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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.
TMEM176B is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1083.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3080.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
3062.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2836.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2813.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2613.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2502.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2467.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2437.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
2426.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2381.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2379.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2278.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2277.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2211.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2178.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2149.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2100.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2085.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2073.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2067.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2063.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2047.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2047.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2041.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2028.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2028.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2022.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1942.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1936.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1917.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1912.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1890.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1875.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1874.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1873.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1831.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1802.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1797.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1793.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1770.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1758.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1747.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1737.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1735.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1710.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1705.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1673.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1669.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1669.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1668.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1659.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1647.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1640.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1622.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1621.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1620.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1614.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1604.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1601.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1595.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1562.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1562.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1553.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1552.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1537.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1536.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1512.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1506.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1497.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1495.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1493.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1490.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1484.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1483.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1477.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1473.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1471.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1470.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1464.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1461.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1454.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
1453.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1450.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1446.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1429.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1427.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1413.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1412.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1410.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1407.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1402.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1400.4
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1393.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1383.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1369.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1363.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1352.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1348.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1331.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1329.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1328.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1326.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1322.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1322.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1316.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1315.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1304.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1301.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1301.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1290.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1285.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1283.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1280.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1278.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1276.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1273.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1272.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1269.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1267.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1265.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1258.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
1255.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1254.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1247.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1244.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1238.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1237.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1235.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
1232.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
1232.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1222.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1221.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
1220.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1219.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1217.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1213.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1205.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1203.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1199.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1197.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1196.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1192.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1191.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1188.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1187.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1184.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1184.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1179.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1174.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1171.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1169.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1169.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1168.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1161.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1158.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1155.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1146.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1145.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1139.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1132.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1125.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1120.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1119.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1119.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1109.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1106.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
1104.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1103.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
1100.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1099.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1099.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1092.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1091.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1091.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1090.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1086.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1081.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
1080.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1077.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1077.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1047.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
1044.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1042.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1042.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1041.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1040.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1038.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1027.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1026.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1022.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1020.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1019.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1019.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1018.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1013.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1010.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1009.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1003.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1000.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
997.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
996.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
994.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
993.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
992.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
988.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
984.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
981.7
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
973.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
969.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
969.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
952.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
948.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
942.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
935.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
934.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
932.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
926.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
923.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
923.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
923.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
922.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
915.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
914.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
913.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
911.8
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
890.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
881.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
881.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
873.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
873.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
867.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
857.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
857.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
849.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
849.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
848.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
848.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
845.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
841.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
838.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
823.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
823.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
823.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
816.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
810.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
804.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
794.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
788.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
787.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
783.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
782.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
778.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
767.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
766.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
764.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
764.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
752.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
747.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
742.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
740.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
737.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
736.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
735.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
726.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
718.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
717.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
713.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
699.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
688.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
684.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
682.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
681.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
680.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
664.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
654.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
653.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
651.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
647.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
640.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
640.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
637.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
628.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
626.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
622.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
618.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
617.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
614.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
611.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
606.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
594.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
589.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
586.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
583.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
578.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
564.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
558.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
553.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
549.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
548.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
548.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
540.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
536.2
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
531.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
531.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
526.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
516.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
513.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
497.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
475.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
473.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
467.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
460.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
442.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
433.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
430.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
422.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
418.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
416.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
415.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
413.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
411.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
411.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
406.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
400.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
390.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
390.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
385.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
385.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
385.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
384.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
380.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
370.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
368.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
357.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
343.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
334.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
328.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
328.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
320.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
256.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
254.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
241.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
238.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
226.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
226.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
207.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
205.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
204.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
165.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
143.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
142.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
135.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
118.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
111.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
95.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
75.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
57.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
24.0
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
19.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
18.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
7.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 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.
