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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.
APOE 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.
69%
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.
40%
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
6961.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
33259.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
27379.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
25902.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
23030.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
22760.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
21797.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
20589.3
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
19900.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
19728.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
17989.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
17599.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
17276.9
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
16915.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
16095.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
15393.3
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
15354.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
15280.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
15203.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
14773.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
14710.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
14576.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
14428.1
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
14259.4
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
13739.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
13702.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
13477.7
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
13455.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
13422.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
13113.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
12827.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
12763.0
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
12736.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
12566.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
12566.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
12542.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
12386.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
12125.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
11877.3
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
11638.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
11467.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
11383.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
11239.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
11171.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
11162.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
11153.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
11129.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
11086.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
11000.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
10997.2
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
10911.1
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
10871.7
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
10869.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
10846.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
10718.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
10691.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
10660.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
10639.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
10609.1
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
10531.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
10488.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
10443.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
10263.9
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
10215.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
10022.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
9990.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
9989.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
9902.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
9797.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
9661.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
9649.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
9643.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
9628.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
9469.7
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
9463.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
9453.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
9437.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
9322.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
9259.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
9177.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
9043.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
8964.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
8960.7
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
8917.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
8887.7
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
8851.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
8778.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
8763.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
8710.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
8694.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
8594.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
8588.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
8578.1
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
8567.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
8565.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
8420.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
8256.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
8235.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
8101.5
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
8097.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
8073.2
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
8065.1
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
8008.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
7981.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
7951.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
7927.6
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
7795.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
7789.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
7788.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
7771.2
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
7750.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
7669.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
7642.7
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
7628.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
7595.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
7571.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
7549.5
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
7546.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
7538.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
7486.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
7435.2
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
7390.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
7379.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
7362.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
7360.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
7319.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
7291.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
7242.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
7218.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
7211.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
7183.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7164.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
7137.6
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
7127.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
7119.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
7116.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
7097.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
7089.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
7083.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
7066.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
7015.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
6996.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
6976.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
6975.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
6961.4
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
6949.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
6948.0
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
6939.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
6918.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
6907.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
6904.3
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
6874.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
6873.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
6803.1
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
6779.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
6687.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
6687.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
6658.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6645.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
6601.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
6596.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
6577.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
6568.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
6566.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
6529.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
6502.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
6464.4
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
6362.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
6346.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
6342.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
6340.7
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
6336.2
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
6332.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
6304.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
6265.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6261.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
6234.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
6215.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
6203.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
6193.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
6132.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
6092.8
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
6065.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6062.3
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
6054.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
6053.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
6048.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
6028.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
6017.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
6011.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
5995.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
5911.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
5900.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
5881.9
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
5876.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
5857.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
5829.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
5807.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
5791.6
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
5779.3
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
5770.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
5754.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
5699.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
5678.7
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
5674.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
5640.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5628.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
5548.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
5529.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
5522.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
5518.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
5483.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
5479.7
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
5477.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
5474.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
5468.6
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
5460.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
5428.5
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
5410.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
5399.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
5374.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
5308.3
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
5289.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
5278.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
5274.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
5270.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
5266.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
5251.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
5168.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
5135.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
5072.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
5066.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
5063.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
5014.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
5011.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
5002.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
4991.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4990.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
4955.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
4938.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
4922.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4885.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4856.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
4852.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
4813.6
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
4810.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
4742.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
4730.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
4727.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4717.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4706.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
4660.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
4594.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
4581.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
4569.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
4564.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
4549.3
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
4546.6
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4543.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4533.2
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
4468.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4437.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
4436.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4390.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
4389.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4375.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
4369.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
4366.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
4364.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4359.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
4335.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
4331.1
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
4297.2
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
4286.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
4285.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
4262.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4189.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
4186.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
4179.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4148.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
4134.8
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
4103.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
4092.8
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
4092.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4081.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
4023.6
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
4004.3
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3990.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3985.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
3953.8
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
3934.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3925.9
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
3849.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
3776.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3757.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
3744.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
3715.5
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
3665.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
3643.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
3641.6
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3621.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
3597.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3538.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3536.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
3528.1
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3522.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3510.6
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
3487.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3470.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
3435.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
3367.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3360.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
3332.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
3317.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3298.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3265.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3212.2
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3141.8
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3121.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
3077.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
3066.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3053.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
3052.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3040.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3017.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2966.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
2896.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
2769.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2750.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2626.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2390.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
2337.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2283.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2105.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
2082.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2009.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
2009.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1922.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1905.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1784.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1654.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1563.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1545.2
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1539.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1433.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1357.7
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
1253.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1127.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1087.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1024.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1024.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
991.8
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
975.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
780.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
723.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
672.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
609.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
324.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
224.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
213.0
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
154.8
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
133.0
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 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.
