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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.
CYP2E1 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
1994.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
30365.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
19236.9
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
17302.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
13355.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
13164.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
12322.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
11127.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
10749.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
10650.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
10608.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
10397.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
10207.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
9527.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
9420.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
8438.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
8209.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
8177.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
8147.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
7928.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
7848.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
7823.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
7791.2
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
7702.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
7683.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
7365.2
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
7239.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
7218.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
7096.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
6789.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
6765.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
6732.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
6616.9
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
6568.6
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
6505.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
6313.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6275.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
6091.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
6060.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
6048.0
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5991.7
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
5889.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
5778.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5756.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
5680.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5678.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
5653.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
5637.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
5420.0
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
5366.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
5331.3
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
5306.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
5096.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
5088.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4860.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
4836.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4828.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
4698.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4672.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4668.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
4589.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
4444.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
4209.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3949.9
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3921.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3850.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3793.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3773.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3675.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3594.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3580.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3563.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3532.2
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3529.2
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3505.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
3391.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3311.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3261.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
3256.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3156.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3154.1
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3111.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3073.6
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
3055.0
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
3003.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2942.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2889.8
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2789.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2758.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2733.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2670.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2594.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2568.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2554.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2385.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2359.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2321.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2300.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2295.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2273.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2270.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2261.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2231.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2205.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
2194.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2097.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2086.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
2028.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
2027.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1995.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1967.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1909.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1892.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1884.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1834.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1831.4
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1818.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1803.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1744.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1728.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1716.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1671.9
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1639.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1606.5
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1582.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1571.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1513.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1501.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1482.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1415.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1408.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1406.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1400.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1371.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1326.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1308.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1254.0
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1181.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1177.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1175.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1141.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1133.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1083.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1048.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
991.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
989.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
981.1
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
974.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
964.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
958.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
958.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
912.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
889.0
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
880.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
872.9
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
855.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
843.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
836.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
790.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
760.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
750.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
733.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
711.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
711.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
704.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
688.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
686.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
664.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
653.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
649.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
649.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
643.1
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
639.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
611.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
610.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
610.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
590.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
585.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
581.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
540.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
536.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
505.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
488.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
479.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
476.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
437.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
435.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
434.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
430.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
429.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
423.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
419.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
408.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
389.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
377.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
374.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
373.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
370.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
367.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
360.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
356.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
346.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
332.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
321.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
314.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
292.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
285.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
284.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
282.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
281.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
280.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
264.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
264.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
258.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
256.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
244.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
232.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
227.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
225.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
216.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
216.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
201.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
200.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
199.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
198.7
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
194.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
188.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
184.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
176.2
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
149.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
141.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
137.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
133.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
132.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
130.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
130.1
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
129.6
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
121.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
120.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
115.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
113.4
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
103.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
95.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
93.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
90.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
89.2
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
85.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
69.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
69.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
62.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
62.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
61.5
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
60.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
58.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
53.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
52.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
52.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
51.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
51.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
48.5
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
47.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
45.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
36.5
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
36.3
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
35.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
35.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
35.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
33.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
32.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
31.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
31.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
31.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
29.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
28.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
27.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
26.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
25.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
24.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
24.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
23.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
23.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
23.6
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
22.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
21.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
18.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
18.5
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
18.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
17.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
17.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
16.7
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
15.9
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
15.9
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
14.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
13.9
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
13.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
11.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
11.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
9.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
9.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
9.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
9.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
8.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
8.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
8.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
8.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
8.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
7.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
6.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
6.2
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
5.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
5.8
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
5.6
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
5.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
5.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
4.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
4.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4.3
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
4.2
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
3.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
3.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3.1
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2.6
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
2.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1.9
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1.7
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1.4
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
1.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
0.9
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
0.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
0.8
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
0.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
0.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
0.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
0.4
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
0.4
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
0.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
0.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
0.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
0.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
0.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
0.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
0.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
0.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 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.
