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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.
AGT 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.
: 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.
0.023
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.
41%
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.
52%
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
1349.9
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
7005.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
5605.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
5167.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
4924.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
4614.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4268.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
4065.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3856.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
3715.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3525.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3507.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3440.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
3297.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3296.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3268.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
3241.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3238.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
3208.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
3163.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3111.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2910.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2896.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2813.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2778.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2769.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2752.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2692.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2682.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2641.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2588.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2534.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2527.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
2479.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2471.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2434.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2395.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2392.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2365.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2356.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2332.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2323.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2303.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2272.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2270.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2262.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2243.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2242.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2176.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2129.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2127.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2116.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2114.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
2105.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
2082.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2063.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2046.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2032.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2012.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2011.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1989.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1986.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1986.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1954.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1942.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1928.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1903.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1892.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1878.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1861.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1816.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1814.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1810.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1807.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1794.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1775.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1772.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1771.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1763.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1736.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1731.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1731.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1724.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1723.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1722.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1700.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1698.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1682.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1677.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1665.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1662.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1649.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1642.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1631.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1620.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1611.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1597.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1595.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1593.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1591.6
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1587.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1586.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1576.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1572.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1554.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1544.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1530.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1529.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1513.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1512.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1507.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1506.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1498.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1493.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1490.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1487.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1480.9
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1467.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1457.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1453.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1444.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1441.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1435.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1435.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1432.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1426.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1417.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1410.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1407.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1384.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1378.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1375.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1366.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1364.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1361.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1350.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1339.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1336.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1330.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1329.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1325.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1316.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1313.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1306.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1303.7
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1300.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1287.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1273.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1268.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1267.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1264.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1254.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1249.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1245.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1242.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1241.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1240.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1234.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1233.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1227.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1217.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1209.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1202.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1199.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1196.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1190.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1189.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1179.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1177.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1177.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1169.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1168.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1166.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1166.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1166.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1163.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1163.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1157.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1151.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1148.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1148.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1143.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1141.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1140.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1140.8
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1133.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1132.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1130.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1128.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1124.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1121.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1119.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1113.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1112.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1109.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1108.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1103.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1103.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1094.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1089.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1085.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1077.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1075.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1065.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1060.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1057.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1048.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1045.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1039.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1023.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1009.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1009.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1008.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1006.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1003.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1003.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1002.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
999.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
997.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
994.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
994.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
987.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
985.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
985.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
983.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
978.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
974.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
971.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
968.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
960.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
957.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
957.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
951.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
948.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
948.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
946.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
945.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
943.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
935.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
932.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
919.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
913.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
911.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
906.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
905.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
894.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
888.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
888.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
880.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
877.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
871.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
867.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
852.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
850.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
845.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
844.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
842.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
837.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
830.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
823.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
822.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
820.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
814.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
813.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
812.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
808.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
807.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
807.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
806.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
797.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
795.1
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
792.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
788.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
767.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
761.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
759.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
742.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
735.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
734.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
733.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
733.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
730.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
726.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
725.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
723.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
722.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
720.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
719.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
715.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
712.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
706.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
706.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
692.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
692.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
690.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
686.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
686.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
684.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
683.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
682.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
682.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
672.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
661.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
654.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
644.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
633.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
629.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
623.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
622.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
621.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
618.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
617.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
615.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
608.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
604.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
598.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
593.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
593.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
591.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
591.1
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
586.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
573.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
550.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
532.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
516.0
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
509.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
503.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
501.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
496.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
495.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
490.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
483.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
470.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
462.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
458.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
456.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
453.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
444.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
442.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
418.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
416.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
414.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
398.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
398.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
394.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
375.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
366.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
344.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
343.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
335.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
326.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
326.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
312.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
307.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
300.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
293.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
284.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
280.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
278.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
241.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
202.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
30.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
AGT 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.
: 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.
0.018
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.
