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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.
APOA1 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.
: 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
9842.8
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
56610.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
50388.3
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
44881.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
44476.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
39314.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
38439.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
35960.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
33654.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
31434.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
30339.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
30188.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
30164.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
29909.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
28160.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
28104.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
27693.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
27411.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
25662.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
25414.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
23795.4
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
23659.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
23655.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
23536.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
23480.0
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
23447.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
23314.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
23003.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
22890.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
22342.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
21942.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
21777.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
21556.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
21147.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
21000.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
20938.1
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
20667.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
20620.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
20553.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
20446.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
20430.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
20199.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
19965.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
19697.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
19515.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
19479.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
19268.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
19188.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
19039.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
18857.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
18767.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
18637.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
18631.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
18340.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
18251.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
18140.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
18139.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
18135.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
18072.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
18066.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
18051.7
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
17827.9
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
17648.4
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
17617.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
17613.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
17514.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
17448.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
17054.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
17009.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
16928.1
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
16769.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
16683.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
16236.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
16216.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
16135.0
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
15825.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
15558.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
15452.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
15237.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
15219.1
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
15134.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
15093.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
15059.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
14927.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
14816.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
14790.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
14429.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
14379.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
14322.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
14139.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
14136.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
14064.5
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
13710.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
13394.3
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
13347.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
13113.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
12984.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
12968.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
12962.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
12826.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
12791.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
12786.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
12675.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
12645.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
12527.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
12380.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
12341.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
12059.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
12024.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
11902.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
11861.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
11856.8
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
11846.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
11824.0
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
11699.2
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
11679.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
11544.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
11534.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
11340.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
11299.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
11259.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
11250.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
11238.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
10932.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
10911.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
10901.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
10846.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
10833.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
10816.5
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
10803.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
10695.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
10641.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
10628.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
10599.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
10578.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
10563.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
10551.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
10546.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
10479.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
10447.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
10438.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
10297.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
10137.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
10074.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
10061.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
10060.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
10034.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
10023.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
9770.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
9761.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
9591.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
9557.2
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
9481.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
9438.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
9428.5
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
9413.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
9133.4
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
9078.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
9064.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
9057.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
8876.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
8829.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
8819.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
8777.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
8744.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
8692.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
8630.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
8616.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
8574.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
8525.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
8498.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
8422.7
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
8395.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
8389.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
8375.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
8322.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
8130.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
8095.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
7976.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
7898.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
7856.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
7827.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
7786.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
7616.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
7430.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
7380.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
7290.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
7137.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
7114.1
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
7113.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
7112.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
7087.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
7059.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
7033.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
7006.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
6986.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
6982.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
6946.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
6921.8
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
6907.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
6880.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
6875.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
6710.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
6623.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
6579.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
6509.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
6450.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
6422.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
6400.7
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
6322.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
6273.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
6167.9
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
6164.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
6026.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
5998.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
5985.6
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
5957.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
5936.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
5928.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
5920.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
5864.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
5852.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
5783.2
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
5542.3
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
5449.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
5402.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
5309.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
5295.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
5245.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5218.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
5178.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
5131.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
5125.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
5057.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
5054.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
5048.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
5022.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
4998.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4947.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4909.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
4859.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
4852.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
4846.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
4845.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
4817.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
4811.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
4664.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
4516.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4475.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
4443.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
4397.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
4298.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
4263.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4262.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4254.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
4145.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
4124.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
4102.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
4083.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
4079.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
4078.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
4066.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4011.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
4002.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3998.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3986.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
3951.5
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3865.2
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3848.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3840.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3728.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3614.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3607.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3603.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
3599.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
3588.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3570.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3550.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3531.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3488.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
3465.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3410.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3371.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3319.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3264.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3253.4
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
3189.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3183.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2865.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2785.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2770.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2709.5
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2670.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
2617.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2603.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2592.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2585.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2567.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
2499.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
2472.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2267.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2160.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2126.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2117.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
2055.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2034.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1996.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1964.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1899.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1749.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1691.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1481.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1477.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1442.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1422.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1294.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1273.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1261.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1231.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1195.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1174.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1168.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1136.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1093.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
945.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
774.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
759.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
721.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
691.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
629.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
567.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
566.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
519.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
405.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
376.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
363.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
362.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
361.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
349.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
336.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
325.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
316.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
195.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
129.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
104.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
99.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
97.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
47.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
44.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
27.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
20.4
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
17.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
17.6
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
17.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
14.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
12.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
12.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
10.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
8.4
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
6.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
6.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
APOA1 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.
