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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.
FTL is potential prognostic, high expression is unfavorable 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
17212.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
92044.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
72554.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
68129.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
66335.8
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
56486.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
55875.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
54435.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
53002.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
53000.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
49688.7
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
48666.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
48531.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
46763.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
44807.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
43339.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
41867.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
41842.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
41647.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
41265.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
41181.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
40433.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
40167.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
39079.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
38569.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
38412.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
38092.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
37778.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
37174.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
36520.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
35878.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
35719.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
35548.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
35541.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
33945.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
33910.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
33717.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
33328.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
33183.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
33051.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
32618.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
32158.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
32059.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
31879.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
31852.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
31829.6
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
31817.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
31584.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
31233.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
31139.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
30937.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
30914.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
30590.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
30588.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
30081.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
29602.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
29316.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
29124.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
28980.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
28733.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
28286.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
28196.8
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
27366.6
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
26922.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
26849.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
26654.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
26565.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
26532.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
26335.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
26113.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
25663.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
25546.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
25433.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
25161.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
24683.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
24580.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
24475.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
24277.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
24269.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
24152.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
24049.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
23975.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
23954.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
23833.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
23793.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
23773.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
23452.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
23392.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
23368.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
23132.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
23052.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
22822.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
22803.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
22719.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
22367.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
22150.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
22037.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
22035.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
21928.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
21728.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
21658.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
21416.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
21403.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
21361.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
21269.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
21079.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
21073.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
21066.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
20980.7
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
20941.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
20918.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
20910.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
20836.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
20732.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
20718.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
20716.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
20659.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
20631.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
20591.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
20431.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
20403.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
20371.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
20227.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
19916.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
19330.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
19096.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
18936.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
18656.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
18250.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
17991.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
17549.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
17502.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
17312.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
16985.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
16936.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
16927.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
16780.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
16772.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
16584.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
16475.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
16435.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
16328.8
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
16302.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
16299.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
16130.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
16055.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
15986.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
15964.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
15811.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
15753.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
15702.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
15584.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
15520.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
15476.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
15291.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
15256.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
15215.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
15103.9
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
15003.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
14710.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
14679.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
14576.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
14568.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
14550.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
14517.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
14495.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
14480.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
14449.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
14348.1
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
14242.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
14195.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
14140.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
14126.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
14122.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
14122.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
14111.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
14044.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
14014.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
13868.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
13794.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
13790.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
13788.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
13783.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
13578.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
13566.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
13498.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
13453.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
13444.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
13271.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
13161.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
13130.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
13048.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
12981.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
12848.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
12805.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
12725.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
12538.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
12470.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
12426.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
12335.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
12223.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
12117.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
11756.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
11684.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
11676.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
11664.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
11654.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
11612.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
11547.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
11492.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
11268.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
11144.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
11095.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
11062.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
10848.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
10836.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
10785.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
10735.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
10733.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
10718.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
10633.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
10620.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
10611.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
10556.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
10483.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
10448.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
10397.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
10367.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
10325.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
10293.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
10213.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
10211.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
10179.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
10088.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
10074.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
9912.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
9880.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
9849.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
9819.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
9789.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
9684.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
9638.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
9588.3
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
9530.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
9483.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
9457.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
9433.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
9361.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
9282.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
9268.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
9115.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
9037.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
9014.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
9012.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
8981.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
8947.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
8885.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
8881.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
8868.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
8862.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
8829.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
8722.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
8704.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
8653.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
8571.1
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
8524.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
8409.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
8361.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
8257.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
8228.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
8185.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
8083.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
8073.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
8050.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
8023.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
7915.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
7912.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
7879.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
7872.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
7847.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
7836.3
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
7802.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
7775.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
7674.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
7650.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
7486.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
7464.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7442.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
7354.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
7353.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
7341.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
7278.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
7268.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
7136.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
7092.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
7088.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
7071.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
7067.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
7037.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
6978.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
6968.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
6934.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
6933.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
6894.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
6640.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
6630.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
6602.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
6589.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
6546.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
6395.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
6385.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
6382.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
6332.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
6303.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
6277.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
6256.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
6249.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
6216.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
6215.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
6163.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
6151.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
6126.4
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
6122.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
6091.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
5821.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
5704.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5645.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
5629.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
5617.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
5477.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
5470.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
5455.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
5376.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5354.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
5269.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
5267.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
5259.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
5200.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
5127.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
5027.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
4991.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
4890.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
4873.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4348.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
4054.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3911.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
3634.9
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3425.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3374.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3117.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3077.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2870.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2855.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2693.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2653.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2526.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2389.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2264.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2229.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1934.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1886.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 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.
