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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.
TMEM176A 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
791.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2567.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2540.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2360.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2305.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2154.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
1978.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1950.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1782.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1781.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1754.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1746.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1731.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1702.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1696.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1679.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1677.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1641.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1629.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1627.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1595.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1563.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1545.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1538.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1485.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1468.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1461.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1420.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1406.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1404.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1403.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1403.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1402.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1389.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1389.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1364.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1357.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1354.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1349.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1341.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1337.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1334.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1318.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1305.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1299.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1299.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1286.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1256.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1253.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1234.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1218.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1214.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1213.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1205.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1188.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1184.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1180.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1179.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1177.4
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1168.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1157.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1157.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1155.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1154.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1150.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1148.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
1142.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1141.7
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1140.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1135.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1122.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1120.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1114.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1112.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1102.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1097.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1097.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1091.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1089.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1084.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1079.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1079.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1053.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1052.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
1052.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1049.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1047.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1046.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
1033.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1031.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1029.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1019.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
988.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
975.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
975.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
969.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
968.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
967.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
959.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
957.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
955.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
951.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
948.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
947.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
946.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
943.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
940.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
936.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
936.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
933.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
931.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
930.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
927.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
927.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
924.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
921.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
915.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
914.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
913.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
912.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
911.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
909.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
905.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
898.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
893.3
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
892.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
889.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
889.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
887.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
884.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
882.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
881.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
879.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
879.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
877.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
873.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
873.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
872.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
871.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
869.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
868.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
860.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
855.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
852.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
851.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
845.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
840.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
839.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
837.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
837.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
833.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
831.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
830.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
830.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
827.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
823.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
821.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
816.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
815.8
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
815.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
814.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
813.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
812.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
807.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
804.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
803.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
802.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
800.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
796.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
790.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
789.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
786.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
785.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
784.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
783.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
782.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
777.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
775.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
763.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
762.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
762.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
760.6
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
757.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
757.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
753.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
750.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
748.3
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
747.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
746.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
744.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
742.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
741.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
737.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
732.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
725.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
725.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
723.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
719.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
716.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
704.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
702.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
701.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
688.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
688.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
686.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
681.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
674.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
673.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
670.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
670.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
668.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
668.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
664.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
664.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
663.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
662.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
662.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
657.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
649.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
643.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
640.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
638.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
637.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
636.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
628.4
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
625.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
624.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
617.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
614.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
611.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
610.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
609.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
608.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
603.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
602.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
598.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
595.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
593.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
586.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
585.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
584.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
582.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
581.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
580.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
580.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
579.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
578.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
575.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
574.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
573.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
570.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
566.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
565.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
561.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
560.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
558.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
551.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
548.0
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
546.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
542.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
539.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
535.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
533.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
526.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
525.2
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
521.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
516.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
513.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
508.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
508.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
507.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
504.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
500.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
486.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
483.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
478.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
474.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
472.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
469.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
460.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
458.8
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
458.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
455.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
447.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
445.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
444.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
441.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
438.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
438.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
436.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
434.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
433.5
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
431.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
430.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
428.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
425.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
425.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
422.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
418.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
417.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
411.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
410.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
410.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
407.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
400.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
399.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
398.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
398.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
395.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
387.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
385.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
379.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
374.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
359.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
359.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
351.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
348.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
347.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
336.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
316.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
315.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
315.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
313.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
312.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
312.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
304.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
298.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
281.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
281.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
277.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
269.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
253.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
204.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
196.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
189.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
187.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
182.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
179.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
178.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
172.1
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
170.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
164.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
156.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
138.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
135.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
123.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
114.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
96.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
93.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
81.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
78.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
75.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
61.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
56.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
47.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
42.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
33.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
16.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
15.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
12.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
11.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
4.3
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.