68%
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
818.0
Number of samples
231
Samples
Sample
Description
TPM
DO23524
71 years, female, NA, stage:2, alive, 1050 days
4488.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
3100.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
2512.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
2239.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2221.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
2200.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
2182.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2140.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
2083.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
2039.4
DO48706
72 years, male, NA, stage:2, alive, 870 days
2018.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1925.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
1863.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1860.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1820.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
1808.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
1697.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1671.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1664.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1611.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1564.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1539.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
1538.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1496.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
1489.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
1470.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
1420.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1418.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
1407.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
1332.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1284.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
1265.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1262.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1242.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
1237.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1229.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
1204.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
1199.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
1195.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
1191.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
1189.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
1185.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
1181.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1180.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
1172.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
1168.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1155.5
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1155.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1129.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1106.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
1102.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1095.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1094.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
1083.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
1081.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
1077.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
1072.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
1067.4
DO48760
70 years, female, NA, stage:2, alive, 690 days
1067.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
1066.3
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1057.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
1054.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
1040.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1035.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
1011.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1005.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
994.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
983.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
972.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
969.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
956.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
936.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
933.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
918.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
918.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
917.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
917.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
912.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
904.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
901.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
892.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
887.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
865.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
857.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
851.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
849.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
846.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
842.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
835.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
831.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
823.2
DO45263
67 years, male, NA, stage:3, dead, 270 days
815.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
813.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
809.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
806.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
805.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
796.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
789.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
786.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
778.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
772.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
767.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
