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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 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
14551.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
78586.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
59850.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
55782.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
53720.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
47708.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
47553.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
46920.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
45613.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
44132.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
42928.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
40195.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
39467.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
38411.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
37648.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
35489.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
35168.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
35049.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
34902.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
34871.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
34780.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
34275.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
33216.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
32874.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
32603.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
30817.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
30645.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
30469.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
30340.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
30296.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
30186.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
30151.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
29808.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
29311.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
29151.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
28580.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
28425.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
28110.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
28023.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
27841.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
27734.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
27679.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
27607.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
27395.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
27195.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
27001.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
26926.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
26382.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
26359.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
26127.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
26015.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
26002.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
25942.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
25887.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
25576.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
25119.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
25094.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
24834.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
24548.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
24294.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
23541.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
23350.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
23011.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
22952.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
22813.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
22668.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
22624.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
22508.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
22287.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
22237.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
22161.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
22114.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
21547.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
21228.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
21099.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
20931.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
20904.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
20890.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
20794.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
20544.3
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
20542.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
20501.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
20458.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
20409.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
20306.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
20127.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
20055.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
19958.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
19869.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
19615.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
19354.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
19324.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
19252.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
19213.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
19139.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
18992.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
18702.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
18518.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
18210.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
18173.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
18154.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
18115.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
18106.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
18085.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
17981.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
17943.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
17826.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
17812.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
17761.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
17679.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
17673.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
17624.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
17623.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
17608.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
17592.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
17545.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
17524.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
17415.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
17153.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
17108.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
16869.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
16635.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
16516.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
16483.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
16274.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
16244.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
16143.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
15867.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
15722.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
15692.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
15555.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
15222.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
14784.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
14635.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
14621.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
14520.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
14461.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
14243.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
14185.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
14178.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
14170.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
14145.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
14124.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
13996.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
13981.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
13974.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
13897.1
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
13458.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
13402.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
13400.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
13370.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
13353.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
13321.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
13259.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
13140.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
13004.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
12949.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
12741.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
12735.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
12542.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
12479.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
12473.7
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
12469.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
12398.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
12306.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
12286.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
12280.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
12122.5
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
12079.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
12046.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
11943.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
11941.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
11909.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
11886.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
11844.9
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
11824.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
11821.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
11805.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
11786.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
11778.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
11702.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
11697.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
11636.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
11603.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
11512.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
11415.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
11414.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
11385.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
11207.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
11192.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
11070.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
10997.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
10945.0
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
10894.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
10889.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
10809.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
10792.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
10748.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
10512.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
10400.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
10362.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
10303.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
10241.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
10185.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
10024.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
10013.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
9675.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
9628.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
9616.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
9391.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
9367.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
9352.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
9335.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
9307.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
9305.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
9301.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
9292.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
9206.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
9167.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
9166.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
9083.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
9031.2
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
8998.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
8916.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
8906.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
8899.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
8891.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
8799.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
8788.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
8752.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
8714.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
8714.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
8616.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
8569.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
8509.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
8444.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
8387.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
8365.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
8364.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
8316.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
8220.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
8137.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
8107.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
8096.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
7922.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
7895.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
7882.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
7853.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
7819.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
7813.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
7722.4
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
7693.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
7673.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
7666.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
7539.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
7514.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
7484.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
7407.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
7379.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
7363.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
7354.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
7350.1
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
7330.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
7293.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
7270.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
7177.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
7146.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
7086.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
7045.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
7031.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
6990.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
6980.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
6909.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
6903.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
6858.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
6842.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
6833.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
6833.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
6806.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
6773.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
6727.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
6675.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
6622.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
6619.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
6579.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
6567.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
6555.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
6413.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
6321.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
6246.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
6197.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
6184.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
6160.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
6140.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
6135.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
