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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.
APOA2 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.13
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.
49%
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.
47%
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
33746.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
125449.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
112683.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
103266.0
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
101593.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
101242.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
94858.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
90960.9
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
90460.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
89096.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
88919.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
88471.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
82672.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
80027.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
78331.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
77860.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
76154.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
75722.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
75463.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
75223.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
74560.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
73979.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
72463.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
72096.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
72018.9
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
70875.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
70616.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
70564.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
70303.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
69559.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
69392.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
68751.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
66650.3
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
66418.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
66327.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
66005.8
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
65667.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
64573.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
64206.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
63890.3
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
63718.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
62673.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
61698.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
61673.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
61171.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
61142.4
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
60713.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
60670.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
60480.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
59929.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
58604.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
58562.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
58524.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
58232.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
58075.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
57911.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
57822.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
57525.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
57376.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
56817.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
56712.8
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
55615.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
55296.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
55274.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
55128.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
54144.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
54075.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
53908.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
53753.9
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
53354.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
53219.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
52168.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
51864.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
51700.7
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
50730.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
50585.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
50575.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
50159.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
49783.9
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
49501.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
49356.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
49266.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
49165.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
49093.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
48764.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
48609.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
48369.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
48158.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
47916.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
47582.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
47512.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
47347.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
46816.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
46707.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
46704.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
46486.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
46358.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
45757.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
45690.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
45527.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
45244.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
44748.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
44719.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
44710.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
44411.5
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
44044.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
43615.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
43361.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
43334.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
43279.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
43107.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
43033.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
42685.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
42616.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
42439.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
42322.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
42246.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
42215.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
42166.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
42054.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
41915.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
41854.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
41494.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
41371.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
41312.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
41246.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
40716.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
40692.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
40062.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
39892.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
39797.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
39543.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
39471.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
39378.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
39259.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
39128.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
38849.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
38614.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
38544.6
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
38159.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
37770.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
37727.8
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
37594.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
37421.4
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
37244.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
37205.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
36824.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
36626.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
36413.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
36063.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
36000.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
35955.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
35383.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
35349.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
35302.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
35219.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
35140.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
34516.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
34314.0
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
34289.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
33572.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
33552.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
33373.3
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
33331.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
33034.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
32846.6
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
32737.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
32704.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
32699.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
32623.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
32314.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
32291.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
32235.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
32227.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
32170.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
31965.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
31747.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
31600.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
31400.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
31141.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
30896.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
30789.0
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
30530.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
30343.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
30263.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
30080.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
29902.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
29791.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
29594.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
29421.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
29154.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
28936.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
28867.6
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
28814.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
28756.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
28728.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
28686.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
28481.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
28435.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
28420.8
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
28032.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
27903.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
27892.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
27816.0
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
27711.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
27698.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
27092.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
26925.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
26885.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
26774.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
26595.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
26406.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
26264.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
26220.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
25817.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
25554.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
25549.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
25444.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
25263.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
25214.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
25193.1
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
24682.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
24636.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
24580.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
24480.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
24462.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
24372.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
24129.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
23929.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
23824.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
23679.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
23234.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
23076.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
23063.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
22563.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
22506.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
22390.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
21748.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
21615.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
21464.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
21324.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
21160.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
20923.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
20807.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
20770.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
20762.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
20658.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
20570.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
20332.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
20245.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
19844.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
19829.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
19582.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
19295.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
19182.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
18959.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
18708.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
18691.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
18680.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
18670.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
18468.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
18425.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
18265.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
18220.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
17925.4
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
17833.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
17454.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
17331.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
17278.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
17191.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
16750.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
16691.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
16652.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
16577.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
16499.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
16487.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
16358.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
15920.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
15864.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
15794.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
15685.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
15256.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
14942.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
14803.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
14547.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
14290.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
14275.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
14145.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
14057.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
13537.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
13518.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
12964.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
12789.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
12486.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
12383.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
12275.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
11948.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
11862.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
11403.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
11365.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
11224.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
11130.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
10980.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
10920.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
10897.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
10654.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
10578.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
10442.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
9909.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
9669.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
9629.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
9592.6
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
9378.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
9153.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
8410.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
8260.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
8038.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
7583.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
7470.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
7417.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
7132.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
6905.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
6497.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
5472.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
4962.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4666.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
4560.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
4322.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
4303.9
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3930.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3810.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3637.4
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
3613.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
3545.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2886.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2851.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2844.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2739.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2318.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2221.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
2088.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1811.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1545.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1375.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1157.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
923.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
720.2
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
506.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
434.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
264.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
251.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
179.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
88.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
58.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
47.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
41.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
35.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
23.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
19.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
13.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
12.6
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
8.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 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.