FTL 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 pTPM
25369.0
Number of samples
231
Samples
Sample
Description
pTPM
DO45265
73 years, male, NA, stage:3, alive, 1020 days
106624.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
99730.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
89988.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
86941.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
80003.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
79674.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
76995.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
70278.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
69883.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
65528.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
63801.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
62312.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
61613.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
61151.6
DO50829
78 years, male, NA, stage:3, alive, 570 days
59153.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
57686.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
56272.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
52916.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
52120.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
51972.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
51633.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
49758.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
49163.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
48611.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
48432.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
48259.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
47168.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
45778.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
45180.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
44959.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
44941.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
44663.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
41626.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
41396.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
40466.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
40304.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
40228.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
40227.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
39989.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
39766.6
DO23539
77 years, male, NA, stage:1, alive, 1110 days
39731.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
39471.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
38939.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
38902.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
38129.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
38101.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
37532.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
37419.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
36044.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
35558.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
35405.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
35277.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
34708.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
34390.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
34317.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
34226.8
DO45105
61 years, male, NA, stage:1, alive, 1680 days
33558.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
33506.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
33062.3
DO45187
32 years, female, NA, stage:1, alive, 1260 days
32339.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
32311.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
31836.3
DO48697
64 years, female, NA, stage:2, dead, 810 days
31761.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
31651.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
31539.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
31350.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
31146.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
31032.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
30713.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
30681.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
30234.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
29675.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
29675.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
28992.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
28796.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
28671.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
28108.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
27987.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
27941.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
27925.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
27858.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
27299.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
27239.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
26854.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
26462.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
26226.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
26189.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
25887.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
25521.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
25390.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
25328.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
25218.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
24936.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
24686.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
24353.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
24122.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
23852.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
23781.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
23702.6
DO45141
73 years, male, NA, stage:2, alive, 1320 days
23538.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
23295.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
23244.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
22985.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
