We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
AMBP is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5486.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
18786.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
16452.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
13728.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
13463.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
12913.9
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
12767.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
12458.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
12370.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
12347.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
11729.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
11565.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
11417.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
11334.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
11147.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
10965.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
10940.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
10438.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
10403.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
10387.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
10383.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
10252.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
10138.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
9971.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
9928.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
9794.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
9704.6
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
9696.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
9677.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
9636.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
9588.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
9530.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
9514.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
9511.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
9424.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
9417.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
9412.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
9404.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
9220.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
9139.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
9103.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
8943.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
8933.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
8845.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
8801.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
8726.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
8701.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
8684.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
8656.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
8622.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
8610.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
8558.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
8550.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
8502.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
8496.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
8483.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
8462.1
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
8436.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
8381.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
8326.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
8326.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
8325.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
8298.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
8147.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
8133.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
8093.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
8074.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
8055.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
8020.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
8019.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
8016.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
7918.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
7908.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
7901.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
7846.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
7841.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
7782.5
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
7759.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
7743.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
7716.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
7705.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
7695.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
7604.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7589.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
7553.2
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
7526.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
7489.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
7469.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
7367.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
7357.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
7340.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
7308.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
7230.0
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
7208.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
7204.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
7173.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
7168.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
7149.3
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
7147.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
7127.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
7104.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
7098.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
7062.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
7042.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
6995.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
6986.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
6984.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
6949.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
6914.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
6890.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
6886.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
6844.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6832.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6821.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
6815.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
6784.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
6737.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
6726.9
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
6677.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6659.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
6596.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
6572.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
6556.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
6548.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
6495.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
6493.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
6469.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
6453.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
6359.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
6312.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
6310.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
6298.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
6284.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
6275.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
6236.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
6215.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
6185.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
6171.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
6161.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
6150.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
6141.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
6132.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
6106.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
6098.5
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
6091.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
6089.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
6081.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
6064.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
6054.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
6031.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
6010.0
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
5989.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5987.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
5967.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
5955.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
5941.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
5941.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
5937.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
5922.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
5887.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
5871.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
5841.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
5825.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
5760.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
5642.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5639.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5617.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
5558.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
5548.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
5538.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
5520.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
5439.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
5412.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
5370.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5369.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
5366.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
5284.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
5267.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
5254.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
5184.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
5178.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
5168.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
5099.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
5089.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
5084.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
5081.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
5077.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5071.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
5038.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4990.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
4973.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4946.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
4861.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
4841.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
4831.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4816.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
4808.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
4803.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
4798.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
4744.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
4697.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4677.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
4646.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
4625.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4612.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
4589.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
4586.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
4557.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
4548.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
4541.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4491.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
4482.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
4477.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4439.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
4426.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
4412.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
4398.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
4376.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
4365.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
4357.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
4331.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
4321.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
4315.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
4283.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4257.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
4251.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4249.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4242.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4222.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
4216.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
4189.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
4184.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4165.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
4080.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
4076.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4062.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3994.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3985.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3972.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3952.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3935.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3932.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
3931.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3931.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3928.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
3918.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3907.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3882.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
3874.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3862.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
3847.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
3847.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3820.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3811.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3811.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3780.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3773.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3695.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3695.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3683.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3673.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3661.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
3653.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
3628.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
3623.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3619.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3617.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
3583.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3575.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3560.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3558.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3553.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3551.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3521.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3506.8
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3478.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3469.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
3448.8
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3440.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
3413.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3408.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
3381.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3313.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3297.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
3296.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3284.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3230.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
3214.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3203.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
3188.3
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3157.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3148.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3004.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2933.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2927.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2888.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2798.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2792.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2771.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2748.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2729.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2714.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
2709.8
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
2655.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2647.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2537.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
2505.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2489.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2401.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2336.7
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
2265.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2262.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2239.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2210.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2197.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2182.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
2160.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2144.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2105.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
2104.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2085.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2027.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1992.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1951.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1933.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1932.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1918.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1889.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1843.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1817.4
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1743.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1741.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1736.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1720.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1684.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1668.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1529.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1484.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1477.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1403.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1382.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1370.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1321.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1279.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1263.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
1171.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1007.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
963.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
879.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
696.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
661.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
599.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
586.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
535.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
452.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
314.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
274.5
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
139.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
51.9
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
11.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
10.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
9.1
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.