: 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
11828.5
Number of samples
231
Samples
Sample
Description
pTPM
DO23532
71 years, female, NA, stage:1, alive, 960 days
94471.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
81149.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
65754.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
58809.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
51464.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
46035.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
39033.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
36206.9
DO50813
56 years, male, NA, stage:2, alive, 420 days
35385.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
34732.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
34347.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
32985.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
32800.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
32710.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
32096.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
31796.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
31727.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
31508.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
29980.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
28080.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
27690.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
26261.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
25538.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
24467.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
24263.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
24201.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
23909.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
23767.4
DO45127
73 years, male, NA, stage:3, dead, 420 days
23645.5
DO45265
73 years, male, NA, stage:3, alive, 1020 days
23480.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
23233.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
23105.4
DO23515
71 years, male, NA, stage:2, alive, 1230 days
23104.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
22832.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
22664.5
DO50850
74 years, male, NA, stage:3, alive, 720 days
22032.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
21783.4
DO50844
75 years, male, NA, stage:4, alive, 300 days
21731.8
DO23546
63 years, male, NA, stage:2, alive, 1050 days
21712.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
20720.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
20027.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
19791.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
19782.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
19268.4
DO48712
50 years, male, NA, stage:2, alive, 810 days
19152.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
19151.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
19119.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
19006.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
18996.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
18991.6
DO48727
81 years, female, NA, stage:2, dead, 390 days
18860.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
18817.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
17787.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
17657.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
16800.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
16682.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
16252.0
DO23552
80 years, female, NA, stage:1, alive, 810 days
16085.4
DO45189
85 years, female, NA, stage:2, alive, 1200 days
15757.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
15652.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
15573.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
15545.2
DO45233
83 years, male, NA, stage:3, alive, 900 days
15171.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
15159.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
14896.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
14719.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
14609.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
14504.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
14359.0
DO50817
75 years, male, NA, stage:2, alive, 390 days
14297.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
14277.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
13727.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
13441.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
13360.7
DO45231
84 years, male, NA, stage:2, alive, 930 days
13237.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
13046.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
13033.9
DO45121
61 years, male, NA, stage:3, alive, 1530 days
12946.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
12709.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
12700.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
12300.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
12025.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
11470.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
11323.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
11048.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
10991.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
10943.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
10900.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
10713.1
DO48733
72 years, male, NA, stage:2, alive, 600 days
10580.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
10496.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
10254.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
10204.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
10152.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
10083.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
9973.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
9959.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
9867.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
9750.3
DO50803
62 years, female, NA, stage:1, alive, 540 days
9565.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
9556.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
9509.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
