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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.
PPIA is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000021
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.
36%
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.
53%
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
1219.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
3656.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3553.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
3474.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
3040.2
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2971.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2928.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2712.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2674.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2672.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2555.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
2555.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2542.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2461.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2434.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2433.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2424.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2349.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2331.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2294.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2252.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2195.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2193.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2184.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2179.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2157.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2133.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2104.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2097.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2079.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2048.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2044.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1987.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1954.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1907.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1901.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1895.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1883.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1855.4
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1852.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1834.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1815.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1804.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1790.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1783.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1782.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1770.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1760.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1755.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1742.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1733.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1705.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
1686.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1673.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1665.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1660.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1658.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1633.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1630.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1599.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1597.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1597.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1594.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
1590.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1569.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1568.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1558.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1555.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1546.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1540.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1533.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1525.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1525.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1522.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1515.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1511.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1510.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1500.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1500.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1495.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1487.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1483.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1483.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1482.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1481.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1476.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1466.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1465.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1465.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1456.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1449.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1445.0
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1421.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1419.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1417.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1389.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1389.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1382.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1382.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1379.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1371.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1370.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1365.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1360.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1359.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1355.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1354.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1347.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1345.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1345.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1344.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1344.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1341.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1340.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1335.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1330.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1321.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1321.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1320.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1317.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1316.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1314.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1304.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1293.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1291.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1285.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1279.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1278.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1278.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1277.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1276.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1274.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1267.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1263.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1259.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1258.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1258.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1250.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1247.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1243.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1241.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1235.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1233.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1230.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
1228.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1224.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1222.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1221.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1220.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1213.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1206.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1206.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1205.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1204.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1203.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1195.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1193.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1192.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1189.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1183.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
1183.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1177.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1176.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1176.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1167.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1161.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1156.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1152.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1151.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1150.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1148.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1146.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1146.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1144.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1135.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1134.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1131.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1131.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1123.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1122.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1122.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1119.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1116.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1111.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1098.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1098.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1095.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1094.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1091.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1089.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1087.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1085.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1082.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1076.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1072.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1072.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1066.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1065.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1059.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1055.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1047.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1047.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1043.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1040.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1040.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1038.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1031.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1030.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1028.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1028.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1024.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1018.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1017.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1015.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1014.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1011.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1007.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1007.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1001.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1000.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
991.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
986.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
985.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
984.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
977.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
976.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
976.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
974.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
972.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
971.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
969.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
968.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
965.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
963.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
959.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
954.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
950.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
946.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
941.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
940.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
936.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
936.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
928.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
922.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
919.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
919.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
917.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
913.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
911.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
909.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
907.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
904.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
897.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
894.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
892.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
892.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
891.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
890.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
889.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
889.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
885.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
884.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
877.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
877.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
875.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
875.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
874.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
873.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
868.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
867.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
865.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
862.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
861.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
860.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
860.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
858.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
858.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
854.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
850.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
849.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
845.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
844.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
841.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
837.3
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
836.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
834.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
830.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
828.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
825.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
823.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
813.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
812.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
808.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
805.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
804.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
802.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
802.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
792.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
791.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
789.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
778.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
778.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
777.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
775.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
774.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
774.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
774.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
771.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
761.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
754.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
749.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
738.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
735.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
734.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
733.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
732.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
732.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
728.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
728.0
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
722.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
719.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
719.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
710.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
709.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
693.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
688.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
688.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
686.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
686.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
686.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
680.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
677.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
667.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
665.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
664.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
658.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
641.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
632.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
631.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
630.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
629.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
628.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
626.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
621.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
621.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
606.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
602.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
602.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
594.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
584.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
579.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
558.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
533.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
531.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
529.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
506.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
494.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
491.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
488.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
483.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
436.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
417.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 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.
PPIA is validated prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
4.6e-10
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.
0%
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.
