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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APOC3 is validated prognostic, high expression is favorable 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
11879.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
54090.2
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
51401.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
47942.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
46472.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
39716.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
39131.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
38047.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
37673.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
36761.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
35509.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
34918.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
34652.6
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
34443.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
34299.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
32555.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
32199.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
31895.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
31040.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
30278.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
29966.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
29813.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
29263.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
28421.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
28146.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
27984.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
27378.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
27303.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
27291.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
27177.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
27118.7
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
26809.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
26701.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
26460.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
26356.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
25727.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
25665.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
25249.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
25131.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
24539.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
24383.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
24366.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
24321.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
23822.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
22878.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
22625.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
22371.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
22214.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
22069.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
21868.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
21783.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
21646.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
21487.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
21448.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
21107.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
20743.2
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
20697.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
20576.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
20380.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
20333.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
20313.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
20272.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
20243.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
19953.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
19922.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
19520.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
18843.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
18584.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
18559.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
18294.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
18208.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
18069.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
17893.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
17819.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
17757.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
17653.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
17620.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
17601.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
17532.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
17512.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
17275.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
17180.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
17114.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
17087.7
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
17059.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
16985.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
16805.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
16783.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
16746.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
16475.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
16208.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
16141.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
16123.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
15939.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
15750.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
15689.6
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
15614.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
15552.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
15499.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
15490.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
15483.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
15380.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
15332.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
15208.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
15144.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
14928.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
14895.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
14803.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
14558.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
14521.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
14514.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
14450.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
14398.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
14383.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
14334.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
14277.4
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
14258.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
14214.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
13957.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
13927.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
13843.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
13797.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
13703.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
13413.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
13243.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
13181.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
13004.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
12988.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
12970.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
12953.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
12898.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
12872.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
12844.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
12843.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
12801.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
12734.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
12680.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
12626.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
12608.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
12585.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
12555.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
12529.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
12379.5
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
12377.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
12281.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
12264.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
12237.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
12221.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
12153.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
12149.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
12069.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
12067.2
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
12065.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
11932.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
11932.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
11855.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
11825.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
11777.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
11744.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
11683.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
11530.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
11406.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
11363.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
11336.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
11277.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
11265.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
11222.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
10969.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
10840.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
10790.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
10758.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
10688.0
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
10536.2
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
10523.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
10395.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
10340.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
10118.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
10116.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
10089.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
10086.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
10054.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
10040.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
10028.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
10002.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
9915.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
9912.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
9855.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
9841.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
9670.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
9616.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
9529.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
9503.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
9372.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
9315.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
9280.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
9241.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
9238.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
9193.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
9171.0
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
9011.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
8951.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
8920.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
8888.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
8871.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
8859.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
8766.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
8734.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
8680.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
8603.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
8598.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
8549.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
8450.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
8435.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
8373.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
8340.1
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
8250.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
8195.6
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
8098.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
7726.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
7562.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
7551.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
7459.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
7321.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
7241.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
7206.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
7015.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
6976.9
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
6976.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
6808.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
6801.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
6794.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
6699.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6694.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
6656.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
6651.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
6610.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6590.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
6560.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
6558.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
6533.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
6440.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
6280.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
6247.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
6244.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
6231.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
6197.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
6182.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
6168.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
6106.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
5951.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5940.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
5921.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
5879.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
5829.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
5676.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5571.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
5543.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
5473.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
5313.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
5281.2
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
5270.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
5232.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
5227.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
5218.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
5210.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
5199.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
5169.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
5013.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
5000.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
4920.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
4873.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4872.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
4859.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4816.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4815.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
4705.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
4683.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4676.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
4591.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4486.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
4437.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4395.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4389.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
4385.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
4379.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
4260.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
4255.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4251.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
4178.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4161.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
4138.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4131.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4048.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
4021.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3900.1
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3859.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3723.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3593.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3356.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
3337.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
3327.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
3209.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3081.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2992.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2960.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2852.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2796.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2732.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2694.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2574.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2526.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2524.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2406.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2371.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2307.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2233.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2192.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2171.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1981.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1867.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1861.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1843.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1841.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1823.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1796.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1627.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1546.1
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1477.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1464.2
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1423.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1369.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1306.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1195.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1191.5
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1153.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1142.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1020.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
989.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
974.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
699.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
679.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
588.8
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
576.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
576.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
517.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
500.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
480.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
463.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
326.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
148.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
45.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
37.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
23.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
20.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
20.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
19.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
19.1
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
15.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
8.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
7.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
7.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
5.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 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.
