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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APOC3 is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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.
0.00031
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.
52%
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.
37%
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
10110.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
48256.3
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
43870.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
40674.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
37360.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
33246.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
32734.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
32490.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
32364.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
32239.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
30453.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
30060.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
29213.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
29104.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
28480.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
27325.6
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
27273.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
27220.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
27155.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
26622.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
26386.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
25630.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
24989.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
24511.7
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
24343.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
24079.4
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
23770.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
23701.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
23601.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
23515.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
22852.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
22436.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
22290.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
22035.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
21915.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
21467.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
21199.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
20816.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
20765.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
20685.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
20605.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
20094.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
20001.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
19989.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
19697.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
19161.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
19023.4
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
18800.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
18528.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
18522.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
18219.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
18105.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
17803.9
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
17754.6
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
17723.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
17693.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
17595.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
17470.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
17281.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
17192.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
17168.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
17138.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
17042.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
16633.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
16482.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
16402.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
16243.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
16052.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
15668.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
15630.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
15471.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
15464.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
15397.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
15346.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
15328.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
15268.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
15185.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
15181.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
15112.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
14948.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
14939.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
14815.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
14813.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
14666.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
14532.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
14358.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
14330.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
14174.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
14027.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
13997.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
13994.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
13950.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
13935.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
13770.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
13585.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
13553.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
13504.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
13390.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
13332.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
13322.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
13306.9
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
13100.7
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
12866.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
12853.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
12851.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
12674.7
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
12637.6
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
12627.1
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
12611.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
12610.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
12493.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
12353.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
12321.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
12278.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
12272.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
12242.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
12159.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
12027.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
12013.4
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
11925.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
11775.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
11719.4
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
11683.9
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
11324.2
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
11301.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
11234.5
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
11169.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
11163.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
11141.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
10971.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
10950.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
10944.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
10826.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
10791.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
10777.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
10751.8
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
10712.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
10683.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
10644.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
10612.1
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
10575.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
10569.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
10551.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
10475.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
10437.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
10420.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
10370.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
10343.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
10320.1
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
10314.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
10296.8
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
10262.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
10261.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
10220.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
10209.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
10097.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
10064.8
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
10048.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
10038.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
9935.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
9914.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
9816.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
9709.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
9642.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
9613.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
9465.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
9462.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
9343.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
9293.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
9170.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
9169.7
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
9100.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
9093.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
9087.2
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
9061.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
9034.5
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
8871.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
8789.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
8748.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
8645.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
8623.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
8621.0
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
8575.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
8561.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
8533.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
8509.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
8507.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
8400.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
8390.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
8383.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
8134.5
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
8123.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
8099.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
8017.7
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
7863.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
7859.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
7858.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
7855.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
7806.2
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
7690.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
7677.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
7613.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
7554.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
7551.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
7534.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
7492.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
7482.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
7473.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
7398.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
7377.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
7315.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
7272.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
7204.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
7165.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
7150.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
7109.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
7074.3
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
6870.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
6712.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
6542.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
6460.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
6376.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
6242.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
6046.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
6040.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5991.7
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
5926.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
5747.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
5727.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
5714.0
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
5694.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
5674.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
5672.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
5665.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
5661.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
5554.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
5539.8
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
5498.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
5497.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5451.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
5446.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5433.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5422.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
5405.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
5384.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
5346.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
5323.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5308.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
5204.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
5164.7
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
5159.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5130.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
5052.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4759.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4755.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
4751.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
4641.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
4639.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
4614.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
4534.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
4529.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
4521.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4503.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4472.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4425.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
4352.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
4321.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
4309.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
4299.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
4289.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
4237.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
4180.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
4140.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
4118.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4059.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
3998.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3954.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3865.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
3858.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
3753.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3728.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3706.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3646.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3645.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3631.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3610.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
3581.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3579.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
3533.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3515.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3499.6
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3467.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3441.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3419.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3217.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3205.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3172.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
3075.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
3023.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
2881.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2760.3
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2733.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2663.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2425.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2423.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2421.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2344.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2281.6
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2281.3
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2090.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2046.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
2033.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
2001.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1950.5
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1934.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
1929.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1836.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1822.5
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1626.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1614.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1604.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1547.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1534.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1515.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1437.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1394.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1362.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1268.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1237.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1203.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1148.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1055.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
992.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
978.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
967.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
877.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
852.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
816.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
797.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
571.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
563.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
495.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
484.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
475.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
412.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
403.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
388.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
380.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
275.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
121.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
38.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
29.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
19.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
17.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
17.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
16.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
15.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
12.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
7.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
6.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
5.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
4.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
APOC3 is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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.
