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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.
APOC1 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.
: 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.
1.0e-7
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.
56%
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.
28%
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
11590.2
Number of samples
362
Samples
Sample
Description
TPM
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
55862.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
46684.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
46623.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
36815.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
33659.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
31711.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
31063.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
28953.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
25921.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
25770.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
25726.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
25678.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
24410.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
24267.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
24248.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
23787.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
23731.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
23427.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
23390.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
23370.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
23259.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
23185.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
22894.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
22501.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
22275.6
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
22186.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
21843.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
21168.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
21065.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
20731.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
20707.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
20662.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
20556.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
19991.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
19917.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
19847.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
19606.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
19236.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
19156.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
19150.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
19147.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
19128.2
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
18909.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
18649.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
18513.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
18513.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
18388.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
18278.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
18213.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
18210.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
18193.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
17865.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
17599.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
17477.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
17396.8
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
17367.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
17261.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
17209.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
17045.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
16989.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
16941.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
16827.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
16819.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
16774.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
16684.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
16596.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
16578.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
16522.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
16472.5
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
16286.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
16254.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
16150.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
16022.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
16012.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
15990.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
15969.5
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
15966.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
15859.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
15855.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
15840.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
15833.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
15832.4
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
15829.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
15813.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
15506.8
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
15432.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
15385.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
15371.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
15354.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
15283.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
15272.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
15073.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
15066.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
15035.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
14994.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
14981.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
14947.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
14941.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
14903.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
14857.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
14816.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
14754.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
14705.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
14659.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
14599.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
14564.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
14380.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
14335.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
14287.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
14161.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
14160.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
14154.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
14144.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
14102.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
14088.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
14050.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
14016.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
13992.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
13946.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
13933.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
13800.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
13755.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
13729.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
13602.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
13453.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
13440.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
13304.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
13266.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
13196.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
13103.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
13066.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
13050.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
13038.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
13010.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
13003.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
12890.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
12871.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
12849.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
12814.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
12651.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
12641.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
12534.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
12507.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
12504.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
12496.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
12470.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
12447.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
12431.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
12404.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
12341.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
12320.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
12276.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
12258.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
12249.6
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
12248.1
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
12138.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
12133.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
12128.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
11879.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
11836.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
11780.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
11748.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
11736.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
11734.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
11687.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
11644.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
11638.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
11470.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
11450.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
11419.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
11299.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
11138.8
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
11016.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
10975.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
10877.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
10872.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
10839.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
10780.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
10736.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
10678.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
10642.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
10392.2
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
10330.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
10321.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
10274.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
10259.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
10178.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
10169.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
10012.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
9984.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
9964.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
9946.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
9946.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
9892.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
9882.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
9876.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
9876.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
9805.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
9799.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
9790.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
9773.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
9758.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
9757.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
9653.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
9608.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
9583.6
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
9581.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
9521.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
9516.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
9409.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
9381.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
9379.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
9367.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
9355.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
9350.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
9172.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
9171.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
9139.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
9116.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
9106.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
9043.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
9004.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
8961.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
8939.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
8803.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
8782.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
8771.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
8757.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
8709.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
8664.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
8618.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
8588.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
8553.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
8526.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
8420.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
8330.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
8174.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
8130.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
8102.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
8038.0
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
8026.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
8005.7
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
7911.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
7898.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
7845.3
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
7841.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
7753.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
7724.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
7567.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
7563.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
7556.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
7521.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
7520.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
7516.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
7513.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
7494.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
7465.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
7447.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
7392.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
7379.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
7369.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
7354.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
7306.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
7299.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
7291.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
7146.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
7137.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
7087.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
7049.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
6821.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
6721.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6620.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
6602.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
6594.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
6589.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
6584.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
6581.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
6554.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
6342.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
6313.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
6215.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
6197.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
6187.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
6089.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
6054.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
5961.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
5928.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
5926.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
5893.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
5892.8
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
5836.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
5758.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
5681.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
5675.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
5641.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
5606.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
5600.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
5560.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
5469.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
5404.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
5331.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
5308.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
5301.5
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
5289.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5223.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
5080.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
5080.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
5065.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
5053.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
5038.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
5025.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4915.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4896.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4864.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
4733.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
4718.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4711.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
4662.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4653.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4502.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
4397.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
4234.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
4227.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4207.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4194.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
4108.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3973.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3964.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
3366.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3352.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3221.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2991.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2896.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2775.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2544.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2499.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2302.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2300.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2262.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2251.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2059.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1982.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1840.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1766.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1666.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1539.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1436.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1420.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1225.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1105.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
996.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
988.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
945.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
789.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
666.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
576.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
517.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
369.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
92.3
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
76.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
58.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 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.