AMBP is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5554.5
Number of samples
231
Samples
Sample
Description
pTPM
DO50789
73 years, female, NA, stage:2, alive, 570 days
16479.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
15060.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
14728.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
13935.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
13010.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
12750.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
12564.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
12541.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
12537.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
11571.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
11546.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
11426.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
11406.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
11310.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
11177.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
11054.3
DO23538
67 years, male, NA, stage:2, alive, 450 days
11005.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
10843.2
DO48674
80 years, male, NA, stage:2, alive, 1260 days
10730.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
10488.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
10340.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
10311.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
10270.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
10223.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
10211.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
10183.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
10050.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
10001.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
9977.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
9972.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
9810.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
9794.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
9731.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
9170.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
9147.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
9141.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
9100.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
8995.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
8978.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
8837.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
8710.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
8430.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
8398.6
DO45123
78 years, female, NA, stage:2, dead, 570 days
8376.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
8325.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
8198.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
8090.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
8062.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
8048.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
7975.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
7904.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
7799.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
7644.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
7642.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
7634.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
7613.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
7510.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
7470.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
7431.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
7376.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
7278.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
7225.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
7190.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
7187.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
7075.6
DO48751
68 years, male, NA, stage:2, dead, 480 days
7063.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
7010.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
6990.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
6989.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
6981.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
6976.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
6965.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
6895.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
6883.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
6863.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
6821.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
6710.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
6698.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
6697.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
6663.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
6647.6
DO23533
61 years, male, NA, stage:2, alive, 900 days
6598.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
6550.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
6529.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
6520.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
6512.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
6505.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
6481.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
6416.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
6410.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
6392.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
6361.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
6354.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
6302.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
6295.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
6282.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
6281.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
6248.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
6207.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
6180.1
DO50822
66 years, male, NA, stage:2, alive, 510 days
6166.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
6138.1
DO45117
73 years, female, NA, stage:2, dead, 1110 days
