NA, stage:3, alive, 1200 days 766.6
DO45153 77 years, female, NA, stage:2, alive, 1380 days 763.5
DO45197 51 years, male, NA, stage:2, alive, 1170 days 752.4
DO23546 63 years, male, NA, stage:2, alive, 1050 days 749.4
DO45209 70 years, male, NA, stage:4, alive, 1350 days 744.8
DO23548 78 years, female, NA, stage:1, alive, 840 days 743.8
DO50816 63 years, male, NA, stage:2, alive, 390 days 741.6
DO50818 65 years, male, NA, stage:2, alive, 510 days 732.4
DO227801 77 years, female, NA, stage:1, alive, 660 days 726.1
DO23524 71 years, female, NA, stage:2, alive, 1050 days 720.0
DO23541 65 years, male, NA, stage:2, alive, 930 days 708.8
DO23539 77 years, male, NA, stage:1, alive, 1110 days 708.3
DO48693 71 years, male, NA, stage:2, alive, 900 days 703.1
DO48695 77 years, male, NA, stage:2, alive, 720 days 700.5
DO48674 80 years, male, NA, stage:2, alive, 1260 days 687.0
DO45169 74 years, male, NA, stage:3, alive, 1350 days 678.2
DO50817 75 years, male, NA, stage:2, alive, 390 days 676.3
DO48743 69 years, female, NA, stage:2, alive, 570 days 675.7
DO50832 73 years, male, NA, stage:3, alive, 90 days 673.7
DO45091 56 years, male, NA, stage:2, dead, 1320 days 672.3
DO23535 67 years, male, NA, stage:1, alive, 960 days 668.6
DO50840 49 years, male, NA, stage:2, alive, 330 days 668.3
DO45235 68 years, female, NA, stage:1, alive, 900 days 664.8
DO23544 67 years, male, NA, stage:2, alive, 960 days 651.0
DO23517 62 years, male, NA, stage:2, alive, 1200 days 650.8
DO48704 68 years, female, NA, stage:3, alive, 750 days 643.8
DO45099 46 years, male, NA, stage:3, alive, 1590 days 643.6
DO45096 69 years, male, NA, stage:2, dead, 1290 days 642.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 638.3
DO48761 55 years, male, NA, stage:2, alive, 870 days 630.3
DO45123 78 years, female, NA, stage:2, dead, 570 days 623.3
DO50803 62 years, female, NA, stage:1, alive, 540 days 619.9
DO23531 78 years, female, NA, stage:3, alive, 900 days 599.9
DO48716 71 years, male, NA, stage:2, alive, 720 days 597.2
DO45149 70 years, female, NA, stage:2, alive, 1260 days 592.3
DO23527 72 years, male, NA, stage:1, alive, 1050 days 587.4
DO45115 81 years, male, NA, stage:2, alive, 840 days 587.3
DO23551 73 years, male, NA, stage:3, dead, 150 days 579.0
DO23518 67 years, male, NA, stage:2, alive, 1320 days 572.6
DO45125 58 years, male, NA, stage:3, alive, 1680 days 568.7
DO48742 76 years, male, NA, stage:2, alive, 600 days 557.9
DO45215 65 years, male, NA, stage:2, alive, 1170 days 555.3
DO23511 83 years, female, NA, stage:3, dead, 180 days 541.3
DO45129 61 years, male, NA, stage:3, alive, 1470 days 538.5
DO23550 69 years, male, NA, stage:1, alive, 990 days 537.0
DO45195 62 years, male, NA, stage:1, alive, 390 days 535.3
DO23534 60 years, male, NA, stage:2, alive, 840 days 530.7
DO23512 60 years, male, NA, stage:1, alive, 1260 days 527.6
DO45237 58 years, male, NA, stage:2, alive, 900 days 518.7
DO48760 70 years, female, NA, stage:2, alive, 690 days 516.0