22955.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
22844.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
22494.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
22364.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
22200.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
22125.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
21974.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
21934.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
21898.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
21809.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
21639.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
21460.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
21435.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
21401.2
DO48743
69 years, female, NA, stage:2, alive, 570 days
21213.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
21009.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
19841.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
19764.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
19563.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
19409.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
19125.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
18279.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
18104.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
17823.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
17714.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
17676.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
17661.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
17318.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
17104.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
16983.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
16851.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
16777.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
16711.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
16530.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
16290.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
16028.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
16018.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
15918.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
15728.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
15459.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
15401.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
15262.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
15242.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
15076.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
15043.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
14915.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
14892.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
14774.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
14762.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
14422.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
14407.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
14400.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
14302.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
14101.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
14041.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
13946.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
13935.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
13635.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
13628.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
13610.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
13431.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
12868.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
12798.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
12767.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
12649.9
DO45199
86 years, female, NA, stage:2, alive, 1350 days
12506.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
12479.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
12425.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
12234.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
12159.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
12098.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
12040.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
11758.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
11480.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
11283.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
11174.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
11145.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
11113.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
11103.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
10552.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
10504.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
10202.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
10108.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
9983.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
9784.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
9767.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
9745.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
9650.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
9577.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
9575.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
9221.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
9094.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
8923.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
8781.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
8750.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
8737.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
8729.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
8596.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
8461.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
8413.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
8396.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
8078.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
7955.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
7840.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
7725.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
7721.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
