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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.
FGA is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
5313.9
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
24096.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
22426.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
22214.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
21772.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
19437.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
17503.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
17213.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
16324.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
15749.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
15370.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
14939.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
14140.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
13860.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
13486.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
13334.5
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
13312.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
13223.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
13088.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
13079.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
12865.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
12839.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
12205.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
12042.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
12008.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
11847.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
11810.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
11773.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
11544.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
11544.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
11536.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
11353.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
11198.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
11154.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
11108.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
11044.4
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
10921.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
10723.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
10557.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
10508.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
10488.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
10472.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
10439.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
10395.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
10251.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
10157.5
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
10113.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
10101.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
10090.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
9732.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
9475.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
9377.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
9371.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
9266.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
9150.1
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
9111.0
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
9093.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
8830.6
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
8715.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
8707.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
8612.7
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
8518.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
8491.0
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
8340.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
8290.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
8120.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
8114.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
8101.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
8053.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
8034.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
7922.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
7890.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
7863.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
7799.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
7765.2
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
7760.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
7709.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
7693.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
7692.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
7514.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
7488.9
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
7465.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
7452.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
7415.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
7365.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
7308.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
7268.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
7216.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
7190.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
7172.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
7171.1
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
7115.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
7074.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
7066.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
7059.1
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
7020.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
6961.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
6883.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
6878.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
6878.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
6875.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
6875.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
6749.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
6690.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
6634.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
6632.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
6577.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
6481.4
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
6478.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
6463.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
6441.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
6386.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
6269.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
6268.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
6174.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
6169.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
6162.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6138.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
6132.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
6109.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
6109.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
6108.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
6024.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
5993.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
5978.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
5938.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
5919.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
5899.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
5894.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
5888.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
5840.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
5833.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
5775.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
5762.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
5749.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5748.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
5738.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
5656.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
5547.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5528.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
5520.0
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
5501.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
5474.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
5452.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
5380.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
5375.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
5347.3
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
5326.8
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
5325.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5322.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
5318.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
5297.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
5296.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
5284.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
5277.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
5166.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5124.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
5122.6
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5114.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
5078.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
5036.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
5025.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
4987.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
4960.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
4960.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
4953.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
4947.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4904.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
4894.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
4763.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
4749.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
4697.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
4697.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
4657.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4656.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
4617.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
4596.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
4565.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
4553.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
4546.3
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4516.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
4492.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4487.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
4486.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
4475.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
4438.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
4437.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
4409.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4407.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
4393.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
4374.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
4362.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
4334.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
4329.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
4298.6
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
4290.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
4284.6
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4281.6
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
4274.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
4250.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
4203.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
4038.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4031.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
4025.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
4004.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3989.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3987.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3984.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
3939.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3939.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3850.1
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
3804.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3798.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3769.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3766.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
3723.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
3723.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3655.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3653.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3631.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3598.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3550.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3535.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3470.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
3451.2
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3436.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
3414.4
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
3402.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
3387.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3370.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
3340.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
3330.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
3300.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
3258.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3251.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3243.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3242.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3236.4
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
3220.1
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3108.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3061.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
3056.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2925.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
2913.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2902.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2879.3
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2864.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
2850.5
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
2840.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2827.2
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2797.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
2759.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2749.8
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
2744.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2741.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
2705.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2690.6
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2609.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
2515.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2452.1
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2447.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2436.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
2432.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2429.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2382.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2362.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
2347.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2312.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2309.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2303.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2298.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2289.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2275.5
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2249.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
2223.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
2214.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2200.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2185.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
2169.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2134.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2120.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2077.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2040.2
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
2013.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2009.0
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1989.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1980.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1972.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1954.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1927.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1915.8
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1909.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1906.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1872.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1851.3
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
1815.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1776.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1775.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1751.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1738.8
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1734.5
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1733.2
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1682.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1681.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1673.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1579.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1562.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1561.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1550.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1511.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
1503.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1476.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1474.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1461.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1440.1
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
1422.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1414.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1407.5
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1391.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1371.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
1367.9
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1325.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1322.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1310.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1276.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1254.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1240.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1202.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1197.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
1189.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1165.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1151.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1113.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
957.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
949.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
947.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
908.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
839.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
831.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
821.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
820.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
799.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
790.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
753.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
747.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
739.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
617.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
573.7
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
570.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
501.4
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
365.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
249.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
248.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
162.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
145.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
112.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
16.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
14.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
13.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
13.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
7.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
3.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 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.
