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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.
TTR 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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0080
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.
57%
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.
43%
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
4359.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
36024.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
22387.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
22327.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
21546.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
20576.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
19700.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
19548.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
18957.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
17696.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
17306.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
16901.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
15043.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
13495.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
13483.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
13389.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
13297.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
13277.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
13059.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
12714.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
12386.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
12059.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
12047.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
11736.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
11565.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
11524.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
11175.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
11090.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
11083.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
11042.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
10466.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
10410.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
10161.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
10109.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
10013.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
9887.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
9783.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
9627.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
9623.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
9613.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
9444.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
9436.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
9322.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
9257.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
8967.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
8721.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
8485.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
8476.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
8252.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
8228.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
8192.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
8168.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
8126.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
8010.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7999.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
7998.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
7911.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
7858.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
7674.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
7624.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
7584.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
7581.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
7561.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
7412.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
7390.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
7327.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
7312.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
7270.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
7168.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
7124.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
7074.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
7031.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
7015.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
6783.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
6730.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
6717.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
6666.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
6647.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
6576.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
6483.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
6403.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
6306.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
6293.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
6193.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
6137.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
6109.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
6107.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
6104.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
6090.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
6062.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
6001.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
5950.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
5925.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
5879.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5865.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
5857.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
5783.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5757.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
5732.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
5726.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
5671.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
5639.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
5620.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
5601.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
5592.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5585.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5535.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
5523.0
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
5517.3
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
5502.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
5487.8
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
5478.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
5466.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
5228.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
5222.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
5219.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
5172.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
5162.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
5157.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
5137.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
5088.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
5054.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
5033.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
5001.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4968.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4946.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
4934.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
4891.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
4844.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
4780.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4753.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
4733.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
4726.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
4671.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
4656.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
4645.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4613.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
4571.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4533.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4503.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4502.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
4468.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
4353.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
4349.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
4321.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
4300.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4231.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
4213.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
4197.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
4156.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
4122.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
4081.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4048.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
3963.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
3962.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
3948.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
3929.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
3884.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3879.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3828.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3768.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3708.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3697.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
3677.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3659.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3601.8
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
3589.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
3558.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3535.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
3500.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
3462.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3455.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3442.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3416.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3354.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
3353.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3318.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3316.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3311.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
3290.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
3268.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3267.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3258.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3236.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3212.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3135.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3132.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3117.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3115.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
3113.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
3090.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3088.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3071.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3054.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3022.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3005.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2930.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2819.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2777.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2774.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2760.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2709.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2597.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2572.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
2518.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2462.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2459.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2445.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2413.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2388.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2387.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2374.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
2357.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2344.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2340.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
2338.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2280.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2236.6
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2227.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2214.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2204.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2198.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2194.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2111.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2103.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2100.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2086.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2081.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2049.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
2045.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2006.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1987.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1938.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1903.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1885.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1872.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1866.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1848.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1823.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1811.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1706.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1669.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1571.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1516.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1505.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1489.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1488.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1446.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1406.7
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1394.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1391.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1377.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1357.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1354.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1353.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1352.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1340.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1332.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1285.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1269.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1256.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1237.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1237.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1220.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1207.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1171.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1135.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1069.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1066.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1060.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1053.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1047.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1033.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1024.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1007.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
983.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
956.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
930.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
926.0
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
925.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
915.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
863.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
859.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
838.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
828.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
813.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
809.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
792.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
783.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
781.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
780.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
774.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
749.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
739.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
736.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
734.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
719.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
715.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
708.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
696.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
683.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
670.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
666.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
643.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
641.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
626.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
618.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
568.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
560.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
558.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
552.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
549.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
542.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
533.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
523.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
518.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
517.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
501.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
497.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
485.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
484.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
446.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
433.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
416.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
407.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
385.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
380.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
380.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
377.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
304.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
300.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
277.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
273.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
253.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
249.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
213.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
197.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
175.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
168.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
164.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
159.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
132.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
128.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
124.5
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
109.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
107.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
94.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
91.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
79.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
65.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
39.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
38.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
36.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
30.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
20.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
15.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
14.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
13.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
7.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
7.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
3.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
TTR 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0014
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.
0%
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.