6111.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
6068.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
5813.2
DO45281
83 years, male, NA, stage:4, alive, 750 days
5772.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
5761.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
5740.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
5709.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
5623.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
5591.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
5585.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
5550.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
5514.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
5439.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
5433.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
5368.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
5269.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
5235.1
DO48746
76 years, male, NA, stage:3, alive, 570 days
5091.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
5084.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
5007.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
5005.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
4986.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
4940.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
4762.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
4761.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
4754.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
4745.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
4735.1
DO45239
42 years, male, NA, stage:2, alive, 870 days
4711.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
4695.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
4686.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
4685.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
4679.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
4663.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4604.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
4443.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
4387.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
4309.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
4301.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
4214.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
4169.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
4121.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
4116.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
4088.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
4031.3
DO23510
80 years, female, NA, stage:2, alive, 870 days
4004.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3985.7
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3981.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
3967.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3966.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
3950.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
3921.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
3840.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
3806.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
3709.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
3584.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
3557.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
3524.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
3503.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
3437.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3399.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3373.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3357.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
3313.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3293.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3293.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
3235.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3226.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
3191.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
3186.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
3133.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
3095.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
3067.1
DO45223
67 years, male, NA, stage:4, alive, 1020 days
3067.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2960.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
2958.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2947.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
2825.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
2822.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
2815.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
2810.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
2757.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
2661.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2599.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2559.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
2552.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2461.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
2414.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
2375.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
2343.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
2296.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
2118.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
2001.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
1988.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
1806.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1605.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
1602.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1577.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1528.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1504.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
1498.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1380.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
1332.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
1310.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
1225.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
1209.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
1202.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