FGA is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
7977.5
Number of samples
231
Samples
Sample
Description
pTPM
DO23551
73 years, male, NA, stage:3, dead, 150 days
31205.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
29307.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
25541.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
25274.9
DO48716
71 years, male, NA, stage:2, alive, 720 days
25249.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
24508.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
24332.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
23386.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
21923.8
DO45167
67 years, male, NA, stage:2, dead, 1440 days
21795.6
DO45203
71 years, female, NA, stage:2, alive, 1170 days
21599.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
21309.4
DO227801
77 years, female, NA, stage:1, alive, 660 days
21032.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
20676.9
DO23550
69 years, male, NA, stage:1, alive, 990 days
20546.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
19489.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
19472.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
19071.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
18761.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
17994.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
16147.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
15394.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
15278.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
15141.9
DO23538
67 years, male, NA, stage:2, alive, 450 days
15045.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
14993.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
14962.1
DO48742
76 years, male, NA, stage:2, alive, 600 days
14959.1
DO45094
76 years, male, NA, stage:3, alive, 1650 days
14931.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
14866.0
DO45215
65 years, male, NA, stage:2, alive, 1170 days
14444.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
14251.9
DO23531
78 years, female, NA, stage:3, alive, 900 days
14083.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
13847.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
13623.1
DO50800
74 years, male, NA, stage:2, alive, 510 days
13458.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
12982.1
DO45135
77 years, male, NA, stage:1, alive, 1410 days
12881.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
12865.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
12846.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
12818.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
12816.7
DO45143
69 years, male, NA, stage:3, alive, 1290 days
12812.4
DO50840
49 years, male, NA, stage:2, alive, 330 days
12450.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
12339.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
12323.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
12091.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
12043.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
11766.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
11608.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
11398.4
DO45095
66 years, male, NA, stage:2, alive, 1620 days
11166.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
11151.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
11120.3
DO45201
49 years, male, NA, stage:1, alive, 900 days
10974.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
10963.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
10927.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
10894.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
10868.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
10770.0
DO23542
66 years, male, NA, stage:3, alive, 960 days
10617.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
10559.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
10484.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
10417.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
10413.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
10398.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
10385.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
10306.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
10247.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
10081.5
DO23533
61 years, male, NA, stage:2, alive, 900 days
9935.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
9890.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
9744.2
DO45223
67 years, male, NA, stage:4, alive, 1020 days
9676.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
9543.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
9482.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
