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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.
VTN is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
4074.6
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
11950.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
10344.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
9760.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
9469.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
9467.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
9286.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
9210.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
9080.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
8835.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
8823.0
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
8759.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
8748.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
8723.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
8657.8
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
8655.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
8328.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
8263.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
8258.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
8231.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
7802.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7708.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
7685.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
7667.5
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
7645.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
7640.9
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
7592.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
7592.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
7570.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
7562.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
7531.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
7523.5
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
7476.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
7455.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
7302.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
7291.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
7230.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
7213.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
7193.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
7176.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
7161.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
7121.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
7086.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
7067.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
6959.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
6924.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
6886.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
6778.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
6736.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
6692.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
6686.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
6545.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
6530.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
6455.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
6449.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
6443.7
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
6435.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
6422.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
6412.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
6399.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
6365.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
6348.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
6330.5
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
6316.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
6307.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
6195.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
6169.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
6137.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
6111.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
6108.6
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
6079.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
6029.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
6003.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
5998.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
5976.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
5972.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
5971.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
5967.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
5926.6
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
5896.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
5845.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5831.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
5824.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
5821.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
5768.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
5733.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
5709.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
5708.7
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
5704.4
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
5683.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
5639.6
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
5626.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
5609.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
5577.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
5534.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
5507.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
5458.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
5453.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
5443.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
5433.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
5361.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
5341.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
5310.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5309.3
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
5308.8
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
5267.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
5218.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
5123.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
5119.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
5104.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
5067.5
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
5062.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
5000.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4976.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
4963.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4951.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
4934.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
4880.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4875.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
4857.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
4839.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
4820.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
4811.3
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
4798.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
4751.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
4719.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
4713.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
4707.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
4696.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
4666.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
4643.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
4638.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
4630.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
4601.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
4561.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4546.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
4534.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
4525.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4513.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
4487.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
4468.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
4427.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4427.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4406.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
4402.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
4373.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
4347.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
4335.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4334.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
4318.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
4297.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4288.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4278.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
4275.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
4263.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4258.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
4222.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
4210.3
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4198.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
4148.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
4147.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
4145.7
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
4139.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
4135.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
4087.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4076.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
4072.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
4056.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4047.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
4036.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
4026.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
4018.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
4013.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
4004.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3966.0
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
3964.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
3954.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
3908.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3903.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3902.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
3887.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
3874.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3856.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3817.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
3812.6
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3794.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
3700.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
3700.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
3693.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
3657.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3648.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
3647.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3641.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
3623.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3617.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
3605.6
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3583.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3576.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
3526.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3518.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
3489.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3470.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
3469.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
3462.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
3459.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3447.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3435.8
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
3421.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3393.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3390.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3354.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
3353.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3338.3
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
3335.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
3302.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
3300.8
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3294.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3292.1
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
3283.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
3272.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
3267.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
3244.0
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3222.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3220.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3219.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3207.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
3189.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
3181.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3178.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3174.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3168.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
3157.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3147.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3109.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3060.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2989.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2974.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2968.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
2932.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2927.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2924.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2910.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2895.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2882.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2880.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2839.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2801.5
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
2792.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2786.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2782.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2780.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
2751.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2735.1
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
2728.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2683.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2675.7
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2658.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
2641.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
2609.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2597.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2582.5
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2574.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2562.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2559.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
2553.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2538.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2537.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2526.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2510.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2489.8
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2473.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2412.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2409.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2377.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2369.2
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2367.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
2364.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2358.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2346.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2346.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2339.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2338.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2330.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2310.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2273.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2256.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
2247.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2239.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2236.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2223.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2216.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2197.6
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2192.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
2175.6
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2174.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2130.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2084.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1986.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1954.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
1910.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1892.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1840.3
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1829.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1819.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
1800.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
1782.8
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1755.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1754.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1750.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1745.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1709.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1699.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1694.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1679.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1637.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1545.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1534.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1512.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
1474.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1441.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
1434.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1434.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1431.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1425.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1388.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1363.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1337.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1282.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1254.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1245.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1189.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1189.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1168.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1002.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
975.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
954.5
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
904.5
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
894.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
877.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
843.7
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
789.8
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
760.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
719.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
712.6
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
706.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
702.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
695.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
684.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
623.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
607.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
578.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
562.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
540.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
510.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
427.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
386.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
326.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
261.7
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
221.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
190.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
9.7
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2.8
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.
