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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.
ATP5ME 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 pTPM
929.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4060.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3685.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
3247.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
3108.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2917.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2861.9
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
2676.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2439.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2405.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2362.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2348.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2190.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2085.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2071.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1906.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1849.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1808.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1800.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1781.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1771.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1757.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1742.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1734.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1670.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1667.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1666.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1621.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1613.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1599.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1597.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1553.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1543.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1540.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1520.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
1465.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1447.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1447.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1435.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1404.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1399.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1388.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1358.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1357.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1351.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1337.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1337.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1329.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1318.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
1309.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1309.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1297.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1291.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1290.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1280.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1280.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1277.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1273.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1266.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1260.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1257.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1252.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1243.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1237.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1230.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1227.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1221.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1215.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1209.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1205.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1203.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1178.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1173.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1162.8
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1162.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1161.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1151.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1150.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1149.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
1147.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
1142.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1137.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1132.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
1131.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1129.5
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1122.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1118.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1101.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1098.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1091.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1088.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1087.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1086.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
1084.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1081.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1066.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1066.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1059.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1059.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1058.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1057.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1052.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1045.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1045.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1042.8
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
1028.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1027.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
1025.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1017.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1015.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1012.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1009.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1006.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1006.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1005.8
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1001.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1000.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
990.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
983.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
971.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
966.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
965.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
963.7
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
960.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
958.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
957.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
950.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
947.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
941.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
932.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
931.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
930.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
926.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
925.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
924.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
924.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
919.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
917.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
916.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
907.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
901.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
899.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
896.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
896.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
888.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
886.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
883.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
883.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
879.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
878.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
877.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
875.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
875.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
874.3
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
871.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
868.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
867.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
866.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
865.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
864.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
860.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
857.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
857.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
854.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
847.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
845.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
842.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
840.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
839.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
831.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
828.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
825.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
824.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
821.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
821.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
820.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
817.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
809.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
801.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
801.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
794.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
794.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
791.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
790.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
783.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
782.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
782.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
782.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
782.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
779.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
775.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
774.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
774.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
772.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
771.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
771.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
763.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
762.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
762.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
759.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
759.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
757.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
757.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
755.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
753.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
753.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
752.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
751.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
737.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
734.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
733.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
733.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
723.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
723.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
723.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
722.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
721.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
719.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
718.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
715.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
715.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
715.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
709.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
706.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
702.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
699.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
699.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
696.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
695.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
694.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
693.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
692.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
690.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
690.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
689.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
688.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
687.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
686.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
679.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
675.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
674.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
673.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
670.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
665.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
663.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
659.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
658.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
657.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
655.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
654.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
653.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
652.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
652.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
650.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
648.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
648.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
647.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
646.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
644.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
644.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
639.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
639.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
631.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
628.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
623.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
623.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
622.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
621.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
620.7
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
620.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
619.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
617.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
616.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
616.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
615.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
612.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
611.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
610.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
610.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
609.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
608.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
608.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
605.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
602.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
598.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
595.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
588.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
587.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
586.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
585.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
582.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
580.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
573.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
573.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
571.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
569.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
566.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
563.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
563.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
562.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
561.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
559.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
558.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
557.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
556.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
554.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
554.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
550.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
547.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
545.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
544.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
544.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
543.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
541.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
540.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
539.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
534.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
531.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
531.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
530.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
529.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
528.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
523.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
521.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
510.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
509.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
506.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
506.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
505.0
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
504.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
503.3
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
503.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
502.1
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
502.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
488.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
483.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
478.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
467.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
466.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
463.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
459.2
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
458.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
457.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
456.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
455.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
452.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
447.1
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
443.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
442.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
434.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
431.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
423.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
416.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
414.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
402.4
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
394.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
383.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
337.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
332.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
331.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
325.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
323.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 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.
Survival analysis data not available.