9469.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
9365.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
9360.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
9343.7
DO45129
61 years, male, NA, stage:3, alive, 1470 days
9245.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
9244.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
9211.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
9158.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
9151.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
9123.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
9122.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
8978.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
8601.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
8574.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
8504.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
8338.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
8332.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
8156.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
8119.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
8071.2
DO45097
69 years, male, NA, stage:3, alive, 1620 days
7925.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
7812.8
DO50813
56 years, male, NA, stage:2, alive, 420 days
7699.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
7689.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
7650.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
7607.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
7575.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
7508.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
7408.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
7397.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
7320.5
DO45093
71 years, male, NA, stage:2, dead, 720 days
7310.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
7297.2
DO45165
75 years, male, NA, stage:2, alive, 690 days
7161.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
7063.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
6959.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
6824.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
6781.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
6641.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
6635.6
DO23543
63 years, male, NA, stage:2, alive, 1020 days
6625.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
6527.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
6503.0
DO45159
65 years, male, NA, stage:3, alive, 1470 days
6497.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
6466.4
DO23512
60 years, male, NA, stage:1, alive, 1260 days
6459.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
6366.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
6296.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
6201.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
6120.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
6104.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
6066.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
5923.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
5863.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
5840.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
5780.9
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5660.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
5628.6
DO45101
63 years, male, NA, stage:2, alive, 1680 days
5533.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
5462.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
5409.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
5401.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
5371.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
5367.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
5361.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
4987.3
DO45123
78 years, female, NA, stage:2, dead, 570 days
4965.4
DO45115
81 years, male, NA, stage:2, alive, 840 days
4943.6
DO50808
68 years, male, NA, stage:2, alive, 570 days
4839.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
4838.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
4684.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
4669.0
DO45127
73 years, male, NA, stage:3, dead, 420 days
4665.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
4636.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4622.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
4540.5
DO45096
69 years, male, NA, stage:2, dead, 1290 days
4522.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4497.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
4489.2
DO23534
60 years, male, NA, stage:2, alive, 840 days
4435.0
DO23546
63 years, male, NA, stage:2, alive, 1050 days
4404.3
DO50820
77 years, female, NA, stage:3, alive, 510 days