72%
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
476.7
Number of samples
231
Samples
Sample
Description
TPM
DO23519
65 years, male, NA, stage:3, alive, 630 days
1926.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
1639.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1056.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
1014.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1001.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
984.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
959.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
947.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
930.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
913.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
903.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
897.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
895.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
876.2
DO48717
54 years, male, NA, stage:4, dead, 180 days
872.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
868.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
865.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
843.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
842.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
835.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
831.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
829.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
807.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
795.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
762.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
761.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
756.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
728.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
726.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
699.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
694.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
691.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
690.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
689.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
680.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
677.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
674.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
672.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
670.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
651.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
649.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
644.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
643.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
636.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
636.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
635.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
634.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
627.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
608.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
606.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
603.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
601.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
600.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
596.0
DO50804
81 years, male, NA, stage:2, alive, 720 days
579.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
569.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
566.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
565.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
555.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
553.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
549.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
547.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
546.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
535.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
529.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
527.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
526.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
516.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
512.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
509.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
509.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
507.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
506.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
503.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
501.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
500.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
494.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
492.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
492.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
492.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
490.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
490.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
490.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
486.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
486.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
481.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
481.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
480.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
480.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
476.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
475.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
474.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
473.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
472.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
472.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
471.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
467.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
467.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
466.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
466.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
466.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
462.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
460.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
459.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