APOA2 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.023
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.
69%
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.
49%
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
24431.4
Number of samples
231
Samples
Sample
Description
TPM
DO45241
49 years, male, NA, stage:1, alive, 1080 days
103849.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
80581.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
70440.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
67055.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
63437.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
62680.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
61943.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
60016.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
59302.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
58700.6
DO45117
73 years, female, NA, stage:2, dead, 1110 days
55347.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
54946.1
DO45183
72 years, female, NA, stage:2, dead, 570 days
53455.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
53285.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
50278.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
49819.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
49746.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
48983.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
48925.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
48803.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
48431.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
47914.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
47556.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
47494.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
47217.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
46960.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
46293.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
45731.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
45248.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
44765.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
44665.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
44320.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
43818.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
43539.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
42536.8
DO23529
72 years, male, NA, stage:4, alive, 930 days
42140.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
41723.0
DO48725
66 years, male, NA, stage:1, alive, 780 days
40778.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
40298.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
39599.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
39497.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
39302.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
38863.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
38761.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
38526.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
37867.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
37451.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
37405.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
37088.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
36952.6
DO45131
53 years, male, NA, stage:4, dead, 360 days
36834.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
36776.5
DO48695
77 years, male, NA, stage:2, alive, 720 days
36599.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
36110.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
35622.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
35025.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
34958.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
33824.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
33706.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
33704.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
33240.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
33198.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
33121.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
33069.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
32313.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
32310.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
32180.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
32112.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
32098.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
31768.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
31752.7
DO23536
56 years, male, NA, stage:2, alive, 930 days
31741.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
31691.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
30938.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
30486.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
30476.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
29565.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
29520.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
29369.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
29200.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
29116.7
DO45175
74 years, male, NA, stage:2, alive, 1140 days
29051.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
28763.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
28507.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
28493.8
DO48693
71 years, male, NA, stage:2, alive, 900 days
28116.6
DO23510
80 years, female, NA, stage:2, alive, 870 days
27962.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
27790.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
27702.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
27587.5
DO50845
72 years, male, NA, stage:3, alive, 210 days
27573.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
27523.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
27471.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
27090.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
26947.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
26844.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
26677.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
25834.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
25389.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
25083.8
DO45257
46 years, male, NA, stage:3, alive, 810 days
25031.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