APOC3 is validated prognostic, high expression is favorable 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
11417.0
Number of samples
231
Samples
Sample
Description
pTPM
DO23532
71 years, female, NA, stage:1, alive, 960 days
89403.1
DO45125
58 years, male, NA, stage:3, alive, 1680 days
65277.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
63555.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
50485.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
47228.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
46482.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
38428.9
DO48701
78 years, male, NA, stage:2, alive, 780 days
38022.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
37828.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
37643.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
34111.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
32572.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
31981.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
31603.1
DO50813
56 years, male, NA, stage:2, alive, 420 days
31206.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
30785.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
29740.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
29027.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
26153.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
25780.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
25443.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
24302.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
24238.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
24033.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
23863.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
22923.0
DO45099
46 years, male, NA, stage:3, alive, 1590 days
21235.8
DO23511
83 years, female, NA, stage:3, dead, 180 days
20962.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
20887.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
20750.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
20335.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
19821.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
19635.6
DO48760
70 years, female, NA, stage:2, alive, 690 days
19203.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
19196.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
18940.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
18874.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
18780.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
18691.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
18038.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
17848.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
17803.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
17467.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
17453.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
17396.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
17385.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
17383.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
17361.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
17208.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
16964.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
16480.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
16423.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
16385.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
16289.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
15825.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
15747.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
15736.1
DO23518
67 years, male, NA, stage:2, alive, 1320 days
15392.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
15376.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
15210.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
14934.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
14545.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
14519.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
14428.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
14359.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
14216.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
13938.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
13894.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
13786.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
13768.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
13581.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
13436.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
13152.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
13127.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
13070.7
DO23508
79 years, female, NA, stage:2, alive, 390 days
12923.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
12756.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
12548.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
12472.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
12350.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
12203.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
12156.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
12034.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
11980.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
11974.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
11908.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
11693.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
11647.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
11066.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
11058.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
10855.4
DO23541
65 years, male, NA, stage:2, alive, 930 days
10840.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
10723.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
10535.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
10469.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
10408.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
10385.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
10375.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
10315.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
10204.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
10150.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