759.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
758.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
754.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
742.8
DO45092
62 years, male, NA, stage:4, dead, 1200 days
735.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
731.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
731.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
719.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
715.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
701.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
685.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
684.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
680.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
669.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
669.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
664.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
659.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
656.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
656.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
654.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
649.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
642.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
639.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
639.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
638.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
637.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
635.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
632.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
622.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
622.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
612.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
607.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
607.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
592.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
587.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
584.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
579.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
574.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
573.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
570.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
570.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
569.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
552.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
552.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
551.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
541.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
540.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
540.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
539.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
539.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
537.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
536.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
536.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
535.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
532.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
517.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
517.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
500.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
497.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
495.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
493.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
483.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
481.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
477.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
476.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
475.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
470.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
466.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
465.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
464.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
458.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
458.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
456.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
456.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
451.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
449.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
446.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
436.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
426.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
422.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
420.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
415.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
414.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
413.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
409.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
409.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
407.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
394.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
393.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
387.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
386.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
373.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
371.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
355.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
355.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
350.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
350.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
345.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
344.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
340.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
324.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
321.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
317.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
313.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
298.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
292.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
280.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
259.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
254.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
245.2
DO45237
58 years, male, NA, stage:2, alive, 900 days
239.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
239.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
236.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
209.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
194.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
193.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
184.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
167.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
145.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
140.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
105.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
48.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
42.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
17.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
7.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
1.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
743
Tumor
2.0
877
Tumor
1.6
863
Tumor
1.4
445
Tumor
1.4
343
Tumor
1.3
635
Tumor
1.3
671
Tumor
1.2
367
Tumor
1.1
425
Tumor
1.0
125
Tumor
1.0
393
Tumor
0.9
851
Tumor
0.9
975
Tumor
0.9
636
Normal
0.9
221
Tumor
0.9
227
Tumor
0.8
391
Tumor
0.8
313
Tumor
0.8
387
Tumor
0.7
983
Tumor
0.7
641
Tumor
0.7
331
Tumor
0.7
921
Tumor
0.6
357
Tumor
0.6
527
Tumor
0.6
571
Tumor
0.6
217
Tumor
0.6
697
Tumor
0.6
813
Tumor
0.6
271
Tumor
0.6
1027
Tumor
0.6
573
Tumor
0.6
967
Tumor
0.6
342
Normal
0.5
497
Tumor
0.5
615
Tumor
0.5
664
Normal
0.5
351
Tumor
0.5
881
Tumor
0.5
426
Normal
0.5
567
Tumor
0.5
171
Tumor
0.5
517
Tumor
0.5
471
Tumor
0.5
953
Tumor
0.5
463
Tumor
0.4
777
Tumor
0.4
817
Tumor
0.4
815
Tumor
0.4
523
Tumor
0.4
314
Normal
0.4
363
Tumor
0.4
737
Tumor
0.4
616
Normal
0.4
137
Tumor
0.4
361
Tumor
0.3
267
Tumor
0.3
192
Normal
0.3
368
Normal
0.3
553
Tumor
0.3
298
Normal
0.3
332
Normal
0.3
663
Tumor
0.3
392
Normal
0.3
147
Tumor
0.3
618
Normal
0.3
191
Tumor
0.3
923
Tumor
0.3
396
Normal
0.3
574
Normal
0.3
186
Normal
0.3
744
Normal
0.3
354
Normal
0.3
388
Normal
0.3
278
Normal
0.3
218
Normal
0.3
148
Normal
0.3
375
Tumor
0.3
642
Normal
0.3
564
Normal
0.2
535
Tumor
0.2
394
Normal
0.2
222
Normal
0.2
277
Tumor
0.2
358
Normal
0.2
384
Normal
0.2
422
Normal
0.2
424
Normal
0.2
127
Tumor
0.2
223
Tumor
0.2
568
Normal
0.2
665
Tumor
0.2
414
Normal
0.2
365
Tumor
0.2
617
Tumor
0.2
456
Normal
0.2
172
Normal
0.2
672
Normal
0.2
724
Normal
0.2
515
Tumor
0.2
428
Normal
0.2
447
Tumor
0.2
196
Normal
0.2
723
Tumor
0.2
344
Normal
0.1
452
Normal
0.1
432
Normal
0.1
124
Normal
0.1
224
Normal
0.1
435
Tumor
0.1
951
Tumor
0.1
666
Normal
0.1
111
Normal
0.1
628
Normal
0.1
563
Tumor
0.1
258
Normal
0.1
884
Normal
0.1
352
Normal
0.1
231
Tumor
0.1
446
Normal
0.1
214
Normal
0.1
162
Normal
0.1
257
Tumor
0.1
366
Normal
0.1
883
Tumor
0.1
741
Tumor
0.1
261
Tumor
0.1
727
Tumor
0.1
297
Tumor
0.1
627
Tumor
0.1
968
Normal
0.1
964
Normal
0.1
443
Tumor
0.1
128
Normal
0.1
185
Tumor
0.1
738
Normal
0.1
464
Normal
0.1
436
Normal
0.1
742
Normal
0.1
814
Normal
0.1
195
Tumor
0.1
383
Tumor
0.0
112
Tumor
0.0
557
Tumor
0.0
285
Tumor
0.0
228
Normal
0.0
982
Normal
0.0
376
Normal
0.0
362
Normal
0.0
132
Normal
0.0
545
Tumor
0.0
648
Normal
0.0
286
Normal
0.0
126
Normal
0.0
912
Normal
0.0
353
Tumor
0.0
138
Normal
0.0
444
Normal
0.0
423
Tumor
0.0
536
Normal
0.0
413
Tumor
0.0
455
Tumor
0.0
728
Normal
0.0
451
Tumor
0.0
713
Tumor
0.0
136
Normal
0.0
882
Normal
0.0
466
Normal
0.0
421
Tumor
0.0
135
Tumor
0.0
786
Normal
0.0
1028
Normal
0.0
386
Normal
0.0
662
Normal
0.0
937
Tumor
0.0
468
Normal
0.0
518
Normal
0.0
395
Tumor
0.0
698
Normal
0.0
472
Normal
0.0
1044
Normal
0.0
145
Tumor
0.0
482
Normal
0.0
188
Normal
0.0
462
Normal
0.0
922
Normal
-0.1
866
Normal
-0.1
818
Normal
-0.1
113
Tumor
-0.1
1042
Normal
-0.1
187
Tumor
-0.1
488
Normal
-0.1
1014
Normal
-0.1
327
Tumor
-0.1
433
Tumor
-0.1
528
Normal
-0.1
385
Tumor
-0.1
1013
Tumor
-0.1
785
Tumor
-0.1
914
Normal
-0.1
524
Normal
-0.1
958
Normal
-0.1
465
Tumor
-0.1
956
Normal
-0.1
1026
Normal
-0.1
312
Normal
-0.1
1043
Tumor
-0.1
487
Tumor
-0.1
925
Tumor
-0.1
868
Normal
-0.1
513
Tumor
-0.1
816
Normal
-0.1
494
Normal
-0.1
146
Normal
-0.1
341
Tumor
-0.1
283
Tumor
-0.1
1015
Tumor
-0.1
745
Tumor
-0.1
572
Normal
-0.1
461
Tumor
-0.1
938
Normal
-0.1
232
Normal
-0.1
525
Tumor
-0.1
878
Normal
-0.1
862
Normal
-0.1
746
Normal
-0.1
661
Tumor
-0.1
431
Tumor
-0.1
911
Tumor
-0.1
647
Tumor
-0.2
1045
Tumor
-0.2
434
Normal
-0.2
1022
Normal
-0.2
534
Normal
-0.2
262
Normal
-0.2
448
Normal
-0.2
114
Normal
-0.2
714
Normal
-0.2
213
Tumor
-0.2
1046
Normal
-0.2
778
Normal
-0.2
481
Tumor
-0.2
142
Normal
-0.2
756
Normal
-0.2
514
Normal
-0.2
483
Tumor
-0.2
1025
Tumor
-0.2
1021
Tumor
-0.2
328
Normal
-0.2
526
Normal
-0.2
537
Tumor
-0.2
865
Tumor
-0.2
858
Normal
-0.2
364
Normal
-0.2
284
Normal
-0.2
926
Normal
-0.2
957
Tumor
-0.2
864
Normal
-0.2
356
Normal
-0.2
857
Tumor
-0.2
966
Normal
-0.2
123
Tumor
-0.2
1032
Normal
-0.2
498
Normal
-0.2
268
Normal
-0.3
411
Tumor
-0.3
873
Tumor
-0.3
141
Tumor
-0.3
161
Tumor
-0.3
416
Normal
-0.3
272
Normal
-0.3
474
Normal
-0.3
558
Normal
-0.3
976
Normal
-0.3
963
Tumor
-0.3
978
Normal
-0.3
1016
Normal
-0.3
918
Normal
-0.3
131
Tumor
-0.3
484
Normal
-0.3
412
Normal
-0.3
984
Normal
-0.3
491
Tumor
-0.3
924
Normal
-0.3
954
Normal
-0.3
467
Tumor
-0.3
212
Normal
-0.3
516
Normal
-0.3
952
Normal
-0.3
852
Normal
-0.3
546
Normal
-0.4
716
Normal
-0.4
722
Normal
-0.4
696
Normal
-0.4
944
Normal
-0.4
824
Normal
-0.4
533
Tumor
-0.4
955
Tumor
-0.4
473
Tumor
-0.4
311
Tumor
-0.4
755
Tumor
-0.4
415
Tumor
-0.4
1041
Tumor
-0.4
685
Tumor
-0.5
874
Normal
-0.5
427
Tumor
-0.5
355
Tumor
-0.5
493
Tumor
-0.5
915
Tumor
-0.5
538
Normal
-0.5
943
Tumor
-0.5
554
Normal
-0.5
686
Normal
-0.5
981
Tumor
-0.6
965
Tumor
-0.6
492
Normal
-0.6
1031
Tumor
-0.6
478
Normal
-0.6
977
Tumor
-0.6
695
Tumor
-0.6
916
Normal
-0.6
917
Tumor
-0.6
913
Tumor
-0.7
715
Tumor
-0.7
477
Tumor
-0.7
867
Tumor
-0.7
823
Tumor
-0.7
861
Tumor
-0.7
721
Tumor
-0.9
211
Tumor
-1.7
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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.