25015.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
24974.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
24963.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
24610.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
24474.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
24268.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
24200.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
23655.5
DO48677
58 years, male, NA, stage:3, alive, 1140 days
23421.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
22644.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
22547.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
22543.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
22394.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
22311.7
DO45123
78 years, female, NA, stage:2, dead, 570 days
22311.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
21748.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
21658.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
21577.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
21424.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
21307.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
21107.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
21069.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
20783.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
20625.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
20616.9
DO23517
62 years, male, NA, stage:2, alive, 1200 days
20290.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
20237.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
20124.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
20075.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
20043.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
20017.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
19719.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
19533.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
19443.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
19441.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
19403.0
DO50791
79 years, female, NA, stage:1, dead, 480 days
19351.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
19296.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
18500.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
18072.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
18058.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
17895.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
17662.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
17541.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
17499.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
17434.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
17244.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
17230.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
17138.8
DO50818
65 years, male, NA, stage:2, alive, 510 days
16968.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
16797.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
16756.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
16473.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
15947.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
15863.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
15541.1
DO23525
71 years, male, NA, stage:4, alive, 1050 days
15540.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
15312.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
15308.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
15290.0
DO45197
51 years, male, NA, stage:2, alive, 1170 days
15243.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
15112.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
14921.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
14799.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
14297.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
13963.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
13575.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
12941.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
12754.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
12663.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
12457.3
DO45157
62 years, male, NA, stage:2, alive, 1980 days
11323.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
11191.1
DO50774
68 years, female, NA, stage:2, alive, 720 days
11018.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
10812.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
10772.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
10636.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
10104.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
9928.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
9824.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
9502.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
9363.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
9087.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
8726.8
DO48742
76 years, male, NA, stage:2, alive, 600 days
7653.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
7629.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
7528.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
7259.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
7120.6
DO45231
84 years, male, NA, stage:2, alive, 930 days
6825.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
6492.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
6378.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
6266.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
6231.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
6186.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
6141.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
4974.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
4952.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
4759.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
4081.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
3734.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
2944.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
2810.7
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2653.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
2641.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
2560.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
2540.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