TMEM176A 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
608.2
Number of samples
231
Samples
Sample
Description
TPM
DO45119
74 years, male, NA, stage:3, dead, 510 days
2702.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
2525.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
1920.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
1549.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
1544.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
1499.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1377.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1319.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
1226.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
1197.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
1161.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
1160.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1149.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1148.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
1121.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
1116.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1085.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1082.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
1063.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
1060.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
1012.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1005.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
992.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
986.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
980.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
968.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
961.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
935.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
932.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
930.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
926.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
925.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
916.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
908.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
908.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
904.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
903.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
902.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
902.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
887.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
870.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
862.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
855.9
DO45193
68 years, female, NA, stage:4, dead, 120 days
852.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
852.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
851.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
849.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
848.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
838.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
836.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
834.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
829.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
819.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
805.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
805.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
793.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
790.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
787.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
784.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
775.6
DO45121
61 years, male, NA, stage:3, alive, 1530 days
766.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
758.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
738.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
738.3
DO50840
49 years, male, NA, stage:2, alive, 330 days
736.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
735.0
DO48697
64 years, female, NA, stage:2, dead, 810 days
734.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
728.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
728.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
724.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
720.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
719.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
717.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
711.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
695.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
691.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
685.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
683.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
673.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
670.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
664.6
DO45261
74 years, male, NA, stage:3, alive, 990 days
658.7
DO45133
64 years, male, NA, stage:3, dead, 660 days
651.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
649.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
643.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
637.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
637.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
634.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
632.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
629.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
622.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
622.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
621.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
621.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
620.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
616.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
612.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
599.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
599.7
DO45167
67 years, male, NA, stage:2, dead, 1440 days
596.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
596.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
595.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
594.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
592.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