454.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
454.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
453.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
453.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
447.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
446.7
DO45105
61 years, male, NA, stage:1, alive, 1680 days
445.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
445.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
445.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
443.8
DO48719
80 years, male, NA, stage:2, alive, 690 days
439.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
437.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
436.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
434.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
433.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
427.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
426.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
426.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
426.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
424.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
419.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
414.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
414.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
413.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
412.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
411.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
411.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
410.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
407.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
405.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
404.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
401.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
400.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
399.9
DO45231
84 years, male, NA, stage:2, alive, 930 days
397.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
396.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
395.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
392.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
391.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
390.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
390.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
390.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
389.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
387.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
386.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
385.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
384.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
383.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
379.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
375.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
374.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
374.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
374.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
373.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
373.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
370.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
366.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
363.2
DO23530
53 years, male, NA, stage:4, dead, 180 days
361.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
359.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
358.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
351.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
349.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
347.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
346.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
345.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
345.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
343.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
338.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
335.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
330.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
325.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
323.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
320.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
319.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
314.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
310.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
308.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
305.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
299.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
298.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
298.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
297.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
294.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
292.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
292.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
279.1
DO45247
31 years, female, NA, stage:2, alive, 210 days
273.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
273.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
264.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
264.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
261.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
257.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
255.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
254.9
DO227643
79 years, male, NA, stage:2, alive, 1260 days
253.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
252.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
251.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
249.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
246.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
242.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
239.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
237.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
235.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
233.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
229.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
229.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
226.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
