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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.
APOH is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
1.3e-7
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.
57%
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.
27%
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
3763.9
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
14538.5
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
12974.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
11195.6
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
10832.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
10429.1
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
10387.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
9555.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
9424.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
9213.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
9161.1
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
9018.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
8763.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
8667.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
8638.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
8395.0
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
8284.2
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
8194.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
8113.3
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
7732.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
7725.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
7651.5
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
7549.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
7495.8
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
7351.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
7275.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
7207.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
6973.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
6952.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
6821.3
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
6811.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
6717.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
6714.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
6644.9
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
6621.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
6544.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
6507.2
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
6487.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
6459.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
6447.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
6446.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
6428.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
6401.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
6337.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
6303.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
6244.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
6222.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
6217.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
6212.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
6212.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
6204.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
6166.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
6159.0
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
6090.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
6056.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
5931.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5874.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5859.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
5811.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
5757.5
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5695.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5691.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
5628.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
5607.4
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
5584.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
5505.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5447.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
5421.3
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
5412.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
5404.1
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
5398.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
5378.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
5374.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
5344.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
5297.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
5267.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
5254.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
5237.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
5236.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
5229.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
5207.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
5205.8
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
5160.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5127.2
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
5110.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
5108.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5092.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
5078.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
5065.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
5058.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
5055.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
5046.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
5038.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
5037.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
4990.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
4987.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4985.0
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4957.7
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
4938.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
4937.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
4924.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
4904.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
4894.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
4884.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
4880.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
4748.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4720.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
4692.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4677.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
4672.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
4599.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
4568.5
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
4546.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
4538.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
4526.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4499.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
4483.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
4464.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4453.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
4446.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
4421.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
4420.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
4414.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
4409.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
4387.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
4383.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
4377.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
4348.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
4319.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4311.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
4310.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
4295.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4293.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
4286.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
4282.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
4260.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
4260.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
4240.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
4235.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
4208.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
4195.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
4191.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4190.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
4174.9
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
4163.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
4139.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4135.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
4044.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
4040.6
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
4040.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
4012.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
3996.7
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3994.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3993.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
3986.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3978.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
3977.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
3973.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
3959.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
3890.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3884.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
3877.0
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
3876.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3863.5
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3861.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
3856.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
3856.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
3827.4
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
3822.8
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
3813.7
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
3802.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3772.4
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3750.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3746.6
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3744.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
3742.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3733.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
3728.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3717.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
3701.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
3700.1
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
3679.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
3677.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3621.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3589.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3586.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3578.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3560.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
3553.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
3547.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
3522.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3496.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3471.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
3431.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3423.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
3409.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
3391.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
3381.3
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
3378.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3351.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
3318.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
3305.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
3279.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3238.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
3226.0
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3224.0
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
3223.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3197.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
3183.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
3134.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
3134.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
3123.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
3118.4
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3100.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3085.6
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3080.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3071.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
3055.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3045.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3042.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3036.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2995.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
2991.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
2988.2
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2979.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
2966.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2949.8
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2939.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2918.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2910.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
2910.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2894.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
2883.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
2875.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2875.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2849.0
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2823.3
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2802.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
2790.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2786.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2780.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
2760.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2748.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
2720.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
2718.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2714.2
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2694.3
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2687.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
2678.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2673.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2669.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2666.2
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2646.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2640.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
2633.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2623.9
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2603.5
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2600.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2572.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2555.0
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
2541.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
2538.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2531.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2514.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2509.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2489.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2455.2
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
2406.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2381.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2371.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
2303.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
2243.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2190.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2188.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2187.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2170.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
2143.8
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2142.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2116.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2096.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
2061.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2038.1
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
2028.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
2001.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1999.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1995.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1874.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1870.7
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1846.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1834.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1744.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1711.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1711.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1703.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1702.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1699.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1662.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1661.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1641.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1630.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1611.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1597.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1562.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1534.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1465.6
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1447.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
1420.6
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1399.9
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1391.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1303.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1232.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1215.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1197.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1165.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
1107.0
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
1088.9
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
1048.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
1048.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1002.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
993.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
982.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
980.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
974.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
962.3
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
892.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
857.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
836.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
794.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
762.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
680.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
678.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
617.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
576.9
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
549.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
537.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
507.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
493.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
493.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
492.2
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
480.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
409.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
373.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
347.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
344.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
298.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
173.9
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
169.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
142.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
137.9
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
127.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
87.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
49.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
48.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
32.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
32.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
31.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
16.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
10.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
8.1
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
5.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1.5
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 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.
