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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.
FAU 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
1156.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3086.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2775.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2566.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2322.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2321.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2306.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2269.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2158.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
2070.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2043.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2004.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1974.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1953.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1935.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1926.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1926.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1910.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1899.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1864.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1860.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1843.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1834.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1823.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1813.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1810.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1804.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1796.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1765.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1761.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1755.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1750.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1741.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1702.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1686.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1679.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1653.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1651.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1646.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1635.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1616.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1611.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1608.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1601.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1598.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1595.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1576.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1567.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1561.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1558.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1553.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1549.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1538.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1538.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1532.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1530.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1529.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1521.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1520.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1515.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1505.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1499.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1497.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1491.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1490.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1484.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1477.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1475.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1475.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1467.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1461.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1453.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1452.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1451.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1448.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1445.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1441.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1439.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1432.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1431.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1428.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1426.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1425.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1424.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1421.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1420.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1418.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1401.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1378.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1374.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1368.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1367.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1364.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1364.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1361.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1356.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1354.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1353.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1345.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1341.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1341.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1330.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1325.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1323.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1311.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1298.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1295.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1294.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1284.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1284.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1279.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1279.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1277.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1263.2
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1262.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1252.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1248.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1248.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1247.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1242.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1242.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1241.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1234.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1234.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1231.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1230.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1229.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1229.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1226.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1225.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1225.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1221.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1220.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1219.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1218.5
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1216.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1213.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1210.5
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1203.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1201.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1199.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1198.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1198.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1196.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1196.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1194.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1190.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1188.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1186.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1185.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1169.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1165.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1164.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1163.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1156.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1155.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1154.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1143.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1139.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1139.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1136.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1130.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1128.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1115.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1113.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1112.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1112.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1111.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1109.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1108.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1104.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1103.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1100.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1100.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1096.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1095.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1094.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1091.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1088.8
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1087.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1086.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1086.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1086.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1080.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1079.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1074.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1074.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1071.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1070.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1070.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1068.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1068.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1063.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1062.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1060.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1059.4
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1056.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1054.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1044.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1044.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1044.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1041.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1037.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1035.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1035.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1034.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1028.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1028.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1024.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1019.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1018.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1017.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1017.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1013.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1011.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1011.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1009.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1006.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1006.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1005.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1003.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1001.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1001.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
999.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
997.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
996.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
995.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
993.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
989.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
986.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
984.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
981.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
979.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
979.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
978.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
975.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
975.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
973.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
969.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
969.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
967.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
963.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
962.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
959.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
957.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
956.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
956.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
953.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
946.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
942.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
941.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
939.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
930.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
927.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
927.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
920.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
916.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
915.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
914.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
911.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
911.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
904.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
902.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
899.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
895.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
894.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
893.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
891.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
888.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
887.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
881.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
877.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
876.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
873.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
873.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
870.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
862.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
859.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
857.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
857.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
855.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
854.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
852.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
850.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
849.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
848.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
848.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
842.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
840.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
838.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
836.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
828.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
826.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
823.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
822.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
820.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
819.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
815.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
813.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
807.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
805.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
804.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
800.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
787.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
779.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
778.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
775.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
769.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
767.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
764.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
762.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
761.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
759.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
753.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
752.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
751.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
751.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
740.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
735.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
735.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
733.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
730.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
728.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
726.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
722.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
722.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
719.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
716.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
712.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
709.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
706.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
699.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
698.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
697.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
693.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
691.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
688.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
683.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
676.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
675.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
675.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
674.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
673.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
672.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
666.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
654.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
648.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
638.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
634.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
633.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
632.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
612.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
612.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
610.3
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
605.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
599.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
590.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
578.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
558.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
555.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
490.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
487.4
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.