4389.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4260.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
4193.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
4089.1
DO45171
56 years, male, NA, stage:3, alive, 600 days
3991.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
3945.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
3942.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3922.1
DO50802
49 years, male, NA, stage:2, alive, 930 days
3874.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3841.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3820.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3733.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
3721.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
3719.2
DO45185
89 years, male, NA, stage:2, alive, 600 days
3607.4
DO48701
78 years, male, NA, stage:2, alive, 780 days
3592.4
DO23545
67 years, male, NA, stage:2, dead, 570 days
3589.0
DO45267
73 years, male, NA, stage:3, dead, 570 days
3495.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
3445.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
3403.5
DO50832
73 years, male, NA, stage:3, alive, 90 days
3303.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
3290.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
3156.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
3066.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
3053.2
DO48697
64 years, female, NA, stage:2, dead, 810 days
3043.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
3010.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2755.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
2739.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
2701.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2647.7
DO50785
37 years, male, NA, stage:4, dead, 90 days
2592.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2590.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
2519.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
2499.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
2496.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2411.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
2344.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
2300.7
DO45251
57 years, female, NA, stage:2, alive, 900 days
2048.1
DO23537
79 years, male, NA, stage:2, dead, 900 days
2033.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
2015.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
1850.0
DO50839
47 years, female, NA, stage:3, alive, 330 days
1835.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1833.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
1803.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
1741.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1571.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
1532.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1531.1
DO45275
65 years, male, NA, stage:3, dead, 10 days
1469.2
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1460.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
1431.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1307.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
1233.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
1013.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
549.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
545.8
DO45209
70 years, male, NA, stage:4, alive, 1350 days
395.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
394.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
393.2
DO45305
66 years, male, NA, stage:4, alive, 300 days
369.0
DO45279
67 years, male, NA, stage:3, alive, 1290 days
224.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
181.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
176.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
152.6
DO45285
59 years, male, NA, stage:3, alive, 480 days
104.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
71.5
DO45245
75 years, female, NA, stage:2, dead, 240 days
40.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
33.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
24.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
17.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
8.4
DO45211
76 years, male, NA, stage:3, alive, 240 days
7.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
391
Tumor
2.5
343
Tumor
2.4
877
Tumor
2.3
671
Tumor
1.8
217
Tumor
1.8
328
Normal
1.7
351
Tumor
1.7
395
Tumor
1.7
713
Tumor
1.6
967
Tumor
1.6
697
Tumor
1.2
851
Tumor
1.2
125
Tumor
1.2
526
Normal
1.1
517
Tumor
1.1
863
Tumor
1.1
1015
Tumor
1.1
573
Tumor
1.0
192
Normal
1.0
113
Tumor
1.0
367
Tumor
1.0
352
Normal
0.9
815
Tumor
0.9
223
Tumor
0.9
363
Tumor
0.8
224
Normal
0.8
722
Normal
0.7
536
Normal
0.6
285
Tumor
0.6