CYP2E1 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
3470.8
Number of samples
231
Samples
Sample
Description
pTPM
DO23536
56 years, male, NA, stage:2, alive, 930 days
45781.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
43020.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
37118.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
29113.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
24616.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
18832.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
16116.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
14813.9
DO45129
61 years, male, NA, stage:3, alive, 1470 days
14562.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
14368.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
14108.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
13612.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
13304.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
13287.3
DO48715
58 years, female, NA, stage:2, dead, 690 days
12473.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
11804.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
11560.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
11095.9
DO50859
77 years, male, NA, stage:2, alive, 180 days
11040.7
DO45091
56 years, male, NA, stage:2, dead, 1320 days
10205.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
10019.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
9758.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
9546.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
8875.9
DO50817
75 years, male, NA, stage:2, alive, 390 days
8332.0
DO23543
63 years, male, NA, stage:2, alive, 1020 days
8281.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
7723.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
7554.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
7355.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
6959.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
6905.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
6727.4
DO23528
45 years, female, NA, stage:2, alive, 1020 days
6683.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
6606.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
6587.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
6572.5
DO50814
83 years, male, NA, stage:3, alive, 420 days
6513.8
DO45261
74 years, male, NA, stage:3, alive, 990 days
6265.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
6257.7
DO45181
84 years, female, NA, stage:2, alive, 1200 days
6182.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
6058.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
6051.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
5484.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
5366.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
5334.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
5329.3
DO45113
58 years, male, NA, stage:3, alive, 1560 days
5261.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
5234.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
5046.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
4950.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
4922.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
4702.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
4661.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
4587.2
DO48721
58 years, female, NA, stage:1, alive, 900 days
4579.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
4545.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
4490.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
4257.5
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4184.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
4169.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
4129.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
4127.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
4116.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
4081.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
4063.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
4050.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
3952.1
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3877.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
3763.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
3678.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
3527.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
3449.7
DO50816
63 years, male, NA, stage:2, alive, 390 days
3429.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
3418.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
3314.3
DO45109
63 years, male, NA, stage:2, alive, 1590 days
3220.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
3200.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
3159.2
DO45131
53 years, male, NA, stage:4, dead, 360 days
3064.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
3026.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2990.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
2966.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
2951.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
2886.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
2694.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2668.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
2562.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
2542.5
DO23508
79 years, female, NA, stage:2, alive, 390 days
2493.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
2296.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
2278.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
2198.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
2190.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
2158.6
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1979.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
1916.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
1909.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1830.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1783.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1781.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
1750.0
DO48681
57 years, male, NA, stage:2, alive, 900 days
