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.
APOC2 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.
0.013
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.
52%
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.
39%
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
5671.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
20833.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
17362.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
16505.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
16065.3
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
15912.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
15830.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
15652.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
15246.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
14932.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
14709.1
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
14462.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
14170.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
13820.1
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
13752.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
13720.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
13600.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
13237.7
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
12187.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
12031.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
12011.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
11967.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
11842.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
11595.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
11581.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
11511.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
11296.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
11033.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
10984.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
10907.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
10831.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
10769.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
10723.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
10686.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
10566.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
10477.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
10351.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
10323.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
10236.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
10184.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
10151.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
10031.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
9870.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
9829.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
9747.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
9706.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
9684.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
9672.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
9656.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
9580.3
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
9380.1
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
9194.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
9101.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
9094.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
9086.7
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
8974.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
8857.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
8812.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
8749.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
8715.8
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
8557.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
8541.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
8423.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
8293.7
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
8258.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
8257.4
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
8245.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
8143.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
8137.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
8126.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
8006.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
7864.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
7864.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
7834.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
7826.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
7777.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
7714.2
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
7686.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7673.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
7669.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
7660.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
7614.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
7578.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
7360.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
7317.9
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
7303.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
7287.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
7223.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
7202.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
7155.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
7144.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
7123.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
7120.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
7090.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
7084.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
7034.3
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
6986.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
6980.5
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
6956.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6947.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
6936.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
6906.0
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
6891.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
6870.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
6845.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
6815.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
6787.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
6762.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
6707.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
6681.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
6644.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
6617.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
6551.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
6548.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
6524.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
6466.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
6451.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
6434.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
6418.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
6415.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
6399.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
6371.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
6320.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
6281.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
6260.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
6232.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
6214.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
6153.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6134.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
6128.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
6126.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
6111.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
6093.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6061.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
6048.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
6048.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
6034.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
5996.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
5980.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
5947.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
5927.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
5909.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
5903.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
5839.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
5826.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5816.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
5814.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
5800.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5790.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
5774.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
5759.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
5758.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
5731.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
5656.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
5649.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
5648.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
5626.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
5625.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
5581.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
5575.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5573.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
5558.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
5546.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
5534.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
5525.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
5514.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
5496.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
5443.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
5414.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
5374.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
5352.5
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
5347.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
5340.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
5339.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
5258.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
5243.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
5234.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
5224.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
5210.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
5204.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
5204.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5198.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
5174.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
5132.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
5126.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
5117.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5116.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
5098.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5096.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
5029.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
4998.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
4998.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4977.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
4970.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4970.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
4942.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
4926.6
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4918.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
4915.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4896.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
4855.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4842.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4832.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
4819.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
4814.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
4814.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
4782.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
4759.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
4744.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4737.5
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
4735.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
4717.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
4716.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4700.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
4624.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
4605.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
4598.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
4587.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
4575.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
4544.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
4520.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
4497.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
4483.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
4447.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4427.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
4418.6
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4350.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
4335.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4327.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
4295.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4235.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
4210.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
4209.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4205.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
4153.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4152.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
4144.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4136.6
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
4105.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4098.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4095.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
4086.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
4083.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
4056.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4050.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
4013.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
4013.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3988.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
3897.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3852.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3845.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
3818.1
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
3811.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3767.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3755.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3725.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3713.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3686.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3672.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3662.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
3618.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3613.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3604.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
3541.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
3526.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3518.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3507.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3489.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3482.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3441.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3436.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
3407.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3376.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3372.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3371.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3359.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3359.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3340.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
3289.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3278.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
3256.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3249.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3245.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3244.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3229.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3217.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3196.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3143.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3135.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3090.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
3039.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3038.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
3023.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2999.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2988.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2986.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2986.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2978.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2959.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
2927.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
2919.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2919.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2914.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2899.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2872.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2869.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2836.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2824.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2608.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2577.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2501.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2500.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2398.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2384.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2356.2
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
2309.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2295.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2279.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2211.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2210.3
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2129.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2107.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2101.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2101.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2071.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1878.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1878.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1839.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1828.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1744.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1611.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1394.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1390.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1343.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1244.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1243.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1179.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
995.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
956.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
900.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
540.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
534.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
476.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
425.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
411.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
403.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
330.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
193.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
178.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
146.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
130.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
73.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
68.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
67.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
56.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
36.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
26.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
22.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
19.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
17.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
14.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
12.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APOC2 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.