0.00036
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
0%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
39%
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
6957.5
Number of samples
231
Samples
Sample
Description
TPM
DO23532
71 years, female, NA, stage:1, alive, 960 days
53138.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
41617.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
40363.0
DO45149
70 years, female, NA, stage:2, alive, 1260 days
33505.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
29659.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
28058.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
25640.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
25455.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
23944.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
23641.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
22616.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
22251.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
19856.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
19796.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
19680.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
18650.2
DO45096
69 years, male, NA, stage:2, dead, 1290 days
17614.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
17025.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
15678.4
DO23544
67 years, male, NA, stage:2, alive, 960 days
15567.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
15430.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
15370.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
15350.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
14822.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
14380.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
14335.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
14274.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
13872.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
13382.0
DO50774
68 years, female, NA, stage:2, alive, 720 days
13277.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
12853.2
DO45099
46 years, male, NA, stage:3, alive, 1590 days
12800.2
DO48760
70 years, female, NA, stage:2, alive, 690 days
12415.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
12106.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
12075.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
12011.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
11391.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
11305.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
11140.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
10979.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
10889.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
10887.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
10748.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
10714.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
10570.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
10491.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
10394.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
10236.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
10184.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
10105.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
9588.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
9449.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
9425.3
DO45241
49 years, male, NA, stage:1, alive, 1080 days
9406.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
9346.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
9326.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
9081.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
9076.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
9061.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
9043.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
9017.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
8978.8
DO23509
60 years, male, NA, stage:3, dead, 780 days
8789.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
8670.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
8654.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
8649.1
DO45137
38 years, male, NA, stage:1, alive, 1320 days
8427.6
DO23538
67 years, male, NA, stage:2, alive, 450 days
8224.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
8115.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
7954.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
7881.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
7838.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
7835.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
7656.8
DO50800
74 years, male, NA, stage:2, alive, 510 days
7654.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
7577.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
7408.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
7405.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
7394.8
DO23552
80 years, female, NA, stage:1, alive, 810 days
7297.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
7220.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
7208.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
7029.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
7016.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
7003.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
6896.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
6885.2
DO45133
64 years, male, NA, stage:3, dead, 660 days
6763.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
6756.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
6563.8
DO23541
65 years, male, NA, stage:2, alive, 930 days
6531.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
6522.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
6500.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
6395.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
6309.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
6191.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
6098.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
6073.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
6063.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
6024.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
5984.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