APOH 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.
0.0046
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.
43%
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
3937.4
Number of samples
231
Samples
Sample
Description
TPM
DO50818
65 years, male, NA, stage:2, alive, 510 days
13367.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
12075.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
11548.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
10414.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
10322.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
10048.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
9799.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
9642.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
9492.8
DO50807
67 years, male, NA, stage:1, alive, 540 days
9338.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
9220.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
9120.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
9087.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
9053.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
8712.4
DO50804
81 years, male, NA, stage:2, alive, 720 days
8579.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
8360.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
8235.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
8167.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
8131.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
8130.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
8128.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
8081.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
8065.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
7795.2
DO23538
67 years, male, NA, stage:2, alive, 450 days
7729.7
DO45121
61 years, male, NA, stage:3, alive, 1530 days
7552.4
DO48721
58 years, female, NA, stage:1, alive, 900 days
7481.4
DO23509
60 years, male, NA, stage:3, dead, 780 days
7391.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
7315.6
DO45197
51 years, male, NA, stage:2, alive, 1170 days
7211.1
DO45175
74 years, male, NA, stage:2, alive, 1140 days
7194.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
6926.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
6787.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
6699.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
6669.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
6640.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
6634.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
6622.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
6610.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
6527.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
6472.6
DO45199
86 years, female, NA, stage:2, alive, 1350 days
6457.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
6350.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
6337.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
6318.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
6247.9
DO45099
46 years, male, NA, stage:3, alive, 1590 days
6221.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
6029.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
6023.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
5985.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
5798.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
5669.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
5664.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
5663.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
5612.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
5592.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
5591.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
5550.0
DO45207
68 years, male, NA, stage:1, alive, 1050 days
5299.5
DO45117
73 years, female, NA, stage:2, dead, 1110 days
5297.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
5295.2
DO23533
61 years, male, NA, stage:2, alive, 900 days
5264.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
5221.6
DO50793
76 years, male, NA, stage:4, alive, 540 days
5186.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
5133.6
DO50825
70 years, male, NA, stage:2, alive, 390 days
5069.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
5055.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
5030.7
DO45233
83 years, male, NA, stage:3, alive, 900 days
4988.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
4925.4
DO23529
72 years, male, NA, stage:4, alive, 930 days
4862.2
DO23531
78 years, female, NA, stage:3, alive, 900 days
4809.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
4802.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4799.9
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4776.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