APOE is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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.
0.00051
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.
71%
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.
42%
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
5707.5
Number of samples
231
Samples
Sample
Description
TPM
DO45149
70 years, female, NA, stage:2, alive, 1260 days
19644.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
17528.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
15667.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
15354.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
14846.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
14804.4
DO50814
83 years, male, NA, stage:3, alive, 420 days
14684.5
DO45092
62 years, male, NA, stage:4, dead, 1200 days
14578.8
DO45099
46 years, male, NA, stage:3, alive, 1590 days
14186.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
14079.4
DO45241
49 years, male, NA, stage:1, alive, 1080 days
13975.6
DO23529
72 years, male, NA, stage:4, alive, 930 days
12347.3
DO23512
60 years, male, NA, stage:1, alive, 1260 days
12092.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
12004.0
DO45111
74 years, male, NA, stage:2, alive, 1590 days
11917.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
11687.0
DO45107
63 years, female, NA, stage:2, alive, 1710 days
11663.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
11362.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
11359.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
11282.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
10874.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
10730.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
10678.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
10542.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
10518.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
10507.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
10104.3
DO45265
73 years, male, NA, stage:3, alive, 1020 days
9789.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
9624.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
9573.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
9550.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
9198.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
9196.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
8985.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
8873.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
8692.5
DO45133
64 years, male, NA, stage:3, dead, 660 days
8585.5
DO48725
66 years, male, NA, stage:1, alive, 780 days
8575.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
8543.1
DO50783
62 years, male, NA, stage:3, alive, 480 days
8476.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
8302.2
DO45169
74 years, male, NA, stage:3, alive, 1350 days
8296.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
8137.4
DO48679
72 years, male, NA, stage:2, alive, 1200 days
8012.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
8005.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
7984.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
7984.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
7915.1
DO45091
56 years, male, NA, stage:2, dead, 1320 days
7866.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
7773.1
DO48723
73 years, male, NA, stage:1, alive, 600 days
7712.0
DO45153
77 years, female, NA, stage:2, alive, 1380 days
7585.8
DO50789
73 years, female, NA, stage:2, alive, 570 days
7580.4
DO45179
78 years, female, NA, stage:2, alive, 600 days
7561.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
7522.9
DO48743
69 years, female, NA, stage:2, alive, 570 days
7516.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
7412.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
7397.1
DO45209
70 years, male, NA, stage:4, alive, 1350 days
7385.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
7346.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
7248.3
DO45213
58 years, male, NA, stage:1, alive, 1200 days
7179.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
7127.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
7124.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
7061.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
6995.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
6963.7
DO50813
56 years, male, NA, stage:2, alive, 420 days
6962.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
6957.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
6807.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
6769.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
6745.9
DO45217
69 years, female, NA, stage:3, dead, 270 days
6744.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
6662.3
DO23525
