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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.
: 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
13713.0
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
71944.4
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
56824.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
56296.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
44449.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
43252.4
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
42678.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
37153.4
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
36180.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
32825.6
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
31972.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
31322.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
29920.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
29638.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
29427.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
29276.5
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
29080.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
28352.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
28073.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
27974.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
27554.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
27519.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
27431.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
27158.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
26867.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
26672.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
26333.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
26255.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
25773.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
25767.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
25671.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
25405.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
24445.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
24100.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
24088.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
23854.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
23542.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
23111.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
23076.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
22841.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
22671.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
22639.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
22337.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
22046.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
21691.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
21621.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
21581.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
21516.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
21514.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
21510.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
21161.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
20995.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
20830.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
20702.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
20692.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
20591.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
20589.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
20219.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
20199.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
20109.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
20073.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
20048.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
20000.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
19918.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
19773.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
19652.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
19599.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
19519.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
19367.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
19307.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
19210.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
19130.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
19084.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
19072.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
18846.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
18707.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
18701.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
18671.1
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
18630.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
18595.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
18571.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
18561.1
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
18420.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
18375.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
18340.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
18231.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
18154.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
18129.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
17917.4
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
17902.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
17890.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
17769.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
17736.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
17703.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
17603.6
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
17556.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
17483.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
17420.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
17276.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
17250.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
17185.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
17114.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
17096.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
17092.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
17044.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
17025.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
16808.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
16759.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
16756.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
16725.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
16693.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
16622.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
16604.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
16589.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
16537.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
16322.0
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
16307.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
16276.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
16265.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
16245.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
16222.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
16180.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
15956.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
15784.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
15720.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
15691.1
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
15675.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
15673.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
15643.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
15532.4
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
15503.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
15484.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
15438.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
15396.4
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
15167.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
15137.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
15101.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
15073.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
14889.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
14841.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
14769.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
14675.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
14637.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
14634.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
14613.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
14517.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
14514.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
14512.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
14489.2
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
14486.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
14431.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
14425.9
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
14366.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
14361.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
14306.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
14262.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
14183.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
14172.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
14109.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
14042.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
13957.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
13933.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
13898.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
13866.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
13811.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
13751.8
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
13699.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
13339.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
13310.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
13256.7
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
13215.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
13086.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
13037.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
13035.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
12983.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
12954.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
12945.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
12861.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
12708.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
12612.1
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
12534.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
12378.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
12302.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
12274.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
12142.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
12056.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
12051.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
12050.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
12029.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
11951.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
11892.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
11850.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
11824.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
11779.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
11729.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
11672.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
11662.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
11600.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
11504.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
11385.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
11384.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
11379.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
11267.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
11264.8
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
11226.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
11222.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
11197.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
11187.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
11152.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
11121.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
11115.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
11078.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
11052.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
10977.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
10934.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
10914.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
10907.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
10743.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
10698.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
10661.6
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
10658.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
10570.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
10480.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
10469.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
10461.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
10438.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
10397.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
10321.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
10230.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
10113.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
10085.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
10021.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
10021.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
9843.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
9839.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
9835.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
9717.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
9695.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
9578.7
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
9491.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
9470.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
9437.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
9435.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
9399.3
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
9389.4
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
9256.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
8951.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
8918.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
8914.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
8880.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
8877.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
8873.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
8857.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
8834.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
8805.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
8802.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
8742.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
8732.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
8730.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
8728.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
8728.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
8650.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
8608.7
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
8543.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
8473.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
8447.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
8441.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
8361.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
8312.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
8242.4
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
7933.8
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
7862.5
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
7821.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
7810.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
7674.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
7587.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
7540.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
7476.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
7470.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
7369.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
7364.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
7302.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
7272.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
7155.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
7122.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
7114.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
7091.0
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
7076.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
7031.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
6968.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
6909.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
6891.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
6838.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
6821.1
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
6779.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
6681.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
6681.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
6642.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
6619.2
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
6586.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
6426.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
6359.2
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
6267.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
6215.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
6193.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
6186.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
6075.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
6066.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
6045.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
6043.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
6038.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
5994.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
5805.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
5744.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
5701.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
5691.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
5566.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
5527.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
5314.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
5286.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
5269.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
5225.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5168.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
5094.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
5054.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
4924.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
4789.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
4660.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
4660.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4108.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3913.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3726.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3393.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3331.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3321.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
3033.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2983.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2817.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2802.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2763.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
2678.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2516.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
2363.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
2197.9
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2089.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1985.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1790.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1736.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1729.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1492.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1365.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
1212.5
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1156.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1119.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
953.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
811.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
683.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
602.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
466.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
111.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
91.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
70.9
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.
