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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 TPM
974.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2512.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2256.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2123.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1921.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1904.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1822.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1820.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1697.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1661.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1628.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1611.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1588.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1582.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1582.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1577.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1543.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1540.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1532.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1501.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1496.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1495.6
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1494.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1493.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1481.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1461.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1457.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1451.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1447.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1446.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1435.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1434.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1430.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1425.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1422.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1397.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1390.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1379.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1363.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1360.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1360.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1359.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1355.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1348.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1347.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1326.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1321.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1299.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1292.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1290.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1289.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1287.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1286.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1278.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1277.8
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1276.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1275.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1273.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1271.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1265.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1262.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1255.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1252.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1243.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1239.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1235.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1233.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1231.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1229.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1222.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1222.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1219.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1217.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1214.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1213.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1213.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1211.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1199.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1193.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1191.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1186.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1178.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1175.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1165.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1165.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1162.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1161.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1160.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1153.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1153.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1152.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1148.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1143.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1140.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1139.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1136.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1136.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1135.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1135.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1126.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1114.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1111.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1110.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1105.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1105.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1098.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1097.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1091.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1088.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1084.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1083.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1078.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1071.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1070.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1066.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1060.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1059.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1059.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1057.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1056.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1044.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1043.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1043.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1043.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1042.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1042.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1042.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1039.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1037.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1034.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1034.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1032.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1031.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1029.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1025.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1024.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1023.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1019.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1018.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1016.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1016.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1016.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1011.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1007.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1007.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1006.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1005.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1000.5
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
998.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
996.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
995.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
981.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
977.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
975.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
974.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
970.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
969.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
964.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
963.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
961.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
961.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
958.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
958.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
955.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
955.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
954.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
953.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
951.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
950.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
949.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
948.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
948.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
945.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
942.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
939.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
937.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
936.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
934.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
931.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
931.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
931.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
930.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
923.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
914.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
912.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
912.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
911.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
909.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
909.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
907.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
907.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
906.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
903.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
902.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
902.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
902.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
901.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
900.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
899.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
893.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
888.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
886.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
884.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
881.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
878.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
878.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
877.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
877.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
876.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
875.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
874.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
874.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
873.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
869.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
868.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
868.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
866.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
865.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
864.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
857.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
857.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
855.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
855.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
855.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
851.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
849.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
848.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
848.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
848.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
843.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
843.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
843.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
839.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
839.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
838.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
838.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
837.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
835.0
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
832.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
829.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
828.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
823.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
820.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
813.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
813.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
810.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
810.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
808.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
806.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
801.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
797.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
795.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
795.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
792.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
792.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
787.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
786.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
783.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
781.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
780.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
779.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
778.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
777.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
774.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
772.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
772.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
769.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
768.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
764.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
760.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
759.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
758.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
756.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
755.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
749.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
746.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
744.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
740.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
740.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
739.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
739.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
735.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
734.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
732.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
730.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
728.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
728.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
728.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
727.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
727.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
726.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
725.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
724.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
723.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
718.0
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
716.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
715.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
712.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
700.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
688.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
682.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
681.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
675.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
675.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
674.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
672.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
670.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
665.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
662.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
661.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
661.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
658.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
656.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
655.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
652.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
649.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
649.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
648.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
648.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
636.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
635.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
629.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
628.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
627.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
624.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
622.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
621.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
621.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
621.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
621.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
616.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
612.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
605.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
599.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
597.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
594.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
594.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
593.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
590.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
585.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
582.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
581.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
580.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
580.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
580.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
579.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
575.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
571.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
546.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
541.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
536.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
530.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
530.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
529.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
528.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
525.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
508.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
499.9
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
496.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
478.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
421.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
415.2
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 TPM
538.8
Number of samples
231
Samples
Sample
Description
TPM
DO50839
47 years, female, NA, stage:3, alive, 330 days
1404.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
1377.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
1330.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
1104.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
1061.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1051.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
1025.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
968.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
897.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
878.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
878.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
868.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
865.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
865.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
857.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
856.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
845.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
836.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
828.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
826.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
814.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
812.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
810.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
791.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
784.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
772.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
770.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
767.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
765.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
762.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
760.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
743.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
739.5
DO48697
64 years, female, NA, stage:2, dead, 810 days
730.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
727.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
726.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
725.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
711.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
704.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
702.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
702.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
700.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
699.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
695.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
694.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
685.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
682.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
678.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
676.6
DO45243
74 years, female, NA, stage:3, alive, 930 days
675.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
675.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
673.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
666.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
662.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
659.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
654.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
654.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
651.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
651.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
646.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
638.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
637.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
627.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
621.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
613.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
612.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
607.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
605.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
601.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
599.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
598.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
597.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
595.4
DO45273
62 years, male, NA, stage:2, alive, 480 days
593.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
592.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
588.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
585.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
582.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
578.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
576.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
570.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
570.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
569.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
566.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
562.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
560.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
554.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
553.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
552.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
549.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
548.5
DO45139
63 years, male, NA, stage:3, alive, 1320 days
542.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
536.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
536.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
535.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
535.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
534.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
529.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
525.3
DO48693
71 years, male, NA, stage:2, alive, 900 days
524.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
522.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
521.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
520.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
519.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
518.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
512.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
507.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
507.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
506.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
505.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
503.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
499.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
498.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
496.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
495.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
493.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
491.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
491.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
491.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
490.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
488.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
487.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
486.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
482.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
479.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
478.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
478.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
477.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
476.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
473.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
469.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
469.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
468.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
468.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
466.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
466.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
466.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
461.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
456.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
454.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
449.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
449.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
448.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
447.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
445.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
444.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
444.2
DO45203
71 years, female, NA, stage:2, alive, 1170 days
443.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
441.5
DO50800
74 years, male, NA, stage:2, alive, 510 days
439.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
438.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
434.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
431.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
430.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
430.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
430.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
427.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
424.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
424.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
424.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
423.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
422.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
421.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
421.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
417.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
417.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
414.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
407.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
405.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
401.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
400.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
399.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
399.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
398.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
397.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
397.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
395.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
395.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
391.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
388.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
387.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
387.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
385.5
DO45167
67 years, male, NA, stage:2, dead, 1440 days
384.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
384.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
382.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
382.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
381.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
378.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
377.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
376.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
373.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
368.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
367.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
365.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
365.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
362.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
358.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
357.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
354.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
351.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
347.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
346.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
346.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
346.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
344.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
340.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
339.7
DO45195
62 years, male, NA, stage:1, alive, 390 days
336.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
331.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
330.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
329.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
326.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
323.9
DO23524
71 years, female, NA, stage:2, alive, 1050 days
320.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
315.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
314.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
309.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
309.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
303.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
296.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
292.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
267.3
DO23551
73 years, male, NA, stage:3, dead, 150 days
267.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
260.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
258.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
257.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
237.6
DO45239
42 years, male, NA, stage:2, alive, 870 days
232.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
199.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
140.1
Show allShow less
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
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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.