DO48681 57 years, male, NA, stage:2, alive, 900 days 513.2
DO48721 58 years, female, NA, stage:1, alive, 900 days 510.3
DO48701 78 years, male, NA, stage:2, alive, 780 days 508.9
DO50845 72 years, male, NA, stage:3, alive, 210 days 502.8
DO45094 76 years, male, NA, stage:3, alive, 1650 days 499.8
DO45263 67 years, male, NA, stage:3, dead, 270 days 485.2
DO23552 80 years, female, NA, stage:1, alive, 810 days 468.0
DO45111 74 years, male, NA, stage:2, alive, 1590 days 437.8
DO45101 63 years, male, NA, stage:2, alive, 1680 days 403.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 360.7
DO45105 61 years, male, NA, stage:1, alive, 1680 days 345.2
DO23532 71 years, female, NA, stage:1, alive, 960 days 318.3
DO23509 60 years, male, NA, stage:3, dead, 780 days 292.1
DO45167 67 years, male, NA, stage:2, dead, 1440 days 230.0
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
1021 Tumor 0.6
285 Tumor 0.5
327 Tumor 0.5
743 Tumor 0.4
113 Tumor 0.4
1027 Tumor 0.4
557 Tumor 0.4
727 Tumor 0.4
537 Tumor 0.4
1032 Normal 0.4
367 Tumor 0.4
1022 Normal 0.3
965 Tumor 0.3
135 Tumor 0.3
636 Normal 0.3
353 Tumor 0.3
195 Tumor 0.3
724 Normal 0.3
172 Normal 0.3
685 Tumor 0.3
414 Normal 0.3
815 Tumor 0.3
186 Normal 0.3
721 Tumor 0.3
1031 Tumor 0.3
746 Normal 0.3
964 Normal 0.3
1026 Normal 0.3
558 Normal 0.3
1025 Tumor 0.3
223 Tumor 0.3
446 Normal 0.3
131 Tumor 0.3
723 Tumor 0.3
777 Tumor 0.3
851 Tumor 0.2
938 Normal 0.2
162 Normal 0.2
1041 Tumor 0.2
393 Tumor 0.2
368 Normal 0.2
756 Normal 0.2
983 Tumor 0.2
1028 Normal 0.2
955 Tumor 0.2
466 Normal 0.2
884 Normal 0.2
981 Tumor 0.2
737 Tumor 0.2
395 Tumor 0.2
1014 Normal 0.2
912 Normal 0.2
661 Tumor 0.2
451 Tumor 0.2
862 Normal 0.2
745 Tumor 0.2
432 Normal 0.2
462 Normal 0.2
514 Normal 0.2
567 Tumor 0.2
356 Normal 0.2
187 Tumor 0.2
331 Tumor 0.2
112 Tumor 0.2
926 Normal 0.2
376 Normal 0.2
648 Normal 0.2
145 Tumor 0.2
467 Tumor 0.2
778 Normal 0.2
864 Normal 0.2
523 Tumor 0.2
227 Tumor 0.2
413 Tumor 0.2
478 Normal 0.2
568 Normal 0.2
852 Normal 0.2
385 Tumor 0.2
742 Normal 0.2
481 Tumor 0.2
978 Normal 0.2
572 Normal 0.2
958 Normal 0.2
436 Normal 0.2
148 Normal 0.2
738 Normal 0.2
191 Tumor 0.2
517 Tumor 0.2
922 Normal 0.2
824 Normal 0.2
865 Tumor 0.2
426 Normal 0.2
314 Normal 0.2
443 Tumor 0.2
358 Normal 0.2
617 Tumor 0.2
387 Tumor 0.2
882 Normal 0.2
966 Normal 0.2
422 Normal 0.2
188 Normal 0.2
445 Tumor 0.2
366 Normal 0.2
937 Tumor 0.2
713 Tumor 0.2
728 Normal 0.2
472 Normal 0.2
284 Normal 0.2
431 Tumor 0.2
662 Normal 0.1
1042 Normal 0.1
967 Tumor 0.1
286 Normal 0.1
497 Tumor 0.1
785 Tumor 0.1
696 Normal 0.1
1016 Normal 0.1
571 Tumor 0.1
982 Normal 0.1
428 Normal 0.1
664 Normal 0.1
267 Tumor 0.1
361 Tumor 0.1
171 Tumor 0.1
786 Normal 0.1
342 Normal 0.1
666 Normal 0.1
228 Normal 0.1
434 Normal 0.1
866 Normal 0.1
212 Normal 0.1
384 Normal 0.1
984 Normal 0.1
545 Tumor 0.1
533 Tumor 0.1
573 Tumor 0.1
647 Tumor 0.1
128 Normal 0.1
214 Normal 0.1
564 Normal 0.1
878 Normal 0.1
