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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.
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.
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
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.
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.
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
Show allShow less
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
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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.