FAU 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
909.1
Number of samples
231
Samples
Sample
Description
pTPM
DO45285
59 years, male, NA, stage:3, alive, 480 days
1901.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1806.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
1752.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1717.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
1706.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
1685.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
1661.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
1625.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
1623.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
1622.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
1596.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1591.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
1448.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1438.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1436.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
1423.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
1403.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
1393.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1385.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
1376.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1375.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
1375.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1347.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1345.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
1337.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1334.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
1329.7
DO45211
76 years, male, NA, stage:3, alive, 240 days
1315.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
1287.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1286.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
1285.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
1282.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
1276.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
1242.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1239.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1238.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1235.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
1225.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
1221.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
1205.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
1205.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
1198.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
1195.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
1194.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1171.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
1163.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
1160.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
1151.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
1145.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1142.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
1140.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
1137.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
1135.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1131.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
1120.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
1118.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
1111.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1104.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
1099.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
1087.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1075.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1073.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1071.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1069.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
1065.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
1043.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
1038.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
1036.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1036.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
1027.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
1024.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1023.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1021.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
1020.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
1019.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1019.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
1012.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
1007.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
989.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
984.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
983.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
978.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
975.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
973.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
968.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
965.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
958.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
949.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
948.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
947.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
941.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
937.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
935.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
935.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
928.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
918.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
917.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
914.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
903.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
903.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
900.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
897.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
890.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