4764.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
4760.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
4696.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
4623.8
DO23544
67 years, male, NA, stage:2, alive, 960 days
4578.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
4552.6
DO23534
60 years, male, NA, stage:2, alive, 840 days
4428.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
4423.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
4416.9
DO23539
77 years, male, NA, stage:1, alive, 1110 days
4414.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
4402.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
4358.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
4259.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
4191.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
4126.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
4109.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
4088.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
4071.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
4053.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
4037.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4034.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4026.6
DO48719
80 years, male, NA, stage:2, alive, 690 days
3971.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
3954.9
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3895.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3867.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
3814.4
DO48716
71 years, male, NA, stage:2, alive, 720 days
3802.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
3779.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
3778.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3760.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3744.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
3729.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3699.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3691.9
DO48720
62 years, female, NA, stage:2, alive, 570 days
3679.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
3672.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
3672.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
3645.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
3628.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
3606.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
3604.9
DO48712
50 years, male, NA, stage:2, alive, 810 days
3568.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
3465.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
3421.2
DO50789
73 years, female, NA, stage:2, alive, 570 days
3379.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
3376.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
3365.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
3351.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
3291.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
3285.7
DO48725
66 years, male, NA, stage:1, alive, 780 days
3224.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
3213.6
DO48743
69 years, female, NA, stage:2, alive, 570 days
3180.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
3131.6
DO45135
77 years, male, NA, stage:1, alive, 1410 days
3115.3
DO50816
63 years, male, NA, stage:2, alive, 390 days
3086.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
3065.7
DO45169
74 years, male, NA, stage:3, alive, 1350 days
3043.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
3030.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
3000.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
2985.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
2976.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
2952.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
2912.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2884.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
2834.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2823.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
2819.1
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2785.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2742.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
2730.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
2722.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2700.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2682.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
2676.6
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2671.1
DO45115
81 years, male, NA, stage:2, alive, 840 days
2664.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2614.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
2611.2
DO23540
