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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.
HP is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12440.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
88167.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
73653.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
62105.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
50980.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
50209.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
49645.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
49555.1
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
45382.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
43627.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
42983.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
39821.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
39754.7
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
38138.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
38096.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
38007.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
37647.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
37038.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
36708.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
36119.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
36034.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
35855.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
35402.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
34535.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
34460.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
34129.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
33228.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
33145.0
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
33112.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
33091.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
32240.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
30848.9
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
30639.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
29774.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
29644.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
29530.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
29305.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
29225.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
29063.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
28872.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
28615.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
28611.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
27938.8
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
27758.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
27642.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
27386.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
27351.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
27167.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
27083.3
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
26714.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
26634.6
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
26113.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
25719.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
25468.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
25238.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
24830.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
24584.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
24376.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
24107.7
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
24052.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
23889.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
23652.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
23270.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
23174.4
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
23059.3
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
22338.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
22190.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
22061.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
21947.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
21807.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
21389.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
21078.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
20865.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
20830.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
20085.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
19752.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
19559.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
19329.5
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
19301.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
19116.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
19058.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
18955.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
18899.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
18864.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
18829.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
18767.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
18682.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
18511.8
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
18404.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
18400.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
18385.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
18223.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
18207.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
18146.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
18116.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
18051.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
17887.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
17808.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
17661.5
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
17391.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
17383.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
17085.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
17029.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
16891.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
16882.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
16833.9
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
16749.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
16357.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
16327.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
16201.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
16160.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
16079.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
16057.5
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
15748.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
15679.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
15651.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
15555.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
15068.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
14998.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
14644.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
14430.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
14301.5
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
14251.9
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
14104.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
14023.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
13924.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
13709.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
13647.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
13646.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
13564.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
13487.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
13331.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
13280.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
13278.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
13253.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
13205.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
13136.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
12925.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
12913.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
12854.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
12698.5
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
12513.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
12438.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
12291.3
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
11832.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
11796.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
11727.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
11711.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
11697.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
11658.2
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
11649.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
11607.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
11510.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
11304.4
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
11248.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
11222.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
11092.4
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
10945.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
10935.9
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
10799.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
10744.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
10670.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
10615.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
10504.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
10499.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
10475.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
10444.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
10019.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
9838.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
9812.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
9785.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
9701.0
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
9626.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
9493.5
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
9436.1
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
9360.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
9285.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
9217.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
9054.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
8979.1
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
8931.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
8665.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
8658.0
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
8649.7
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
8568.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
8551.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
8494.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
8443.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
8361.7
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
8341.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
8326.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
8107.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
8063.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
8012.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
7938.1
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
7918.4
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
7859.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
7837.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
7811.5
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
7806.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
7756.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
7199.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
7188.3
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
7048.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
6836.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
6824.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
6544.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
6515.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
6459.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
6289.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
6180.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
6053.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
6050.1
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
6023.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
6013.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
5969.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
5913.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
5877.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
5823.1
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
5798.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
5727.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
5704.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
5526.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
5463.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
5323.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
5288.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
5259.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
5107.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5064.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
4937.3
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4913.7
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
4897.4
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
4865.1
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
4742.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
4730.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
4713.7
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
4576.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
4562.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