10097.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
9985.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
9893.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
9826.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
9653.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
9631.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
9616.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
9477.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
9450.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
9378.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
9345.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
9342.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
9305.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
9204.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
8863.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
8743.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
8580.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
8415.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
8378.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
8190.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
8182.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
8169.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
8162.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
8094.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
8068.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
8029.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
7874.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
7872.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
7845.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
7666.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
7578.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
7480.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
7420.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
7129.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
6974.0
DO48682
72 years, female, NA, stage:3, dead, 120 days
6896.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
6779.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
6573.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
6570.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
6462.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
6193.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
5948.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
5932.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
5834.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
5789.0
DO23533
61 years, male, NA, stage:2, alive, 900 days
5547.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
5414.0
DO45119
74 years, male, NA, stage:3, dead, 510 days
5389.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
5274.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
5051.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4930.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
4775.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4693.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
4635.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
4608.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
4593.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
4566.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
4513.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
4372.6
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4260.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
4232.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
4192.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
4142.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
4139.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
4121.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
4100.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
4061.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
3985.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
3963.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3923.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
3904.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
3898.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
3675.0
DO45273
62 years, male, NA, stage:2, alive, 480 days
3596.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
3493.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
3397.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
3308.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
3194.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
3108.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
3005.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2984.1
DO48720
62 years, female, NA, stage:2, alive, 570 days
2770.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
2550.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2534.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
2441.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
2431.9
DO23542
66 years, male, NA, stage:3, alive, 960 days
2416.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
2321.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
2220.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
2186.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
2105.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
1890.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
1850.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1836.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
1496.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
1428.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
1346.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
1308.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
1262.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1196.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1196.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
1000.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
915.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
857.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
839.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
813.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
601.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
475.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