9455.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
9446.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
9420.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
9012.2
DO50774
68 years, female, NA, stage:2, alive, 720 days
8951.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
8873.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
8847.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
8817.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
8774.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
8660.4
DO48681
57 years, male, NA, stage:2, alive, 900 days
8603.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
8525.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
8523.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
8491.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
8449.6
DO45235
68 years, female, NA, stage:1, alive, 900 days
8448.2
DO48728
74 years, female, NA, stage:2, alive, 150 days
8414.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
8343.5
DO50816
63 years, male, NA, stage:2, alive, 390 days
8286.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
8175.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
7912.8
DO48717
54 years, male, NA, stage:4, dead, 180 days
7843.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
7759.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
7665.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
7636.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
7312.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
7208.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
6882.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
6693.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
6595.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
6576.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
6433.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
6180.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
6138.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
6053.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
6018.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
5997.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
5966.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
5960.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
5956.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
5948.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
5922.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
5809.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
5757.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
5735.4
DO50787
63 years, male, NA, stage:3, alive, 480 days
5688.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
5628.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
5599.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
5388.9
DO45259
65 years, male, NA, stage:3, alive, 330 days
4988.0
DO45165
75 years, male, NA, stage:2, alive, 690 days
4980.3
DO45237
58 years, male, NA, stage:2, alive, 900 days
4865.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
4558.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
4444.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
4400.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
4344.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
4309.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
4293.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
4190.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
4051.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
4051.2
DO45153
77 years, female, NA, stage:2, alive, 1380 days
4039.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
4028.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
3992.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3895.0
DO23509
60 years, male, NA, stage:3, dead, 780 days
3846.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3843.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
3790.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3687.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3364.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3241.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
3237.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
3197.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
3181.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
3136.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3067.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
2995.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
2982.2
DO48706
72 years, male, NA, stage:2, alive, 870 days
2962.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
2826.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
2769.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2733.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
2499.9
DO45253
50 years, male, NA, stage:2, alive, 870 days
2410.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
2340.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
2280.2
DO50811
62 years, male, NA, stage:1, alive, 450 days
2234.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
2185.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
2097.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
2043.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
1850.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
1638.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
1583.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1515.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1415.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1303.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
1194.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
1153.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1145.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
974.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
828.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
785.2
DO23513
76 years, male, NA, stage:3, alive, 1200 days
685.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
665.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
657.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
567.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