2433.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1943.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
1426.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
1294.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
968.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
930.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
866.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
686.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
560.7
DO45287
74 years, male, NA, stage:1, alive, 390 days
547.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
484.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
240.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
132.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
59.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
32.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
24.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
24.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
23.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
15.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
11.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
4.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
4.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
3.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.9
343
Tumor
1.4
135
Tumor
1.0
815
Tumor
1.0
517
Tumor
1.0
745
Tumor
0.9
671
Tumor
0.9
863
Tumor
0.9
471
Tumor
0.9
1027
Tumor
0.8
713
Tumor
0.8
817
Tumor
0.7
983
Tumor
0.7
147
Tumor
0.7
192
Normal
0.7
665
Tumor
0.7
425
Tumor
0.6
567
Tumor
0.6
125
Tumor
0.6
391
Tumor
0.5
131
Tumor
0.5
224
Normal
0.5
313
Tumor
0.5
777
Tumor
0.4
697
Tumor
0.4
851
Tumor
0.4
363
Tumor
0.4
435
Tumor
0.4
975
Tumor
0.4
921
Tumor
0.4
367
Tumor
0.4
785
Tumor
0.4
641
Tumor
0.4
743
Tumor
0.4
535
Tumor
0.3
257
Tumor
0.3
365
Tumor
0.3
685
Tumor
0.3
431
Tumor
0.3
635
Tumor
0.3
227
Tumor
0.3
663
Tumor
0.2
393
Tumor
0.2
746
Normal
0.2
563
Tumor
0.2
283
Tumor
0.2
813
Tumor
0.2
411
Tumor
0.2
368
Normal
0.2
261
Tumor
0.2
455
Tumor
0.2
112
Tumor
0.2
737
Tumor
0.2
515
Tumor
0.2
1045
Tumor
0.2
1025
Tumor
0.2
881
Tumor
0.1
951
Tumor
0.1
615
Tumor
0.1
384
Normal
0.1
311
Tumor
0.1
868
Normal
0.1
618
Normal
0.1
187
Tumor
0.1
573
Tumor
0.1
617
Tumor
0.1
461
Tumor
0.1
223
Tumor
0.1
627
Tumor
0.1
647
Tumor
0.0
977
Tumor
0.0
715
Tumor
0.0
537
Tumor
0.0
778
Normal
0.0
883
Tumor
0.0
1022
Normal
0.0
1041
Tumor
0.0
741
Tumor
0.0
878
Normal
0.0
387
Tumor
0.0
686
Normal
0.0
228
Normal
0.0
1028
Normal
0.0
915
Tumor
0.0
375
Tumor
0.0
953
Tumor
0.0
553
Tumor
0.0
857
Tumor
0.0
491
Tumor
0.0
474
Normal
0.0
221
Tumor
0.0
444
Normal
0.0
744
Normal
0.0
823
Tumor
-0.1
1043
Tumor
-0.1
523
Tumor
-0.1
858
Normal
-0.1
232
Normal
-0.1
527
Tumor
-0.1
331
Tumor
-0.1
488
Normal
-0.1
145
Tumor
-0.1
462
Normal
-0.1
421
Tumor
-0.1
672
Normal
-0.1
642
Normal
-0.1
328
Normal
-0.1
416
Normal
-0.1
341
Tumor
-0.1
636
Normal
-0.1
816
Normal
-0.1
862
Normal
-0.1
914
Normal
-0.1
366
Normal
-0.1
271
Tumor
-0.1
724
Normal
-0.1
1021
Tumor
-0.1
396
Normal
-0.1
297
Tumor
-0.1
911
Tumor
-0.1
142
Normal
-0.1
728
Normal
-0.1
884
Normal
-0.1
277
Tumor
-0.1
327
Tumor
-0.1
661
Tumor
-0.1
477
Tumor
-0.2
312
Normal
-0.2
126
Normal
-0.2
824
Normal
-0.2
864
Normal
-0.2
564
Normal
-0.2
738
Normal
-0.2
538
Normal
-0.2
472
Normal
-0.2
447
Tumor
-0.2
616
Normal
-0.2
874
Normal
-0.2
967
Tumor
-0.2
882
Normal
-0.2
466
Normal
-0.2
966
Normal
-0.2
695
Tumor
-0.2
568
Normal
-0.2
361
Tumor
-0.2
487
Tumor
-0.2
354
Normal
-0.2
866
Normal
-0.2
385
Tumor
-0.2
648
Normal
-0.2
388
Normal
-0.2
344
Normal
-0.2
982
Normal
-0.2
916
Normal
-0.2
964
Normal
-0.2
1031
Tumor
-0.2
722
Normal
-0.2
285
Tumor
-0.2
867
Tumor
-0.2
534
Normal
-0.2
146
Normal
-0.2
494
Normal
-0.2
424
Normal
-0.2
516
Normal
-0.2
938
Normal
-0.2
1032
Normal
-0.2
217
Tumor
-0.2
186
Normal
-0.2
364
Normal
-0.3
957
Tumor
-0.3
464
Normal
-0.3
148
Normal
-0.3
1042
Normal
-0.3
132
Normal
-0.3
231
Tumor
-0.3
386
Normal
-0.3
965
Tumor
-0.3
557
Tumor
-0.3
448
Normal
-0.3
533
Tumor
-0.3
258
Normal
-0.3
124
Normal
-0.3
873
Tumor
-0.3
267
Tumor
-0.3
362
Normal
-0.3
536
Normal
-0.3
924
Normal
-0.3
481
Tumor
-0.3
723
Tumor
-0.3
342
Normal
-0.3
958
Normal
-0.3
721
Tumor
-0.3
922
Normal
-0.3
574
Normal
-0.3
483
Tumor
-0.3
262
Normal
-0.3
351
Tumor
-0.3
513
Tumor
-0.3
185
Tumor
-0.3
111
Normal
-0.3
272
Normal
-0.3
571
Tumor
-0.3
546
Normal
-0.3
727
Tumor
-0.3
136
Normal
-0.3
376
Normal
-0.3
852
Normal
-0.3
482
Normal
-0.3
191
Tumor
-0.3
818
Normal
-0.3
356
Normal
-0.3
956
Normal
-0.3
456
Normal
-0.3
696
Normal
-0.3
861
Tumor
-0.3
716
Normal
-0.4
128
Normal
-0.4
514
Normal
-0.4
138
Normal
-0.4
137
Tumor
-0.4
976
Normal
-0.4
666
Normal
-0.4
196
Normal
-0.4
171
Tumor
-0.4
213
Tumor
-0.4
268
Normal
-0.4
172
Normal
-0.4
572
Normal
-0.4
478
Normal
-0.4
714
Normal
-0.4
1016
Normal
-0.4
786
Normal
-0.4
923
Tumor
-0.4
428
Normal
-0.4
912
Normal
-0.4
756
Normal
-0.4
445
Tumor
-0.4
433
Tumor
-0.4
286
Normal
-0.4
314
Normal
-0.4
952
Normal
-0.4
628
Normal
-0.4
452
Normal
-0.4
984
Normal
-0.4
463
Tumor
-0.4
383
Tumor
-0.4
123
Tumor
-0.4
113
Tumor
-0.4
1046
Normal
-0.4
141
Tumor
-0.4
278
Normal
-0.4
498
Normal
-0.4
742
Normal
-0.4
755
Tumor
-0.4
355
Tumor
-0.5
558
Normal
-0.5
188
Normal
-0.5
918
Normal
-0.5
412
Normal
-0.5
415
Tumor
-0.5
545
Tumor
-0.5
353
Tumor
-0.5
434
Normal
-0.5
917
Tumor
-0.5
968
Normal
-0.5
392
Normal
-0.5
1026
Normal
-0.5
426
Normal
-0.5
698
Normal
-0.5
413
Tumor
-0.5
465
Tumor
-0.5
114
Normal
-0.5
432
Normal
-0.5
222
Normal
-0.5
492
Normal
-0.5
298
Normal
-0.5
664
Normal
-0.5
963
Tumor
-0.5
1015
Tumor
-0.5
127
Tumor
-0.5
394
Normal
-0.5
195
Tumor
-0.5
913
Tumor
-0.5
212
Normal
-0.5
518
Normal
-0.6
525
Tumor
-0.6
662
Normal
-0.6
468
Normal
-0.6
395
Tumor
-0.6
814
Normal
-0.6
1014
Normal
-0.6
484
Normal
-0.6
954
Normal
-0.6
414
Normal
-0.6
214
Normal
-0.6
451
Tumor
-0.6
944
Normal
-0.6
284
Normal
-0.6
926
Normal
-0.6
526
Normal
-0.6
981
Tumor
-0.6
162
Normal
-0.6
955
Tumor
-0.6
493
Tumor
-0.6
528
Normal
-0.6
446
Normal
-0.6
978
Normal
-0.7
357
Tumor
-0.7
352
Normal
-0.7
865
Tumor
-0.7
436
Normal
-0.7
1044
Normal
-0.7
332
Normal
-0.7
423
Tumor
-0.7
358
Normal
-0.7
473
Tumor
-0.7
467
Tumor
-0.7
422
Normal
-0.7
554
Normal
-0.8
524
Normal
-0.8
443
Tumor
-0.8
218
Normal
-0.8
925
Tumor
-0.8
161
Tumor
-0.9
943
Tumor
-0.9
1013
Tumor
-1.0
937
Tumor
-1.0
497
Tumor
-1.0
427
Tumor
-1.1
211
Tumor
-1.2
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.