APOC1 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.
: 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.
0.000025
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
0%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
45%
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
9364.2
Number of samples
231
Samples
Sample
Description
TPM
DO50814
83 years, male, NA, stage:3, alive, 420 days
43845.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
36107.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
28320.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
26133.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
25831.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
24724.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
23961.5
DO45169
74 years, male, NA, stage:3, alive, 1350 days
23793.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
23555.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
21702.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
21389.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
21349.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
20853.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
20765.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
20717.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
20389.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
19727.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
19614.4
DO50808
68 years, male, NA, stage:2, alive, 570 days
19598.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
17836.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
17209.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
17107.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
16509.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
16198.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
16010.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
15972.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
15505.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
15503.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
15097.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
15019.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
14991.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
14951.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
14631.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
14340.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
14206.7
DO50776
75 years, male, NA, stage:1, alive, 690 days
14048.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
14030.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
14006.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
13857.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
13775.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
13759.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
13696.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
13653.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
13495.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
13406.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
13343.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
13212.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
13202.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
13132.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
13075.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
13045.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
13015.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
13013.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
12848.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
12790.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
12620.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
12534.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
12319.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
12274.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
12118.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
12115.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
12061.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
11875.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
11821.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
11811.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
11796.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
11776.1
DO23543
63 years, male, NA, stage:2, alive, 1020 days
11757.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
11665.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
11642.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
11632.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
11410.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
11349.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
11334.7
DO23532
71 years, female, NA, stage:1, alive, 960 days
11184.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
11113.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
11109.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
11030.1
DO45103
47 years, male, NA, stage:3, alive, 450 days
10914.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
10902.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
10858.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
10678.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
10677.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
10627.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
10555.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
10507.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
10409.1
DO50809
56 years, male, NA, stage:3, dead, 720 days
10399.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
10369.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
10250.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
10243.0
DO45113
58 years, male, NA, stage:3, alive, 1560 days
10100.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
10022.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
10010.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
9966.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
9929.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
9926.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
9926.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
9911.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
9842.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