6081.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
6041.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6010.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
5998.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
5917.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
5908.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
5890.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
5735.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
5652.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
5617.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5609.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
5526.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
5523.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5476.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
5471.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
5390.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
5388.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
5376.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
5374.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
5318.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5297.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
5296.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
5274.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
5230.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
5209.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
5195.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
5149.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
5093.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
5064.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
5009.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
4940.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
4905.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
4789.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4730.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
4715.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4706.2
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
4624.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
4603.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
4590.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
4583.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
4536.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
4425.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
4397.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
4388.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
4158.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4153.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
4061.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
4039.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3689.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3596.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
3302.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3234.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2877.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2812.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2767.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2594.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2412.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2404.2
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2296.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2276.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2202.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1987.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1951.1
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1873.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1726.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1614.3
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 TPM
15331.2
Number of samples
231
Samples
Sample
Description
TPM
DO45265
73 years, male, NA, stage:3, alive, 1020 days
65582.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
63869.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
56068.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
51172.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
51161.3
DO23540
73 years, male, NA, stage:1, alive, 750 days
49225.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
46235.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
44564.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
44561.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
44218.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
40608.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
40254.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
39177.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
38909.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
38076.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
35840.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
35310.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
35023.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
32675.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
32152.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
30975.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
30958.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
30799.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
30742.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
30040.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
29183.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
28832.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
28735.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
28565.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
28394.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
27743.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
27139.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
26703.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
26453.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
26239.3
DO45149
70 years, female, NA, stage:2, alive, 1260 days
26196.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
25763.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
25434.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
25351.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
25099.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
24937.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
23787.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
23340.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
23300.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
23287.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
23232.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
22479.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
22012.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
21976.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
21656.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
20918.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
20696.5
DO50808
68 years, male, NA, stage:2, alive, 570 days
20605.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
20136.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
20070.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
19983.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
19854.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
19250.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
19109.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
19080.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
18976.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
18929.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
18781.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
18751.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
18728.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
18652.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
18464.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
17983.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
17952.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
17753.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
17697.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
17632.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
17624.4
DO45113
58 years, male, NA, stage:3, alive, 1560 days
17508.9
DO50857
72 years, male, NA, stage:2, alive, 210 days
16793.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
16753.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
16737.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
16713.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
16364.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
16293.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
16167.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
16116.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
15876.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
15702.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
15619.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
15388.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
15255.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
15200.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
14783.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
14696.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
14651.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
14649.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
14649.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
14601.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
14319.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
14318.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
14206.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
14178.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
14054.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
13991.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
13860.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
13822.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
13674.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
13495.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
13458.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
13320.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
13286.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
13237.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
13154.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
13110.3
DO48682
72 years, female, NA, stage:3, dead, 120 days
13082.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
12961.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
12932.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
12789.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
12701.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
12698.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
12694.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
12533.9
DO50839
47 years, female, NA, stage:3, alive, 330 days
12233.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
11961.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
11549.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
11543.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
11525.5
DO48761
55 years, male, NA, stage:2, alive, 870 days
11410.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
11349.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
11349.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
11127.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
10981.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
10456.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
10430.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
10391.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
10082.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
9876.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
9850.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
9676.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
9661.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
9661.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
9647.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
9427.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
9358.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
9327.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
9323.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
9316.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
9259.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
9203.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
9177.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
9021.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
8981.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
8918.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
8750.3
DO45255
81 years, male, NA, stage:3, alive, 720 days
8718.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
8634.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
8500.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
8486.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
8442.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
8315.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
8175.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
8150.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
8140.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
8135.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
8067.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
8015.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
7982.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
7871.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
7706.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
7626.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
7534.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
7422.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
7277.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
7194.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
7189.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
7126.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
7115.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
7068.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
6951.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
6948.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
6945.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
6870.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
6840.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
6733.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
6481.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
6459.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
6022.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
5901.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
5814.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
5784.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
5697.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
5672.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
5668.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
5432.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
5323.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5202.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
5201.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
5169.7
DO227643
79 years, male, NA, stage:2, alive, 1260 days
5163.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
5124.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
5076.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
5054.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
5030.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
4997.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
4908.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
4882.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
4857.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
4830.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
4807.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
4757.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
4728.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
4318.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4174.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
4081.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
3911.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
3899.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
3802.5
DO45283
60 years, male, NA, stage:3, alive, 510 days
3727.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
3685.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
3675.9
DO45247
31 years, female, NA, stage:2, alive, 210 days
3565.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
3551.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
3515.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3451.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
3232.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
3215.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
3077.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
3059.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
2855.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2711.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
2662.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
2597.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
2411.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1707.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
1464.3
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