71 years, male, NA, stage:4, alive, 1050 days
6588.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
6528.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
6334.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
6308.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
6274.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
6258.0
DO45097
69 years, male, NA, stage:3, alive, 1620 days
6218.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
6179.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
6178.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
6116.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
6005.3
DO23546
63 years, male, NA, stage:2, alive, 1050 days
5943.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
5931.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
5919.5
DO45221
75 years, female, NA, stage:4, dead, 390 days
5883.0
DO45171
56 years, male, NA, stage:3, alive, 600 days
5774.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
5761.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
5749.1
DO23547
74 years, male, NA, stage:1, alive, 1020 days
5744.0
DO48730
73 years, female, NA, stage:2, alive, 630 days
5689.5
DO45273
62 years, male, NA, stage:2, alive, 480 days
5641.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
5634.9
DO48760
70 years, female, NA, stage:2, alive, 690 days
5601.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
5547.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
5523.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
5477.0
DO45177
81 years, female, NA, stage:3, alive, 1260 days
5442.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
5364.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
5261.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
5222.8
DO50799
66 years, female, NA, stage:2, alive, 540 days
5193.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
5176.6
DO45175
74 years, male, NA, stage:2, alive, 1140 days
5172.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
5168.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
5147.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
5111.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
5063.0
DO23518
67 years, male, NA, stage:2, alive, 1320 days
5048.1
DO23523
52 years, male, NA, stage:3, alive, 1080 days
5025.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
4963.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
4898.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
4866.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
4817.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
4788.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
4751.1
DO23528
45 years, female, NA, stage:2, alive, 1020 days
4730.2
DO23544
67 years, male, NA, stage:2, alive, 960 days
4719.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
4711.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
4694.4
DO50818
65 years, male, NA, stage:2, alive, 510 days
4640.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
4635.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
4613.0
DO23526
66 years, male, NA, stage:3, alive, 1050 days
4597.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
4523.2
DO48681
57 years, male, NA, stage:2, alive, 900 days
4481.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
4430.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
4418.8
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4410.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
4405.0
DO45237
58 years, male, NA, stage:2, alive, 900 days
4390.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
4383.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
4379.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
4333.0
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4262.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
4237.3
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4215.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
4194.3
DO48727
81 years, female, NA, stage:2, dead, 390 days
4179.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
4178.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
4177.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
4173.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
4154.5
DO227801
77 years, female, NA, stage:1, alive, 660 days
4118.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
4115.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
4053.4
DO48704
68 years, female, NA, stage:3, alive, 750 days
4036.3
DO50793
76 years, male, NA, stage:4, alive, 540 days
4018.9
DO48700
78 years, female, NA, stage:2, alive, 810 days
3942.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
3893.3
DO45257
46 years, male, NA, stage:3, alive, 810 days
3884.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