587.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
584.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
584.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
582.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
581.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
576.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
575.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
573.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
573.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
570.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
569.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
568.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
564.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
562.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
562.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
560.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
558.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
555.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
552.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
552.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
551.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
551.3
DO23544
67 years, male, NA, stage:2, alive, 960 days
545.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
545.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
538.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
536.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
535.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
530.7
DO45227
57 years, female, NA, stage:2, alive, 1020 days
530.6
DO23516
69 years, male, NA, stage:3, dead, 20 days
527.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
521.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
515.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
513.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
509.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
503.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
500.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
495.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
493.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
490.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
490.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
487.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
484.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
482.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
482.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
481.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
481.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
478.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
474.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
472.6
DO23535
67 years, male, NA, stage:1, alive, 960 days
468.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
464.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
463.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
460.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
460.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
457.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
453.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
450.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
449.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
448.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
446.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
446.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
446.0
DO48742
76 years, male, NA, stage:2, alive, 600 days
445.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
443.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
438.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
435.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
431.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
430.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
423.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
419.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
400.9
DO45277
64 years, male, NA, stage:3, alive, 600 days
384.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
380.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
374.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
374.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
368.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
368.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
365.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
361.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
358.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
358.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
355.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
347.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
338.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
323.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
319.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
315.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
313.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
309.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
298.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
287.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
282.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
280.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
266.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
260.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
259.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
251.2
DO50791
79 years, female, NA, stage:1, dead, 480 days
241.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
227.9
DO48682
72 years, female, NA, stage:3, dead, 120 days
219.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
205.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
195.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
188.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
187.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
186.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
184.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