5962.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
5888.0
DO48677
58 years, male, NA, stage:3, alive, 1140 days
5881.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
5806.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
5602.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
5585.3
DO48761
55 years, male, NA, stage:2, alive, 870 days
5575.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
5542.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
5537.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
5522.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
5513.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
5475.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
5426.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
5344.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
5341.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
5237.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
5231.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
5171.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
5164.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
5084.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
5028.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
4995.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
4958.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
4933.1
DO45113
58 years, male, NA, stage:3, alive, 1560 days
4896.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
4821.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
4796.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
4695.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
4674.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
4665.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
4561.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
4527.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
4518.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
4419.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
4383.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
4203.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
4137.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
4080.8
DO50805
72 years, male, NA, stage:2, alive, 690 days
4004.3
DO48681
57 years, male, NA, stage:2, alive, 900 days
3829.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3596.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3471.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
3420.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
3365.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3323.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
3315.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
3284.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
3240.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
3085.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2990.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
2925.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2885.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
2867.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2793.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2697.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
2695.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
2680.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
2678.7
DO45131
53 years, male, NA, stage:4, dead, 360 days
2629.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
2597.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
2580.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
2463.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
2395.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2365.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
2356.5
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2305.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
2284.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
2247.2
DO48730
73 years, female, NA, stage:2, alive, 630 days
2179.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2142.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2137.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
2106.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2105.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
2081.7
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1997.7
DO45273
62 years, male, NA, stage:2, alive, 480 days
1906.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
1885.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
1880.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1835.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
1782.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
1690.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1662.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
1560.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
1525.2
DO48723
73 years, male, NA, stage:1, alive, 600 days
1456.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
1403.7
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1385.5
DO48720
62 years, female, NA, stage:2, alive, 570 days
1371.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
1303.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
1186.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1138.6
DO45251
57 years, female, NA, stage:2, alive, 900 days
1038.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
993.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
926.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
832.6
DO45161
74 years, male, NA, stage:2, dead, 540 days
826.3
DO50844
75 years, male, NA, stage:4, alive, 300 days
794.0
DO45145
78 years, male, NA, stage:3, dead, 60 days
766.4
DO50822
66 years, male, NA, stage:2, alive, 510 days
758.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
657.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
640.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
596.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
540.8
DO45185
89 years, male, NA, stage:2, alive, 600 days
436.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
415.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
405.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
303.9
DO50829
78 years, male, NA, stage:3, alive, 570 days