889.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
869.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
869.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
859.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
855.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
847.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
846.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
838.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
836.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
833.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
830.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
828.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
827.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
824.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
821.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
820.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
817.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
816.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
816.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
815.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
813.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
808.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
806.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
804.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
802.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
799.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
799.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
798.1
DO45191
61 years, female, NA, stage:2, alive, 1200 days
794.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
791.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
789.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
789.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
788.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
785.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
783.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
781.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
776.0
DO48733
72 years, male, NA, stage:2, alive, 600 days
775.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
768.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
768.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
761.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
760.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
751.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
748.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
748.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
746.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
741.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
741.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
737.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
736.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
735.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
734.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
733.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
729.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
729.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
726.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
724.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
721.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
721.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
715.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
705.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
704.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
703.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
695.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
689.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
689.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
688.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
686.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
686.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
684.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
682.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
681.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
680.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
679.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
671.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
671.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
668.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
668.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
664.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
664.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
661.0
DO23513
76 years, male, NA, stage:3, alive, 1200 days
655.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
649.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
645.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
643.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
640.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
631.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
624.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
618.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
612.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
603.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
599.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
599.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
599.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
593.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
591.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
591.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
587.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
587.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
585.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
582.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
580.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
580.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
578.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
577.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
574.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
571.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
553.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
553.6
DO227801
77 years, female, NA, stage:1, alive, 660 days
549.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
548.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
546.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
543.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
529.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
523.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
517.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
516.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
513.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
509.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
505.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
504.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
464.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
420.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
413.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
402.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
401.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
327.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
278.5
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
314
Normal
0.8
557
Tumor
0.8
278
Normal
0.8
332
Normal
0.8
277
Tumor
0.7
353
Tumor
0.7
267
Tumor
0.6
232
Normal
0.6
331
Tumor
0.6
113
Tumor
0.6
413
Tumor
0.6
1021
Tumor
0.6
112
Tumor
0.5
312
Normal
0.5
661
Tumor
0.5
358
Normal
0.5
135
Tumor
0.5
222
Normal
0.5
367
Tumor
0.5
214
Normal
0.5
672
Normal
0.5
564
Normal
0.5
567
Tumor
0.5
467
Tumor
0.5
284
Normal
0.5
127
Tumor
0.5
636
Normal
0.4
662
Normal
0.4
568
Normal
0.4
258
Normal
0.4
393
Tumor
0.4
664
Normal
0.4
313
Tumor
0.4
136
Normal
0.4
327
Tumor
0.4
351
Tumor
0.4
195
Tumor
0.4
187
Tumor
0.4
344
Normal
0.4
213
Tumor
0.4
196
Normal
0.4
642
Normal
0.4
114
Normal
0.4
357
Tumor
0.4
451
Tumor
0.4
217
Tumor
0.4
111
Normal
0.4
128
Normal
0.4
218
Normal
0.4
311
Tumor
0.3
124
Normal
0.3
818
Normal
0.3
666
Normal
0.3
648
Normal
0.3
618
Normal
0.3
452
Normal
0.3
228
Normal
0.3
191
Tumor
0.3
126
Normal
0.3
746
Normal
0.3
376
Normal
0.3
342
Normal
0.3
172
Normal
0.3
571
Tumor
0.3
392
Normal
0.3
573
Tumor
0.3
221
Tumor
0.3
262
Normal
0.3
223
Tumor
0.3
352
Normal
0.3
558
Normal
0.3
756
Normal
0.3
617
Tumor
0.3
224
Normal
0.3
724
Normal
0.3
227
Tumor
0.3
443
Tumor
0.3
426
Normal
0.3
572
Normal
0.3
272
Normal
0.3
188
Normal
0.3
387
Tumor
0.3
866
Normal
0.3
574
Normal
0.3
431
Tumor
0.3
858
Normal
0.3
824
Normal
0.3
862
Normal
0.3
231
Tumor
0.3
1016
Normal
0.3
456
Normal
0.3
362
Normal
0.3
257
Tumor
0.3
665
Tumor
0.3
261
Tumor
0.3
422
Normal
0.3
414
Normal
0.3
388
Normal
0.3
563
Tumor
0.3
1015
Tumor
0.3
685
Tumor
0.2
615
Tumor
0.2
148
Normal
0.2
132
Normal
0.2
366
Normal
0.2
628
Normal
0.2
394
Normal
0.2
663
Tumor
0.2
864
Normal
0.2
391
Tumor
0.2
865
Tumor
0.2
427
Tumor
0.2
286
Normal
0.2
341
Tumor
0.2
627
Tumor
0.2
1027
Tumor
0.2
955
Tumor
0.2
162
Normal
0.2
354
Normal
0.2
186
Normal
0.2
777
Tumor
0.2
384
Normal
0.2
423
Tumor
0.2
446
Normal
0.2
434
Normal
0.2
298
Normal
0.2
171
Tumor
0.2
436
Normal
0.2
147
Tumor
0.2
424
Normal
0.2
185
Tumor
0.2
466
Normal
0.2
873
Tumor
0.2
396
Normal
0.2
271
Tumor
0.2
468
Normal
0.2
361
Tumor
0.2
743
Tumor
0.2
356
Normal
0.2
786
Normal
0.2
465
Tumor
0.2
671
Tumor
0.2
137
Tumor
0.2
425
Tumor
0.2
851
Tumor
0.2
852
Normal
0.2
816
Normal
0.2
138
Normal
0.2
141
Tumor
0.2
145
Tumor
0.1
421
Tumor
0.1
268
Normal
0.1
386
Normal
0.1
445
Tumor
0.1
635
Tumor
0.1
515
Tumor
0.1
297
Tumor
0.1
867
Tumor
0.1
815
Tumor
0.1
878
Normal
0.1
462
Normal
0.1
125
Tumor
0.1
1026
Normal
0.1
463
Tumor
0.1
142
Normal
0.1
517
Tumor
0.1
714
Normal
0.1
455
Tumor
0.1
721
Tumor
0.1
616
Normal
0.1
365
Tumor
0.1
411
Tumor
0.1
523
Tumor
0.1
923
Tumor
0.1
368
Normal
0.1
727
Tumor
0.1
123
Tumor
0.1
686
Normal
0.1
742
Normal
0.1
432
Normal
0.1
1022
Normal
0.1
874
Normal
0.1
921
Tumor
0.1
744
Normal
0.1
146
Normal
0.1
912
Normal
0.1
131
Tumor
0.1
435
Tumor
0.1
395
Tumor
0.1
161
Tumor
0.1
647
Tumor
0.1
192
Normal
0.1
722
Normal
0.1
738
Normal
0.1
728
Normal
0.1
343
Tumor
0.1
385
Tumor
0.0
464
Normal
0.0
965
Tumor
0.0
964
Normal
0.0
695
Tumor
0.0
537
Tumor
0.0
914
Normal
0.0
778
Normal
0.0
723
Tumor
0.0
375
Tumor
0.0
967
Tumor
0.0
868
Normal
0.0
944
Normal
0.0
983
Tumor
0.0
212
Normal
0.0
433
Tumor
0.0
857
Tumor
0.0
461
Tumor
0.0
952
Normal
0.0
696
Normal
0.0
428
Normal
0.0
1028
Normal
0.0
745
Tumor
0.0
285
Tumor
0.0
982
Normal
0.0
881
Tumor
0.0
951
Tumor
0.0
412
Normal
0.0
364
Normal
0.0
448
Normal
0.0
884
Normal
0.0
814
Normal
0.0
444
Normal
0.0
715
Tumor
0.0
937
Tumor
0.0
984
Normal
-0.1
882
Normal
-0.1
1044
Normal
-0.1
863
Tumor
-0.1
918
Normal
-0.1
917
Tumor
-0.1
938
Normal
-0.1
211
Tumor
-0.1
1046
Normal
-0.1
518
Normal
-0.1
966
Normal
-0.1
968
Normal
-0.1
497
Tumor
-0.1
383
Tumor
-0.1
861
Tumor
-0.1
641
Tumor
-0.1
514
Normal
-0.1
447
Tumor
-0.1
716
Normal
-0.1
488
Normal
-0.1
526
Normal
-0.1
494
Normal
-0.1
1025
Tumor
-0.1
698
Normal
-0.1
525
Tumor
-0.1
283
Tumor
-0.1
546
Normal
-0.1
975
Tumor
-0.1
883
Tumor
-0.1
1014
Normal
-0.2
785
Tumor
-0.2
926
Normal
-0.2
817
Tumor
-0.2
528
Normal
-0.2
328
Normal
-0.2
755
Tumor
-0.2
527
Tumor
-0.2
915
Tumor
-0.2
416
Normal
-0.2
481
Tumor
-0.2
953
Tumor
-0.2
922
Normal
-0.2
534
Normal
-0.2
813
Tumor
-0.2
925
Tumor
-0.2
956
Normal
-0.2
355
Tumor
-0.2
976
Normal
-0.2
913
Tumor
-0.2
924
Normal
-0.2
1043
Tumor
-0.2
474
Normal
-0.2
981
Tumor
-0.2
737
Tumor
-0.2
1042
Normal
-0.2
363
Tumor
-0.2
533
Tumor
-0.3
513
Tumor
-0.3
545
Tumor
-0.3
535
Tumor
-0.3
487
Tumor
-0.3
473
Tumor
-0.3
916
Normal
-0.3
1032
Normal
-0.3
1045
Tumor
-0.3
958
Normal
-0.3
516
Normal
-0.3
957
Tumor
-0.3
978
Normal
-0.3
823
Tumor
-0.3
977
Tumor
-0.3
471
Tumor
-0.3
697
Tumor
-0.3
954
Normal
-0.3
1013
Tumor
-0.3
741
Tumor
-0.4
482
Normal
-0.4
524
Normal
-0.4
415
Tumor
-0.4
498
Normal
-0.4
472
Normal
-0.4
493
Tumor
-0.4
911
Tumor
-0.4
943
Tumor
-0.4
477
Tumor
-0.4
713
Tumor
-0.4
484
Normal
-0.5
536
Normal
-0.5
492
Normal
-0.5
483
Tumor
-0.5
538
Normal
-0.6
963
Tumor
-0.6
553
Tumor
-0.6
877
Tumor
-0.6
1031
Tumor
-0.6
478
Normal
-0.6
554
Normal
-0.6
1041
Tumor
-0.7
491
Tumor
-1.0
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.