9762.9
DO45235
68 years, female, NA, stage:1, alive, 900 days
9719.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
9639.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
9500.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
9397.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
9395.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
9387.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
9356.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
9328.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
9318.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
9202.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
9158.5
DO50806
70 years, male, NA, stage:4, alive, 540 days
9128.2
DO23551
73 years, male, NA, stage:3, dead, 150 days
9101.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
8700.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
8577.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
8572.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
8447.1
DO23508
79 years, female, NA, stage:2, alive, 390 days
8305.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
8301.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
8232.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
8115.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
7943.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
7918.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
7874.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
7854.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
7751.7
DO48716
71 years, male, NA, stage:2, alive, 720 days
7718.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
7718.2
DO45221
75 years, female, NA, stage:4, dead, 390 days
7632.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
7587.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
7532.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
7438.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
7437.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
7384.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
7345.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
7333.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
7321.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
7276.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
7276.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
7221.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
7196.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
7185.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
7075.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
6999.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
6936.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
6813.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
6676.9
DO23545
67 years, male, NA, stage:2, dead, 570 days
6649.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
6646.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
6554.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
6443.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
6408.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
6406.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
6373.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
6280.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
6117.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
6091.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
6035.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
5976.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
5877.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
5798.5
DO48681
57 years, male, NA, stage:2, alive, 900 days
5662.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
5644.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
5637.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
5578.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
5516.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
5503.9
DO48737
52 years, male, NA, stage:1, alive, 720 days
5462.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
5407.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
5338.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
5319.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
5201.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
5070.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
5006.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
4958.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
4667.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
4653.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
4603.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
4595.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
4581.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
4530.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4414.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
4401.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
4170.1
DO45159
65 years, male, NA, stage:3, alive, 1470 days
4156.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
4055.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
4023.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
3843.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
3749.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
3685.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
3683.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3517.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
3516.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3286.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
3256.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
3199.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
3169.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
3022.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
2996.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
2994.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
2813.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
2802.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
2622.0
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2210.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
1975.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
1947.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
1899.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1846.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