TMEM176B is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
794.1
Number of samples
231
Samples
Sample
Description
TPM
DO45201
49 years, male, NA, stage:1, alive, 900 days
3070.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
2588.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2434.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2285.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
2126.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
2095.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
2049.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1987.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
1984.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
1801.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1769.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1696.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
1670.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
1613.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
1546.2
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1538.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1523.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
1479.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
1454.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
1429.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1415.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1398.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1389.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
1382.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1359.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
1287.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
1251.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
1241.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
1239.6
DO23527
72 years, male, NA, stage:1, alive, 1050 days
1227.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
1225.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1187.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
1180.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1180.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
1179.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1177.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1168.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
1157.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
1156.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
1149.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
1147.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1128.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1111.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
1110.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1105.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
1097.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
1086.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
1083.7
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1067.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
1065.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
1063.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
1062.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1054.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
1017.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1017.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
1016.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
1011.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
1002.9
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1001.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
1000.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
994.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
984.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
983.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
982.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
977.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
973.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
972.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
970.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
969.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
965.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
956.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
951.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
946.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
943.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
926.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
920.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
915.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
913.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
910.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
902.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
897.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
888.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
880.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
880.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
868.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
851.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
844.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
836.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
833.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
833.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
831.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
830.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
830.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
826.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
816.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
805.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
802.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
801.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
794.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
784.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
780.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
778.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
765.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
