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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.
RABL6 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
11.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
88.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
57.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
55.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
52.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
52.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
49.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
47.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
47.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
44.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
41.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
41.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
41.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
40.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
38.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
38.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
37.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
37.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
34.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
32.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
30.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
29.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
27.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
27.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
27.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
27.5
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
27.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
25.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
25.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
25.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
25.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
23.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
23.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
22.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
22.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
22.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
21.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
20.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
20.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
20.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
19.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
19.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
19.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
19.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
19.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
19.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
18.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
18.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
18.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
17.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
17.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
16.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
16.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
16.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
15.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
15.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
15.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
15.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
15.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
15.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
14.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
14.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
14.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
14.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
14.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
14.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
14.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
14.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
13.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
13.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
13.6
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
13.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
13.3
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
13.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
13.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
13.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
12.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
12.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
12.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
12.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
12.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
12.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
12.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
12.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
12.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
12.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
12.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
11.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
11.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
11.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
11.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
11.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
11.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
11.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
11.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
11.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
11.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
11.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
11.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
10.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
10.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
10.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
10.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
10.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
10.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
10.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
10.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
10.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
10.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
10.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
10.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
10.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
10.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
10.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
10.2
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
10.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
10.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
10.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
10.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
10.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
10.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
10.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
9.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
9.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
9.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
9.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
9.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
9.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
9.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
9.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
9.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
9.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
9.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
9.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
9.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
9.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
9.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
9.4
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
9.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
9.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
