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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.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0018
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.
59%
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.
41%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1712.8
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
26705.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
17418.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
14802.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
11535.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
11515.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
10577.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
9635.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
9278.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
9111.2
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
9006.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
8833.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
8663.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
8487.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
8001.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
7288.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
7154.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
6993.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
6982.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
6708.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
6669.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
6606.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
6566.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
6561.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
6516.4
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
6420.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
6345.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
6202.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
6146.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
5843.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
5789.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
5779.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5759.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
5516.8
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
5476.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
5430.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
5231.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
5193.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5174.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5161.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5115.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
5097.4
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5029.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
5001.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4974.7
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
4970.8
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4910.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
4866.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4729.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
4638.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4518.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
4511.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
4492.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
4409.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
4314.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4170.6
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
4153.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
4133.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
4111.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
4045.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
4033.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3714.1
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
3617.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3359.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3359.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
3300.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
3271.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3261.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3110.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
3095.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3080.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
3067.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
3063.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3062.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2970.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2965.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2839.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
2812.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2800.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2716.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2673.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2592.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2566.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
2556.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2531.3
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
2457.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2432.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2398.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2367.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
2352.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2341.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
2231.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2230.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2213.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
2110.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2003.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1994.2
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
1952.4
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
1935.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1930.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1930.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1914.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1867.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1865.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1849.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1791.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1744.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1739.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1730.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1673.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1620.2
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1618.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1608.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1592.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1582.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1565.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1551.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1507.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1492.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1485.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1449.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1358.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1351.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1301.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1294.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1292.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1267.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1261.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1241.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1228.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1225.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1209.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1185.6
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
1151.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1136.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1041.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1038.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1035.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
995.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
968.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
957.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
927.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
925.3
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
884.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
844.5
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
844.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
843.7
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
818.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
805.3
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
797.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
793.9
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
789.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
783.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
764.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
739.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
737.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
730.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
726.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
675.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
656.2
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
629.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
624.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
607.8
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
594.1
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
593.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
590.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
580.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
554.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
548.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
547.4
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
544.3
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
543.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
541.6
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
525.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
515.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
501.1
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
495.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
484.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
449.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
449.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
423.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
408.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
405.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
401.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
393.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
372.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
361.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
355.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
354.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
354.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
353.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
346.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
333.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
326.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
324.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
314.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
310.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
307.2
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
306.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
302.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
294.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
291.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
278.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
263.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
253.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
251.0
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
244.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
239.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
238.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
237.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
236.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
226.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
223.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
218.0
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
215.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
213.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
202.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
194.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
193.2
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
192.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
179.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
174.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
170.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
168.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
166.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
165.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
156.2
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
152.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
150.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
125.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
123.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
118.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
115.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
115.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
109.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
108.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
108.1
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
108.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
102.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
97.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
97.3
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
82.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
82.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
81.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
78.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
77.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
75.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
61.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
58.6
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
53.1
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
53.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
52.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
50.4
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
49.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
44.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
43.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
43.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
42.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
41.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
40.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
39.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
38.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
32.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
32.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
30.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
29.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
29.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
29.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
27.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
27.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
27.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
27.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
25.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
23.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
22.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
21.8
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
21.6
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
21.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
20.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
20.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