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
627
Tumor
1.4
513
Tumor
1.0
1043
Tumor
0.9
1025
Tumor
0.9
922
Normal
0.8
448
Normal
0.8
1045
Tumor
0.8
882
Normal
0.7
824
Normal
0.7
756
Normal
0.7
745
Tumor
0.7
912
Normal
0.7
515
Tumor
0.7
571
Tumor
0.7
227
Tumor
0.7
818
Normal
0.7
534
Normal
0.7
1032
Normal
0.7
1014
Normal
0.6
1046
Normal
0.6
982
Normal
0.6
823
Tumor
0.6
361
Tumor
0.6
714
Normal
0.6
868
Normal
0.6
487
Tumor
0.6
723
Tumor
0.6
862
Normal
0.6
472
Normal
0.6
488
Normal
0.6
785
Tumor
0.6
564
Normal
0.6
944
Normal
0.6
938
Normal
0.6
722
Normal
0.6
695
Tumor
0.6
1022
Normal
0.6
864
Normal
0.6
464
Normal
0.6
858
Normal
0.5
958
Normal
0.5
746
Normal
0.5
356
Normal
0.5
1042
Normal
0.5
738
Normal
0.5
852
Normal
0.5
918
Normal
0.5
924
Normal
0.5
456
Normal
0.5
786
Normal
0.5
698
Normal
0.5
484
Normal
0.5
546
Normal
0.5
1044
Normal
0.5
514
Normal
0.5
328
Normal
0.5
452
Normal
0.5
1013
Tumor
0.5
462
Normal
0.5
713
Tumor
0.5
925
Tumor
0.5
568
Normal
0.5
926
Normal
0.5
1026
Normal
0.5
964
Normal
0.5
984
Normal
0.5
128
Normal
0.5
436
Normal
0.5
416
Normal
0.5
162
Normal
0.5
412
Normal
0.5
528
Normal
0.5
365
Tumor
0.5
394
Normal
0.5
742
Normal
0.5
228
Normal
0.5
981
Tumor
0.5
923
Tumor
0.4
232
Normal
0.4
616
Normal
0.4
978
Normal
0.4
636
Normal
0.4
364
Normal
0.4
878
Normal
0.4
426
Normal
0.4
728
Normal
0.4
388
Normal
0.4
954
Normal
0.4
494
Normal
0.4
648
Normal
0.4
915
Tumor
0.4
1041
Tumor
0.4
466
Normal
0.4
136
Normal
0.4
696
Normal
0.4
1027
Tumor
0.4
423
Tumor
0.4
716
Normal
0.4
414
Normal
0.4
518
Normal
0.4
615
Tumor
0.4
618
Normal
0.4
428
Normal
0.4
344
Normal
0.4
867
Tumor
0.4
474
Normal
0.4
424
Normal
0.4
816
Normal
0.4
866
Normal
0.4
446
Normal
0.4
755
Tumor
0.4
916
Normal
0.4
952
Normal
0.4
572
Normal
0.3
686
Normal
0.3
914
Normal
0.3
465
Tumor
0.3
258
Normal
0.3
483
Tumor
0.3
517
Tumor
0.3
1016
Normal
0.3
286
Normal
0.3
863
Tumor
0.3
628
Normal
0.3
376
Normal
0.3
874
Normal
0.3
526
Normal
0.3
314
Normal
0.3
284
Normal
0.3
741
Tumor
0.3
358
Normal
0.3
956
Normal
0.3
142
Normal
0.3
196
Normal
0.3
482
Normal
0.3
298
Normal
0.3
967
Tumor
0.3
172
Normal
0.3
222
Normal
0.3
432
Normal
0.3
278
Normal
0.3
976
Normal
0.3
966
Normal
0.3
873
Tumor
0.3
422
Normal
0.3
727
Tumor
0.3
148
Normal
0.3
114
Normal
0.3
363
Tumor
0.2
1028
Normal
0.2
362
Normal
0.2
392
Normal
0.2
132
Normal
0.2
558
Normal
0.2
955
Tumor
0.2
664
Normal
0.2
1031
Tumor
0.2
524
Normal
0.2
354
Normal
0.2
537
Tumor
0.2
214
Normal
0.2
968
Normal
0.2
884
Normal
0.2
342
Normal
0.2
468
Normal
0.2
411