73 years, male, NA, stage:1, alive, 750 days
2599.2
DO45273
62 years, male, NA, stage:2, alive, 480 days
2596.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2580.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
2518.6
DO50855
47 years, male, NA, stage:2, alive, 570 days
2503.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
2492.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
2470.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2442.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
2393.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2359.9
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2319.0
DO50845
72 years, male, NA, stage:3, alive, 210 days
2289.5
DO45105
61 years, male, NA, stage:1, alive, 1680 days
2162.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
2160.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
2080.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1960.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1912.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1909.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1760.0
DO48723
73 years, male, NA, stage:1, alive, 600 days
1742.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1735.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1702.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
1625.0
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1578.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
1554.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1516.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1511.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
1508.7
DO48717
54 years, male, NA, stage:4, dead, 180 days
1504.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
1493.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
1476.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
1445.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
1418.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
1309.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1296.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
1292.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
1151.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1146.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
1129.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
1120.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
1104.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
1100.0
DO23530
53 years, male, NA, stage:4, dead, 180 days
984.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
955.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
936.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
935.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
835.2
DO50802
49 years, male, NA, stage:2, alive, 930 days
801.8
DO45189
85 years, female, NA, stage:2, alive, 1200 days
760.1
DO23519
65 years, male, NA, stage:3, alive, 630 days
708.0
DO45155
69 years, male, NA, stage:2, alive, 2160 days
616.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
496.2
DO23547
74 years, male, NA, stage:1, alive, 1020 days
430.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
394.4
DO50829
78 years, male, NA, stage:3, alive, 570 days
385.1
DO45127
73 years, male, NA, stage:3, dead, 420 days
213.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
199.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
175.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
109.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
97.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
80.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
78.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
53.7
DO45277
64 years, male, NA, stage:3, alive, 600 days
41.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
39.1
DO45283
60 years, male, NA, stage:3, alive, 510 days
28.4
DO45289
78 years, female, NA, stage:3, alive, 360 days
22.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
20.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
14.7
DO23523
52 years, male, NA, stage:3, alive, 1080 days
8.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
5.4
DO45285
59 years, male, NA, stage:3, alive, 480 days
4.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
2.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
2.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
2.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.3
425
Tumor
1.2
355
Tumor
1.0
817
Tumor
0.9
863
Tumor
0.8
363
Tumor
0.8
471
Tumor
0.8
387
Tumor
0.7
697
Tumor
0.7
343
Tumor
0.7
741
Tumor
0.7
137
Tumor
0.6
921
Tumor
0.6
815
Tumor
0.6
975
Tumor
0.6
635
Tumor
0.6
375
Tumor
0.6
981
Tumor
0.5
515
Tumor
0.5
491
Tumor
0.5
785
Tumor
0.5
545
Tumor
0.5
1027
Tumor
0.4
112
Tumor
0.4
455
Tumor
0.4
223
Tumor
0.4
823