757.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
753.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
752.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
751.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
748.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
743.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
737.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
737.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
729.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
723.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
722.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
719.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
711.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
705.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
703.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
689.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
685.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
684.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
681.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
677.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
677.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
669.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
663.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
661.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
659.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
658.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
655.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
653.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
651.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
645.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
644.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
640.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
636.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
635.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
634.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
630.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
630.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
630.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
628.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
627.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
626.0
DO45163
76 years, male, NA, stage:2, alive, 960 days
619.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
616.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
616.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
616.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
612.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
611.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
605.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
599.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
598.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
596.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
580.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
579.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
577.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
577.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
571.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
558.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
558.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
555.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
550.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
535.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
531.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
524.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
524.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
521.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
520.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
516.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
507.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
507.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
500.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
500.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
486.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
481.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
478.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
477.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
477.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
473.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
467.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
464.2
DO45191
61 years, female, NA, stage:2, alive, 1200 days
452.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
449.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
447.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
427.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
408.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
405.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
401.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
400.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
397.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
386.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
379.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
371.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
368.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
365.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
365.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
364.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
351.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
332.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
328.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
318.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
313.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
300.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
272.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
271.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
267.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
248.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
244.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
238.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
237.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
233.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
224.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
222.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
221.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
205.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
192.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
176.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
136.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
106.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
91.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
76.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
65.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
61.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
55.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
33.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
32.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
24.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
23.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
10.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
8.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
187
Tumor
1.6
425
Tumor
1.3
393
Tumor
1.2
755
Tumor
1.2
573
Tumor
1.2
223
Tumor
1.1
665
Tumor
1.1
697
Tumor
1.0
343
Tumor
1.0
493
Tumor
0.9
137
Tumor
0.9
135
Tumor
0.8
861
Tumor
0.8
745
Tumor
0.8
863
Tumor
0.8
191
Tumor
0.8
445
Tumor
0.8
713
Tumor
0.8
481
Tumor
0.7
271
Tumor
0.7
823
Tumor
0.6
1025
Tumor
0.6
635
Tumor
0.6
777
Tumor
0.5
195
Tumor
0.5
213
Tumor
0.5
471
Tumor
0.5
483
Tumor
0.5
467
Tumor
0.5
1041
Tumor
0.5
647
Tumor
0.5
147
Tumor
0.5
145
Tumor
0.5
785
Tumor
0.5
977
Tumor
0.4
1045
Tumor
0.4
616
Normal
0.4
642
Normal
0.4
221
Tumor
0.4
257
Tumor
0.4
1015
Tumor
0.4
365
Tumor
0.4
545
Tumor
0.4
913
Tumor
0.4
227
Tumor
0.4
615
Tumor
0.4
553
Tumor
0.4
937
Tumor
0.4
218
Normal
0.3
873
Tumor
0.3
618
Normal
0.3
387
Tumor
0.3
455
Tumor
0.3
368
Normal
0.3
361
Tumor
0.3
721
Tumor
0.3
533
Tumor
0.3
222
Normal
0.3
628
Normal
0.3
261
Tumor
0.3
327
Tumor
0.3
641
Tumor
0.3
428
Normal
0.3
388
Normal
0.3
217
Tumor
0.3
867
Tumor
0.3
436
Normal
0.3
267
Tumor
0.3
943
Tumor
0.3
392
Normal
0.3
563
Tumor
0.3
231
Tumor
0.3
421
Tumor
0.2
636
Normal
0.2
431
Tumor
0.2
142
Normal
0.2
353
Tumor
0.2
366
Normal
0.2
515
Tumor
0.2
737
Tumor
0.2
413
Tumor
0.2
883
Tumor
0.2
375
Tumor
0.2
426
Normal
0.2
394
Normal
0.2
865
Tumor
0.2
557
Tumor
0.2
396
Normal
0.2
648
Normal
0.2
424
Normal
0.2
517
Tumor
0.2
136
Normal
0.2
1021
Tumor
0.2
617
Tumor
0.2
963
Tumor
0.2
114
Normal
0.2
214
Normal
0.2
196
Normal
0.2
132
Normal
0.2
472
Normal
0.2
574
Normal
0.2
433
Tumor
0.2
527
Tumor
0.2
477
Tumor
0.2
422
Normal
0.2
715
Tumor
0.2
571
Tumor
0.2
1043
Tumor
0.2
171
Tumor
0.1
975
Tumor
0.1
915
Tumor
0.1
526
Normal
0.1
443
Tumor
0.1
724
Normal
0.1
446
Normal
0.1
564
Normal
0.1
568
Normal
0.1
482
Normal
0.1
384
Normal
0.1
862
Normal
0.1
423
Tumor
0.1
546
Normal
0.1
955
Tumor
0.1
138
Normal
0.1
666
Normal
0.1
627
Tumor
0.1
474
Normal
0.1
376
Normal
0.1
462
Normal
0.1
756
Normal
0.1
662
Normal
0.1
185
Tumor
0.1
1016
Normal
0.1
528
Normal
0.1
857
Tumor
0.1
113
Tumor
0.1
882
Normal
0.0
411
Tumor
0.0
746
Normal
0.0
1027
Tumor
0.0
664
Normal
0.0
357
Tumor
0.0
125
Tumor
0.0
686
Normal
0.0
554
Normal
0.0
911
Tumor
0.0
111
Normal
0.0
497
Tumor
0.0
868
Normal
0.0
228
Normal
0.0
448
Normal
0.0
342
Normal
0.0
352
Normal
0.0
452
Normal
0.0
414
Normal
0.0
362
Normal
0.0
518
Normal
0.0
951
Tumor
0.0
851
Tumor
0.0
432
Normal
0.0
981
Tumor
0.0
232
Normal
0.0
964
Normal
0.0
277
Tumor
0.0
461
Tumor
0.0
534
Normal
0.0
816
Normal
0.0
344
Normal
0.0
456
Normal
0.0
881
Tumor
0.0
391
Tumor
0.0
786
Normal
0.0
466
Normal
0.0
435
Tumor
0.0
884
Normal
0.0
127
Tumor
0.0
364
Normal
0.0
434
Normal
0.0
146
Normal
0.0
478
Normal
0.0
284
Normal
-0.1
141
Tumor
-0.1
427
Tumor
-0.1
874
Normal
-0.1
415
Tumor
-0.1
386
Normal
-0.1
463
Tumor
-0.1
126
Normal
-0.1
714
Normal
-0.1
953
Tumor
-0.1
538
Normal
-0.1
358
Normal
-0.1
286
Normal
-0.1
572
Normal
-0.1
523
Tumor
-0.1
416
Normal
-0.1
866
Normal
-0.1
672
Normal
-0.1
356
Normal
-0.1
224
Normal
-0.1
278
Normal
-0.1
128
Normal
-0.1
558
Normal
-0.1
698
Normal
-0.1
738
Normal
-0.1
412
Normal
-0.1
954
Normal
-0.1
487
Tumor
-0.1
864
Normal
-0.1
716
Normal
-0.1
924
Normal
-0.1
468
Normal
-0.1
824
Normal
-0.1
914
Normal
-0.1
741
Tumor
-0.1
524
Normal
-0.1
742
Normal
-0.1
952
Normal
-0.1
1026
Normal
-0.1
696
Normal
-0.1
723
Tumor
-0.1
818
Normal
-0.1
858
Normal
-0.1
968
Normal
-0.1
722
Normal
-0.1
354
Normal
-0.1
923
Tumor
-0.1
212
Normal
-0.1
778
Normal
-0.1
661
Tumor
-0.2
395
Tumor
-0.2
938
Normal
-0.2
148
Normal
-0.2
1028
Normal
-0.2
464
Normal
-0.2
494
Normal
-0.2
484
Normal
-0.2
112
Tumor
-0.2
186
Normal
-0.2
1044
Normal
-0.2
1046
Normal
-0.2
328
Normal
-0.2
567
Tumor
-0.2
124
Normal
-0.2
1042
Normal
-0.2
956
Normal
-0.2
922
Normal
-0.2
444
Normal
-0.2
123
Tumor
-0.2
878
Normal
-0.2
728
Normal
-0.2
918
Normal
-0.2
852
Normal
-0.2
488
Normal
-0.2
958
Normal
-0.2
314
Normal
-0.2
192
Normal
-0.2
172
Normal
-0.3
313
Tumor
-0.3
912
Normal
-0.3
355
Tumor
-0.3
262
Normal
-0.3
341
Tumor
-0.3
976
Normal
-0.3
743
Tumor
-0.3
298
Normal
-0.3
332
Normal
-0.3
312
Normal
-0.3
162
Normal
-0.3
982
Normal
-0.3
1022
Normal
-0.3
926
Normal
-0.3
451
Tumor
-0.3
161
Tumor
-0.3
695
Tumor
-0.3
272
Normal
-0.3
258
Normal
-0.3
513
Tumor
-0.3
514
Normal
-0.3
188
Normal
-0.3
966
Normal
-0.3
957
Tumor
-0.4
984
Normal
-0.4
1013
Tumor
-0.4
916
Normal
-0.4
525
Tumor
-0.4
744
Normal
-0.4
297
Tumor
-0.4
671
Tumor
-0.4
498
Normal
-0.4
268
Normal
-0.4
535
Tumor
-0.4
536
Normal
-0.4
917
Tumor
-0.4
131
Tumor
-0.4
978
Normal
-0.5
944
Normal
-0.5
1014
Normal
-0.5
817
Tumor
-0.5
663
Tumor
-0.5
1032
Normal
-0.5
516
Normal
-0.5
385
Tumor
-0.5
473
Tumor
-0.5
1031
Tumor
-0.5
921
Tumor
-0.5
727
Tumor
-0.5
351
Tumor
-0.5
537
Tumor
-0.6
447
Tumor
-0.6
983
Tumor
-0.6
877
Tumor
-0.6
465
Tumor
-0.6
491
Tumor
-0.6
492
Normal
-0.6
814
Normal
-0.7
311
Tumor
-0.7
685
Tumor
-0.7
925
Tumor
-0.8
367
Tumor
-0.8
283
Tumor
-0.8
285
Tumor
-0.8
383
Tumor
-0.8
967
Tumor
-0.8
813
Tumor
-0.9
331
Tumor
-1.0
815
Tumor
-1.0
965
Tumor
-1.1
211
Tumor
-1.4
363
Tumor
-1.7
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