262.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
223.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
160.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
73.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
66.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
61.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
49.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
40.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
29.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
28.8
DO23519
65 years, male, NA, stage:3, alive, 630 days
27.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
20.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
18.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
17.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
11.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
7.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
6.8
DO45297
61 years, female, NA, stage:4, dead, 1260 days
6.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
6.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
5.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
2.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
1.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
777
Tumor
1.9
863
Tumor
1.8
615
Tumor
1.4
647
Tumor
1.3
741
Tumor
1.3
435
Tumor
1.3
365
Tumor
1.2
423
Tumor
1.1
128
Normal
1.0
411
Tumor
1.0
465
Tumor
0.9
755
Tumor
0.9
393
Tumor
0.8
1027
Tumor
0.8
171
Tumor
0.7
147
Tumor
0.7
445
Tumor
0.7
616
Normal
0.7
327
Tumor
0.7
422
Normal
0.7
127
Tumor
0.7
461
Tumor
0.6
227
Tumor
0.6
564
Normal
0.6
627
Tumor
0.6
342
Normal
0.6
563
Tumor
0.6
341
Tumor
0.6
353
Tumor
0.6
742
Normal
0.6
222
Normal
0.6
141
Tumor
0.5
462
Normal
0.5
618
Normal
0.5
628
Normal
0.5
428
Normal
0.5
723
Tumor
0.5
356
Normal
0.5
314
Normal
0.5
882
Normal
0.5
361
Tumor
0.5
466
Normal
0.5
728
Normal
0.5
172
Normal
0.5
426
Normal
0.4
357
Tumor
0.4
738
Normal
0.4
436
Normal
0.4
464
Normal
0.4
277
Tumor
0.4
482
Normal
0.4
432
Normal
0.4
257
Tumor
0.4
354
Normal
0.4
358
Normal
0.4
572
Normal
0.4
515
Tumor
0.4
452
Normal
0.4
866
Normal
0.3
196
Normal
0.3
162
Normal
0.3
214
Normal
0.3
714
Normal
0.3
424
Normal
0.3
635
Tumor
0.3
878
Normal
0.3
161
Tumor
0.3
388
Normal
0.3
636
Normal
0.3
746
Normal
0.3
722
Normal
0.3
868
Normal
0.3
648
Normal
0.2
186
Normal
0.2
786
Normal
0.2
568
Normal
0.2
745
Tumor
0.2
913
Tumor
0.2
137
Tumor
0.2
185
Tumor
0.2
138
Normal
0.2
394
Normal
0.2
818
Normal
0.2
298
Normal
0.2
862
Normal
0.2
884
Normal
0.2
145
Tumor
0.2
744
Normal
0.2
352
Normal
0.2
136
Normal
0.2
672
Normal
0.2
874
Normal
0.2
431
Tumor
0.2
664
Normal
0.1
187
Tumor
0.1
468
Normal
0.1
864
Normal
0.1
571
Tumor
0.1
641
Tumor
0.1
914
Normal
0.1
111
Normal
0.1
278
Normal
0.1
414
Normal
0.1
921
Tumor
0.1
332
Normal
0.1
481
Tumor
0.1
416
Normal
0.1
376
Normal
0.1
114
Normal
0.1
816
Normal
0.1
1045
Tumor
0.1
982
Normal
0.1
231
Tumor
0.1
824
Normal
0.1
873
Tumor
0.1
1016
Normal
0.1
662
Normal
0.1
224
Normal
0.1
258
Normal
0.0
132
Normal
0.0
1022
Normal
0.0
392
Normal
0.0
642
Normal
0.0
146
Normal
0.0
513
Tumor
0.0
727
Tumor
0.0
148
Normal
0.0
867
Tumor
0.0
267
Tumor
0.0
188
Normal
0.0
362
Normal
0.0
126
Normal
0.0
558
Normal
0.0
232
Normal
0.0
666
Normal
0.0
698
Normal
0.0
663
Tumor
0.0
911
Tumor
0.0
142
Normal
0.0
487
Tumor
0.0
713
Tumor
0.0
851
Tumor
0.0
574
Normal
0.0
218
Normal
0.0
858
Normal
0.0
195
Tumor
0.0
366
Normal
-0.1
912
Normal
-0.1
328
Normal
-0.1
446
Normal
-0.1
312
Normal
-0.1
412
Normal
-0.1
123
Tumor
-0.1
272
Normal
-0.1
877
Tumor
-0.1
228
Normal
-0.1
271
Tumor
-0.1
721
Tumor
-0.1
368
Normal
-0.1
456
Normal
-0.1
756
Normal
-0.1
716
Normal
-0.1
494
Normal
-0.2
386
Normal
-0.2
286
Normal
-0.2
785
Tumor
-0.2
191
Tumor
-0.2
915
Tumor
-0.2
192
Normal
-0.2
124
Normal
-0.2
344
Normal
-0.2
1046
Normal
-0.2
448
Normal
-0.2
1032
Normal
-0.2
981
Tumor
-0.2
865
Tumor
-0.2
433
Tumor
-0.2
434
Normal
-0.2
474
Normal
-0.2
617
Tumor
-0.2
313
Tumor
-0.2
488
Normal
-0.2
1043
Tumor
-0.2
396
Normal
-0.2
472
Normal
-0.2
297
Tumor
-0.3
268
Normal
-0.3
384
Normal
-0.3
363
Tumor
-0.3
262
Normal
-0.3
1044
Normal
-0.3
778
Normal
-0.3
484
Normal
-0.3
221
Tumor
-0.3
1015
Tumor
-0.3
444
Normal
-0.3
984
Normal
-0.3
737
Tumor
-0.3
451
Tumor
-0.3
977
Tumor
-0.3
421
Tumor
-0.3
881
Tumor
-0.3
284
Normal
-0.3
528
Normal
-0.4
415
Tumor
-0.4
261
Tumor
-0.4
861
Tumor
-0.4
1026
Normal
-0.4
217
Tumor
-0.4
483
Tumor
-0.4
391
Tumor
-0.4
364
Normal
-0.4
883
Tumor
-0.4
1042
Normal
-0.4
427
Tumor
-0.4
686
Normal
-0.4
852
Normal
-0.4
956
Normal
-0.5
955
Tumor
-0.5
1025
Tumor
-0.5
112
Tumor
-0.5
557
Tumor
-0.5
1028
Normal
-0.5
534
Normal
-0.6
387
Tumor
-0.6
1014
Normal
-0.6
113
Tumor
-0.6
665
Tumor
-0.6
857
Tumor
-0.6
938
Normal
-0.6
498
Normal
-0.6
477
Tumor
-0.6
724
Normal
-0.6
455
Tumor
-0.6
1013
Tumor
-0.6
968
Normal
-0.6
695
Tumor
-0.7
976
Normal
-0.7
922
Normal
-0.7
978
Normal
-0.7
696
Normal
-0.7
514
Normal
-0.7
213
Tumor
-0.7
492
Normal
-0.7
523
Tumor
-0.7
1021
Tumor
-0.7
471
Tumor
-0.8
518
Normal
-0.8
1041
Tumor
-0.8
954
Normal
-0.8
425
Tumor
-0.8
952
Normal
-0.8
478
Normal
-0.8
964
Normal
-0.8
924
Normal
-0.8
526
Normal
-0.8
817
Tumor
-0.8
546
Normal
-0.9
516
Normal
-0.9
918
Normal
-0.9
1031
Tumor
-0.9
375
Tumor
-0.9
926
Normal
-1.0
351
Tumor
-1.0
395
Tumor
-1.0
958
Normal
-1.0
413
Tumor
-1.0
212
Normal
-1.0
533
Tumor
-1.0
573
Tumor
-1.0
447
Tumor
-1.0
813
Tumor
-1.0
343
Tumor
-1.0
443
Tumor
-1.0
223
Tumor
-1.0
463
Tumor
-1.0
814
Normal
-1.0
473
Tumor
-1.0
524
Normal
-1.1
925
Tumor
-1.1
567
Tumor
-1.1
554
Normal
-1.1
966
Normal
-1.1
467
Tumor
-1.1
553
Tumor
-1.1
944
Normal
-1.1
517
Tumor
-1.1
135
Tumor
-1.1
538
Normal
-1.2
493
Tumor
-1.2
916
Normal
-1.2
715
Tumor
-1.2
383
Tumor
-1.2
525
Tumor
-1.2
953
Tumor
-1.2
125
Tumor
-1.3
937
Tumor
-1.3
975
Tumor
-1.3
671
Tumor
-1.3
497
Tumor
-1.3
963
Tumor
-1.3
367
Tumor
-1.3
967
Tumor
-1.3
355
Tumor
-1.4
823
Tumor
-1.4
527
Tumor
-1.4
957
Tumor
-1.5
331
Tumor
-1.5
491
Tumor
-1.5
923
Tumor
-1.6
685
Tumor
-1.6
743
Tumor
-1.6
385
Tumor
-1.6
943
Tumor
-1.6
537
Tumor
-1.7
815
Tumor
-1.8
951
Tumor
-1.8
131
Tumor
-1.9
311
Tumor
-1.9
536
Normal
-1.9
697
Tumor
-2.0
285
Tumor
-2.0
965
Tumor
-2.0
917
Tumor
-2.1
983
Tumor
-2.2
545
Tumor
-2.2
283
Tumor
-2.3
535
Tumor
-2.5
661
Tumor
-2.5
211
Tumor
-2.7
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.