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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.
PPIB is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
1107.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3708.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2886.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2674.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2630.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2381.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2278.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2272.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2259.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2257.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2243.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2234.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2232.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2207.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2191.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2169.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2130.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2056.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2030.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2003.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1980.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1931.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1924.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1860.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1847.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1847.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1798.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1783.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1775.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1766.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1755.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1751.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1730.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1729.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1720.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1710.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1705.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1672.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1669.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1657.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1651.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1649.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1639.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1636.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1631.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1607.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1586.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1583.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1575.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1556.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1555.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1552.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1551.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1548.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1547.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1539.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1538.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1537.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1526.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1516.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1503.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1500.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1495.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1483.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1475.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1474.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1470.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1463.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1463.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1457.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1456.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1454.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1451.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1446.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1438.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1430.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1422.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
1421.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1409.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1407.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1402.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1394.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1389.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1377.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1375.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1372.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1359.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1357.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1357.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1356.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1345.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1334.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1333.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1325.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1324.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1321.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1317.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1316.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1306.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1300.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1293.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1293.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1286.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1283.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1277.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1277.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1276.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1272.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1263.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1263.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1258.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1255.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1255.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1246.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1242.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1241.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1240.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1240.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1230.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1227.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1215.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1214.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1211.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1210.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1208.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1203.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1202.0
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1201.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1199.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1197.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1196.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1194.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1193.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1186.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1186.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1180.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1179.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1178.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1175.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1167.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1166.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1165.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1161.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1161.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1153.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1139.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1134.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1130.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1126.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1122.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1119.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1117.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1115.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1114.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1110.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1109.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1106.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1105.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1102.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1090.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1087.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1083.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1079.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1074.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1073.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1072.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1071.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1069.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1065.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1062.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1060.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1057.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1054.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1054.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1053.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1045.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1043.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1033.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1031.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1030.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1029.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1028.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1027.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1026.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1022.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1022.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1014.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1014.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1012.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1006.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1005.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1005.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1003.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1000.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
992.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
991.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
987.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
986.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
986.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
985.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
983.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
977.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
977.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
976.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
975.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
968.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
966.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
965.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
962.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
956.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
954.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
951.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
945.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
937.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
935.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
935.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
933.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
933.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
929.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
927.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
926.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
926.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
920.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
914.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
913.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
910.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
907.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
905.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
900.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
899.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
897.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
892.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
887.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
887.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
886.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
884.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
883.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
883.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
877.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
876.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
870.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
870.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
868.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
867.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
861.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
860.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
857.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
853.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
850.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
844.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
839.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
839.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
838.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
838.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
837.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
835.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
835.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
828.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
827.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
824.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
822.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
818.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
815.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
815.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
813.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
812.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
811.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
809.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
807.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
807.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
807.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
807.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
805.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
803.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
797.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
795.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
793.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
790.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
784.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
784.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
782.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
781.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
780.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
765.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
760.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
751.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
735.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
735.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
732.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
724.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
722.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
703.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
699.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
698.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
695.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
691.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
689.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
685.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
684.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
684.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
682.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
681.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
679.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
674.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
668.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
664.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
658.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
657.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
657.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
656.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
654.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
654.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
650.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
644.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
644.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
634.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
633.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
629.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
625.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
623.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
618.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
610.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
607.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
603.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
603.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
593.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
585.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
583.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
580.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
580.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
575.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
574.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
568.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
563.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
556.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
555.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
547.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
545.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
542.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
531.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
511.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
510.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
509.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
497.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
494.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
494.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
494.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
490.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
489.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
484.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
480.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
471.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
465.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
463.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
461.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
456.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
455.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
451.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
438.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
419.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
391.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
320.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 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.