0.0023
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.
71%
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.
39%
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
4055.3
Number of samples
231
Samples
Sample
Description
TPM
DO48741
64 years, male, NA, stage:3, alive, 240 days
13956.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
13888.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
13239.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
13218.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
11561.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
11440.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
10461.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
10314.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
9405.9
DO50783
62 years, male, NA, stage:3, alive, 480 days
9256.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
9241.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
8835.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
8817.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
8080.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
7879.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
7865.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
7845.3
DO48717
54 years, male, NA, stage:4, dead, 180 days
7765.0
DO48693
71 years, male, NA, stage:2, alive, 900 days
7730.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
7607.3
DO50850
74 years, male, NA, stage:3, alive, 720 days
7589.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
7486.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
7256.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
7243.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
7046.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
7030.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
6977.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
6864.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
6855.1
DO50776
75 years, male, NA, stage:1, alive, 690 days
6818.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
6672.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
6585.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
6504.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
6480.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
6413.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
6371.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
6331.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
6299.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
6261.1
DO50806
70 years, male, NA, stage:4, alive, 540 days
6255.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
6208.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
6201.6
DO45092
62 years, male, NA, stage:4, dead, 1200 days
6141.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
6127.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
6047.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
5807.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
5752.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
5685.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
5630.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
5570.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
5568.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
5564.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
5546.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
5509.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
5447.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
5412.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
5405.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
5393.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
5290.2
DO23511
83 years, female, NA, stage:3, dead, 180 days
5245.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
5225.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
5182.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
5154.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
5151.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
5142.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
5125.5
DO48736
76 years, female, NA, stage:1, alive, 600 days
5122.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
5097.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
5037.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
5025.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
5023.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
4950.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4939.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
4929.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4897.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
4835.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
4831.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
4771.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
4739.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
4691.8
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4679.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
4649.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
4646.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
4590.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
4569.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
4516.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
4515.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
4488.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
4459.3
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4420.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
4407.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
4398.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
4288.4
DO45111
74 years, male, NA, stage:2, alive, 1590 days
4284.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
4279.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
4269.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
4267.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
4255.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
4211.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
4200.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
4141.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