52%
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
2469.5
Number of samples
231
Samples
Sample
Description
TPM
DO45111
74 years, male, NA, stage:2, alive, 1590 days
14305.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
13195.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
12928.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
12818.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
11125.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
8538.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
8534.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
8337.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
7988.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
7905.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
7879.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
7696.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
7387.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
7300.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
7117.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
6848.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
6740.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
6549.7
DO50807
67 years, male, NA, stage:1, alive, 540 days
6466.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
6164.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
6023.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
5811.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
5730.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
5712.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
5657.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
5504.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
5494.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
5470.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
5323.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
5258.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
5138.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
5128.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
5013.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
4902.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
4895.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
4864.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
4775.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
4684.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
4547.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
4533.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
4521.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
4382.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
4345.5
DO45094
76 years, male, NA, stage:3, alive, 1650 days
4265.3
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4250.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
4204.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
4014.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
3951.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3860.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
3839.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
3792.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
3781.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
3762.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
3757.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
3723.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
3719.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3691.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
3587.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
3576.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
3535.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3449.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
3409.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3296.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
3190.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
3112.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3105.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
2976.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
2967.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
2953.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
2943.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
2928.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2902.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
2755.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2747.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
2732.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
2722.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
2705.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2681.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
2669.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2662.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2601.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
2557.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2527.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2506.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
2492.0
DO23535
67 years, male, NA, stage:1, alive, 960 days
2486.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2485.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
2474.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
2472.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
2451.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2427.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
2420.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2402.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
2362.2
DO45145
78 years, male, NA, stage:3, dead, 60 days
2357.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
2343.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
2313.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
2313.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
2277.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
2207.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
2125.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
2110.7
DO50805
72 years, male, NA, stage:2, alive, 690 days