Tumor
0.2
666
Normal
0.2
111
Normal
0.2
523
Tumor
0.2
393
Tumor
0.2
778
Normal
0.2
352
Normal
0.2
396
Normal
0.2
386
Normal
0.2
366
Normal
0.2
224
Normal
0.2
212
Normal
0.2
332
Normal
0.2
138
Normal
0.1
327
Tumor
0.1
257
Tumor
0.1
574
Normal
0.1
415
Tumor
0.1
525
Tumor
0.1
536
Normal
0.1
538
Normal
0.1
272
Normal
0.1
145
Tumor
0.1
697
Tumor
0.1
516
Normal
0.1
491
Tumor
0.1
186
Normal
0.1
744
Normal
0.1
662
Normal
0.1
953
Tumor
0.1
461
Tumor
0.1
368
Normal
0.1
353
Tumor
0.1
911
Tumor
0.1
777
Tumor
0.1
218
Normal
0.1
642
Normal
0.1
312
Normal
0.1
554
Normal
0.1
477
Tumor
0.1
672
Normal
0.1
857
Tumor
0.1
481
Tumor
0.1
451
Tumor
0.1
635
Tumor
0.1
492
Normal
0.1
478
Normal
0.0
188
Normal
0.0
262
Normal
0.0
527
Tumor
0.0
146
Normal
0.0
498
Normal
0.0
921
Tumor
0.0
721
Tumor
0.0
815
Tumor
0.0
557
Tumor
-0.1
434
Normal
-0.1
443
Tumor
-0.1
563
Tumor
-0.1
957
Tumor
-0.1
427
Tumor
-0.1
261
Tumor
-0.1
137
Tumor
-0.1
951
Tumor
-0.1
113
Tumor
-0.1
126
Normal
-0.1
268
Normal
-0.1
267
Tumor
-0.1
341
Tumor
-0.1
861
Tumor
-0.1
937
Tumor
-0.1
425
Tumor
-0.1
553
Tumor
-0.1
737
Tumor
-0.1
715
Tumor
-0.1
221
Tumor
-0.2
473
Tumor
-0.2
851
Tumor
-0.2
685
Tumor
-0.2
384
Normal
-0.2
1021
Tumor
-0.2
231
Tumor
-0.2
433
Tumor
-0.2
617
Tumor
-0.2
124
Normal
-0.2
171
Tumor
-0.2
567
Tumor
-0.2
444
Normal
-0.2
431
Tumor
-0.2
387
Tumor
-0.2
355
Tumor
-0.3
493
Tumor
-0.3
1015
Tumor
-0.3
191
Tumor
-0.3
192
Normal
-0.3
533
Tumor
-0.3
391
Tumor
-0.3
187
Tumor
-0.3
161
Tumor
-0.3
447
Tumor
-0.3
663
Tumor
-0.3
977
Tumor
-0.3
883
Tumor
-0.3
983
Tumor
-0.3
195
Tumor
-0.3
421
Tumor
-0.3
641
Tumor
-0.4
297
Tumor
-0.4
357
Tumor
-0.4
217
Tumor
-0.4
743
Tumor
-0.4
455
Tumor
-0.4
814
Normal
-0.4
963
Tumor
-0.4
913
Tumor
-0.4
112
Tumor
-0.4
127
Tumor
-0.4
223
Tumor
-0.4
135
Tumor
-0.4
313
Tumor
-0.4
271
Tumor
-0.4
535
Tumor
-0.4
813
Tumor
-0.4
647
Tumor
-0.5
471
Tumor
-0.5
285
Tumor
-0.5
351
Tumor
-0.5
435
Tumor
-0.5
141
Tumor
-0.5
917
Tumor
-0.5
497
Tumor
-0.5
213
Tumor
-0.5
975
Tumor
-0.5
573
Tumor
-0.5
125
Tumor
-0.5
665
Tumor
-0.6
943
Tumor
-0.6
463
Tumor
-0.6
881
Tumor
-0.6
865
Tumor
-0.6
147
Tumor
-0.6
185
Tumor
-0.6
817
Tumor
-0.6
413
Tumor
-0.6
445
Tumor
-0.6
383
Tumor
-0.7
211
Tumor
-0.7
385
Tumor
-0.7
467
Tumor
-0.7
724
Normal
-0.7
375
Tumor
-0.7
367
Tumor
-0.7
877
Tumor
-0.8
395
Tumor
-0.8
131
Tumor
-0.8
965
Tumor
-0.8
671
Tumor
-0.8
331
Tumor
-0.8
277
Tumor
-0.8
311
Tumor
-1.0
123
Tumor
-1.0
343
Tumor
-1.0
661
Tumor
-1.0
283
Tumor
-1.1
545
Tumor
-1.1
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.