7569.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
6926.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
6869.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
6834.8
DO50855
47 years, male, NA, stage:2, alive, 570 days
6570.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
6528.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
6445.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
6353.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
6344.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
6222.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
6166.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
6101.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
5874.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
5836.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
5691.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
5538.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
5413.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
5007.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
4841.4
DO45259
65 years, male, NA, stage:3, alive, 330 days
4720.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
3955.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
2969.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
912
Normal
1.9
914
Normal
1.7
314
Normal
1.6
954
Normal
1.5
1046
Normal
1.5
978
Normal
1.4
466
Normal
1.4
863
Tumor
1.4
364
Normal
1.3
284
Normal
1.2
224
Normal
1.2
388
Normal
1.2
384
Normal
1.2
481
Tumor
1.2
392
Normal
1.2
616
Normal
1.1
421
Tumor
1.1
327
Tumor
1.1
142
Normal
1.0
162
Normal
1.0
944
Normal
1.0
148
Normal
1.0
514
Normal
1.0
353
Tumor
1.0
968
Normal
1.0
482
Normal
1.0
926
Normal
1.0
428
Normal
0.9
1042
Normal
0.9
1014
Normal
0.9
723
Tumor
0.9
432
Normal
0.9
868
Normal
0.9
424
Normal
0.9
478
Normal
0.9
354
Normal
0.8
913
Tumor
0.8
958
Normal
0.8
1045
Tumor
0.8
1032
Normal
0.8
938
Normal
0.8
824
Normal
0.8
464
Normal
0.8
666
Normal
0.8
312
Normal
0.8
965
Tumor
0.8
786
Normal
0.8
311
Tumor
0.8
444
Normal
0.8
858
Normal
0.7
884
Normal
0.7
394
Normal
0.7
524
Normal
0.7
498
Normal
0.6
628
Normal
0.6
352
Normal
0.6
328
Normal
0.6
356
Normal
0.6
864
Normal
0.6
696
Normal
0.6
572
Normal
0.6
376
Normal
0.6
446
Normal
0.6
128
Normal
0.6
866
Normal
0.6
716
Normal
0.5
396
Normal
0.5
918
Normal
0.5
172
Normal
0.5
862
Normal
0.5
232
Normal
0.5
414
Normal
0.5
456
Normal
0.5
964
Normal
0.5
278
Normal
0.5
332
Normal
0.4
976
Normal
0.4
882
Normal
0.4
922
Normal
0.4
636
Normal
0.4
558
Normal
0.4
526
Normal
0.4
1016
Normal
0.4
362
Normal
0.4
911
Tumor
0.4
1044
Normal
0.4
756
Normal
0.4
916
Normal
0.3
814
Normal
0.3
228
Normal
0.3
534
Normal
0.3
468
Normal
0.3
126
Normal
0.3
664
Normal
0.3
722
Normal
0.3
415
Tumor
0.3
818
Normal
0.3
448
Normal
0.3
212
Normal
0.3
262
Normal
0.3
698
Normal
0.2
298
Normal
0.2
391
Tumor
0.2
416
Normal
0.2
1026
Normal
0.2
1022
Normal
0.2
528
Normal
0.2
286
Normal
0.2
188
Normal
0.2
436
Normal
0.2
358
Normal
0.2
571
Tumor
0.2
672
Normal
0.2
484
Normal
0.2
1025
Tumor
0.1
132
Normal
0.1
196
Normal
0.1
422
Normal
0.1
516
Normal
0.1
715
Tumor
0.0
258
Normal
0.0
943
Tumor
0.0
222
Normal
0.0
617
Tumor
0.0
1043
Tumor
0.0
627
Tumor
0.0
852
Normal
0.0
817
Tumor
0.0
615
Tumor
0.0
426
Normal
-0.1
111
Normal
-0.1
146
Normal
-0.1
714
Normal
-0.1
462
Normal
-0.1
713
Tumor
-0.1
648
Normal
-0.1
915
Tumor
-0.1
917
Tumor
-0.1
192
Normal
-0.1
857
Tumor
-0.1
984
Normal
-0.2
268
Normal
-0.2
686
Normal
-0.2
924
Normal
-0.2
494
Normal
-0.2
816
Normal
-0.2
742
Normal
-0.2
488
Normal
-0.2
366
Normal
-0.2
525
Tumor
-0.3
517
Tumor
-0.3
724
Normal
-0.3
467
Tumor
-0.3
472
Normal
-0.3
221
Tumor
-0.3
963
Tumor
-0.3
386
Normal
-0.3
361
Tumor
-0.3
1031
Tumor
-0.3
145
Tumor
-0.3
214
Normal
-0.3
395
Tumor
-0.3
515
Tumor
-0.3
186
Normal
-0.4
447
Tumor
-0.4
663
Tumor
-0.4
823
Tumor
-0.4
956
Normal
-0.4
883
Tumor
-0.4
727
Tumor
-0.4
567
Tumor
-0.4
564
Normal
-0.4
474
Normal
-0.4
568
Normal
-0.4
387
Tumor
-0.4
921
Tumor
-0.4
423
Tumor
-0.4
363
Tumor
-0.4
697
Tumor
-0.4
536
Normal
-0.5
136
Normal
-0.5
813
Tumor
-0.5
877
Tumor
-0.5
878
Normal
-0.5
272
Normal
-0.5
1013
Tumor
-0.5
125
Tumor
-0.5
138
Normal
-0.5
518
Normal
-0.6
383
Tumor
-0.6
618
Normal
-0.6
867
Tumor
-0.6
368
Normal
-0.6
966
Normal
-0.6
778
Normal
-0.6
1041
Tumor
-0.7
777
Tumor
-0.7
187
Tumor
-0.7
231
Tumor
-0.7
195
Tumor
-0.7
975
Tumor
-0.7
217
Tumor
-0.7
728
Normal
-0.7
365
Tumor
-0.7
1028
Normal
-0.7
881
Tumor
-0.7
218
Normal
-0.7
412
Normal
-0.7
513
Tumor
-0.7
741
Tumor
-0.7
473
Tumor
-0.7
147
Tumor
-0.8
982
Normal
-0.8
267
Tumor
-0.8
546
Normal
-0.8
283
Tumor
-0.8
113
Tumor
-0.8
785
Tumor
-0.8
721
Tumor
-0.8
112
Tumor
-0.8
433
Tumor
-0.8
261
Tumor
-0.8
227
Tumor
-0.9
277
Tumor
-0.9
161
Tumor
-0.9
393
Tumor
-0.9
815
Tumor
-0.9
375
Tumor
-0.9
851
Tumor
-0.9
695
Tumor
-0.9
435
Tumor
-0.9
223
Tumor
-1.0
873
Tumor
-1.0
191
Tumor
-1.0
297
Tumor
-1.0
738
Normal
-1.0
114
Normal
-1.0
477
Tumor
-1.0
431
Tumor
-1.0
861
Tumor
-1.0
331
Tumor
-1.0
955
Tumor
-1.1
463
Tumor
-1.1
492
Normal
-1.1
967
Tumor
-1.1
461
Tumor
-1.1
937
Tumor
-1.1
977
Tumor
-1.1
1015
Tumor
-1.1
451
Tumor
-1.2
953
Tumor
-1.2
563
Tumor
-1.2
574
Normal
-1.2
874
Normal
-1.2
355
Tumor
-1.2
427
Tumor
-1.2
491
Tumor
-1.2
745
Tumor
-1.3
185
Tumor
-1.3
665
Tumor
-1.3
557
Tumor
-1.3
923
Tumor
-1.3
465
Tumor
-1.3
952
Normal
-1.3
445
Tumor
-1.3
983
Tumor
-1.4
413
Tumor
-1.4
452
Normal
-1.4
211
Tumor
-1.4
671
Tumor
-1.4
573
Tumor
-1.5
642
Normal
-1.5
647
Tumor
-1.5
455
Tumor
-1.5
981
Tumor
-1.5
213
Tumor
-1.5
411
Tumor
-1.5
865
Tumor
-1.5
313
Tumor
-1.5
1021
Tumor
-1.5
285
Tumor
-1.5
471
Tumor
-1.5
127
Tumor
-1.5
957
Tumor
-1.5
737
Tumor
-1.6
662
Normal
-1.6
257
Tumor
-1.6
271
Tumor
-1.6
342
Normal
-1.6
385
Tumor
-1.6
137
Tumor
-1.6
351
Tumor
-1.6
523
Tumor
-1.7
641
Tumor
-1.7
535
Tumor
-1.7
141
Tumor
-1.7
341
Tumor
-1.7
755
Tumor
-1.7
124
Normal
-1.7
493
Tumor
-1.7
425
Tumor
-1.8
357
Tumor
-1.8
443
Tumor
-1.8
171
Tumor
-1.8
497
Tumor
-1.8
131
Tumor
-1.8
925
Tumor
-1.8
344
Normal
-1.8
744
Normal
-1.9
483
Tumor
-1.9
746
Normal
-1.9
685
Tumor
-1.9
1027
Tumor
-2.0
434
Normal
-2.0
527
Tumor
-2.0
367
Tumor
-2.0
545
Tumor
-2.1
343
Tumor
-2.1
135
Tumor
-2.1
635
Tumor
-2.1
951
Tumor
-2.2
123
Tumor
-2.4
661
Tumor
-2.5
533
Tumor
-2.5
487
Tumor
-2.5
743
Tumor
-2.6
537
Tumor
-2.8
538
Normal
-2.8
554
Normal
-3.0
553
Tumor
-3.1
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.
The Human Protein Atlas project is funded