1102.9
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1045.4
DO50778
60 years, male, NA, stage:4, alive, 630 days
984.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
949.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
879.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
864.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
850.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
742.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
223.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
144.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
77.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
75.0
DO45289
78 years, female, NA, stage:3, alive, 360 days
49.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
24.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
19.6
DO23523
52 years, male, NA, stage:3, alive, 1080 days
12.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
11.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
10.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
8.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
6.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
4.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.4
343
Tumor
1.3
425
Tumor
1.3
817
Tumor
1.1
921
Tumor
1.1
471
Tumor
1.1
375
Tumor
1.1
815
Tumor
0.9
745
Tumor
0.9
355
Tumor
0.9
863
Tumor
0.9
385
Tumor
0.8
635
Tumor
0.8
227
Tumor
0.7
975
Tumor
0.7
135
Tumor
0.7
697
Tumor
0.7
391
Tumor
0.7
573
Tumor
0.7
567
Tumor
0.7
823
Tumor
0.6
363
Tumor
0.6
313
Tumor
0.6
671
Tumor
0.6
192
Normal
0.6
223
Tumor
0.6
517
Tumor
0.6
277
Tumor
0.5
1045
Tumor
0.5
125
Tumor
0.5
951
Tumor
0.5
141
Tumor
0.5
1025
Tumor
0.5
571
Tumor
0.5
743
Tumor
0.5
112
Tumor
0.5
257
Tumor
0.4
131
Tumor
0.4
983
Tumor
0.4
393
Tumor
0.4
713
Tumor
0.4
553
Tumor
0.4
523
Tumor
0.4
455
Tumor
0.3
663
Tumor
0.3
411
Tumor
0.3
367
Tumor
0.3
113
Tumor
0.3
535
Tumor
0.3
641
Tumor
0.3
515
Tumor
0.3
487
Tumor
0.3
147
Tumor
0.3
137
Tumor
0.3
461
Tumor
0.3
744
Normal
0.2
881
Tumor
0.2
741
Tumor
0.2
342
Normal
0.2
142
Normal
0.2
777
Tumor
0.2
785
Tumor
0.2
545
Tumor
0.2
923
Tumor
0.2
271
Tumor
0.2
365
Tumor
0.2
376
Normal
0.2
221
Tumor
0.1
865
Tumor
0.1
963
Tumor
0.1
217
Tumor
0.1
527
Tumor
0.1
533
Tumor
0.1
423
Tumor
0.1
938
Normal
0.1
435
Tumor
0.1
1041
Tumor
0.1
742
Normal
0.1
392
Normal
0.1
383
Tumor
0.1
715
Tumor
0.1
297
Tumor
0.1
1043
Tumor
0.1
387
Tumor
0.1
477
Tumor
0.1
755
Tumor
0.1
615
Tumor
0.1
883
Tumor
0.1
421
Tumor
0.1
746
Normal
0.1
574
Normal
0.1
436
Normal
0.1
554
Normal
0.1
353
Tumor
0.1
463
Tumor
0.1
452
Normal
0.1
187
Tumor
0.1
538
Normal
0.1
384
Normal
0.1
737
Tumor
0.1
145
Tumor
0.1
862
Normal
0.1
267
Tumor
0.1
445
Tumor
0.1
224
Normal
0.1
161
Tumor
0.1
546
Normal
0.0
695
Tumor
0.0
132
Normal
0.0
283
Tumor
0.0
913
Tumor
0.0
111
Normal
0.0
422
Normal
0.0
618
Normal
0.0
647
Tumor
0.0
914
Normal
0.0
878
Normal
0.0
341
Tumor
0.0
474
Normal
0.0
314
Normal
0.0
958
Normal
0.0
368
Normal
0.0
124
Normal
0.0
386
Normal
0.0
388
Normal
0.0
128
Normal
0.0
196
Normal
0.0
813
Tumor
0.0
298
Normal
0.0
138
Normal
0.0
426
Normal
0.0
228
Normal
0.0
366
Normal
0.0
627
Tumor
0.0
937
Tumor
0.0
186
Normal
0.0
448
Normal
0.0
617
Tumor
0.0
354
Normal
0.0
364
Normal
-0.1
851
Tumor
-0.1
953
Tumor
-0.1
976
Normal
-0.1
483
Tumor
-0.1
214
Normal
-0.1
114
Normal
-0.1
222
Normal
-0.1
362
Normal
-0.1
967
Tumor
-0.1
915
Tumor
-0.1
185
Tumor
-0.1
126
Normal
-0.1
431
Tumor
-0.1
636
Normal
-0.1
396
Normal
-0.1
716
Normal
-0.1
218
Normal
-0.1
922
Normal
-0.1
537
Tumor
-0.1
394
Normal
-0.1
738
Normal
-0.1
358
Normal
-0.1
146
Normal
-0.1
864
Normal
-0.1
957
Tumor
-0.1
444
Normal
-0.1
424
Normal
-0.1
433
Tumor
-0.1
952
Normal
-0.1
432
Normal
-0.1
258
Normal
-0.1
494
Normal
-0.1
518
Normal
-0.1
924
Normal
-0.1
428
Normal
-0.1
446
Normal
-0.1
982
Normal
-0.1
312
Normal
-0.1
728
Normal
-0.1
272
Normal
-0.1
331
Tumor
-0.1
261
Tumor
-0.1
525
Tumor
-0.1
642
Normal
-0.1
564
Normal
-0.2
1027
Tumor
-0.2
232
Normal
-0.2
465
Tumor
-0.2
534
Normal
-0.2
148
Normal
-0.2
568
Normal
-0.2
352
Normal
-0.2
162
Normal
-0.2
414
Normal
-0.2
497
Tumor
-0.2
466
Normal
-0.2
956
Normal
-0.2
464
Normal
-0.2
484
Normal
-0.2
866
Normal
-0.2
468
Normal
-0.2
925
Tumor
-0.2
1031
Tumor
-0.2
172
Normal
-0.2
462
Normal
-0.2
964
Normal
-0.2
412
Normal
-0.2
344
Normal
-0.2
434
Normal
-0.2
648
Normal
-0.2
136
Normal
-0.2
727
Tumor
-0.2
918
Normal
-0.2
285
Tumor
-0.2
723
Tumor
-0.2
563
Tumor
-0.2
472
Normal
-0.2
955
Tumor
-0.2
492
Normal
-0.2
977
Tumor
-0.2
356
Normal
-0.2
416
Normal
-0.2
212
Normal
-0.2
278
Normal
-0.2
572
Normal
-0.2
874
Normal
-0.2
1028
Normal
-0.2
662
Normal
-0.2
286
Normal
-0.2
516
Normal
-0.2
816
Normal
-0.2
628
Normal
-0.2
284
Normal
-0.3
1044
Normal
-0.3
1016
Normal
-0.3
171
Tumor
-0.3
536
Normal
-0.3
188
Normal
-0.3
616
Normal
-0.3
127
Tumor
-0.3
361
Tumor
-0.3
488
Normal
-0.3
328
Normal
-0.3
456
Normal
-0.3
778
Normal
-0.3
664
Normal
-0.3
262
Normal
-0.3
558
Normal
-0.3
818
Normal
-0.3
965
Tumor
-0.3
696
Normal
-0.3
332
Normal
-0.3
327
Tumor
-0.3
268
Normal
-0.3
482
Normal
-0.3
447
Tumor
-0.3
911
Tumor
-0.3
514
Normal
-0.3
857
Tumor
-0.3
861
Tumor
-0.3
868
Normal
-0.3
882
Normal
-0.3
528
Normal
-0.3
1021
Tumor
-0.3
722
Normal
-0.3
415
Tumor
-0.3
968
Normal
-0.3
191
Tumor
-0.3
916
Normal
-0.3
1022
Normal
-0.3
981
Tumor
-0.3
786
Normal
-0.4
1026
Normal
-0.4
714
Normal
-0.4
1014
Normal
-0.4
481
Tumor
-0.4
966
Normal
-0.4
478
Normal
-0.4
526
Normal
-0.4
984
Normal
-0.4
672
Normal
-0.4
443
Tumor
-0.4
954
Normal
-0.4
498
Normal
-0.4
195
Tumor
-0.4
557
Tumor
-0.4
213
Tumor
-0.4
524
Normal
-0.4
944
Normal
-0.4
493
Tumor
-0.4
686
Normal
-0.4
311
Tumor
-0.4
1015
Tumor
-0.4
698
Normal
-0.4
756
Normal
-0.5
926
Normal
-0.5
491
Tumor
-0.5
721
Tumor
-0.5
1046
Normal
-0.5
1032
Normal
-0.5
473
Tumor
-0.5
395
Tumor
-0.5
413
Tumor
-0.5
824
Normal
-0.5
852
Normal
-0.5
357
Tumor
-0.5
873
Tumor
-0.5
467
Tumor
-0.6
858
Normal
-0.6
123
Tumor
-0.6
884
Normal
-0.6
513
Tumor
-0.6
1042
Normal
-0.6
917
Tumor
-0.6
451
Tumor
-0.6
867
Tumor
-0.6
665
Tumor
-0.7
666
Normal
-0.7
978
Normal
-0.7
427
Tumor
-0.7
943
Tumor
-0.7
661
Tumor
-0.7
685
Tumor
-0.7
231
Tumor
-0.8
814
Normal
-0.8
351
Tumor
-0.8
724
Normal
-0.9
912
Normal
-0.9
1013
Tumor
-1.0
211
Tumor
-1.1
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.