4133.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
4112.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
4096.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
4071.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
4064.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
4047.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
4041.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
4039.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
4031.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
4009.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
3990.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
3956.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
3938.7
DO50804
81 years, male, NA, stage:2, alive, 720 days
3933.8
DO48715
58 years, female, NA, stage:2, dead, 690 days
3927.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3848.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3798.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
3761.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3757.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
3738.1
DO50787
63 years, male, NA, stage:3, alive, 480 days
3731.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
3727.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
3722.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
3721.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
3696.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
3693.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3668.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3659.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
3640.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3621.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3599.7
DO50832
73 years, male, NA, stage:3, alive, 90 days
3555.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
3539.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
3532.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
3510.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3475.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
3463.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
3392.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3373.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
3359.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
3354.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
3247.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3082.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
3065.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
3028.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
3025.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
3019.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2995.8
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2994.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
2902.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2891.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2873.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
2852.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
2839.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2764.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2740.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
2699.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
2687.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
2590.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
2583.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2572.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2558.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
2544.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
2522.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2520.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
2500.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
2491.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
2486.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
2424.3
DO45269
59 years, male, NA, stage:3, alive, 750 days
2423.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2419.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
2381.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
2336.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
2308.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
2263.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
2246.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
2224.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2156.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2105.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2044.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
2041.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
1988.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
1978.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
1920.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1885.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1707.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
1687.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
1681.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
1651.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
1617.3
DO48757
68 years, female, NA, stage:3, alive, 480 days
1485.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
1481.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1466.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
1354.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
1353.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1342.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1309.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1137.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1121.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
1093.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
976.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
868.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
821.7
DO45267
73 years, male, NA, stage:3, dead, 570 days
806.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
679.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
668.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