618 Normal 0.1
124 Normal 0.1
818 Normal 0.1
362 Normal 0.1
918 Normal 0.1
111 Normal 0.1
412 Normal 0.1
394 Normal 0.1
1044 Normal 0.1
616 Normal 0.1
755 Tumor 0.1
528 Normal 0.1
421 Tumor 0.1
114 Normal 0.1
1015 Tumor 0.1
494 Normal 0.1
525 Tumor 0.1
392 Normal 0.1
628 Normal 0.1
132 Normal 0.1
615 Tumor 0.1
663 Tumor 0.1
527 Tumor 0.1
332 Normal 0.1
136 Normal 0.1
424 Normal 0.1
147 Tumor 0.1
665 Tumor 0.1
944 Normal 0.1
917 Tumor 0.1
328 Normal 0.1
671 Tumor 0.1
916 Normal 0.1
396 Normal 0.1
686 Normal 0.1
482 Normal 0.1
138 Normal 0.1
534 Normal 0.1
858 Normal 0.1
355 Tumor 0.1
231 Tumor 0.1
444 Normal 0.1
526 Normal 0.1
968 Normal 0.1
468 Normal 0.1
515 Tumor 0.1
976 Normal 0.1
452 Normal 0.1
365 Tumor 0.1
464 Normal 0.1
1046 Normal 0.1
127 Tumor 0.1
524 Normal 0.1
484 Normal 0.1
232 Normal 0.1
716 Normal 0.1
715 Tumor 0.1
513 Tumor 0.1
278 Normal 0.1
488 Normal 0.1
126 Normal 0.1
635 Tumor 0.1
435 Tumor 0.1
465 Tumor 0.1
672 Normal 0.1
817 Tumor 0.1
722 Normal 0.1
221 Tumor 0.1
137 Tumor 0.1
161 Tumor 0.1
352 Normal 0.0
386 Normal 0.0
448 Normal 0.0
957 Tumor 0.0
642 Normal 0.0
518 Normal 0.0
1043 Tumor 0.0
951 Tumor 0.0
364 Normal 0.0
493 Tumor 0.0
218 Normal 0.0
923 Tumor 0.0
952 Normal 0.0
224 Normal 0.0
433 Tumor 0.0
388 Normal 0.0
142 Normal 0.0
924 Normal 0.0
868 Normal 0.0
474 Normal 0.0
185 Tumor 0.0
351 Tumor 0.0
257 Tumor 0.0
473 Tumor 0.0
196 Normal 0.0
411 Tumor 0.0
427 Tumor 0.0
953 Tumor 0.0
262 Normal 0.0
217 Tumor 0.0
272 Normal 0.0
271 Tumor 0.0
714 Normal 0.0
391 Tumor 0.0
744 Normal 0.0
546 Normal 0.0
258 Normal 0.0
698 Normal 0.0
363 Tumor N/A
535 Tumor 0.0
695 Tumor 0.0
146 Normal 0.0
554 Normal 0.0
125 Tumor 0.0
574 Normal 0.0
222 Normal 0.0
492 Normal 0.0
344 Normal 0.0
298 Normal 0.0
312 Normal 0.0
416 Normal 0.0
456 Normal 0.0
873 Tumor 0.0
516 Normal 0.0
423 Tumor 0.0
881 Tumor 0.0
867 Tumor 0.0
425 Tumor 0.0
861 Tumor 0.0
211 Tumor 0.0
816 Normal 0.0
697 Tumor 0.0
123 Tumor 0.0
357 Tumor 0.0
213 Tumor 0.0
487 Tumor 0.0
354 Normal 0.0
447 Tumor 0.0
874 Normal 0.0
954 Normal 0.0
536 Normal 0.0
268 Normal 0.0
963 Tumor 0.0
383 Tumor 0.0
857 Tumor 0.0
943 Tumor 0.0
814 Normal 0.0
913 Tumor 0.0
863 Tumor 0.0
627 Tumor -0.1
471 Tumor -0.1
277 Tumor -0.1
283 Tumor -0.1
915 Tumor -0.1
375 Tumor -0.1
141 Tumor -0.1
483 Tumor -0.1
261 Tumor -0.1
914 Normal -0.1
813 Tumor -0.1
883 Tumor -0.1
563 Tumor -0.1
461 Tumor -0.1
956 Normal -0.1
311 Tumor -0.1
455 Tumor -0.1
553 Tumor -0.1
921 Tumor -0.1
975 Tumor -0.1
415 Tumor -0.1
1013 Tumor -0.1
463 Tumor -0.1
477 Tumor -0.1
538 Normal -0.1
977 Tumor -0.1
641 Tumor -0.1
343 Tumor -0.1
313 Tumor -0.1
297 Tumor -0.1
341 Tumor -0.1
741 Tumor -0.1
877 Tumor -0.2
911 Tumor -0.2
823 Tumor -0.2
192 Normal -0.2
498 Normal -0.2
925 Tumor -0.2
1045 Tumor -0.3
491 Tumor -0.3
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 HPA005985
 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

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