176.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
174.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
170.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
164.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
154.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
132.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
110.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
94.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
74.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
48.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
46.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
44.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
42.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
38.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
38.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
22.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
16.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
16.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
14.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
6.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
3.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
425
Tumor
1.7
187
Tumor
1.6
471
Tumor
1.5
943
Tumor
1.5
755
Tumor
1.5
393
Tumor
1.4
573
Tumor
1.4
697
Tumor
1.3
343
Tumor
1.2
223
Tumor
1.2
745
Tumor
1.2
537
Tumor
1.1
271
Tumor
1.1
1015
Tumor
1.1
525
Tumor
1.1
777
Tumor
1.0
951
Tumor
1.0
493
Tumor
1.0
483
Tumor
1.0
533
Tumor
0.9
221
Tumor
0.9
445
Tumor
0.9
545
Tumor
0.8
823
Tumor
0.8
145
Tumor
0.8
863
Tumor
0.8
387
Tumor
0.8
557
Tumor
0.8
1045
Tumor
0.7
953
Tumor
0.7
147
Tumor
0.7
977
Tumor
0.7
713
Tumor
0.7
1025
Tumor
0.7
357
Tumor
0.6
877
Tumor
0.6
421
Tumor
0.6
497
Tumor
0.6
635
Tumor
0.6
851
Tumor
0.6
191
Tumor
0.6
861
Tumor
0.6
455
Tumor
0.5
213
Tumor
0.5
538
Normal
0.5
737
Tumor
0.5
217
Tumor
0.5
1041
Tumor
0.5
571
Tumor
0.5
883
Tumor
0.5
913
Tumor
0.5
267
Tumor
0.5
1021
Tumor
0.5
527
Tumor
0.5
975
Tumor
0.5
413
Tumor
0.5
327
Tumor
0.5
647
Tumor
0.4
195
Tumor
0.4
365
Tumor
0.4
463
Tumor
0.4
1043
Tumor
0.4
515
Tumor
0.4
467
Tumor
0.4
426
Normal
0.4
517
Tumor
0.4
937
Tumor
0.4
351
Tumor
0.4
744
Normal
0.4
477
Tumor
0.4
873
Tumor
0.3
881
Tumor
0.3
865
Tumor
0.3
268
Normal
0.3
553
Tumor
0.3
695
Tumor
0.3
661
Tumor
0.3
227
Tumor
0.2
721
Tumor
0.2
952
Normal
0.2
361
Tumor
0.2
311
Tumor
0.2
567
Tumor
0.2
218
Normal
0.2
375
Tumor
0.2
433
Tumor
0.2
137
Tumor
0.2
1027
Tumor
0.2
981
Tumor
0.2
232
Normal
0.1
696
Normal
0.1
391
Tumor
0.1
715
Tumor
0.1
125
Tumor
0.1
258
Normal
0.1
257
Tumor
0.1
411
Tumor
0.1
867
Tumor
0.1
461
Tumor
0.1
344
Normal
0.1
954
Normal
0.1
231
Tumor
0.1
866
Normal
0.1
724
Normal
0.1
955
Tumor
0.1
728
Normal
0.1
617
Tumor
0.1
222
Normal
0.1
523
Tumor
0.1
185
Tumor
0.1
427
Tumor
0.1
491
Tumor
0.1
435
Tumor
0.1
963
Tumor
0.1
1013
Tumor
0.1
188
Normal
0.1
353
Tumor
0.1
956
Normal
0.0
738
Normal
0.0
915
Tumor
0.0
554
Normal
0.0
161
Tumor
0.0
135
Tumor
0.0
742
Normal
0.0
686
Normal
0.0
142
Normal
0.0
563
Tumor
0.0
785
Tumor
0.0
874
Normal
0.0
862
Normal
0.0
944
Normal
0.0
957
Tumor
0.0
487
Tumor
0.0
262
Normal
0.0
428
Normal
0.0
283
Tumor
0.0
456
Normal
0.0
857
Tumor
0.0
665
Tumor
0.0
1022
Normal
0.0
423
Tumor
0.0
124
Normal
0.0
186
Normal
0.0
431
Tumor
0.0
716
Normal
0.0
1026
Normal
0.0
746
Normal
0.0
443
Tumor
0.0
464
Normal
0.0
113
Tumor
0.0
148
Normal
0.0
714
Normal
-0.1
778
Normal
-0.1
272
Normal
-0.1
723
Tumor
-0.1
536
Normal
-0.1
355
Tumor
-0.1
422
Normal
-0.1
342
Normal
-0.1
983
Tumor
-0.1
641
Tumor
-0.1
297
Tumor
-0.1
1031
Tumor
-0.1
395
Tumor
-0.1
277
Tumor
-0.1
1028
Normal
-0.1
162
Normal
-0.1
722
Normal
-0.1
424
Normal
-0.1
415
Tumor
-0.1
261
Tumor
-0.1
481
Tumor
-0.1
484
Normal
-0.1
212
Normal
-0.1
171
Tumor
-0.1
312
Normal
-0.2
494
Normal
-0.2
662
Normal
-0.2
358
Normal
-0.2
412
Normal
-0.2
111
Normal
-0.2
535
Tumor
-0.2
434
Normal
-0.2
416
Normal
-0.2
172
Normal
-0.2
671
Tumor
-0.2
488
Normal
-0.2
492
Normal
-0.2
546
Normal
-0.2
968
Normal
-0.2
314
Normal
-0.2
228
Normal
-0.2
452
Normal
-0.2
436
Normal
-0.2
923
Tumor
-0.2
364
Normal
-0.2
448
Normal
-0.2
921
Tumor
-0.2
642
Normal
-0.2
572
Normal
-0.2
727
Tumor
-0.2
741
Tumor
-0.2
574
Normal
-0.2
817
Tumor
-0.2
864
Normal
-0.2
396
Normal
-0.2
648
Normal
-0.2
868
Normal
-0.2
568
Normal
-0.2
615
Tumor
-0.2
214
Normal
-0.2
878
Normal
-0.3
278
Normal
-0.3
196
Normal
-0.3
352
Normal
-0.3
298
Normal
-0.3
192
Normal
-0.3
743
Tumor
-0.3
332
Normal
-0.3
131
Tumor
-0.3
356
Normal
-0.3
564
Normal
-0.3
128
Normal
-0.3
285
Tumor
-0.3
414
Normal
-0.3
513
Tumor
-0.3
958
Normal
-0.3
558
Normal
-0.3
1042
Normal
-0.3
386
Normal
-0.3
911
Tumor
-0.3
918
Normal
-0.3
1016
Normal
-0.3
328
Normal
-0.3
526
Normal
-0.3
447
Tumor
-0.3
341
Tumor
-0.3
528
Normal
-0.3
518
Normal
-0.3
938
Normal
-0.3
498
Normal
-0.4
286
Normal
-0.4
385
Tumor
-0.4
524
Normal
-0.4
698
Normal
-0.4
392
Normal
-0.4
114
Normal
-0.4
756
Normal
-0.4
1032
Normal
-0.4
922
Normal
-0.4
685
Tumor
-0.4
136
Normal
-0.4
925
Tumor
-0.4
914
Normal
-0.4
664
Normal
-0.4
1046
Normal
-0.4
882
Normal
-0.4
967
Tumor
-0.4
816
Normal
-0.4
126
Normal
-0.5
924
Normal
-0.5
224
Normal
-0.5
284
Normal
-0.5
446
Normal
-0.5
1044
Normal
-0.5
474
Normal
-0.5
123
Tumor
-0.5
127
Tumor
-0.5
1014
Normal
-0.5
354
Normal
-0.5
368
Normal
-0.5
534
Normal
-0.6
618
Normal
-0.6
451
Tumor
-0.6
858
Normal
-0.6
432
Normal
-0.6
966
Normal
-0.6
141
Tumor
-0.6
388
Normal
-0.6
982
Normal
-0.6
672
Normal
-0.6
627
Tumor
-0.6
976
Normal
-0.6
786
Normal
-0.6
331
Tumor
-0.6
916
Normal
-0.6
394
Normal
-0.6
636
Normal
-0.6
466
Normal
-0.7
367
Tumor
-0.7
146
Normal
-0.7
984
Normal
-0.7
824
Normal
-0.7
478
Normal
-0.7
462
Normal
-0.7
444
Normal
-0.7
964
Normal
-0.7
663
Tumor
-0.7
628
Normal
-0.7
468
Normal
-0.7
313
Tumor
-0.7
884
Normal
-0.7
376
Normal
-0.8
926
Normal
-0.8
912
Normal
-0.8
965
Tumor
-0.8
472
Normal
-0.8
366
Normal
-0.8
978
Normal
-0.8
852
Normal
-0.8
516
Normal
-0.8
813
Tumor
-0.8
211
Tumor
-0.8
917
Tumor
-0.8
362
Normal
-0.8
465
Tumor
-0.8
616
Normal
-0.8
138
Normal
-0.8
814
Normal
-0.8
384
Normal
-0.9
112
Tumor
-0.9
666
Normal
-0.9
818
Normal
-0.9
132
Normal
-1.0
815
Tumor
-1.0
514
Normal
-1.0
363
Tumor
-1.1
473
Tumor
-1.1
482
Normal
-1.2
383
Tumor
-1.4
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