PPIB is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
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
1052.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45185
89 years, male, NA, stage:2, alive, 600 days
3352.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
2789.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2462.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2337.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
2308.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
2236.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
2124.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
2058.2
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1952.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
1899.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
1861.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1860.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
1860.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
1841.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1786.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1765.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1743.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
1713.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
1711.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1698.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1675.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
1655.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
1631.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
1612.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
1601.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
1581.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1561.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
1557.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
1545.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1538.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
1537.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
1516.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1501.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
1496.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1485.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
1457.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
1445.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1438.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
1430.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1427.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
1420.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1420.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1391.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
1387.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
1365.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
1358.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1348.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
1348.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
1341.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
1341.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1336.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
1296.1
DO45255
81 years, male, NA, stage:3, alive, 720 days
1284.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1279.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
1275.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
1274.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
1273.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
1268.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
1265.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
1250.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
1247.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1240.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1238.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
1217.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
1212.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
1205.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
1186.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
1177.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
1171.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
1169.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
1155.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1153.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
1150.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
1150.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1148.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1147.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
1143.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1139.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
1133.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
1132.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
1129.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1127.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1119.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1118.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1116.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1115.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
1115.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
1107.9
DO45267
73 years, male, NA, stage:3, dead, 570 days
1106.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
1097.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
1090.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
1089.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1083.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1082.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
1074.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1073.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1060.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
1057.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1057.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1054.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1048.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1043.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
1042.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