459.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
304.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
143.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
142.2
DO45205
67 years, female, NA, stage:2, dead, 90 days
128.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
84.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
83.5
DO45269
59 years, male, NA, stage:3, alive, 750 days
45.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
45.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
42.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
41.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
41.2
DO45277
64 years, male, NA, stage:3, alive, 600 days
34.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
20.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
12.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
12.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
12.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
10.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
8.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
4.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
3.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
2.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
777
Tumor
1.9
863
Tumor
1.8
615
Tumor
1.4
647
Tumor
1.3
741
Tumor
1.3
435
Tumor
1.3
365
Tumor
1.2
423
Tumor
1.1
128
Normal
1.0
411
Tumor
1.0
465
Tumor
0.9
755
Tumor
0.9
393
Tumor
0.8
1027
Tumor
0.8
171
Tumor
0.7
147
Tumor
0.7
445
Tumor
0.7
616
Normal
0.7
327
Tumor
0.7
422
Normal
0.7
127
Tumor
0.7
461
Tumor
0.6
227
Tumor
0.6
564
Normal
0.6
627
Tumor
0.6
342
Normal
0.6
563
Tumor
0.6
341
Tumor
0.6
353
Tumor
0.6
742
Normal
0.6
222
Normal
0.6
141
Tumor
0.5
462
Normal
0.5
618
Normal
0.5
628
Normal
0.5
428
Normal
0.5
723
Tumor
0.5
356
Normal
0.5
314
Normal
0.5
882
Normal
0.5
361
Tumor
0.5
466
Normal
0.5
728
Normal
0.5
172
Normal
0.5
426
Normal
0.4
357
Tumor
0.4
738
Normal
0.4
436
Normal
0.4
464
Normal
0.4
277
Tumor
0.4
482
Normal
0.4
432
Normal
0.4
257
Tumor
0.4
354
Normal
0.4
358
Normal
0.4
572
Normal
0.4
515
Tumor
0.4
452
Normal
0.4
866
Normal
0.3
196
Normal
0.3
162
Normal
0.3
214
Normal
0.3
714
Normal
0.3
424
Normal
0.3
635
Tumor
0.3
878
Normal
0.3
161
Tumor
0.3
388
Normal
0.3
636
Normal
0.3
746
Normal
0.3
722
Normal
0.3
868
Normal
0.3
648
Normal
0.2
186
Normal
0.2
786
Normal
0.2
568
Normal
0.2
745
Tumor
0.2
913
Tumor
0.2
137
Tumor
0.2
185
Tumor
0.2
138
Normal
0.2
394
Normal
0.2
818
Normal
0.2
298
Normal
0.2
862
Normal
0.2
884
Normal
0.2
145
Tumor
0.2
744
Normal
0.2
352
Normal
0.2
136
Normal
0.2
672
Normal
0.2
874
Normal
0.2
431
Tumor
0.2
664
Normal
0.1
187
Tumor
0.1
468
Normal
0.1
864
Normal
0.1
571
Tumor
0.1
641
Tumor
0.1
914
Normal
0.1
111
Normal
0.1
278
Normal
0.1
414
Normal
0.1
921
Tumor
0.1
332
Normal
0.1
481
Tumor
0.1
416
Normal
0.1
376
Normal
0.1
114
Normal
0.1
816
Normal
0.1
1045
Tumor
0.1
982
Normal
0.1
231
Tumor
0.1
824
Normal
0.1
873
Tumor
0.1
1016
Normal
0.1
662
Normal
0.1
224
Normal
0.1
258
Normal
0.0
132
Normal
0.0
1022
Normal
0.0
392
Normal
0.0
642
Normal
0.0
146
Normal
0.0
513
Tumor
0.0
727
Tumor
0.0
148
Normal
0.0
867
Tumor
0.0
267
Tumor
0.0
188
Normal
0.0
362
Normal
0.0
126
Normal
0.0
558
Normal
0.0
232
Normal
0.0
666
Normal
0.0
698
Normal
0.0
663
Tumor
0.0
911
Tumor
0.0
142
Normal
0.0
487
Tumor
0.0
713
Tumor
0.0
851
Tumor
0.0
574
Normal
0.0
218
Normal
0.0
858
Normal
0.0
195
Tumor
0.0
366
Normal
-0.1
912
Normal
-0.1
328
Normal
-0.1
446
Normal
-0.1
312
Normal
-0.1
412
Normal
-0.1
123
Tumor
-0.1
272
Normal
-0.1
877
Tumor
-0.1
228
Normal
-0.1
271
Tumor
-0.1
721
Tumor
-0.1
368
Normal
-0.1
456
Normal
-0.1
756
Normal
-0.1
716
Normal
-0.1
494
Normal
-0.2
386
Normal
-0.2
286
Normal
-0.2
785
Tumor
-0.2
191
Tumor
-0.2
915
Tumor
-0.2
192
Normal
-0.2
124
Normal
-0.2
344
Normal
-0.2
1046
Normal
-0.2
448
Normal
-0.2
1032
Normal
-0.2
981
Tumor
-0.2
865
Tumor
-0.2
433
Tumor
-0.2
434
Normal
-0.2
474
Normal
-0.2
617
Tumor
-0.2
313
Tumor
-0.2
488
Normal
-0.2
1043
Tumor
-0.2
396
Normal
-0.2
472
Normal
-0.2
297
Tumor
-0.3
268
Normal
-0.3
384
Normal
-0.3
363
Tumor
-0.3
262
Normal
-0.3
1044
Normal
-0.3
778
Normal
-0.3
484
Normal
-0.3
221
Tumor
-0.3
1015
Tumor
-0.3
444
Normal
-0.3
984
Normal
-0.3
737
Tumor
-0.3
451
Tumor
-0.3
977
Tumor
-0.3
421
Tumor
-0.3
881
Tumor
-0.3
284
Normal
-0.3
528
Normal
-0.4
415
Tumor
-0.4
261
Tumor
-0.4
861
Tumor
-0.4
1026
Normal
-0.4
217
Tumor
-0.4
483
Tumor
-0.4
391
Tumor
-0.4
364
Normal
-0.4
883
Tumor
-0.4
1042
Normal
-0.4
427
Tumor
-0.4
686
Normal
-0.4
852
Normal
-0.4
956
Normal
-0.5
955
Tumor
-0.5
1025
Tumor
-0.5
112
Tumor
-0.5
557
Tumor
-0.5
1028
Normal
-0.5
534
Normal
-0.6
387
Tumor
-0.6
1014
Normal
-0.6
113
Tumor
-0.6
665
Tumor
-0.6
857
Tumor
-0.6
938
Normal
-0.6
498
Normal
-0.6
477
Tumor
-0.6
724
Normal
-0.6
455
Tumor
-0.6
1013
Tumor
-0.6
968
Normal
-0.6
695
Tumor
-0.7
976
Normal
-0.7
922
Normal
-0.7
978
Normal
-0.7
696
Normal
-0.7
514
Normal
-0.7
213
Tumor
-0.7
492
Normal
-0.7
523
Tumor
-0.7
1021
Tumor
-0.7
471
Tumor
-0.8
518
Normal
-0.8
1041
Tumor
-0.8
954
Normal
-0.8
425
Tumor
-0.8
952
Normal
-0.8
478
Normal
-0.8
964
Normal
-0.8
924
Normal
-0.8
526
Normal
-0.8
817
Tumor
-0.8
546
Normal
-0.9
516
Normal
-0.9
918
Normal
-0.9
1031
Tumor
-0.9
375
Tumor
-0.9
926
Normal
-1.0
351
Tumor
-1.0
395
Tumor
-1.0
958
Normal
-1.0
413
Tumor
-1.0
212
Normal
-1.0
533
Tumor
-1.0
573
Tumor
-1.0
447
Tumor
-1.0
813
Tumor
-1.0
343
Tumor
-1.0
443
Tumor
-1.0
223
Tumor
-1.0
463
Tumor
-1.0
814
Normal
-1.0
473
Tumor
-1.0
524
Normal
-1.1
925
Tumor
-1.1
567
Tumor
-1.1
554
Normal
-1.1
966
Normal
-1.1
467
Tumor
-1.1
553
Tumor
-1.1
944
Normal
-1.1
517
Tumor
-1.1
135
Tumor
-1.1
538
Normal
-1.2
493
Tumor
-1.2
916
Normal
-1.2
715
Tumor
-1.2
383
Tumor
-1.2
525
Tumor
-1.2
953
Tumor
-1.2
125
Tumor
-1.3
937
Tumor
-1.3
975
Tumor
-1.3
671
Tumor
-1.3
497
Tumor
-1.3
963
Tumor
-1.3
367
Tumor
-1.3
967
Tumor
-1.3
355
Tumor
-1.4
823
Tumor
-1.4
527
Tumor
-1.4
957
Tumor
-1.5
331
Tumor
-1.5
491
Tumor
-1.5
923
Tumor
-1.6
685
Tumor
-1.6
743
Tumor
-1.6
385
Tumor
-1.6
943
Tumor
-1.6
537
Tumor
-1.7
815
Tumor
-1.8
951
Tumor
-1.8
131
Tumor
-1.9
311
Tumor
-1.9
536
Normal
-1.9
697
Tumor
-2.0
285
Tumor
-2.0
965
Tumor
-2.0
917
Tumor
-2.1
983
Tumor
-2.2
545
Tumor
-2.2
283
Tumor
-2.3
535
Tumor
-2.5
661
Tumor
-2.5
211
Tumor
-2.7
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