546.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
524.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
501.3
DO23549
74 years, male, NA, stage:3, alive, 990 days
381.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
350.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
261.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
174.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
160.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
154.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
86.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
67.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
48.6
DO45245
75 years, female, NA, stage:2, dead, 240 days
44.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
41.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
17.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
9.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
9.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
5.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
5.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
5.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
4.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
4.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
1.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.1
343
Tumor
1.6
192
Normal
1.4
224
Normal
1.4
671
Tumor
1.4
815
Tumor
1.2
713
Tumor
1.2
863
Tumor
1.1
785
Tumor
1.0
354
Normal
0.9
391
Tumor
0.9
722
Normal
0.9
444
Normal
0.8
1022
Normal
0.8
1045
Tumor
0.8
131
Tumor
0.8
384
Normal
0.7
517
Tumor
0.7
1042
Normal
0.7
746
Normal
0.7
868
Normal
0.7
744
Normal
0.7
618
Normal
0.7
665
Tumor
0.7
672
Normal
0.7
328
Normal
0.6
921
Tumor
0.6
723
Tumor
0.6
884
Normal
0.6
817
Tumor
0.6
967
Tumor
0.6
491
Tumor
0.6
697
Tumor
0.6
365
Tumor
0.6
615
Tumor
0.6
488
Normal
0.6
283
Tumor
0.6
563
Tumor
0.6
364
Normal
0.6
958
Normal
0.6
142
Normal
0.6
924
Normal
0.5
616
Normal
0.5
474
Normal
0.5
917
Tumor
0.5
478
Normal
0.5
353
Tumor
0.5
1032
Normal
0.5
968
Normal
0.5
864
Normal
0.5
546
Normal
0.5
342
Normal
0.5
564
Normal
0.5
146
Normal
0.5
938
Normal
0.4
424
Normal
0.4
126
Normal
0.4
881
Tumor
0.4
922
Normal
0.4
743
Tumor
0.4
368
Normal
0.4
494
Normal
0.4
862
Normal
0.4
648
Normal
0.4
223
Tumor
0.4
466
Normal
0.4
311
Tumor
0.4
188
Normal
0.4
728
Normal
0.4
366
Normal
0.4
572
Normal
0.4
737
Tumor
0.4
852
Normal
0.4
918
Normal
0.4
425
Tumor
0.4
816
Normal
0.4
228
Normal
0.3
964
Normal
0.3
818
Normal
0.3
617
Tumor
0.3
1044
Normal
0.3
956
Normal
0.3
721
Tumor
0.3
186
Normal
0.3
916
Normal
0.3
344
Normal
0.3
128
Normal
0.3
375
Tumor
0.3
738
Normal
0.3
851
Tumor
0.3
312
Normal
0.3
982
Normal
0.3
857
Tumor
0.3
574
Normal
0.3
716
Normal
0.3
535
Tumor
0.3
456
Normal
0.3
975
Tumor
0.3
362
Normal
0.3
327
Tumor
0.3
125
Tumor
0.3
367
Tumor
0.3
1014
Normal
0.3
966
Normal
0.3
221
Tumor
0.3
824
Normal
0.3
214
Normal
0.2
878
Normal
0.2
172
Normal
0.2
1046
Normal
0.2
138
Normal
0.2
297
Tumor
0.2
866
Normal
0.2
426
Normal
0.2
568
Normal
0.2
464
Normal
0.2
232
Normal
0.2
132
Normal
0.2
516
Normal
0.2
534
Normal
0.2
386
Normal
0.2
558
Normal
0.2
976
Normal
0.2
518
Normal
0.2
356
Normal
0.2
756
Normal
0.2
858
Normal
0.2
874
Normal
0.2
196
Normal
0.2
914
Normal
0.2
1041
Tumor
0.2
882
Normal
0.2
447
Tumor
0.2
912
Normal
0.2
472
Normal
0.2
514
Normal
0.2
213
Tumor
0.2
1028
Normal
0.2
448
Normal
0.2
536
Normal
0.2
195
Tumor
0.2
396
Normal
0.1
545
Tumor
0.1
696
Normal
0.1
135
Tumor
0.1
358
Normal
0.1
341
Tumor
0.1
468
Normal
0.1
462
Normal
0.1
314
Normal
0.1
627
Tumor
0.1
636
Normal
0.1
492
Normal
0.1
1026
Normal
0.1
573
Tumor
0.1
662
Normal
0.1
428
Normal
0.1
455
Tumor
0.1
363
Tumor
0.1
695
Tumor
0.1
724
Normal
0.1
261
Tumor
0.1
666
Normal
0.1
434
Normal
0.1
1016
Normal
0.1
361
Tumor
0.1
983
Tumor
0.1
388
Normal
0.1
136
Normal
0.1
148
Normal
0.1
481
Tumor
0.1
686
Normal
0.1
145
Tumor
0.1
498
Normal
0.1
714
Normal
0.1
212
Normal
0.1
965
Tumor
0.1
114
Normal
0.1
217
Tumor
0.1
944
Normal
0.1
222
Normal
0.0
187
Tumor
0.0
191
Tumor
0.0
385
Tumor
0.0
185
Tumor
0.0
432
Normal
0.0
926
Normal
0.0
272
Normal
0.0
284
Normal
0.0
278
Normal
0.0
642
Normal
0.0
553
Tumor
0.0
641
Tumor
0.0
352
Normal
0.0
867
Tumor
0.0
1043
Tumor
0.0
954
Normal
0.0
664
Normal
0.0
647
Tumor
0.0
628
Normal
0.0
111
Normal
0.0
745
Tumor
0.0
526
Normal
0.0
952
Normal
0.0
383
Tumor
0.0
915
Tumor
0.0
376
Normal
0.0
538
Normal
0.0
698
Normal
0.0
463
Tumor
0.0
433
Tumor
0.0
823
Tumor
-0.1
663
Tumor
-0.1
471
Tumor
-0.1
395
Tumor
-0.1
984
Normal
-0.1
461
Tumor
-0.1
685
Tumor
-0.1
484
Normal
-0.1
162
Normal
-0.1
141
Tumor
-0.1
742
Normal
-0.1
268
Normal
-0.1
423
Tumor
-0.1
482
Normal
-0.1
298
Normal
-0.1
786
Normal
-0.1
963
Tumor
-0.1
414
Normal
-0.1
715
Tumor
-0.1
392
Normal
-0.1
978
Normal
-0.1
571
Tumor
-0.1
227
Tumor
-0.1
286
Normal
-0.1
421
Tumor
-0.1
351
Tumor
-0.1
258
Normal
-0.1
416
Normal
-0.2
873
Tumor
-0.2
271
Tumor
-0.2
452
Normal
-0.2
127
Tumor
-0.2
487
Tumor
-0.2
923
Tumor
-0.2
332
Normal
-0.2
262
Normal
-0.2
218
Normal
-0.2
422
Normal
-0.2
861
Tumor
-0.2
528
Normal
-0.2
412
Normal
-0.2
394
Normal
-0.2
955
Tumor
-0.2
1025
Tumor
-0.2
137
Tumor
-0.2
124
Normal
-0.2
913
Tumor
-0.2
813
Tumor
-0.2
446
Normal
-0.3
778
Normal
-0.3
513
Tumor
-0.3
477
Tumor
-0.3
515
Tumor
-0.3
467
Tumor
-0.3
465
Tumor
-0.3
1031
Tumor
-0.3
635
Tumor
-0.3
277
Tumor
-0.3
981
Tumor
-0.3
727
Tumor
-0.3
755
Tumor
-0.3
1015
Tumor
-0.3
951
Tumor
-0.3
331
Tumor
-0.3
911
Tumor
-0.3
567
Tumor
-0.3
393
Tumor
-0.3
285
Tumor
-0.4
436
Normal
-0.4
1021
Tumor
-0.4
937
Tumor
-0.4
431
Tumor
-0.4
554
Normal
-0.4
493
Tumor
-0.4
883
Tumor
-0.4
741
Tumor
-0.4
415
Tumor
-0.4
977
Tumor
-0.4
147
Tumor
-0.4
171
Tumor
-0.5
523
Tumor
-0.5
865
Tumor
-0.5
483
Tumor
-0.5
355
Tumor
-0.5
814
Normal
-0.5
524
Normal
-0.5
113
Tumor
-0.5
387
Tumor
-0.6
943
Tumor
-0.6
435
Tumor
-0.6
112
Tumor
-0.6
527
Tumor
-0.6
497
Tumor
-0.6
661
Tumor
-0.6
1013
Tumor
-0.6
313
Tumor
-0.7
925
Tumor
-0.7
525
Tumor
-0.7
777
Tumor
-0.7
413
Tumor
-0.7
231
Tumor
-0.7
557
Tumor
-0.7
211
Tumor
-0.8
537
Tumor
-0.8
953
Tumor
-0.8
267
Tumor
-0.8
473
Tumor
-0.8
533
Tumor
-0.8
161
Tumor
-0.9
957
Tumor
-0.9
1027
Tumor
-0.9
357
Tumor
-0.9
427
Tumor
-0.9
443
Tumor
-0.9
451
Tumor
-0.9
445
Tumor
-1.0
411
Tumor
-1.0
123
Tumor
-1.0
257
Tumor
-1.1
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.
The Human Protein Atlas project is funded