1676.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
1661.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
1644.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
1629.3
DO45267
73 years, male, NA, stage:3, dead, 570 days
1627.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1600.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1588.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
1482.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
1419.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
1370.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1350.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
1233.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
1195.4
DO45229
74 years, male, NA, stage:1, alive, 990 days
1190.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1115.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
1101.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1100.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1093.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
1014.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
987.0
DO50805
72 years, male, NA, stage:2, alive, 690 days
971.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
900.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
888.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
823.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
819.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
815.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
804.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
777.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
775.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
751.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
686.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
662.6
DO45213
58 years, male, NA, stage:1, alive, 1200 days
582.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
564.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
541.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
538.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
521.1
DO45123
78 years, female, NA, stage:2, dead, 570 days
517.8
DO45301
56 years, male, NA, stage:2, dead, 1440 days
515.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
478.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
457.7
DO50829
78 years, male, NA, stage:3, alive, 570 days
450.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
444.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
441.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
403.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
399.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
355.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
331.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
329.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
324.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
304.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
292.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
292.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
291.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
273.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
270.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
252.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
225.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
224.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
215.8
DO45233
83 years, male, NA, stage:3, alive, 900 days
209.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
195.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
192.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
169.9
DO45287
74 years, male, NA, stage:1, alive, 390 days
151.9
DO50840
49 years, male, NA, stage:2, alive, 330 days
150.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
149.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
146.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
144.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
135.3
DO50809
56 years, male, NA, stage:3, dead, 720 days
124.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
110.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
103.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
95.1
DO45241
49 years, male, NA, stage:1, alive, 1080 days
86.1
DO50785
37 years, male, NA, stage:4, dead, 90 days
55.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
51.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
40.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
39.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
39.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
36.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
35.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
30.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
28.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
28.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
26.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
22.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
22.2
DO50778
60 years, male, NA, stage:4, alive, 630 days
22.0
DO50832
73 years, male, NA, stage:3, alive, 90 days
19.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
19.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
19.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
15.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
15.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
14.9
DO45207
68 years, male, NA, stage:1, alive, 1050 days
12.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
11.6
DO45137
38 years, male, NA, stage:1, alive, 1320 days
10.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
10.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
10.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
8.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
8.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
8.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
7.6
DO50791
79 years, female, NA, stage:1, dead, 480 days
7.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
7.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