659.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
635.6
DO45189
85 years, female, NA, stage:2, alive, 1200 days
425.7
DO45127
73 years, male, NA, stage:3, dead, 420 days
407.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
359.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
297.6
DO45249
57 years, male, NA, stage:1, alive, 630 days
280.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
268.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
223.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
171.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
90.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
63.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
55.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
53.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
48.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
30.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
23.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
19.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
18.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
15.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
13.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
12.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
5.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
4.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
471
Tumor
N/A
351
Tumor
N/A
472
Normal
N/A
231
Tumor
N/A
352
Normal
N/A
473
Tumor
N/A
111
Normal
N/A
232
Normal
N/A
353
Tumor
N/A
474
Normal
N/A
112
Tumor
N/A
354
Normal
N/A
113
Tumor
N/A
355
Tumor
N/A
114
Normal
N/A
356
Normal
N/A
477
Tumor
N/A
357
Tumor
N/A
478
Normal
N/A
358
Normal
N/A
911
Tumor
N/A
912
Normal
N/A
913
Tumor
N/A
914
Normal
N/A
915
Tumor
N/A
916
Normal
N/A
917
Tumor
N/A
918
Normal
N/A
481
Tumor
N/A
361
Tumor
N/A
482
Normal
N/A
362
Normal
N/A
483
Tumor
N/A
363
Tumor
N/A
484
Normal
N/A
364
Normal
N/A
123
Tumor
N/A
365
Tumor
N/A
124
Normal
N/A
366
Normal
N/A
487
Tumor
N/A
125
Tumor
N/A
367
Tumor
N/A
488
Normal
N/A
126
Normal
N/A
368
Normal
N/A
127
Tumor
N/A
128
Normal
N/A
921
Tumor
N/A
922
Normal
N/A
923
Tumor
N/A
924
Normal
N/A
925
Tumor
N/A
926
Normal
N/A
491
Tumor
N/A
492
Normal
N/A
493
Tumor
N/A
131
Tumor
N/A
494
Normal
N/A
132
Normal
N/A
375
Tumor
N/A
376
Normal
N/A
497
Tumor
N/A
135
Tumor
N/A
498
Normal
N/A
136
Normal
N/A
257
Tumor
N/A
137
Tumor
N/A
258
Normal
N/A
138
Normal
N/A
813
Tumor
N/A
814
Normal
N/A
815
Tumor
N/A
816
Normal
N/A
937
Tumor
N/A
817
Tumor
N/A
938
Normal
N/A
818
Normal
N/A
261
Tumor
N/A
141
Tumor
N/A
262
Normal
N/A
383
Tumor
N/A
142
Normal
N/A
384
Normal
N/A
385
Tumor
N/A
386
Normal
N/A
145
Tumor
N/A
387
Tumor
N/A
146
Normal
N/A
267
Tumor
N/A
388
Normal
N/A
147
Tumor
N/A
268
Normal
N/A
148
Normal
N/A
943
Tumor
N/A
823
Tumor
N/A
944
Normal
N/A
824
Normal
N/A
1022
Normal
N/A
1021
Tumor
N/A
391
Tumor
N/A
271
Tumor
N/A
392
Normal
N/A
272
Normal
N/A
393
Tumor
N/A
394
Normal
N/A
395
Tumor
N/A
396
Normal
N/A
277
Tumor
N/A
1016
Normal
N/A
278
Normal
N/A
1015
Tumor
N/A
1014
Normal
N/A
951
Tumor
N/A
1013
Tumor
N/A
952
Normal
N/A
953
Tumor
N/A
954
Normal
N/A
713
Tumor
N/A
955
Tumor
N/A
714
Normal
N/A
956
Normal
N/A
715
Tumor
N/A
957
Tumor
N/A
716
Normal
N/A
958
Normal
N/A
1032
Normal
N/A
1031
Tumor
N/A
161
Tumor
N/A
162
Normal
N/A
283
Tumor
N/A
284
Normal
N/A
285
Tumor
N/A
286
Normal
N/A
1028
Normal
N/A
1027
Tumor
N/A
1026
Normal
N/A
1025
Tumor
N/A
721
Tumor
N/A
963
Tumor
N/A
722
Normal
N/A
964
Normal
N/A
723
Tumor
N/A
965
Tumor
N/A
724
Normal
N/A
966
Normal
N/A
967
Tumor
N/A
968
Normal
N/A
727
Tumor
N/A
728
Normal
N/A
1044
Normal
N/A
1043
Tumor
N/A
1042
Normal
N/A
1041
Tumor
N/A
171
Tumor
N/A
172
Normal
N/A
297
Tumor
N/A
298
Normal
N/A
851
Tumor
N/A
852
Normal
N/A
975
Tumor
N/A
976
Normal
N/A
977
Tumor
N/A
615
Tumor
N/A
857
Tumor
N/A
978
Normal
N/A
616
Normal
N/A
737
Tumor
N/A
858
Normal
N/A
617
Tumor
N/A
738
Normal
N/A
618
Normal
N/A
185
Tumor
N/A
186
Normal
N/A
187
Tumor
N/A
188
Normal
N/A
981
Tumor
N/A
861
Tumor
N/A
982
Normal
N/A
741
Tumor
N/A
862
Normal
N/A
983
Tumor
N/A
742
Normal
N/A
863
Tumor
N/A
984
Normal
N/A
1046
Normal
N/A
743
Tumor
N/A
864
Normal
N/A
1045
Tumor
N/A
744
Normal
N/A
865
Tumor
N/A
745
Tumor
N/A
866
Normal
N/A
746
Normal
N/A
867
Tumor
N/A
868
Normal
N/A
627
Tumor
N/A
628
Normal
N/A
191
Tumor
N/A
192
Normal
N/A
195
Tumor
N/A
196
Normal
N/A
873
Tumor
N/A
874
Normal
N/A
513
Tumor
N/A
755
Tumor
N/A
514
Normal
N/A
635
Tumor
N/A
756
Normal
N/A
877
Tumor
N/A
515
Tumor
N/A
636
Normal
N/A
878
Normal
N/A
516
Normal
N/A
517
Tumor
N/A
518
Normal
N/A
881
Tumor
N/A
882
Normal
N/A
641
Tumor
N/A
883
Tumor
N/A
642
Normal
N/A
884
Normal
N/A
523
Tumor
N/A
524
Normal
N/A
525
Tumor
N/A
526
Normal
N/A
647
Tumor
N/A
527
Tumor
N/A
648
Normal
N/A
528
Normal
N/A
411
Tumor
N/A
412
Normal
N/A
533
Tumor
N/A
413
Tumor
N/A
534
Normal
N/A
414
Normal
N/A
535
Tumor
N/A
777
Tumor
N/A
415
Tumor
N/A
536
Normal
N/A
778
Normal
N/A
416
Normal
N/A
537
Tumor
N/A
538
Normal
N/A
661
Tumor
N/A
662
Normal
N/A
421
Tumor
N/A
663
Tumor
N/A
422
Normal
N/A
664
Normal
N/A
785
Tumor
N/A
423
Tumor
N/A
665
Tumor
N/A
786
Normal
N/A
424
Normal
N/A
545
Tumor
N/A
666
Normal
N/A
425
Tumor
N/A
546
Normal
N/A
426
Normal
N/A
427
Tumor
N/A
428
Normal
N/A
671
Tumor
N/A
672
Normal
N/A
431
Tumor
N/A
311
Tumor
N/A
432
Normal
N/A
553
Tumor
N/A
312
Normal
N/A
433
Tumor
N/A
554
Normal
N/A
313
Tumor
N/A
434
Normal
N/A
314
Normal
N/A
435
Tumor
N/A
436
Normal
N/A
557
Tumor
N/A
558
Normal
N/A
563
Tumor
N/A
443
Tumor
N/A
564
Normal
N/A
685
Tumor
N/A
444
Normal
N/A
686
Normal
N/A
445
Tumor
N/A
446
Normal
N/A
567
Tumor
N/A
447
Tumor
N/A
568
Normal
N/A
327
Tumor
N/A
448
Normal
N/A
328
Normal
N/A
571
Tumor
N/A
451
Tumor
N/A
572
Normal
N/A
331
Tumor
N/A
452
Normal
N/A
573
Tumor
N/A
211
Tumor
N/A
332
Normal
N/A
574
Normal
N/A
695
Tumor
N/A
212
Normal
N/A
696
Normal
N/A
213
Tumor
N/A
455
Tumor
N/A
697
Tumor
N/A
214
Normal
N/A
456
Normal
N/A
698
Normal
N/A
217
Tumor
N/A
218
Normal
N/A
461
Tumor
N/A
341
Tumor
N/A
462
Normal
N/A
221
Tumor
N/A
342
Normal
N/A
463
Tumor
N/A
222
Normal
N/A
343
Tumor
N/A
464
Normal
N/A
223
Tumor
N/A
344
Normal
N/A
465
Tumor
N/A
224
Normal
N/A
466
Normal
N/A
467
Tumor
N/A
468
Normal
N/A
227
Tumor
N/A
228
Normal
N/A
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.