546
Normal
0.5
228
Normal
0.5
937
Tumor
0.5
523
Tumor
0.4
813
Tumor
0.4
527
Tumor
0.4
396
Normal
0.4
953
Tumor
0.4
981
Tumor
0.4
344
Normal
0.4
195
Tumor
0.3
354
Normal
0.3
665
Tumor
0.3
142
Normal
0.3
467
Tumor
0.3
353
Tumor
0.3
818
Normal
0.3
557
Tumor
0.3
368
Normal
0.3
535
Tumor
0.3
1026
Normal
0.3
617
Tumor
0.3
685
Tumor
0.3
778
Normal
0.3
286
Normal
0.2
558
Normal
0.2
524
Normal
0.2
938
Normal
0.2
327
Tumor
0.2
1042
Normal
0.2
1044
Normal
0.2
472
Normal
0.2
672
Normal
0.2
686
Normal
0.2
494
Normal
0.2
1046
Normal
0.2
663
Tumor
0.1
393
Tumor
0.1
364
Normal
0.1
342
Normal
0.1
956
Normal
0.1
865
Tumor
0.1
425
Tumor
0.1
392
Normal
0.1
474
Normal
0.1
648
Normal
0.1
618
Normal
0.1
696
Normal
0.1
498
Normal
0.1
723
Tumor
0.1
616
Normal
0.0
884
Normal
0.0
497
Tumor
0.0
283
Tumor
0.0
525
Tumor
0.0
227
Tumor
0.0
924
Normal
0.0
191
Tumor
0.0
571
Tumor
0.0
375
Tumor
0.0
1022
Normal
0.0
488
Normal
0.0
968
Normal
0.0
923
Tumor
0.0
518
Normal
0.0
1045
Tumor
0.0
218
Normal
0.0
463
Tumor
-0.1
516
Normal
-0.1
514
Normal
-0.1
642
Normal
-0.1
468
Normal
-0.1
984
Normal
-0.1
135
Tumor
-0.1
964
Normal
-0.1
124
Normal
-0.1
491
Tumor
-0.1
528
Normal
-0.1
926
Normal
-0.1
538
Normal
-0.1
568
Normal
-0.1
574
Normal
-0.1
816
Normal
-0.1
952
Normal
-0.1
456
Normal
-0.1
452
Normal
-0.1
724
Normal
-0.1
873
Tumor
-0.1
982
Normal
-0.1
376
Normal
-0.1
1016
Normal
-0.1
464
Normal
-0.2
232
Normal
-0.2
388
Normal
-0.2
196
Normal
-0.2
1028
Normal
-0.2
857
Tumor
-0.2
186
Normal
-0.2
447
Tumor
-0.2
695
Tumor
-0.2
666
Normal
-0.2
944
Normal
-0.2
714
Normal
-0.2
448
Normal
-0.2
358
Normal
-0.2
746
Normal
-0.2
814
Normal
-0.2
492
Normal
-0.2
384
Normal
-0.2
976
Normal
-0.2
414
Normal
-0.2
817
Tumor
-0.2
428
Normal
-0.2
567
Tumor
-0.3
386
Normal
-0.3
257
Tumor
-0.3
866
Normal
-0.3
785
Tumor
-0.3
394
Normal
-0.3
534
Normal
-0.3
132
Normal
-0.3
647
Tumor
-0.3
487
Tumor
-0.3
744
Normal
-0.3
426
Normal
-0.3
422
Normal
-0.3
868
Normal
-0.3
212
Normal
-0.3
314
Normal
-0.3
424
Normal
-0.3
954
Normal
-0.3
745
Tumor
-0.3
126
Normal
-0.3
951
Tumor
-0.3
213
Tumor
-0.3
727
Tumor
-0.3
918
Normal
-0.3
413
Tumor
-0.3
545
Tumor
-0.3
1025
Tumor
-0.4
1021
Tumor
-0.4
636
Normal
-0.4
284
Normal
-0.4
187
Tumor
-0.4
915
Tumor
-0.4
341
Tumor
-0.4
148
Normal
-0.4
145
Tumor
-0.4
554
Normal
-0.4
715
Tumor
-0.4
858
Normal
-0.4
553
Tumor
-0.4
564
Normal
-0.4
141
Tumor
-0.4
1014
Normal
-0.4
958
Normal
-0.4
721
Tumor
-0.4
824
Normal
-0.4
716
Normal
-0.4
451
Tumor
-0.4
138
Normal
-0.5
478
Normal
-0.5
572
Normal
-0.5
922
Normal
-0.5
444
Normal
-0.5
136
Normal
-0.5
481
Tumor
-0.5
262
Normal
-0.5
728
Normal
-0.5
111
Normal
-0.5
356
Normal
-0.5
874
Normal
-0.5
756
Normal
-0.5
963
Tumor
-0.5
137
Tumor
-0.5
361
Tumor
-0.5
214
Normal
-0.5
852
Normal
-0.5
114
Normal
-0.5
882
Normal
-0.5
446
Normal
-0.5
267
Tumor
-0.5
261
Tumor
-0.5
628
Normal
-0.5
864
Normal
-0.5
916
Normal
-0.5
823
Tumor
-0.5
112
Tumor
-0.5
983
Tumor
-0.5
862
Normal
-0.5
912
Normal
-0.6
777
Tumor
-0.6
861
Tumor
-0.6
312
Normal
-0.6
258
Normal
-0.6
615
Tumor
-0.6
662
Normal
-0.6
443
Tumor
-0.6
445
Tumor
-0.6
1041
Tumor
-0.6
978
Normal
-0.6
332
Normal
-0.6
482
Normal
-0.6
387
Tumor
-0.6
146
Normal
-0.6
917
Tumor
-0.6
466
Normal
-0.6
222
Normal
-0.6
268
Normal
-0.6
431
Tumor
-0.7
914
Normal
-0.7
366
Normal
-0.7
741
Tumor
-0.7
462
Normal
-0.7
415
Tumor
-0.7
477
Tumor
-0.7
331
Tumor
-0.7
955
Tumor
-0.7
742
Normal
-0.7
416
Normal
-0.7
925
Tumor
-0.7
131
Tumor
-0.7
513
Tumor
-0.7
365
Tumor
-0.7
1027
Tumor
-0.7
1032
Normal
-0.7
698
Normal
-0.7
221
Tumor
-0.7
484
Normal
-0.7
966
Normal
-0.8
786
Normal
-0.8
635
Tumor
-0.8
664
Normal
-0.8
277
Tumor
-0.8
355
Tumor
-0.8
1043
Tumor
-0.8
421
Tumor
-0.8
661
Tumor
-0.8
878
Normal
-0.8
975
Tumor
-0.8
455
Tumor
-0.8
188
Normal
-0.8
432
Normal
-0.8
172
Normal
-0.8
965
Tumor
-0.8
412
Normal
-0.8
957
Tumor
-0.9
738
Normal
-0.9
423
Tumor
-0.9
311
Tumor
-0.9
563
Tumor
-0.9
161
Tumor
-0.9
383
Tumor
-0.9
162
Normal
-0.9
977
Tumor
-0.9
515
Tumor
-0.9
883
Tumor
-0.9
943
Tumor
-0.9
128
Normal
-0.9
231
Tumor
-0.9
147
Tumor
-0.9
743
Tumor
-1.0
755
Tumor
-1.0
357
Tumor
-1.0
362
Normal
-1.0
737
Tumor
-1.0
867
Tumor
-1.0
627
Tumor
-1.0
272
Normal
-1.0
465
Tumor
-1.0
385
Tumor
-1.0
185
Tumor
-1.1
493
Tumor
-1.1
411
Tumor
-1.1
1013
Tumor
-1.1
433
Tumor
-1.1
921
Tumor
-1.1
473
Tumor
-1.1
434
Normal
-1.1
297
Tumor
-1.1
537
Tumor
-1.1
471
Tumor
-1.2
913
Tumor
-1.2
436
Normal
-1.2
298
Normal
-1.2
911
Tumor
-1.2
881
Tumor
-1.2
123
Tumor
-1.2
641
Tumor
-1.2
483
Tumor
-1.2
435
Tumor
-1.2
278
Normal
-1.2
461
Tumor
-1.2
211
Tumor
-1.2
427
Tumor
-1.3
171
Tumor
-1.3
271
Tumor
-1.4
1031
Tumor
-1.4
313
Tumor
-1.5
533
Tumor
-1.5
127
Tumor
-1.5
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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.
The Human Protein Atlas project is funded