VTN is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2989.4
Number of samples
231
Samples
Sample
Description
TPM
DO50855
47 years, male, NA, stage:2, alive, 570 days
7688.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
7599.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
7268.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
7004.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
6916.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
6866.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
6821.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
6171.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
5916.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
5855.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
5626.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
5575.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5506.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
5491.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
5445.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
5415.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
5320.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
5200.3
DO48760
70 years, female, NA, stage:2, alive, 690 days
5139.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
5052.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
5009.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
4887.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
4883.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
4872.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
4864.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
4850.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
4828.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4747.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
4714.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
4686.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
4676.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
4652.4
DO50825
70 years, male, NA, stage:2, alive, 390 days
4628.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
4613.3
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4589.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
4587.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
4576.7
DO45179
78 years, female, NA, stage:2, alive, 600 days
4561.1
DO50819
72 years, female, NA, stage:2, alive, 510 days
4558.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
4558.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
4548.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
4507.4
DO45213
58 years, male, NA, stage:1, alive, 1200 days
4420.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
4395.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
4370.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
4362.0
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4358.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4346.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
4310.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
4278.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
4272.4
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4259.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
4256.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
4237.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
4234.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
4184.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
4165.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
4158.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
4149.0
DO45115
81 years, male, NA, stage:2, alive, 840 days
4119.1
DO48721
58 years, female, NA, stage:1, alive, 900 days
4103.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
4093.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
4063.6
DO45273
62 years, male, NA, stage:2, alive, 480 days
4048.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
4023.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
3960.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3936.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
3871.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
3850.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
3764.1
DO50805
72 years, male, NA, stage:2, alive, 690 days
3751.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
3708.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
3675.2
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3650.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
3640.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3640.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
3609.7
DO48741
64 years, male, NA, stage:3, alive, 240 days
3591.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
3568.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
3547.2
DO48733
72 years, male, NA, stage:2, alive, 600 days
3521.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
3504.5
DO45255
81 years, male, NA, stage:3, alive, 720 days
3475.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
3460.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
3444.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
3438.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
3390.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
3382.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
3378.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
3337.7
DO45257
46 years, male, NA, stage:3, alive, 810 days
3335.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
3317.9
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3270.9
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3262.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
3241.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
3239.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
3236.2
DO50816
63 years, male, NA, stage:2, alive, 390 days
3219.0
DO45231
84 years, male, NA, stage:2, alive, 930 days
3200.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3196.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3195.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
3183.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
3179.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