3837.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
3823.3
DO45159
65 years, male, NA, stage:3, alive, 1470 days
3818.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
3803.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
3764.5
DO48747
62 years, male, NA, stage:3, alive, 540 days
3751.2
DO45247
31 years, female, NA, stage:2, alive, 210 days
3735.4
DO50807
67 years, male, NA, stage:1, alive, 540 days
3732.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
3722.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3719.3
DO45195
62 years, male, NA, stage:1, alive, 390 days
3718.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
3705.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
3695.0
DO48672
81 years, male, NA, stage:2, alive, 450 days
3679.8
DO50774
68 years, female, NA, stage:2, alive, 720 days
3659.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
3647.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
3646.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
3610.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
3603.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
3595.4
DO45185
89 years, male, NA, stage:2, alive, 600 days
3571.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
3561.4
DO23521
63 years, male, NA, stage:3, alive, 1110 days
3546.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
3534.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
3530.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
3530.4
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3490.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
3447.2
DO45215
65 years, male, NA, stage:2, alive, 1170 days
3439.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
3416.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
3379.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
3350.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
3319.8
DO23533
61 years, male, NA, stage:2, alive, 900 days
3286.6
DO50817
75 years, male, NA, stage:2, alive, 390 days
3247.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
3217.8
DO50844
75 years, male, NA, stage:4, alive, 300 days
3145.6
DO50859
77 years, male, NA, stage:2, alive, 180 days
3100.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
3100.4
DO50855
47 years, male, NA, stage:2, alive, 570 days
3091.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
3053.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3048.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
3027.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
2953.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
2901.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
2895.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
2880.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
2848.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
2768.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
2738.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
2718.4
DO50800
74 years, male, NA, stage:2, alive, 510 days
2510.4
DO50820
77 years, female, NA, stage:3, alive, 510 days
2424.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
2056.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
1912.7
DO23551
73 years, male, NA, stage:3, dead, 150 days
1905.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
1775.0
DO23516
69 years, male, NA, stage:3, dead, 20 days
1686.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
1633.6
DO23530
53 years, male, NA, stage:4, dead, 180 days
1299.2
DO45189
85 years, female, NA, stage:2, alive, 1200 days
1021.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
936.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
574.1
DO45251
57 years, female, NA, stage:2, alive, 900 days
459.5
DO45285
59 years, male, NA, stage:3, alive, 480 days
430.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
405.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
364.7
DO45301
56 years, male, NA, stage:2, dead, 1440 days
344.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
338.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
188.8
DO45211
76 years, male, NA, stage:3, alive, 240 days
156.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
153.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
147.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
123.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
114.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
56.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
53.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
425
Tumor
2.7
635
Tumor
2.6
647
Tumor
2.1
921
Tumor
1.5
341
Tumor
1.4
221
Tumor
1.4
147
Tumor
1.4
363
Tumor
1.4
517
Tumor
1.3
343
Tumor
1.2
745
Tumor
1.2
463
Tumor
1.2
713
Tumor
1.2
571
Tumor
1.1
355
Tumor
1.1
863
Tumor
1.1
471
Tumor
1.1
671
Tumor
1.1
1027
Tumor