1932.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
1897.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1864.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
1843.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
1832.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1800.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
1779.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
1758.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
1731.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
1711.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
1695.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1653.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1652.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
1619.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1583.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1573.6
DO45119
74 years, male, NA, stage:3, dead, 510 days
1500.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
1484.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
1478.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
1474.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
1457.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
1456.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1427.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1410.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1393.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
1326.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
1311.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1306.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1274.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
1273.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
1250.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
1191.5
DO23536
56 years, male, NA, stage:2, alive, 930 days
1177.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
1170.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
1135.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
1092.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
1053.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
1030.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
1020.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
1018.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
1016.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
997.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
986.5
DO45187
32 years, female, NA, stage:1, alive, 1260 days
948.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
943.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
938.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
921.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
915.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
901.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
892.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
885.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
859.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
855.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
852.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
843.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
835.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
832.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
831.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
829.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
826.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
796.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
792.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
785.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
784.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
747.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
747.1
DO23529
72 years, male, NA, stage:4, alive, 930 days
740.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
711.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
683.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
674.8
DO45275
65 years, male, NA, stage:3, dead, 10 days
650.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
629.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
624.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
622.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
621.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
597.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
594.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
580.4
DO48730
73 years, female, NA, stage:2, alive, 630 days
540.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
487.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
482.6
DO23521
63 years, male, NA, stage:3, alive, 1110 days
475.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
442.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
437.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
435.8
DO50815
62 years, male, NA, stage:3, alive, 150 days
433.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
433.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
430.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
418.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
411.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
408.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
405.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
404.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
381.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
363.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
353.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
316.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
316.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
300.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
268.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
249.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
226.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
215.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
211.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
171.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
166.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