20.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
20.0
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
19.2
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
18.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
16.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
15.7
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
15.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
14.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
14.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
14.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
13.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
13.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
12.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
11.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
9.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
9.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
9.5
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
7.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
7.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
7.9
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
7.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
7.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
7.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
7.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
7.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
7.1
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
6.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
5.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
5.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
5.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
4.6
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4.5
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
4.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
3.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
3.6
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
3.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
3.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
2.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
2.6
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2.2
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
2.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1.7
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
1.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
1.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
0.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
0.8
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
0.8
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
0.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
0.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
0.6
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
0.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
0.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
0.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
0.3
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
0.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
0.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 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.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.16
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
0%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
64%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2122.7
Number of samples
231
Samples
Sample
Description
TPM
DO48706
72 years, male, NA, stage:2, alive, 870 days
28555.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
27455.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
21592.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
18551.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
16360.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
11300.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
9099.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
9072.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
8439.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
8362.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
7994.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
7991.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
7972.6
DO48677
58 years, male, NA, stage:3, alive, 1140 days
7971.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
7698.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
7307.8
DO48716
71 years, male, NA, stage:2, alive, 720 days
7213.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
6889.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
6683.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
6584.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
5971.8
DO45171
56 years, male, NA, stage:3, alive, 600 days
5950.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
5853.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
5371.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
5142.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
5139.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
4858.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4769.3
DO48674
80 years, male, NA, stage:2, alive, 1260 days
4664.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
4587.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
4321.1
DO50789
73 years, female, NA, stage:2, alive, 570 days
4233.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
4189.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
4163.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
4090.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4082.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3961.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
3904.8
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3822.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
3820.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
3669.7
DO23527
72 years, male, NA, stage:1, alive, 1050 days
3615.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
3550.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
3477.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
3388.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
3207.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
3202.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
3083.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
3071.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3002.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
2982.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
2950.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
2928.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
2900.6
DO45255
81 years, male, NA, stage:3, alive, 720 days
2810.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2803.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2764.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2731.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
2709.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
2636.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
2557.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
2450.0
DO45193
68 years, female, NA, stage:4, dead, 120 days
2444.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2429.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
2420.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
2418.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2378.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
2359.1
DO227643
79 years, male, NA, stage:2, alive, 1260 days
2254.6
DO45281
83 years, male, NA, stage:4, alive, 750 days
2252.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2251.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
2184.6
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2143.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
2135.7
DO23534
60 years, male, NA, stage:2, alive, 840 days
2043.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1984.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
1931.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
1908.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1836.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
1814.3
DO23508
79 years, female, NA, stage:2, alive, 390 days
1803.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1785.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1767.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
1654.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1647.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1617.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1506.8
DO23550
69 years, male, NA, stage:1, alive, 990 days
1472.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1432.0
DO48757
68 years, female, NA, stage:3, alive, 480 days
1411.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
1362.9
DO45103
47 years, male, NA, stage:3, alive, 450 days
1326.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
1235.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1224.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
1219.6
DO48700
78 years, female, NA, stage:2, alive, 810 days
1163.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
1154.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1137.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1128.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
1103.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1082.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
1058.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
989.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
946.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
943.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
902.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
873.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
869.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
841.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
839.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
828.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
781.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
772.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
699.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
697.9
DO48736
76 years, female, NA, stage:1, alive, 600 days
673.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
672.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
649.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
635.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
620.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
600.7
DO50819
72 years, female, NA, stage:2, alive, 510 days
575.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
570.8
DO48725
66 years, male, NA, stage:1, alive, 780 days
519.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
498.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
465.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
455.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
453.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
434.3
DO50799
66 years, female, NA, stage:2, alive, 540 days
431.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
411.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
403.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
380.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
342.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
311.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
310.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
307.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
288.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
286.4
DO45093
71 years, male, NA, stage:2, dead, 720 days
271.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
268.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
257.0
DO45301
56 years, male, NA, stage:2, dead, 1440 days
255.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
253.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
252.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
248.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
214.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
211.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
206.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
196.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
192.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
191.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
188.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
184.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
172.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
166.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
162.2
DO23548
78 years, female, NA, stage:1, alive, 840 days
146.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
144.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
129.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
123.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
119.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
118.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
118.2
DO50808
68 years, male, NA, stage:2, alive, 570 days
103.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
89.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
85.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
85.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
77.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
73.7
DO50809
56 years, male, NA, stage:3, dead, 720 days
72.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
67.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
60.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
58.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
58.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
52.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
41.0
DO45225
69 years, male, NA, stage:1, alive, 1050 days
25.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
24.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
20.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
20.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
19.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
19.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
18.4
DO23510
80 years, female, NA, stage:2, alive, 870 days
17.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
12.9
DO50778
60 years, male, NA, stage:4, alive, 630 days
12.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
12.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
12.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
11.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
10.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
10.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
10.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
9.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
9.4
DO45283
60 years, male, NA, stage:3, alive, 510 days
9.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
6.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
6.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
5.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
5.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
5.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
5.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
5.3
DO50791
79 years, female, NA, stage:1, dead, 480 days
4.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
4.0
DO45185
89 years, male, NA, stage:2, alive, 600 days
4.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
4.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
3.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
3.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
3.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
3.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
2.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
2.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
2.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
2.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
2.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
1.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
1.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
1.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
0.9
DO45145
78 years, male, NA, stage:3, dead, 60 days
0.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
0.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
0.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
0.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
0.5
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.