1.0
957
Tumor
1.0
715
Tumor
1.0
615
Tumor
0.9
1021
Tumor
0.9
223
Tumor
0.9
365
Tumor
0.9
877
Tumor
0.9
141
Tumor
0.9
515
Tumor
0.8
277
Tumor
0.8
1045
Tumor
0.8
975
Tumor
0.8
443
Tumor
0.7
477
Tumor
0.7
257
Tumor
0.7
313
Tumor
0.7
393
Tumor
0.7
187
Tumor
0.7
435
Tumor
0.7
513
Tumor
0.7
125
Tumor
0.6
641
Tumor
0.6
271
Tumor
0.6
553
Tumor
0.6
421
Tumor
0.6
112
Tumor
0.6
135
Tumor
0.6
665
Tumor
0.5
883
Tumor
0.5
817
Tumor
0.5
357
Tumor
0.5
563
Tumor
0.5
411
Tumor
0.5
815
Tumor
0.5
483
Tumor
0.5
1041
Tumor
0.5
755
Tumor
0.4
697
Tumor
0.4
387
Tumor
0.4
951
Tumor
0.4
137
Tumor
0.4
823
Tumor
0.4
361
Tumor
0.4
923
Tumor
0.4
1025
Tumor
0.4
881
Tumor
0.4
367
Tumor
0.4
777
Tumor
0.4
741
Tumor
0.4
487
Tumor
0.4
185
Tumor
0.3
785
Tumor
0.3
545
Tumor
0.3
455
Tumor
0.3
567
Tumor
0.3
423
Tumor
0.3
385
Tumor
0.3
977
Tumor
0.3
573
Tumor
0.3
533
Tumor
0.2
451
Tumor
0.2
953
Tumor
0.2
283
Tumor
0.2
851
Tumor
0.2
297
Tumor
0.2
537
Tumor
0.1
227
Tumor
0.1
557
Tumor
0.1
445
Tumor
0.1
171
Tumor
0.1
461
Tumor
0.1
231
Tumor
0.1
663
Tumor
0.1
525
Tumor
0.1
937
Tumor
0.1
217
Tumor
0.0
535
Tumor
0.0
161
Tumor
0.0
523
Tumor
0.0
873
Tumor
0.0
911
Tumor
0.0
431
Tumor
0.0
627
Tumor
0.0
426
Normal
0.0
743
Tumor
0.0
353
Tumor
0.0
328
Normal
0.0
1042
Normal
-0.1
636
Normal
-0.1
424
Normal
-0.1
415
Tumor
-0.1
737
Tumor
-0.1
422
Normal
-0.1
416
Normal
-0.1
913
Tumor
-0.1
391
Tumor
-0.1
958
Normal
-0.1
963
Tumor
-0.1
925
Tumor
-0.1
267
Tumor
-0.1
188
Normal
-0.1
428
Normal
-0.1
261
Tumor
-0.1
331
Tumor
-0.1
491
Tumor
-0.1
145
Tumor
-0.1
1013
Tumor
-0.1
433
Tumor
-0.1
493
Tumor
-0.1
375
Tumor
-0.1
127
Tumor
-0.1
915
Tumor
-0.1
1015
Tumor
-0.1
494
Normal
-0.2
464
Normal
-0.2
564
Normal
-0.2
514
Normal
-0.2
716
Normal
-0.2
131
Tumor
-0.2
857
Tumor
-0.2
482
Normal
-0.2
162
Normal
-0.2
1031
Tumor
-0.2
138
Normal
-0.2
714
Normal
-0.2
354
Normal
-0.2
191
Tumor
-0.2
224
Normal
-0.2
414
Normal
-0.2
465
Tumor
-0.2
727
Tumor
-0.2
342
Normal
-0.2
195
Tumor
-0.3
516
Normal
-0.3
938
Normal
-0.3
628
Normal
-0.3
192
Normal
-0.3
172
Normal
-0.3
1043
Tumor
-0.3
964
Normal
-0.3
616
Normal
-0.3
412
Normal
-0.3
524
Normal
-0.3
314
Normal
-0.3
472
Normal
-0.3
327
Tumor
-0.3
695
Tumor
-0.3
136
Normal
-0.3
648
Normal
-0.3
436
Normal
-0.3
113
Tumor
-0.3
432
Normal
-0.3
617
Tumor
-0.3
364
Normal
-0.3
722
Normal
-0.3
222
Normal
-0.3
728
Normal
-0.3
258
Normal
-0.3
538
Normal
-0.3
278
Normal
-0.3
395
Tumor
-0.3
922
Normal
-0.3
388
Normal
-0.3
666
Normal
-0.3
474
Normal
-0.3
386
Normal
-0.3
926
Normal
-0.4
1032
Normal
-0.4
356
Normal
-0.4
534
Normal
-0.4
982
Normal
-0.4
392
Normal
-0.4
452
Normal
-0.4
298
Normal
-0.4
1026
Normal
-0.4
918
Normal
-0.4
497
Tumor
-0.4
214
Normal
-0.4
473
Tumor
-0.4
123
Tumor
-0.4
312
Normal
-0.4
672
Normal
-0.4
967
Tumor
-0.4
862
Normal
-0.4
618
Normal
-0.4
186
Normal
-0.4
481
Tumor
-0.4
956
Normal
-0.4
874
Normal
-0.4
484
Normal
-0.4
142
Normal
-0.4
983
Tumor
-0.4
742
Normal
-0.4
128
Normal
-0.4
965
Tumor
-0.4
456
Normal
-0.4
111
Normal
-0.4
858
Normal
-0.4
662
Normal
-0.4
685
Tumor
-0.4
976
Normal
-0.4
1022
Normal
-0.4
786
Normal
-0.5
448
Normal
-0.5
756
Normal
-0.5
738
Normal
-0.5
952
Normal
-0.5
1046
Normal
-0.5
554
Normal
-0.5
344
Normal
-0.5
572
Normal
-0.5
968
Normal
-0.5
352
Normal
-0.5
664
Normal
-0.5
642
Normal
-0.5
444
Normal
-0.5
213
Tumor
-0.5
818
Normal
-0.5
518
Normal
-0.5
868
Normal
-0.5
366
Normal
-0.5
196
Normal
-0.5
1044
Normal
-0.5
498
Normal
-0.5
478
Normal
-0.5
462
Normal
-0.5
882
Normal
-0.5
955
Tumor
-0.5
916
Normal
-0.5
852
Normal
-0.5
824
Normal
-0.5
413
Tumor
-0.5
212
Normal
-0.5
574
Normal
-0.5
394
Normal
-0.5
272
Normal
-0.5
228
Normal
-0.5
468
Normal
-0.5
358
Normal
-0.5
148
Normal
-0.5
558
Normal
-0.5
126
Normal
-0.5
262
Normal
-0.5
568
Normal
-0.6
232
Normal
-0.6
124
Normal
-0.6
723
Tumor
-0.6
284
Normal
-0.6
527
Tumor
-0.6
488
Normal
-0.6
218
Normal
-0.6
268
Normal
-0.6
492
Normal
-0.6
1028
Normal
-0.6
884
Normal
-0.6
114
Normal
-0.6
362
Normal
-0.6
696
Normal
-0.6
384
Normal
-0.6
1014
Normal
-0.6
526
Normal
-0.6
864
Normal
-0.6
978
Normal
-0.6
376
Normal
-0.6
721
Tumor
-0.6
434
Normal
-0.6
966
Normal
-0.6
546
Normal
-0.6
396
Normal
-0.6
698
Normal
-0.6
778
Normal
-0.6
368
Normal
-0.7
912
Normal
-0.7
146
Normal
-0.7
746
Normal
-0.7
661
Tumor
-0.7
813
Tumor
-0.7
132
Normal
-0.7
816
Normal
-0.7
944
Normal
-0.7
528
Normal
-0.7
466
Normal
-0.7
446
Normal
-0.7
536
Normal
-0.7
924
Normal
-0.7
866
Normal
-0.7
686
Normal
-0.7
954
Normal
-0.7
332
Normal
-0.7
861
Tumor
-0.8
744
Normal
-0.8
286
Normal
-0.8
1016
Normal
-0.8
427
Tumor
-0.8
447
Tumor
-0.8
981
Tumor
-0.8
867
Tumor
-0.8
878
Normal
-0.9
311
Tumor
-0.9
984
Normal
-0.9
285
Tumor
-0.9
914
Normal
-0.9
351
Tumor
-0.9
467
Tumor
-0.9
211
Tumor
-1.0
814
Normal
-1.0
943
Tumor
-1.0
724
Normal
-1.0
917
Tumor
-1.1
383
Tumor
-1.2
865
Tumor
-1.8
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.