1038.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
1034.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1030.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
1029.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
1027.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1008.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
987.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
984.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
983.1
DO45287
74 years, male, NA, stage:1, alive, 390 days
981.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
977.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
972.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
969.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
968.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
964.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
959.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
952.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
952.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
951.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
947.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
945.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
938.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
934.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
929.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
926.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
919.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
917.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
916.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
913.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
913.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
910.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
904.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
904.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
893.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
884.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
878.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
877.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
874.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
873.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
872.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
868.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
866.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
861.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
853.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
851.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
847.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
846.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
843.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
838.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
836.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
833.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
832.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
823.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
810.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
809.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
809.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
796.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
794.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
790.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
786.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
776.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
775.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
769.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
766.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
765.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
764.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
761.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
752.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
750.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
748.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
742.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
741.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
737.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
736.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
734.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
715.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
709.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
703.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
703.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
697.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
688.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
687.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
685.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
680.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
679.3
DO45261
74 years, male, NA, stage:3, alive, 990 days
673.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
662.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
654.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
645.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
644.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
638.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
636.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
629.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
627.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
614.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
598.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
596.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
593.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
592.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
591.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
586.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
583.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
568.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
562.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
559.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
556.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
556.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
549.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
545.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
534.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
529.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
521.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
517.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
515.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
505.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
502.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
500.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
500.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
462.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
451.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
441.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
429.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
414.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
406.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
402.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
364.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
362.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
355.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
227
Tumor
1.3
445
Tumor
1.0
615
Tumor
1.0
857
Tumor
0.9
357
Tumor
0.8
527
Tumor
0.8
387
Tumor
0.8
467
Tumor
0.7
745
Tumor
0.7
777
Tumor
0.6
813
Tumor
0.6
727
Tumor
0.6
1027
Tumor
0.6
135
Tumor
0.5
435
Tumor
0.5
1021
Tumor
0.5
713
Tumor
0.5
481
Tumor
0.4
1044
Normal
0.4
661
Tumor
0.4
955
Tumor
0.4
137
Tumor
0.4
363
Tumor
0.4
523
Tumor
0.4
1014
Normal
0.4
285
Tumor
0.4
937
Tumor
0.3
863
Tumor
0.3
517
Tumor
0.3
866
Normal
0.3
1015
Tumor
0.3
851
Tumor
0.3
878
Normal
0.3
1043
Tumor
0.3
636
Normal
0.3
743
Tumor
0.3
923
Tumor
0.3
195
Tumor
0.3
778
Normal
0.3
922
Normal
0.3
816
Normal
0.3
286
Normal
0.3
514
Normal
0.3
392
Normal
0.3
314
Normal
0.3
984
Normal
0.3
331
Tumor
0.3
411
Tumor
0.2
696
Normal
0.2
814
Normal
0.2
447
Tumor
0.2
443
Tumor
0.2
385
Tumor
0.2
648
Normal
0.2
376
Normal
0.2
232
Normal
0.2
635
Tumor
0.2
526
Normal
0.2
554
Normal
0.2
978
Normal
0.2
572
Normal
0.2
944
Normal
0.2
785
Tumor
0.2
571
Tumor
0.2
412
Normal
0.2
918
Normal
0.2
212
Normal
0.2
1016
Normal
0.2
938
Normal
0.2
1032
Normal
0.2
528
Normal
0.2
1022
Normal
0.2
524
Normal
0.2
916
Normal
0.2
926
Normal
0.2
746
Normal
0.2
1028
Normal
0.2
755
Tumor
0.2
824
Normal
0.2
368
Normal
0.2
431
Tumor
0.2
468
Normal
0.2
818
Normal
0.2
1026
Normal
0.2
518
Normal
0.2
466
Normal
0.2
873
Tumor
0.2
426
Normal
0.2
536
Normal
0.2
228
Normal
0.2
332
Normal
0.2
912
Normal
0.2
697
Tumor
0.2
662
Normal
0.2
852
Normal
0.1
534
Normal
0.1
148
Normal
0.1
982
Normal
0.1
284
Normal
0.1
414
Normal
0.1
963
Tumor
0.1
744
Normal
0.1
952
Normal
0.1
446
Normal
0.1
494
Normal
0.1
568
Normal
0.1
686
Normal
0.1
354
Normal
0.1
261
Tumor
0.1
433
Tumor
0.1
738
Normal
0.1
1042
Normal
0.1
698
Normal
0.1
627
Tumor
0.1
915
Tumor
0.1
1046
Normal
0.1
557
Tumor
0.1
492
Normal
0.1
672
Normal
0.1
983
Tumor
0.1
452
Normal
0.1
257
Tumor
0.1
756
Normal
0.1
564
Normal
0.1
742
Normal
0.1
367
Tumor
0.1
353
Tumor
0.1
1025
Tumor
0.1
142
Normal
0.1
364
Normal
0.1
714
Normal
0.1
488
Normal
0.1
358
Normal
0.1
436
Normal
0.1
546
Normal
0.1
356
Normal
0.1
484
Normal
0.1
864
Normal
0.1
968
Normal
0.1
448
Normal
0.1
815
Tumor
0.1
858
Normal
0.1
642
Normal
0.1
862
Normal
0.1
925
Tumor
0.1
558
Normal
0.1
432
Normal
0.1
352
Normal
0.1
924
Normal
0.1
131
Tumor
0.1
884
Normal
0.1
196
Normal
0.1
867
Tumor
0.1
444
Normal
0.1
882
Normal
0.1
723
Tumor
0.1
478
Normal
0.1
728
Normal
0.1
111
Normal
0.0
187
Tumor
0.0
953
Tumor
0.0
616
Normal
0.0
954
Normal
0.0
262
Normal
0.0
394
Normal
0.0
474
Normal
0.0
628
Normal
0.0
365
Tumor
0.0
482
Normal
0.0
424
Normal
0.0
563
Tumor
0.0
722
Normal
0.0
976
Normal
0.0
498
Normal
0.0
268
Normal
0.0
272
Normal
0.0
185
Tumor
0.0
258
Normal
0.0
664
Normal
0.0
981
Tumor
0.0
666
Normal
0.0
737
Tumor
0.0
958
Normal
0.0
538
Normal
0.0
516
Normal
0.0
172
Normal
0.0
874
Normal
0.0
328
Normal
0.0
422
Normal
0.0
868
Normal
0.0
113
Tumor
0.0
515
Tumor
0.0
956
Normal
0.0
327
Tumor
0.0
384
Normal
0.0
132
Normal
0.0
911
Tumor
0.0
393
Tumor
0.0
186
Normal
0.0
464
Normal
0.0
188
Normal
0.0
298
Normal
0.0
721
Tumor
0.0
574
Normal
0.0
477
Tumor
0.0
162
Normal
0.0
513
Tumor
0.0
342
Normal
0.0
161
Tumor
0.0
128
Normal
0.0
434
Normal
0.0
312
Normal
0.0
388
Normal
0.0
138
Normal
0.0
171
Tumor
0.0
914
Normal
0.0
114
Normal
0.0
741
Tumor
-0.1
472
Normal
-0.1
716
Normal
-0.1
964
Normal
-0.1
975
Tumor
-0.1
362
Normal
-0.1
573
Tumor
-0.1
341
Tumor
-0.1
966
Normal
-0.1
917
Tumor
-0.1
218
Normal
-0.1
361
Tumor
-0.1
222
Normal
-0.1
278
Normal
-0.1
214
Normal
-0.1
421
Tumor
-0.1
553
Tumor
-0.1
618
Normal
-0.1
396
Normal
-0.1
124
Normal
-0.1
423
Tumor
-0.1
136
Normal
-0.1
277
Tumor
-0.1
386
Normal
-0.1
461
Tumor
-0.1
913
Tumor
-0.1
217
Tumor
-0.1
455
Tumor
-0.1
343
Tumor
-0.1
344
Normal
-0.1
416
Normal
-0.1
355
Tumor
-0.1
1045
Tumor
-0.1
112
Tumor
-0.1
146
Normal
-0.1
191
Tumor
-0.2
383
Tumor
-0.2
127
Tumor
-0.2
957
Tumor
-0.2
428
Normal
-0.2
545
Tumor
-0.2
823
Tumor
-0.2
147
Tumor
-0.2
881
Tumor
-0.2
695
Tumor
-0.2
415
Tumor
-0.2
456
Normal
-0.2
126
Normal
-0.2
1031
Tumor
-0.2
663
Tumor
-0.2
471
Tumor
-0.2
366
Normal
-0.2
223
Tumor
-0.2
224
Normal
-0.2
883
Tumor
-0.2
567
Tumor
-0.2
525
Tumor
-0.2
877
Tumor
-0.2
533
Tumor
-0.2
313
Tumor
-0.2
297
Tumor
-0.2
271
Tumor
-0.2
311
Tumor
-0.2
483
Tumor
-0.2
213
Tumor
-0.2
861
Tumor
-0.2
395
Tumor
-0.3
951
Tumor
-0.3
351
Tumor
-0.3
413
Tumor
-0.3
473
Tumor
-0.3
1041
Tumor
-0.3
817
Tumor
-0.3
145
Tumor
-0.3
231
Tumor
-0.3
375
Tumor
-0.3
211
Tumor
-0.3
283
Tumor
-0.3
535
Tumor
-0.3
192
Normal
-0.3
451
Tumor
-0.3
463
Tumor
-0.3
391
Tumor
-0.3
497
Tumor
-0.3
267
Tumor
-0.3
462
Normal
-0.3
965
Tumor
-0.3
141
Tumor
-0.3
977
Tumor
-0.3
427
Tumor
-0.4
493
Tumor
-0.4
786
Normal
-0.4
943
Tumor
-0.4
1013
Tumor
-0.4
487
Tumor
-0.4
425
Tumor
-0.4
665
Tumor
-0.4
537
Tumor
-0.5
617
Tumor
-0.5
715
Tumor
-0.5
724
Normal
-0.5
921
Tumor
-0.5
671
Tumor
-0.5
221
Tumor
-0.5
685
Tumor
-0.5
491
Tumor
-0.6
641
Tumor
-0.6
865
Tumor
-0.6
967
Tumor
-0.7
123
Tumor
-0.7
647
Tumor
-0.8
125
Tumor
-0.8
465
Tumor
-0.9
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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.