222.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
220.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
217.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
207.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
202.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
197.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
189.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
187.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
187.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
178.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
175.5
DO45129
61 years, male, NA, stage:3, alive, 1470 days
172.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
170.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
163.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
154.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
152.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
152.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
133.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
123.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1013
Tumor
0.8
743
Tumor
0.7
685
Tumor
0.6
1027
Tumor
0.6
957
Tumor
0.6
1041
Tumor
0.5
477
Tumor
0.5
491
Tumor
0.4
785
Tumor
0.4
515
Tumor
0.4
523
Tumor
0.4
455
Tumor
0.4
355
Tumor
0.4
223
Tumor
0.3
851
Tumor
0.3
517
Tumor
0.3
867
Tumor
0.3
445
Tumor
0.3
865
Tumor
0.3
363
Tumor
0.3
537
Tumor
0.3
817
Tumor
0.3
267
Tumor
0.3
1021
Tumor
0.3
513
Tumor
0.2
911
Tumor
0.2
137
Tumor
0.2
953
Tumor
0.2
755
Tumor
0.2
227
Tumor
0.2
375
Tumor
0.2
431
Tumor
0.2
527
Tumor
0.2
471
Tumor
0.2
715
Tumor
0.2
921
Tumor
0.2
925
Tumor
0.2
131
Tumor
0.2
915
Tumor
0.2
327
Tumor
0.2
411
Tumor
0.2
525
Tumor
0.2
313
Tumor
0.1
483
Tumor
0.1
1025
Tumor
0.1
635
Tumor
0.1
745
Tumor
0.1
261
Tumor
0.1
727
Tumor
0.1
573
Tumor
0.1
874
Normal
0.1
465
Tumor
0.1
697
Tumor
0.1
815
Tumor
0.1
427
Tumor
0.1
516
Normal
0.1
497
Tumor
0.1
695
Tumor
0.1
857
Tumor
0.1
423
Tumor
0.1
823
Tumor
0.1
285
Tumor
0.1
425
Tumor
0.0
737
Tumor
0.0
443
Tumor
0.0
462
Normal
0.0
977
Tumor
0.0
816
Normal
0.0
125
Tumor
0.0
533
Tumor
0.0
557
Tumor
0.0
881
Tumor
0.0
472
Normal
0.0
983
Tumor
0.0
951
Tumor
0.0
257
Tumor
0.0
484
Normal
0.0
185
Tumor
0.0
861
Tumor
0.0
873
Tumor
0.0
746
Normal
0.0
546
Normal
0.0
272
Normal
0.0
741
Tumor
0.0
744
Normal
0.0
923
Tumor
0.0
128
Normal
0.0
493
Tumor
0.0
1026
Normal
0.0
882
Normal
0.0
714
Normal
0.0
172
Normal
0.0
518
Normal
0.0
982
Normal
0.0
395
Tumor
0.0
436
Normal
0.0
878
Normal
0.0
482
Normal
0.0
728
Normal
0.0
271
Tumor
0.0
738
Normal
0.0
353
Tumor
0.0
228
Normal
0.0
213
Tumor
0.0
416
Normal
0.0
538
Normal
0.0
297
Tumor
0.0
535
Tumor
0.0
924
Normal
0.0
461
Tumor
0.0
713
Tumor
0.0
466
Normal
0.0
617
Tumor
0.0
813
Tumor
0.0
975
Tumor
0.0
385
Tumor
0.0
488
Normal
0.0
858
Normal
0.0
967
Tumor
-0.1
478
Normal
-0.1
494
Normal
-0.1
113
Tumor
-0.1
283
Tumor
-0.1
474
Normal
-0.1
393
Tumor
-0.1
187
Tumor
-0.1
452
Normal
-0.1
498
Normal
-0.1
976
Normal
-0.1
145
Tumor
-0.1
956
Normal
-0.1
413
Tumor
-0.1
1028
Normal
-0.1
824
Normal
-0.1
963
Tumor
-0.1
435
Tumor
-0.1
698
Normal
-0.1
913
Tumor
-0.1
864
Normal
-0.1
487
Tumor
-0.1
212
Normal
-0.1
231
Tumor
-0.1
328
Normal
-0.1
127
Tumor
-0.1
571
Tumor
-0.1
492
Normal
-0.1
742
Normal
-0.1
914
Normal
-0.1
162
Normal
-0.1
964
Normal
-0.1
661
Tumor
-0.1
981
Tumor
-0.1
311
Tumor
-0.1
563
Tumor
-0.1
171
Tumor
-0.1
298
Normal
-0.1
356
Normal
-0.1
222
Normal
-0.1
412
Normal
-0.1
916
Normal
-0.1
111
Normal
-0.1
286
Normal
-0.1
422
Normal
-0.1
922
Normal
-0.1
724
Normal
-0.1
938
Normal
-0.1
1043
Tumor
-0.1
778
Normal
-0.1
421
Tumor
-0.1
114
Normal
-0.1
357
Tumor
-0.1
955
Tumor
-0.1
126
Normal
-0.1
147
Tumor
-0.1
952
Normal
-0.1
161
Tumor
-0.1
756
Normal
-0.1
545
Tumor
-0.1
447
Tumor
-0.1
534
Normal
-0.1
696
Normal
-0.1
136
Normal
-0.1
463
Tumor
-0.1
191
Tumor
-0.1
188
Normal
-0.1
686
Normal
-0.1
312
Normal
-0.1
186
Normal
-0.1
716
Normal
-0.1
364
Normal
-0.1
1016
Normal
-0.1
138
Normal
-0.2
866
Normal
-0.2
146
Normal
-0.2
966
Normal
-0.2
481
Tumor
-0.2
526
Normal
-0.2
221
Tumor
-0.2
414
Normal
-0.2
777
Tumor
-0.2
852
Normal
-0.2
196
Normal
-0.2
984
Normal
-0.2
528
Normal
-0.2
258
Normal
-0.2
284
Normal
-0.2
464
Normal
-0.2
944
Normal
-0.2
224
Normal
-0.2
344
Normal
-0.2
432
Normal
-0.2
862
Normal
-0.2
391
Tumor
-0.2
342
Normal
-0.2
912
Normal
-0.2
394
Normal
-0.2
786
Normal
-0.2
978
Normal
-0.2
268
Normal
-0.2
448
Normal
-0.2
365
Tumor
-0.2
723
Tumor
-0.2
428
Normal
-0.2
277
Tumor
-0.2
386
Normal
-0.2
1031
Tumor
-0.2
211
Tumor
-0.2
124
Normal
-0.2
1022
Normal
-0.2
387
Tumor
-0.2
332
Normal
-0.2
918
Normal
-0.2
868
Normal
-0.2
376
Normal
-0.2
884
Normal
-0.2
214
Normal
-0.2
467
Tumor
-0.2
1014
Normal
-0.2
1046
Normal
-0.2
524
Normal
-0.2
392
Normal
-0.2
926
Normal
-0.2
514
Normal
-0.2
468
Normal
-0.2
818
Normal
-0.2
814
Normal
-0.2
615
Tumor
-0.2
627
Tumor
-0.2
314
Normal
-0.2
877
Tumor
-0.2
148
Normal
-0.2
132
Normal
-0.2
434
Normal
-0.2
192
Normal
-0.2
426
Normal
-0.2
722
Normal
-0.2
1044
Normal
-0.2
195
Tumor
-0.2
424
Normal
-0.2
142
Normal
-0.2
968
Normal
-0.2
278
Normal
-0.2
366
Normal
-0.2
648
Normal
-0.2
1045
Tumor
-0.2
958
Normal
-0.2
262
Normal
-0.2
415
Tumor
-0.2
383
Tumor
-0.2
1042
Normal
-0.2
358
Normal
-0.2
362
Normal
-0.2
954
Normal
-0.2
367
Tumor
-0.2
1032
Normal
-0.2
456
Normal
-0.3
554
Normal
-0.3
965
Tumor
-0.3
232
Normal
-0.3
444
Normal
-0.3
553
Tumor
-0.3
564
Normal
-0.3
917
Tumor
-0.3
943
Tumor
-0.3
123
Tumor
-0.3
141
Tumor
-0.3
663
Tumor
-0.3
396
Normal
-0.3
618
Normal
-0.3
574
Normal
-0.3
572
Normal
-0.3
665
Tumor
-0.3
664
Normal
-0.3
558
Normal
-0.3
446
Normal
-0.3
662
Normal
-0.3
217
Tumor
-0.3
536
Normal
-0.3
351
Tumor
-0.3
352
Normal
-0.3
568
Normal
-0.3
433
Tumor
-0.3
368
Normal
-0.3
721
Tumor
-0.4
361
Tumor
-0.4
883
Tumor
-0.4
567
Tumor
-0.4
388
Normal
-0.4
1015
Tumor
-0.4
343
Tumor
-0.4
331
Tumor
-0.4
647
Tumor
-0.4
616
Normal
-0.4
218
Normal
-0.4
628
Normal
-0.4
384
Normal
-0.4
666
Normal
-0.4
937
Tumor
-0.4
135
Tumor
-0.4
671
Tumor
-0.4
354
Normal
-0.4
636
Normal
-0.4
112
Tumor
-0.4
672
Normal
-0.5
473
Tumor
-0.5
642
Normal
-0.5
641
Tumor
-0.6
863
Tumor
-0.6
341
Tumor
-0.6
451
Tumor
-0.7
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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.