6.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
6.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
5.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
5.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
4.5
DO48741
64 years, male, NA, stage:3, alive, 240 days
4.4
DO48761
55 years, male, NA, stage:2, alive, 870 days
4.2
DO45297
61 years, female, NA, stage:4, dead, 1260 days
4.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
3.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
3.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
3.1
DO45253
50 years, male, NA, stage:2, alive, 870 days
2.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
2.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
2.1
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2.0
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
1.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
1.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
1.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
1.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
1.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
0.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
981
Tumor
1.5
353
Tumor
1.2
1043
Tumor
1.2
481
Tumor
1.0
218
Normal
1.0
636
Normal
0.9
628
Normal
0.9
422
Normal
0.9
968
Normal
0.9
494
Normal
0.9
286
Normal
0.9
558
Normal
0.9
867
Tumor
0.9
124
Normal
0.9
915
Tumor
0.9
914
Normal
0.9
918
Normal
0.9
568
Normal
0.8
534
Normal
0.8
132
Normal
0.8
738
Normal
0.8
278
Normal
0.8
526
Normal
0.8
474
Normal
0.8
261
Tumor
0.8
741
Tumor
0.8
314
Normal
0.8
746
Normal
0.8
258
Normal
0.8
616
Normal
0.8
428
Normal
0.8
861
Tumor
0.8
356
Normal
0.8
368
Normal
0.7
514
Normal
0.7
482
Normal
0.7
392
Normal
0.7
484
Normal
0.7
884
Normal
0.7
698
Normal
0.7
212
Normal
0.7
126
Normal
0.7
742
Normal
0.7
648
Normal
0.7
128
Normal
0.7
518
Normal
0.7
866
Normal
0.7
956
Normal
0.7
952
Normal
0.7
618
Normal
0.7
816
Normal
0.7
451
Tumor
0.7
716
Normal
0.6
362
Normal
0.6
214
Normal
0.6
721
Tumor
0.6
728
Normal
0.6
354
Normal
0.6
488
Normal
0.6
642
Normal
0.6
722
Normal
0.6
868
Normal
0.6
554
Normal
0.6
1044
Normal
0.6
938
Normal
0.6
922
Normal
0.6
574
Normal
0.6
572
Normal
0.6
446
Normal
0.6
388
Normal
0.6
328
Normal
0.6
196
Normal
0.6
714
Normal
0.6
862
Normal
0.6
396
Normal
0.6
186
Normal
0.6
1046
Normal
0.5
1022
Normal
0.5
217
Tumor
0.5
966
Normal
0.5
696
Normal
0.5
138
Normal
0.5
723
Tumor
0.5
172
Normal
0.5
1032
Normal
0.5
978
Normal
0.5
472
Normal
0.5
414
Normal
0.5
924
Normal
0.5
272
Normal
0.5
412
Normal
0.5
778
Normal
0.5
358
Normal
0.5
976
Normal
0.5
227
Tumor
0.5
228
Normal
0.5
436
Normal
0.5
464
Normal
0.5
528
Normal
0.5
426
Normal
0.5
114
Normal
0.5
466
Normal
0.5
662
Normal
0.5
332
Normal
0.4
824
Normal
0.4
123
Tumor
0.4
232
Normal
0.4
786
Normal
0.4
468
Normal
0.4
222
Normal
0.4
1026
Normal
0.4
564
Normal
0.4
818
Normal
0.4
111
Normal
0.4
136
Normal
0.4
1025
Tumor
0.4
686
Normal
0.4
982
Normal
0.4
462
Normal
0.4
448
Normal
0.4
312
Normal
0.4
1028
Normal
0.4
148
Normal
0.4
344
Normal
0.4
341
Tumor
0.4
366
Normal
0.4
424
Normal
0.4
262
Normal
0.4
955
Tumor
0.4
284
Normal
0.4
298
Normal
0.3
546
Normal
0.3
434
Normal
0.3
916
Normal
0.3
162
Normal
0.3
431
Tumor
0.3
1031
Tumor
0.3
864
Normal
0.3
516
Normal
0.3
926
Normal
0.3
958
Normal
0.3
852
Normal
0.3
756
Normal
0.3
342
Normal
0.3
364
Normal
0.3
452
Normal
0.3
713
Tumor
0.3
142
Normal
0.3
171
Tumor
0.3
944
Normal
0.3
352
Normal
0.2
858
Normal
0.2
1016
Normal
0.2
432
Normal
0.2
664
Normal
0.2
882
Normal
0.2
492
Normal
0.2
524
Normal
0.2
1014
Normal
0.1
376
Normal
0.1
1042
Normal
0.1
984
Normal
0.1
386
Normal
0.1
536
Normal
0.1
874
Normal
0.1
394
Normal
0.1
964
Normal
0.1
456
Normal
0.1
715
Tumor
0.1
416
Normal
0.0
685
Tumor
0.0
112
Tumor
0.0
553
Tumor
0.0
744
Normal
0.0
257
Tumor
0.0
666
Normal
0.0
755
Tumor
-0.1
188
Normal
-0.1
384
Normal
-0.1
415
Tumor
-0.1
912
Normal
-0.1
191
Tumor
-0.1
878
Normal
-0.1
817
Tumor
-0.2
223
Tumor
-0.2
937
Tumor
-0.2
145
Tumor
-0.2
823
Tumor
-0.2
975
Tumor
-0.2
1027
Tumor
-0.2
727
Tumor
-0.2
395
Tumor
-0.2
1015
Tumor
-0.2
697
Tumor
-0.2
1021
Tumor
-0.3
557
Tumor
-0.3
911
Tumor
-0.3
517
Tumor
-0.3
127
Tumor
-0.3
221
Tumor
-0.3
192
Normal
-0.3
113
Tumor
-0.3
268
Normal
-0.4
851
Tumor
-0.4
146
Normal
-0.4
444
Normal
-0.4
224
Normal
-0.4
954
Normal
-0.4
478
Normal
-0.4
977
Tumor
-0.5
491
Tumor
-0.5
672
Normal
-0.5
881
Tumor
-0.5
185
Tumor
-0.6
435
Tumor
-0.6
498
Normal
-0.6
538
Normal
-0.6
195
Tumor
-0.6
467
Tumor
-0.6
447
Tumor
-0.6
231
Tumor
-0.6
187
Tumor
-0.7
724
Normal
-0.7
965
Tumor
-0.7
473
Tumor
-0.7
213
Tumor
-0.7
493
Tumor
-0.8
917
Tumor
-0.8
641
Tumor
-0.8
865
Tumor
-0.8
1013
Tumor
-0.9
943
Tumor
-0.9
617
Tumor
-0.9
963
Tumor
-0.9
615
Tumor
-0.9
147
Tumor
-0.9
857
Tumor
-0.9
571
Tumor
-1.0
461
Tumor
-1.0
421
Tumor
-1.0
814
Normal
-1.1
285
Tumor
-1.1
563
Tumor
-1.2
267
Tumor
-1.2
361
Tumor
-1.2
277
Tumor
-1.3
665
Tumor
-1.3
1045
Tumor
-1.3
411
Tumor
-1.3
627
Tumor
-1.3
537
Tumor
-1.4
863
Tumor
-1.4
271
Tumor
-1.4
483
Tumor
-1.4
343
Tumor
-1.4
357
Tumor
-1.5
297
Tumor
-1.5
1041
Tumor
-1.5
423
Tumor
-1.5
923
Tumor
-1.5
351
Tumor
-1.5
327
Tumor
-1.5
131
Tumor
-1.5
883
Tumor
-1.5
983
Tumor
-1.6
161
Tumor
-1.6
331
Tumor
-1.6
383
Tumor
-1.6
391
Tumor
-1.6
525
Tumor
-1.6
921
Tumor
-1.6
527
Tumor
-1.6
125
Tumor
-1.7
873
Tumor
-1.7
141
Tumor
-1.7
137
Tumor
-1.7
695
Tumor
-1.7
433
Tumor
-1.7
355
Tumor
-1.7
465
Tumor
-1.7
365
Tumor
-1.7
877
Tumor
-1.7
463
Tumor
-1.7
413
Tumor
-1.7
957
Tumor
-1.7
283
Tumor
-1.8
471
Tumor
-1.8
925
Tumor
-1.8
523
Tumor
-1.8
211
Tumor
-1.8
513
Tumor
-1.8
785
Tumor
-1.8
737
Tumor
-1.8
363
Tumor
-1.8
477
Tumor
-1.8
567
Tumor
-1.9
393
Tumor
-1.9
573
Tumor
-1.9
813
Tumor
-1.9
815
Tumor
-1.9
313
Tumor
-1.9
311
Tumor
-1.9
375
Tumor
-1.9
967
Tumor
-1.9
427
Tumor
-1.9
545
Tumor
-2.0
387
Tumor
-2.0
497
Tumor
-2.0
515
Tumor
-2.0
743
Tumor
-2.0
635
Tumor
-2.0
487
Tumor
-2.0
745
Tumor
-2.0
953
Tumor
-2.0
951
Tumor
-2.0
425
Tumor
-2.0
135
Tumor
-2.0
445
Tumor
-2.1
443
Tumor
-2.1
367
Tumor
-2.1
777
Tumor
-2.1
455
Tumor
-2.3
535
Tumor
-2.3
913
Tumor
-2.3
647
Tumor
-2.3
663
Tumor
-2.3
671
Tumor
-2.4
385
Tumor
-2.4
533
Tumor
-2.5
661
Tumor
-2.7
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