: 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
15283.2
Number of samples
231
Samples
Sample
Description
pTPM
DO50814
83 years, male, NA, stage:3, alive, 420 days
55536.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
46423.7
DO45099
46 years, male, NA, stage:3, alive, 1590 days
43355.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
38340.3
DO23534
60 years, male, NA, stage:2, alive, 840 days
38249.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
38118.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
37370.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
36831.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
36731.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
35759.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
34967.4
DO50816
63 years, male, NA, stage:2, alive, 390 days
34283.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
34107.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
32028.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
31443.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
28747.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
28696.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
28365.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
28225.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
27058.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
26971.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
26827.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
26499.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
25984.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
25928.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
25740.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
25492.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
25443.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
25229.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
24808.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
24659.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
23887.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
23513.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
23492.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
23395.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
23264.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
23162.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
23135.8
DO50859
77 years, male, NA, stage:2, alive, 180 days
22628.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
22571.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
22360.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
22222.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
22208.4
DO45269
59 years, male, NA, stage:3, alive, 750 days
21828.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
21521.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
21483.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
21473.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
21473.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
21343.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
21245.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
21225.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
21161.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
20879.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
20690.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
20557.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
20370.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
20360.2
DO50776
75 years, male, NA, stage:1, alive, 690 days
20258.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
20245.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
20170.2
DO48693
71 years, male, NA, stage:2, alive, 900 days
20136.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
20049.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
20034.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
19992.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
19817.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
19771.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
19609.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
19475.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
19401.1
DO45111
74 years, male, NA, stage:2, alive, 1590 days
19370.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
19081.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
19075.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
18869.8
DO23532
71 years, female, NA, stage:1, alive, 960 days
18817.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
18738.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
18636.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
18241.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
18020.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
17991.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
17965.7
DO45097
69 years, male, NA, stage:3, alive, 1620 days
17837.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
17823.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
17777.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
17758.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
17699.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
17521.9
DO50805
72 years, male, NA, stage:2, alive, 690 days
17436.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
17386.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
17271.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
17175.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
17126.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
17082.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
16991.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
16900.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
16838.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
16632.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
16584.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
16571.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
16518.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
16378.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
16359.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
16114.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
15761.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
15712.0
DO45195
62 years, male, NA, stage:1, alive, 390 days
15580.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
15468.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
15427.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
15337.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
15335.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
15133.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
14760.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
14716.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
14641.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
14485.5
DO45091
56 years, male, NA, stage:2, dead, 1320 days
14436.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
14412.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
14353.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
14237.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
14168.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
14089.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
13953.0
DO45259
65 years, male, NA, stage:3, alive, 330 days
13847.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
13643.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
13617.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
13534.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
13524.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
13490.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
13325.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
13194.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
13134.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
13038.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
13021.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
12949.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
12692.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
12639.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
12624.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
12607.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
12378.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
12370.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
12188.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
12069.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
11983.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
11944.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
11523.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
11522.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
11483.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
11456.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
11449.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
11430.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
11285.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
11221.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
11186.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
10939.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
10867.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
10846.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
10671.2
DO50845
72 years, male, NA, stage:3, alive, 210 days
10468.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
10447.9
DO50785
37 years, male, NA, stage:4, dead, 90 days
10141.6
DO45179
78 years, female, NA, stage:2, alive, 600 days
10113.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
10112.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
10077.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
10076.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
10041.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
10023.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
10003.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
9523.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
9461.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
9327.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
9146.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
9132.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
9069.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
8900.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
8780.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
8677.2
DO45261
74 years, male, NA, stage:3, alive, 990 days
8347.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
8342.7
DO45159
65 years, male, NA, stage:3, alive, 1470 days
8298.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
8252.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
8153.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
7896.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
7886.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
7767.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
7666.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
7588.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
7518.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
7503.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
7419.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
7386.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
7211.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
7124.2
DO50855
47 years, male, NA, stage:2, alive, 570 days
6570.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
6267.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
6229.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
6098.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
5961.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
5799.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
5780.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
5581.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
5577.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
5420.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
5342.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
4842.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
4381.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
3990.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
3890.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
3810.2
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3708.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
3494.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
3298.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
3205.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
2580.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
2549.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
2274.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
2264.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
2246.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2036.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
2011.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
1694.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1515.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
667.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
574.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
383.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
351.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
279.2
DO45299
70 years, female, NA, stage:1, alive, 1440 days
237.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
230.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
136.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
113.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
100.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
86.3
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.