Tumor
0.4
141
Tumor
0.4
517
Tumor
0.4
463
Tumor
0.4
461
Tumor
0.4
881
Tumor
0.4
745
Tumor
0.4
435
Tumor
0.4
487
Tumor
0.4
525
Tumor
0.4
527
Tumor
0.3
1041
Tumor
0.3
271
Tumor
0.3
445
Tumor
0.3
185
Tumor
0.3
261
Tumor
0.3
393
Tumor
0.3
443
Tumor
0.3
977
Tumor
0.3
743
Tumor
0.3
967
Tumor
0.3
297
Tumor
0.3
227
Tumor
0.3
777
Tumor
0.3
474
Normal
0.3
492
Normal
0.3
553
Tumor
0.3
192
Normal
0.3
963
Tumor
0.3
142
Normal
0.3
131
Tumor
0.2
342
Normal
0.2
746
Normal
0.2
331
Tumor
0.2
951
Tumor
0.2
1021
Tumor
0.2
365
Tumor
0.2
1045
Tumor
0.2
813
Tumor
0.2
937
Tumor
0.2
147
Tumor
0.2
983
Tumor
0.2
535
Tumor
0.2
277
Tumor
0.2
1025
Tumor
0.2
671
Tumor
0.2
477
Tumor
0.2
421
Tumor
0.1
557
Tumor
0.1
328
Normal
0.1
715
Tumor
0.1
518
Normal
0.1
883
Tumor
0.1
713
Tumor
0.1
483
Tumor
0.1
452
Normal
0.1
923
Tumor
0.1
431
Tumor
0.1
554
Normal
0.1
911
Tumor
0.1
285
Tumor
0.1
546
Normal
0.1
465
Tumor
0.0
283
Tumor
0.0
538
Normal
0.0
135
Tumor
0.0
391
Tumor
0.0
878
Normal
0.0
915
Tumor
0.0
367
Tumor
0.0
395
Tumor
0.0
965
Tumor
0.0
865
Tumor
0.0
924
Normal
0.0
186
Normal
0.0
778
Normal
0.0
744
Normal
0.0
472
Normal
0.0
957
Tumor
0.0
423
Tumor
0.0
257
Tumor
0.0
1028
Normal
0.0
695
Tumor
0.0
411
Tumor
-0.1
737
Tumor
-0.1
533
Tumor
-0.1
952
Normal
-0.1
327
Tumor
-0.1
516
Normal
-0.1
448
Normal
-0.1
383
Tumor
-0.1
851
Tumor
-0.1
433
Tumor
-0.1
136
Normal
-0.1
663
Tumor
-0.1
1015
Tumor
-0.1
426
Normal
-0.1
966
Normal
-0.1
861
Tumor
-0.1
513
Tumor
-0.1
171
Tumor
-0.1
493
Tumor
-0.1
132
Normal
-0.1
867
Tumor
-0.1
161
Tumor
-0.1
145
Tumor
-0.1
353
Tumor
-0.1
412
Normal
-0.1
388
Normal
-0.2
914
Normal
-0.2
523
Tumor
-0.2
497
Tumor
-0.2
146
Normal
-0.2
298
Normal
-0.2
267
Tumor
-0.2
917
Tumor
-0.2
313
Tumor
-0.2
138
Normal
-0.2
567
Tumor
-0.2
436
Normal
-0.2
956
Normal
-0.2
462
Normal
-0.2
124
Normal
-0.2
111
Normal
-0.2
358
Normal
-0.2
392
Normal
-0.2
874
Normal
-0.2
685
Tumor
-0.2
278
Normal
-0.2
938
Normal
-0.2
368
Normal
-0.2
396
Normal
-0.2
162
Normal
-0.2
311
Tumor
-0.2
647
Tumor
-0.2
217
Tumor
-0.2
447
Tumor
-0.2
526
Normal
-0.2
451
Tumor
-0.2
312
Normal
-0.2
172
Normal
-0.2
464
Normal
-0.3
818
Normal
-0.3
113
Tumor
-0.3
444
Normal
-0.3
816
Normal
-0.3
394
Normal
-0.3
536
Normal
-0.3
422
Normal
-0.3
341
Tumor
-0.3
214
Normal
-0.3
228
Normal
-0.3
386
Normal
-0.3
357
Tumor
-0.3
857
Tumor
-0.3
114
Normal
-0.3
258
Normal
-0.3
332
Normal
-0.3
1043
Tumor
-0.3
221
Tumor
-0.3
232
Normal
-0.3
1026
Normal
-0.3
222
Normal
-0.3
272
Normal
-0.3
484
Normal
-0.3
376
Normal
-0.3
196
Normal
-0.3
366
Normal
-0.3
494
Normal
-0.3
925
Tumor
-0.3
268
Normal
-0.4
618
Normal
-0.4
574
Normal
-0.4
314
Normal
-0.4
364
Normal
-0.4
218
Normal
-0.4
864
Normal
-0.4
968
Normal
-0.4
148
Normal
-0.4
126
Normal
-0.4
427
Tumor
-0.4
698
Normal
-0.4
188
Normal
-0.4
128
Normal
-0.4
262
Normal
-0.4
868
Normal
-0.4
922
Normal
-0.4
738
Normal
-0.4
481
Tumor
-0.4
976
Normal
-0.4
414
Normal
-0.4
943
Tumor
-0.4
362
Normal
-0.4
534
Normal
-0.4
231
Tumor
-0.4
344
Normal
-0.4
537
Tumor
-0.4
1031
Tumor
-0.4
953
Tumor
-0.4
571
Tumor
-0.4
728
Normal
-0.4
696
Normal
-0.4
195
Tumor
-0.4
742
Normal
-0.4
866
Normal
-0.4
1022
Normal
-0.4
385
Tumor
-0.4
615
Tumor
-0.4
361
Tumor
-0.4
191
Tumor
-0.5
473
Tumor
-0.5
873
Tumor
-0.5
213
Tumor
-0.5
125
Tumor
-0.5
224
Normal
-0.5
636
Normal
-0.5
187
Tumor
-0.5
1042
Normal
-0.5
356
Normal
-0.5
882
Normal
-0.5
428
Normal
-0.5
964
Normal
-0.5
786
Normal
-0.5
916
Normal
-0.5
354
Normal
-0.5
918
Normal
-0.5
434
Normal
-0.5
446
Normal
-0.5
424
Normal
-0.5
568
Normal
-0.5
913
Tumor
-0.5
862
Normal
-0.5
384
Normal
-0.5
944
Normal
-0.6
563
Tumor
-0.6
413
Tumor
-0.6
958
Normal
-0.6
468
Normal
-0.6
432
Normal
-0.6
351
Tumor
-0.6
466
Normal
-0.6
482
Normal
-0.6
1016
Normal
-0.6
982
Normal
-0.6
662
Normal
-0.6
564
Normal
-0.6
415
Tumor
-0.6
1046
Normal
-0.6
573
Tumor
-0.6
648
Normal
-0.6
1032
Normal
-0.6
524
Normal
-0.6
722
Normal
-0.6
488
Normal
-0.6
416
Normal
-0.6
456
Normal
-0.6
852
Normal
-0.6
212
Normal
-0.6
686
Normal
-0.6
955
Tumor
-0.6
286
Normal
-0.7
478
Normal
-0.7
723
Tumor
-0.7
727
Tumor
-0.7
672
Normal
-0.7
926
Normal
-0.7
954
Normal
-0.7
467
Tumor
-0.7
352
Normal
-0.7
884
Normal
-0.7
627
Tumor
-0.7
514
Normal
-0.7
498
Normal
-0.7
284
Normal
-0.7
824
Normal
-0.7
528
Normal
-0.7
912
Normal
-0.7
814
Normal
-0.8
641
Tumor
-0.8
716
Normal
-0.8
665
Tumor
-0.8
664
Normal
-0.8
642
Normal
-0.8
858
Normal
-0.8
714
Normal
-0.8
572
Normal
-0.8
558
Normal
-0.8
755
Tumor
-0.8
617
Tumor
-0.8
123
Tumor
-0.8
721
Tumor
-0.8
1013
Tumor
-0.9
211
Tumor
-0.9
661
Tumor
-0.9
1044
Normal
-0.9
127
Tumor
-1.0
616
Normal
-1.0
666
Normal
-1.0
984
Normal
-1.1
1014
Normal
-1.1
756
Normal
-1.1
724
Normal
-1.1
628
Normal
-1.2
978
Normal
-1.6
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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.