9.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
9.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
9.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
9.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
9.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
9.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
9.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
9.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
9.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
9.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
9.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
9.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
9.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
9.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
9.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
9.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
9.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
9.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
8.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
8.9
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
8.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
8.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
8.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
8.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
8.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
8.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
8.8
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
8.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
8.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
8.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
8.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
8.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
8.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
8.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
8.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
8.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
8.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
8.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
8.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
8.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
8.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
8.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
8.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
8.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
8.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
8.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
8.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
8.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
8.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
8.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
8.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
8.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
8.1
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
8.1
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
8.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
8.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
8.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
8.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
8.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
8.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
8.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
7.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
7.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
7.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
7.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
7.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
7.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
7.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
7.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
7.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
7.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
7.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
7.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
7.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
7.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
7.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
7.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
7.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
7.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
7.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
7.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
7.6
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
7.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
7.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
7.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
7.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
7.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
7.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
7.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
7.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
7.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
7.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
7.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
7.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
7.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
7.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
7.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
7.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
7.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
7.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
7.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
7.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
7.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
7.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
7.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
7.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
7.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
7.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
7.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
7.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
7.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
7.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
7.0
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
7.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
7.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
7.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
6.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
6.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
6.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
6.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
6.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
6.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
6.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
6.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
6.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
6.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
6.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
6.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
6.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
6.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
6.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
6.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
6.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
6.6
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
6.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
6.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
6.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
6.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
6.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
6.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
6.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
6.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
6.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
6.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
6.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
6.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