150.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
117.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
71.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
70.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
70.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
53.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
44.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
43.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
39.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
39.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
32.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
20.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
20.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
16.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
14.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
11.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
10.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
6.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
5.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
3.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
2.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.1
863
Tumor
1.9
785
Tumor
1.2
1045
Tumor
1.1
224
Normal
0.9
713
Tumor
0.9
471
Tumor
0.8
777
Tumor
0.7
192
Normal
0.7
365
Tumor
0.7
425
Tumor
0.7
648
Normal
0.7
884
Normal
0.7
921
Tumor
0.7
461
Tumor
0.6
868
Normal
0.6
424
Normal
0.6
444
Normal
0.6
741
Tumor
0.6
428
Normal
0.6
618
Normal
0.6
647
Tumor
0.6
142
Normal
0.6
1032
Normal
0.5
481
Tumor
0.5
466
Normal
0.5
615
Tumor
0.5
517
Tumor
0.5
665
Tumor
0.5
462
Normal
0.5
964
Normal
0.5
432
Normal
0.5
862
Normal
0.4
221
Tumor
0.4
128
Normal
0.4
487
Tumor
0.4
671
Tumor
0.4
857
Tumor
0.4
641
Tumor
0.4
314
Normal
0.4
975
Tumor
0.4
786
Normal
0.4
1016
Normal
0.4
472
Normal
0.4
1046
Normal
0.4
515
Tumor
0.4
162
Normal
0.4
328
Normal
0.4
746
Normal
0.4
663
Tumor
0.4
628
Normal
0.4
422
Normal
0.4
616
Normal
0.4
363
Tumor
0.4
525
Tumor
0.4
912
Normal
0.4
464
Normal
0.4
563
Tumor
0.4
938
Normal
0.3
196
Normal
0.3
864
Normal
0.3
742
Normal
0.3
982
Normal
0.3
414
Normal
0.3
883
Tumor
0.3
664
Normal
0.3
866
Normal
0.3
375
Tumor
0.3
426
Normal
0.3
484
Normal
0.3
815
Tumor
0.3
148
Normal
0.3
283
Tumor
0.3
922
Normal
0.3
858
Normal
0.3
366
Normal
0.3
636
Normal
0.3
384
Normal
0.3
356
Normal
0.3
572
Normal
0.3
546
Normal
0.3
1041
Tumor
0.3
172
Normal
0.3
186
Normal
0.3
881
Tumor
0.3
743
Tumor
0.3
911
Tumor
0.3
878
Normal
0.3
882
Normal
0.3
494
Normal
0.2
278
Normal
0.2
223
Tumor
0.2
516
Normal
0.2
222
Normal
0.2
394
Normal
0.2
744
Normal
0.2
136
Normal
0.2
534
Normal
0.2
451
Tumor
0.2
354
Normal
0.2
553
Tumor
0.2
568
Normal
0.2
482
Normal
0.2
261
Tumor
0.2
465
Tumor
0.2
376
Normal
0.2
817
Tumor
0.2
824
Normal
0.2
488
Normal
0.2
666
Normal
0.2
137
Tumor
0.2
627
Tumor
0.2
362
Normal
0.2
714
Normal
0.2
672
Normal
0.2
976
Normal
0.2
468
Normal
0.2
388
Normal
0.2
368
Normal
0.2
311
Tumor
0.2
1015
Tumor
0.2
756
Normal
0.2
436
Normal
0.2
132
Normal
0.2
358
Normal
0.2
342
Normal
0.2
446
Normal
0.1
697
Tumor
0.1
327
Tumor
0.1
423
Tumor
0.1
232
Normal
0.1
195
Tumor
0.1
367
Tumor
0.1
421
Tumor
0.1
958
Normal
0.1
526
Normal
0.1
1022
Normal
0.1
391
Tumor
0.1
874
Normal
0.1
474
Normal
0.1
1014
Normal
0.1
695
Tumor
0.1
778
Normal
0.1
483
Tumor
0.1
141
Tumor
0.1
491
Tumor
0.1
723
Tumor
0.1
361
Tumor
0.1
312
Normal
0.1
914
Normal
0.1
818
Normal
0.1
258
Normal
0.1
738
Normal
0.1
126
Normal
0.1
467
Tumor
0.1
412
Normal
0.1
111
Normal
0.1
564
Normal
0.1
1042
Normal
0.1
917
Tumor
0.1
272
Normal
0.1
138
Normal
0.1
968
Normal
0.0
617
Tumor
0.0
518
Normal
0.0
191
Tumor
0.0
716
Normal
0.0
445
Tumor
0.0
571
Tumor
0.0
396
Normal
0.0
332
Normal
0.0
963
Tumor
0.0
867
Tumor
0.0
188
Normal
0.0
574
Normal
0.0
816
Normal
0.0
918
Normal
0.0
262
Normal
0.0
514
Normal
0.0
492
Normal
0.0
413
Tumor
0.0
214
Normal
0.0
954
Normal
0.0
185
Tumor
0.0
573
Tumor
0.0
662
Normal
0.0
392
Normal
-0.1
228
Normal
-0.1
435
Tumor
-0.1
298
Normal
-0.1
146
Normal
-0.1
267
Tumor
-0.1
124
Normal
-0.1
135
Tumor
-0.1
852
Normal
-0.1
926
Normal
-0.1
823
Tumor
-0.1
737
Tumor
-0.1
395
Tumor
-0.1
212
Normal
-0.1
452
Normal
-0.1
967
Tumor
-0.1
545
Tumor
-0.1
696
Normal
-0.1
353
Tumor
-0.1
297
Tumor
-0.1
456
Normal
-0.1
284
Normal
-0.1
448
Normal
-0.1
268
Normal
-0.1
364
Normal
-0.1
1026
Normal
-0.1
161
Tumor
-0.1
478
Normal
-0.1
813
Tumor
-0.2
956
Normal
-0.2
352
Normal
-0.2
722
Normal
-0.2
463
Tumor
-0.2
447
Tumor
-0.2
924
Normal
-0.2
558
Normal
-0.2
455
Tumor
-0.2
343
Tumor
-0.2
913
Tumor
-0.2
1028
Normal
-0.2
916
Normal
-0.2
125
Tumor
-0.2
411
Tumor
-0.2
416
Normal
-0.2
355
Tumor
-0.2
715
Tumor
-0.2
431
Tumor
-0.2
728
Normal
-0.2
112
Tumor
-0.2
386
Normal
-0.2
698
Normal
-0.2
227
Tumor
-0.2
341
Tumor
-0.2
131
Tumor
-0.2
393
Tumor
-0.2
415
Tumor
-0.2
937
Tumor
-0.3
513
Tumor
-0.3
745
Tumor
-0.3
861
Tumor
-0.3
145
Tumor
-0.3
851
Tumor
-0.3
686
Normal
-0.3
873
Tumor
-0.3
427
Tumor
-0.3
147
Tumor
-0.3
383
Tumor
-0.3
217
Tumor
-0.3
114
Normal
-0.3
953
Tumor
-0.3
271
Tumor
-0.3
1025
Tumor
-0.3
642
Normal
-0.3
277
Tumor
-0.3
952
Normal
-0.3
187
Tumor
-0.4
313
Tumor
-0.4
944
Normal
-0.4
1031
Tumor
-0.4
127
Tumor
-0.4
981
Tumor
-0.4
528
Normal
-0.4
567
Tumor
-0.4
286
Normal
-0.4
113
Tumor
-0.4
443
Tumor
-0.4
814
Normal
-0.4
983
Tumor
-0.4
685
Tumor
-0.4
554
Normal
-0.4
978
Normal
-0.4
925
Tumor
-0.4
493
Tumor
-0.5
285
Tumor
-0.5
218
Normal
-0.5
213
Tumor
-0.5
387
Tumor
-0.5
951
Tumor
-0.5
755
Tumor
-0.5
984
Normal
-0.5
1027
Tumor
-0.5
915
Tumor
-0.5
635
Tumor
-0.5
977
Tumor
-0.5
527
Tumor
-0.5
171
Tumor
-0.6
351
Tumor
-0.6
1021
Tumor
-0.6
434
Normal
-0.6
344
Normal
-0.6
498
Normal
-0.6
1013
Tumor
-0.6
433
Tumor
-0.6
331
Tumor
-0.6
557
Tumor
-0.6
966
Normal
-0.6
724
Normal
-0.6
721
Tumor
-0.7
1044
Normal
-0.7
123
Tumor
-0.7
257
Tumor
-0.7
535
Tumor
-0.7
357
Tumor
-0.7
536
Normal
-0.7
211
Tumor
-0.7
923
Tumor
-0.7
385
Tumor
-0.7
477
Tumor
-0.8
538
Normal
-0.8
955
Tumor
-0.8
661
Tumor
-0.8
533
Tumor
-0.8
943
Tumor
-0.8
865
Tumor
-0.9
473
Tumor
-0.9
727
Tumor
-0.9
1043
Tumor
-1.1
231
Tumor
-1.1
524
Normal
-1.1
957
Tumor
-1.1
965
Tumor
-1.2
497
Tumor
-1.4
523
Tumor
-1.4
537
Tumor
-1.5
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.