3141.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
3128.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
3079.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
3070.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
3052.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
3028.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2989.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
2987.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
2979.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
2970.6
DO23545
67 years, male, NA, stage:2, dead, 570 days
2960.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
2956.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2955.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2948.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
2925.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
2882.1
DO23510
80 years, female, NA, stage:2, alive, 870 days
2878.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
2856.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
2846.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
2842.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
2801.0
DO45093
71 years, male, NA, stage:2, dead, 720 days
2791.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
2781.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
2779.4
DO50793
76 years, male, NA, stage:4, alive, 540 days
2761.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2757.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
2744.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
2739.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2732.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2722.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2711.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
2704.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
2676.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
2668.0
DO48759
73 years, male, NA, stage:3, alive, 720 days
2652.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
2614.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2611.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2611.4
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2601.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
2580.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
2564.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2548.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2545.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
2537.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
2429.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
2420.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2412.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
2405.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
2404.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2381.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2337.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
2328.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
2319.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
2298.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
2285.2
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2264.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
2231.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
2211.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
2189.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2153.0
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2153.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
2138.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2125.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2125.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
2093.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
2039.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2036.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
2024.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
2003.6
DO45133
64 years, male, NA, stage:3, dead, 660 days
1987.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
1947.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1932.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1916.3
DO50808
68 years, male, NA, stage:2, alive, 570 days
1907.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
1906.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1854.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
1853.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
1832.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
1779.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
1708.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1673.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
1626.3
DO48730
73 years, female, NA, stage:2, alive, 630 days
1620.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
1555.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
1450.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
1404.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
1401.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
1303.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1296.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
1249.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
1193.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
1177.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
1169.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
1114.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1067.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1026.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
1005.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
983.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
974.2
DO50815
62 years, male, NA, stage:3, alive, 150 days
967.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
902.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
878.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
878.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
788.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
774.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
753.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