6.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
6.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
6.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
6.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
6.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
6.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
6.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
5.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
5.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
5.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
5.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
5.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
5.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
5.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
5.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
5.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
5.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
5.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
5.6
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
5.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
5.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
5.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
5.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
5.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
5.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
5.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
5.4
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
5.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
5.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
5.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
5.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
5.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
5.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
5.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
5.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
4.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
4.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
4.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
4.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
4.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
4.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
4.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
4.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
4.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
4.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
4.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
4.5
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
4.5
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
4.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4.1
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
4.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
3.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
3.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
3.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
3.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
3.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 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
917
Tumor
1.1
211
Tumor
1.0
743
Tumor
0.9
491
Tumor
0.8
311
Tumor
0.7
385
Tumor
0.6
478
Normal
0.6
536
Normal
0.6
192
Normal
0.6
524
Normal
0.5
538
Normal
0.5
498
Normal
0.5
881
Tumor
0.5
444
Normal
0.5
447
Tumor
0.5
413
Tumor
0.5
823
Tumor
0.5
1021
Tumor
0.4
224
Normal
0.4
966
Normal
0.4
427
Tumor
0.4
516
Normal
0.4
978
Normal
0.4
943
Tumor
0.4
914
Normal
0.4
721
Tumor
0.4
1016
Normal
0.4
916
Normal
0.4
492
Normal
0.4
975
Tumor
0.4
716
Normal
0.4
852
Normal
0.4
297
Tumor
0.4
528
Normal
0.4
352
Normal
0.4
434
Normal
0.4
976
Normal
0.4
958
Normal
0.4
954
Normal
0.4
944
Normal
0.3
696
Normal
0.3
857
Tumor
0.3
535
Tumor
0.3
778
Normal
0.3
984
Normal
0.3
814
Normal
0.3
1031
Tumor
0.3
546
Normal
0.3
874
Normal
0.3
432
Normal
0.3
952
Normal
0.3
938
Normal
0.3
921
Tumor
0.3
343
Tumor
0.3
514
Normal
0.3
686
Normal
0.3
695
Tumor
0.3
366
Normal
0.3
968
Normal
0.3
268
Normal
0.3
344
Normal
0.3
574
Normal
0.3
554
Normal
0.3
212
Normal
0.3
1042
Normal
0.3
213
Tumor
0.3
1028
Normal
0.3
864
Normal
0.2
354
Normal
0.2
415
Tumor
0.2
818
Normal
0.2
884
Normal
0.2
126
Normal
0.2
494
Normal
0.2
1022
Normal
0.2
386
Normal
0.2
878
Normal
0.2
982
Normal
0.2
283
Tumor
0.2
1032
Normal
0.2
956
Normal
0.2
484
Normal
0.2
816
Normal
0.2
262
Normal
0.2
866
Normal
0.2
661
Tumor
0.2
364
Normal
0.2
698
Normal
0.2
384
Normal
0.2
545
Tumor
0.2
188
Normal
0.2
396
Normal
0.2
672
Normal
0.2
277
Tumor
0.2
1044
Normal
0.2
467
Tumor
0.2
558
Normal
0.2
482
Normal
0.2
572
Normal
0.2
824
Normal
0.2
714
Normal
0.2
1046
Normal
0.2
744
Normal
0.2
368
Normal
0.2
383
Tumor
0.2
412
Normal
0.2
455
Tumor
0.2
284
Normal
0.2
518
Normal
0.2
1014
Normal
0.2
426
Normal
0.2
416
Normal
0.2
214
Normal
0.2
125
Tumor
0.2
525
Tumor
0.2
217
Tumor
0.2
955
Tumor
0.2
862
Normal
0.2
456
Normal
0.2
488
Normal
0.2
863
Tumor
0.2
756
Normal
0.2
312
Normal
0.2
424
Normal
0.2
471
Tumor
0.2
922
Normal
0.2
926
Normal
0.2
666
Normal
0.2
882
Normal
0.2
858
Normal
0.2
1026
Normal
0.2
924
Normal
0.2
724
Normal
0.1
328
Normal
0.1
365
Tumor
0.1
327
Tumor
0.1
628
Normal
0.1
422
Normal
0.1
497
Tumor
0.1
362
Normal
0.1
715
Tumor
0.1
474
Normal
0.1
124
Normal
0.1
964
Normal
0.1
195
Tumor
0.1
786
Normal
0.1
963
Tumor
0.1
375
Tumor
0.1
111
Normal
0.1
448
Normal
0.1
564
Normal
0.1
722
Normal
0.1
1043
Tumor
0.1
851
Tumor
0.1
258
Normal
0.1
918
Normal
0.1
713
Tumor
0.1
526
Normal
0.1
353
Tumor
0.1
142
Normal
0.1
468
Normal
0.1
114
Normal
0.1
534
Normal
0.1
472
Normal
0.1
728
Normal
0.1
313
Tumor
0.1
232
Normal
0.1
272
Normal
0.1
436
Normal
0.1
285
Tumor
0.1
355
Tumor
0.1
563
Tumor
0.1
785
Tumor
0.1
868
Normal
0.1
286
Normal
0.1
662
Normal
0.1
912
Normal
0.1
218
Normal
0.1
742
Normal
0.1
723
Tumor
0.1
817
Tumor
0.1
392
Normal
0.1
376
Normal
0.1
342
Normal
0.1
446
Normal
0.1
146
Normal
0.1
697
Tumor
0.1
553
Tumor
0.1
746
Normal
0.1
421
Tumor
0.1
222
Normal
0.1
414
Normal
0.0
388
Normal
0.0
981
Tumor
0.0
568
Normal
0.0
135
Tumor
0.0
513
Tumor
0.0
462
Normal
0.0
642
Normal
0.0
648
Normal
0.0
616
Normal
0.0
1025
Tumor
0.0
953
Tumor
0.0
664
Normal
0.0
271
Tumor
0.0
461
Tumor
0.0
923
Tumor
0.0
913
Tumor
0.0
861
Tumor
0.0
341
Tumor
0.0
738
Normal
0.0
228
Normal
0.0
278
Normal
0.0
428
Normal
0.0
515
Tumor
0.0
196
Normal
0.0
937
Tumor
0.0
636
Normal
0.0
128
Normal
0.0
641
Tumor
0.0
1015
Tumor
0.0
481
Tumor
0.0
466
Normal
0.0
145
Tumor
0.0
464
Normal
0.0
191
Tumor
0.0
394
Normal
0.0
356
Normal
0.0
162
Normal
0.0
172
Normal
0.0
815
Tumor
0.0
148
Normal
0.0
223
Tumor
0.0
332
Normal
0.0
493
Tumor
0.0
573
Tumor
0.0
131
Tumor
0.0
483
Tumor
-0.1
227
Tumor
-0.1
433
Tumor
-0.1
1045
Tumor
-0.1
873
Tumor
-0.1
132
Normal
-0.1
358
Normal
-0.1
185
Tumor
-0.1
867
Tumor
-0.1
977
Tumor
-0.1
361
Tumor
-0.1
523
Tumor
-0.1
737
Tumor
-0.1
187
Tumor
-0.1
463
Tumor
-0.1
136
Normal
-0.1
925
Tumor
-0.1
357
Tumor
-0.1
617
Tumor
-0.1
425
Tumor
-0.1
298
Normal
-0.1
915
Tumor
-0.1
983
Tumor
-0.1
865
Tumor
-0.1
883
Tumor
-0.1
777
Tumor
-0.1
367
Tumor
-0.1
221
Tumor
-0.1
618
Normal
-0.1
671
Tumor
-0.1
452
Normal
-0.1
423
Tumor
-0.1
331
Tumor
-0.1
951
Tumor
-0.1
813
Tumor
-0.1
727
Tumor
-0.1
445
Tumor
-0.1
755
Tumor
-0.2
957
Tumor
-0.2
138
Normal
-0.2
517
Tumor
-0.2
141
Tumor
-0.2
663
Tumor
-0.2
965
Tumor
-0.2
186
Normal
-0.2
113
Tumor
-0.2
257
Tumor
-0.2
567
Tumor
-0.2
967
Tumor
-0.2
665
Tumor
-0.2
411
Tumor
-0.2
314
Normal
-0.2
647
Tumor
-0.2
451
Tumor
-0.2
477
Tumor
-0.2
231
Tumor
-0.2
161
Tumor
-0.2
391
Tumor
-0.2
112
Tumor
-0.2
363
Tumor
-0.3
487
Tumor
-0.3
431
Tumor
-0.3
261
Tumor
-0.3
745
Tumor
-0.3
435
Tumor
-0.3
627
Tumor
-0.3
395
Tumor
-0.3
1013
Tumor
-0.3
877
Tumor
-0.3
1041
Tumor
-0.3
615
Tumor
-0.3
635
Tumor
-0.3
267
Tumor
-0.3
911
Tumor
-0.3
127
Tumor
-0.3
351
Tumor
-0.4
443
Tumor
-0.4
533
Tumor
-0.4
741
Tumor
-0.4
557
Tumor
-0.4
473
Tumor
-0.4
147
Tumor
-0.4
527
Tumor
-0.4
685
Tumor
-0.4
1027
Tumor
-0.4
137
Tumor
-0.5
571
Tumor
-0.5
393
Tumor
-0.5
387
Tumor
-0.5
537
Tumor
-0.5
465
Tumor
-0.5
123
Tumor
-0.6
171
Tumor
-0.9
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