1670.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
1666.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1632.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
1272.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
1117.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
1099.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
1098.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
1068.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
952.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
811.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
750.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
416.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
351.7
DO45303
62 years, female, NA, stage:3, alive, 990 days
207.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
169.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
142.0
DO45299
70 years, female, NA, stage:1, alive, 1440 days
137.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
120.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
71.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
71.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
51.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
48.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
445
Tumor
1.5
863
Tumor
1.2
877
Tumor
1.1
635
Tumor
1.1
112
Tumor
1.1
425
Tumor
1.0
1041
Tumor
1.0
615
Tumor
1.0
857
Tumor
0.9
571
Tumor
0.9
431
Tumor
0.9
231
Tumor
0.9
463
Tumor
0.9
435
Tumor
0.9
393
Tumor
0.8
135
Tumor
0.8
785
Tumor
0.8
515
Tumor
0.8
267
Tumor
0.7
647
Tumor
0.7
328
Normal
0.7
343
Tumor
0.7
745
Tumor
0.7
477
Tumor
0.7
741
Tumor
0.7
423
Tumor
0.7
513
Tumor
0.7
517
Tumor
0.6
915
Tumor
0.6
1045
Tumor
0.6
911
Tumor
0.5
1042
Normal
0.5
127
Tumor
0.4
573
Tumor
0.4
353
Tumor
0.4
921
Tumor
0.4
715
Tumor
0.4
563
Tumor
0.4
671
Tumor
0.4
342
Normal
0.4
1025
Tumor
0.4
818
Normal
0.4
461
Tumor
0.4
977
Tumor
0.3
341
Tumor
0.3
523
Tumor
0.3
354
Normal
0.3
697
Tumor
0.3
137
Tumor
0.3
185
Tumor
0.3
665
Tumor
0.3
138
Normal
0.3
617
Tumor
0.3
557
Tumor
0.3
357
Tumor
0.3
666
Normal
0.3
636
Normal
0.3
648
Normal
0.3
224
Normal
0.3
365
Tumor
0.3
171
Tumor
0.3
564
Normal
0.3
432
Normal
0.3
568
Normal
0.3
816
Normal
0.3
616
Normal
0.3
913
Tumor
0.2
572
Normal
0.2
627
Tumor
0.2
641
Tumor
0.2
161
Tumor
0.2
355
Tumor
0.2
481
Tumor
0.2
883
Tumor
0.2
663
Tumor
0.2
192
Normal
0.2
713
Tumor
0.2
722
Normal
0.2
672
Normal
0.2
533
Tumor
0.2
494
Normal
0.2
628
Normal
0.2
257
Tumor
0.2
452
Normal
0.2
744
Normal
0.2
443
Tumor
0.1
1046
Normal
0.1
861
Tumor
0.1
958
Normal
0.1
924
Normal
0.1
938
Normal
0.1
618
Normal
0.1
823
Tumor
0.1
815
Tumor
0.1
448
Normal
0.1
884
Normal
0.1
451
Tumor
0.1
817
Tumor
0.1
975
Tumor
0.1
723
Tumor
0.1
132
Normal
0.1
862
Normal
0.1
327
Tumor
0.1
232
Normal
0.1
755
Tumor
0.1
1043
Tumor
0.1
878
Normal
0.1
388
Normal
0.1
867
Tumor
0.0
471
Tumor
0.0
426
Normal
0.0
472
Normal
0.0
685
Tumor
0.0
868
Normal
0.0
277
Tumor
0.0
261
Tumor
0.0
421
Tumor
0.0
737
Tumor
0.0
514
Normal
0.0
147
Tumor
0.0
468
Normal
0.0
376
Normal
0.0
964
Normal
0.0
1027
Tumor
0.0
364
Normal
0.0
912
Normal
0.0
963
Tumor
0.0
361
Tumor
0.0
864
Normal
0.0
414
Normal
0.0
146
Normal
0.0
954
Normal
0.0
384
Normal
0.0
738
Normal
0.0
358
Normal
0.0
498
Normal
0.0
662
Normal
0.0
433
Tumor
0.0
786
Normal
0.0
967
Tumor
0.0
113
Tumor
0.0
534
Normal
0.0
186
Normal
0.0
114
Normal
0.0
482
Normal
0.0
824
Normal
0.0
922
Normal
0.0
422
Normal
0.0
1032
Normal
-0.1
172
Normal
-0.1
111
Normal
-0.1
462
Normal
-0.1
128
Normal
-0.1
567
Tumor
-0.1
858
Normal
-0.1
424
Normal
-0.1
223
Tumor
-0.1
574
Normal
-0.1
436
Normal
-0.1
746
Normal
-0.1
278
Normal
-0.1
873
Tumor
-0.1
465
Tumor
-0.1
882
Normal
-0.1
558
Normal
-0.1
352
Normal
-0.1
474
Normal
-0.1
866
Normal
-0.1
952
Normal
-0.1
125
Tumor
-0.1
881
Tumor
-0.1
742
Normal
-0.1
642
Normal
-0.1
953
Tumor
-0.1
214
Normal
-0.1
483
Tumor
-0.1
356
Normal
-0.1
1022
Normal
-0.2
721
Tumor
-0.2
982
Normal
-0.2
981
Tumor
-0.2
126
Normal
-0.2
313
Tumor
-0.2
258
Normal
-0.2
196
Normal
-0.2
473
Tumor
-0.2
874
Normal
-0.2
314
Normal
-0.2
444
Normal
-0.2
698
Normal
-0.2
412
Normal
-0.2
484
Normal
-0.2
813
Tumor
-0.2
142
Normal
-0.2
1044
Normal
-0.2
538
Normal
-0.2
918
Normal
-0.2
124
Normal
-0.2
387
Tumor
-0.2
553
Tumor
-0.2
213
Tumor
-0.2
524
Normal
-0.2
714
Normal
-0.3
976
Normal
-0.3
362
Normal
-0.3
1016
Normal
-0.3
366
Normal
-0.3
411
Tumor
-0.3
777
Tumor
-0.3
1021
Tumor
-0.3
488
Normal
-0.3
664
Normal
-0.3
526
Normal
-0.3
391
Tumor
-0.3
493
Tumor
-0.3
394
Normal
-0.3
222
Normal
-0.3
262
Normal
-0.3
956
Normal
-0.3
416
Normal
-0.3
778
Normal
-0.3
491
Tumor
-0.3
926
Normal
-0.3
446
Normal
-0.3
686
Normal
-0.3
396
Normal
-0.3
546
Normal
-0.3
925
Tumor
-0.3
428
Normal
-0.3
1026
Normal
-0.3
123
Tumor
-0.3
272
Normal
-0.3
852
Normal
-0.3
188
Normal
-0.3
297
Tumor
-0.3
984
Normal
-0.3
148
Normal
-0.3
728
Normal
-0.3
756
Normal
-0.3
195
Tumor
-0.3
298
Normal
-0.3
1013
Tumor
-0.3
957
Tumor
-0.3
968
Normal
-0.3
966
Normal
-0.4
516
Normal
-0.4
363
Tumor
-0.4
1014
Normal
-0.4
386
Normal
-0.4
478
Normal
-0.4
916
Normal
-0.4
487
Tumor
-0.4
228
Normal
-0.4
415
Tumor
-0.4
525
Tumor
-0.4
518
Normal
-0.4
392
Normal
-0.4
344
Normal
-0.4
456
Normal
-0.4
951
Tumor
-0.4
851
Tumor
-0.4
695
Tumor
-0.4
368
Normal
-0.4
497
Tumor
-0.5
162
Normal
-0.5
466
Normal
-0.5
1015
Tumor
-0.5
332
Normal
-0.5
914
Normal
-0.5
268
Normal
-0.5
978
Normal
-0.5
696
Normal
-0.5
271
Tumor
-0.5
1031
Tumor
-0.5
217
Tumor
-0.5
141
Tumor
-0.5
447
Tumor
-0.5
136
Normal
-0.5
284
Normal
-0.5
1028
Normal
-0.5
131
Tumor
-0.5
965
Tumor
-0.5
212
Normal
-0.5
716
Normal
-0.6
743
Tumor
-0.6
367
Tumor
-0.6
427
Tumor
-0.6
434
Normal
-0.6
955
Tumor
-0.6
923
Tumor
-0.6
464
Normal
-0.6
944
Normal
-0.6
286
Normal
-0.6
413
Tumor
-0.6
554
Normal
-0.7
375
Tumor
-0.7
527
Tumor
-0.7
492
Normal
-0.7
528
Normal
-0.7
395
Tumor
-0.7
536
Normal
-0.7
983
Tumor
-0.8
191
Tumor
-0.8
187
Tumor
-0.8
661
Tumor
-0.8
218
Normal
-0.8
537
Tumor
-0.8
145
Tumor
-0.8
385
Tumor
-0.8
937
Tumor
-0.9
467
Tumor
-0.9
227
Tumor
-0.9
351
Tumor
-0.9
943
Tumor
-0.9
865
Tumor
-0.9
814
Normal
-0.9
545
Tumor
-0.9
724
Normal
-1.0
312
Normal
-1.0
331
Tumor
-1.0
727
Tumor
-1.0
535
Tumor
-1.1
383
Tumor
-1.2
311
Tumor
-1.2
283
Tumor
-1.2
285
Tumor
-1.4
917
Tumor
-1.5
221
Tumor
-1.8
455
Tumor
-1.8
211
Tumor
-2.1
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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.