697.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
605.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
560.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
527.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
474.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
397.7
DO45305
66 years, male, NA, stage:4, alive, 300 days
356.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
329.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
326.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
298.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
294.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
164.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
139.4
DO45297
61 years, female, NA, stage:4, dead, 1260 days
90.6
DO48747
62 years, male, NA, stage:3, alive, 540 days
67.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
65.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
63.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
12.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
7.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
6.9
DO23523
52 years, male, NA, stage:3, alive, 1080 days
4.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.0
425
Tumor
1.6
343
Tumor
1.3
463
Tumor
1.2
671
Tumor
1.2
192
Normal
1.1
125
Tumor
1.1
635
Tumor
1.0
815
Tumor
1.0
863
Tumor
0.9
355
Tumor
0.8
527
Tumor
0.8
277
Tumor
0.8
131
Tumor
0.8
743
Tumor
0.6
813
Tumor
0.6
217
Tumor
0.6
647
Tumor
0.6
697
Tumor
0.6
445
Tumor
0.6
975
Tumor
0.5
375
Tumor
0.5
224
Normal
0.5
455
Tumor
0.5
185
Tumor
0.4
471
Tumor
0.4
715
Tumor
0.4
271
Tumor
0.4
742
Normal
0.4
1044
Normal
0.4
223
Tumor
0.4
883
Tumor
0.4
862
Normal
0.4
413
Tumor
0.4
186
Normal
0.4
745
Tumor
0.3
823
Tumor
0.3
227
Tumor
0.3
983
Tumor
0.3
777
Tumor
0.3
124
Normal
0.3
342
Normal
0.3
394
Normal
0.3
744
Normal
0.3
817
Tumor
0.3
921
Tumor
0.3
881
Tumor
0.3
958
Normal
0.3
523
Tumor
0.2
393
Tumor
0.2
218
Normal
0.2
443
Tumor
0.2
392
Normal
0.2
814
Normal
0.2
545
Tumor
0.2
354
Normal
0.2
137
Tumor
0.2
357
Tumor
0.2
391
Tumor
0.2
976
Normal
0.2
421
Tumor
0.2
517
Tumor
0.2
452
Normal
0.2
741
Tumor
0.1
297
Tumor
0.1
465
Tumor
0.1
366
Normal
0.1
536
Normal
0.1
516
Normal
0.1
135
Tumor
0.1
433
Tumor
0.1
221
Tumor
0.1
146
Normal
0.1
363
Tumor
0.1
444
Normal
0.1
268
Normal
0.1
474
Normal
0.1
716
Normal
0.1
435
Tumor
0.1
431
Tumor
0.1
685
Tumor
0.1
922
Normal
0.1
384
Normal
0.1
162
Normal
0.1
461
Tumor
0.1
298
Normal
0.1
981
Tumor
0.1
713
Tumor
0.0
423
Tumor
0.0
533
Tumor
0.0
386
Normal
0.0
365
Tumor
0.0
462
Normal
0.0
388
Normal
0.0
368
Normal
0.0
663
Tumor
0.0
187
Tumor
0.0
214
Normal
0.0
977
Tumor
0.0
284
Normal
0.0
422
Normal
0.0
938
Normal
0.0
574
Normal
0.0
466
Normal
0.0
126
Normal
0.0
352
Normal
0.0
672
Normal
0.0
344
Normal
0.0
111
Normal
0.0
636
Normal
0.0
524
Normal
0.0
138
Normal
-0.1
746
Normal
-0.1
426
Normal
-0.1
494
Normal
-0.1
385
Tumor
-0.1
383
Tumor
-0.1
738
Normal
-0.1
142
Normal
-0.1
414
Normal
-0.1
395
Tumor
-0.1
497
Tumor
-0.1
641
Tumor
-0.1
1026
Normal
-0.1
328
Normal
-0.1
332
Normal
-0.1
171
Tumor
-0.1
161
Tumor
-0.1
428
Normal
-0.1
222
Normal
-0.1
914
Normal
-0.1
434
Normal
-0.1
331
Tumor
-0.1
816
Normal
-0.1
213
Tumor
-0.1
852
Normal
-0.1
196
Normal
-0.1
963
Tumor
-0.1
818
Normal
-0.1
362
Normal
-0.1
228
Normal
-0.1
424
Normal
-0.1
695
Tumor
-0.1
1045
Tumor
-0.1
968
Normal
-0.1
1022
Normal
-0.1
191
Tumor
-0.1
447
Tumor
-0.1
172
Normal
-0.1
132
Normal
-0.1
515
Tumor
-0.2
698
Normal
-0.2
918
Normal
-0.2
778
Normal
-0.2
351
Tumor
-0.2
141
Tumor
-0.2
361
Tumor
-0.2
195
Tumor
-0.2
864
Normal
-0.2
1021
Tumor
-0.2
358
Normal
-0.2
262
Normal
-0.2
472
Normal
-0.2
618
Normal
-0.2
261
Tumor
-0.2
492
Normal
-0.2
148
Normal
-0.2
662
Normal
-0.2
482
Normal
-0.2
1028
Normal
-0.2
468
Normal
-0.2
723
Tumor
-0.2
535
Tumor
-0.2
498
Normal
-0.2
188
Normal
-0.2
285
Tumor
-0.2
538
Normal
-0.2
313
Tumor
-0.2
664
Normal
-0.2
283
Tumor
-0.2
448
Normal
-0.2
851
Tumor
-0.2
558
Normal
-0.2
396
Normal
-0.2
882
Normal
-0.2
484
Normal
-0.2
147
Tumor
-0.2
113
Tumor
-0.2
785
Tumor
-0.2
868
Normal
-0.2
884
Normal
-0.2
1015
Tumor
-0.2
573
Tumor
-0.2
727
Tumor
-0.2
456
Normal
-0.2
272
Normal
-0.3
286
Normal
-0.3
136
Normal
-0.3
518
Normal
-0.3
232
Normal
-0.3
114
Normal
-0.3
432
Normal
-0.3
642
Normal
-0.3
464
Normal
-0.3
212
Normal
-0.3
446
Normal
-0.3
312
Normal
-0.3
648
Normal
-0.3
436
Normal
-0.3
376
Normal
-0.3
982
Normal
-0.3
665
Tumor
-0.3
353
Tumor
-0.3
483
Tumor
-0.3
314
Normal
-0.3
477
Tumor
-0.3
951
Tumor
-0.3
917
Tumor
-0.3
954
Normal
-0.3
564
Normal
-0.3
367
Tumor
-0.3
488
Normal
-0.3
411
Tumor
-0.3
128
Normal
-0.3
966
Normal
-0.3
387
Tumor
-0.3
478
Normal
-0.3
145
Tumor
-0.3
956
Normal
-0.3
964
Normal
-0.3
572
Normal
-0.3
666
Normal
-0.3
526
Normal
-0.3
1046
Normal
-0.3
278
Normal
-0.3
412
Normal
-0.3
615
Tumor
-0.3
858
Normal
-0.4
364
Normal
-0.4
258
Normal
-0.4
616
Normal
-0.4
528
Normal
-0.4
728
Normal
-0.4
937
Tumor
-0.4
926
Normal
-0.4
341
Tumor
-0.4
1016
Normal
-0.4
866
Normal
-0.4
553
Tumor
-0.4
1025
Tumor
-0.4
112
Tumor
-0.4
878
Normal
-0.4
943
Tumor
-0.4
857
Tumor
-0.4
874
Normal
-0.4
628
Normal
-0.4
571
Tumor
-0.4
311
Tumor
-0.4
356
Normal
-0.4
554
Normal
-0.4
952
Normal
-0.4
1042
Normal
-0.4
967
Tumor
-0.4
923
Tumor
-0.4
978
Normal
-0.4
568
Normal
-0.4
534
Normal
-0.4
686
Normal
-0.5
916
Normal
-0.5
627
Tumor
-0.5
912
Normal
-0.5
514
Normal
-0.5
873
Tumor
-0.5
567
Tumor
-0.5
786
Normal
-0.5
563
Tumor
-0.5
546
Normal
-0.5
416
Normal
-0.5
557
Tumor
-0.5
696
Normal
-0.5
737
Tumor
-0.5
415
Tumor
-0.5
491
Tumor
-0.5
722
Normal
-0.5
1043
Tumor
-0.5
1032
Normal
-0.5
617
Tumor
-0.5
127
Tumor
-0.5
924
Normal
-0.5
487
Tumor
-0.5
756
Normal
-0.5
944
Normal
-0.6
1013
Tumor
-0.6
865
Tumor
-0.6
481
Tumor
-0.6
824
Normal
-0.6
984
Normal
-0.6
714
Normal
-0.6
467
Tumor
-0.6
1014
Normal
-0.6
913
Tumor
-0.6
327
Tumor
-0.6
427
Tumor
-0.6
513
Tumor
-0.6
955
Tumor
-0.6
123
Tumor
-0.7
267
Tumor
-0.7
661
Tumor
-0.7
493
Tumor
-0.7
861
Tumor
-0.7
1027
Tumor
-0.7
525
Tumor
-0.7
867
Tumor
-0.7
257
Tumor
-0.7
953
Tumor
-0.7
1031
Tumor
-0.8
721
Tumor
-0.8
755
Tumor
-0.8
231
Tumor
-0.8
1041
Tumor
-0.8
965
Tumor
-0.8
915
Tumor
-0.8
911
Tumor
-0.8
473
Tumor
-0.9
724
Normal
-0.9
451
Tumor
-0.9
925
Tumor
-1.0
211
Tumor
-1.1
957
Tumor
-1.1
537
Tumor
-1.3
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.