4544.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
4445.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
4407.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
4373.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
4322.1
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
4245.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4177.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
4141.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
4132.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
3964.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3942.8
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
3934.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
3930.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
3910.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3754.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3573.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3501.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3465.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3417.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3405.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3395.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3331.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3265.0
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3254.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3240.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
3201.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
3192.3
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3164.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3160.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
3090.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3078.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3050.6
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3030.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2965.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2961.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2909.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
2854.7
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2753.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2711.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2702.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2700.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2574.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2405.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2192.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2179.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2177.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2154.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2144.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2134.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2066.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2059.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2036.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2032.7
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2032.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2023.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1999.2
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1997.0
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1888.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1845.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1789.5
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1747.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1714.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
1681.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
1659.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1604.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1599.3
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1552.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1538.6
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1509.3
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1446.0
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1388.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1357.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1339.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1299.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1291.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1261.2
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1246.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1221.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1087.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1058.1
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1049.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1041.6
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1032.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1031.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
946.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
840.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
820.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
804.4
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
788.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
752.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
669.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
662.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
633.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
617.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
597.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
585.6
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
545.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
500.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
472.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
442.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
439.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
409.9
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
353.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
314.5
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
309.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
271.7
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
223.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
212.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
183.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
173.1
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
156.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
130.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
81.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
75.8
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
62.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
57.0
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
47.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
35.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
31.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
28.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
17.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
14.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
7.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
7.1
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HP 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
7114.2
Number of samples
231
Samples
Sample
Description
TPM
DO23551
73 years, male, NA, stage:3, dead, 150 days
43931.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
42817.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
38774.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
32871.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
31735.5
DO45199
86 years, female, NA, stage:2, alive, 1350 days
31520.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
30468.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
28673.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
28183.3
DO227643
79 years, male, NA, stage:2, alive, 1260 days
28005.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
26030.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
25431.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
23971.3
DO23518
67 years, male, NA, stage:2, alive, 1320 days
23193.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
22466.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
22103.1
DO45261
74 years, male, NA, stage:3, alive, 990 days
21675.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
20732.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
20574.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
19941.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
19185.3
DO45094
76 years, male, NA, stage:3, alive, 1650 days
19100.7
DO48723
73 years, male, NA, stage:1, alive, 600 days
18912.6
DO50805
72 years, male, NA, stage:2, alive, 690 days
18210.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
18116.5
DO45103
47 years, male, NA, stage:3, alive, 450 days
17741.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
17510.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
17060.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
16101.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
15868.6
DO45177
81 years, female, NA, stage:3, alive, 1260 days
15629.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
15451.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
15310.4
DO45159
65 years, male, NA, stage:3, alive, 1470 days
15276.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
15196.6
DO23531
78 years, female, NA, stage:3, alive, 900 days
14646.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
13149.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
13124.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
12791.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
12551.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
12537.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
12428.2
DO48742
76 years, male, NA, stage:2, alive, 600 days
12262.4
DO45201
49 years, male, NA, stage:1, alive, 900 days
12219.4
DO50798
77 years, male, NA, stage:3, dead, 30 days
11993.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
11966.6
DO48704
68 years, female, NA, stage:3, alive, 750 days
11570.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
11486.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
11317.3
DO45141
73 years, male, NA, stage:2, alive, 1320 days
11131.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
10902.7
DO45107
63 years, female, NA, stage:2, alive, 1710 days
10483.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
10443.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
10313.0
DO23514
64 years, male, NA, stage:2, alive, 1290 days
9851.4
DO45101
63 years, male, NA, stage:2, alive, 1680 days
9729.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
9438.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
9197.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
9179.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
9155.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
9147.2
DO45155
69 years, male, NA, stage:2, alive, 2160 days
9026.1
DO45227
57 years, female, NA, stage:2, alive, 1020 days
8952.0
DO45235
68 years, female, NA, stage:1, alive, 900 days
8572.7
DO23543
63 years, male, NA, stage:2, alive, 1020 days
8495.1
DO45181
84 years, female, NA, stage:2, alive, 1200 days
8424.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
8255.6
DO23548
78 years, female, NA, stage:1, alive, 840 days
8241.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
8154.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
8099.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
7821.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
7810.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
7790.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
7699.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
7600.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
7205.4
DO45092
62 years, male, NA, stage:4, dead, 1200 days
7109.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
7040.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
6758.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
6734.7
DO50803
62 years, female, NA, stage:1, alive, 540 days
6687.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
6645.8
DO45221
75 years, female, NA, stage:4, dead, 390 days
6609.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
6572.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
6553.1
DO23534
60 years, male, NA, stage:2, alive, 840 days
6550.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
6361.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
6338.2
DO45139
63 years, male, NA, stage:3, alive, 1320 days
6303.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
6130.1
DO45143
69 years, male, NA, stage:3, alive, 1290 days
6116.1
DO23511
83 years, female, NA, stage:3, dead, 180 days
6062.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
5841.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
5810.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
5768.7
DO48672
81 years, male, NA, stage:2, alive, 450 days
5735.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
5733.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
5699.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
5677.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
5635.4
DO23549
74 years, male, NA, stage:3, alive, 990 days
5630.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
5374.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
5194.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
5176.4
DO23547
74 years, male, NA, stage:1, alive, 1020 days
5094.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
4867.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
4815.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
4788.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
4675.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
4652.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
4631.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
4562.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
4548.3
DO45163
76 years, male, NA, stage:2, alive, 960 days
4495.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
4473.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
4451.0
DO50809
56 years, male, NA, stage:3, dead, 720 days
4358.8
DO45096
69 years, male, NA, stage:2, dead, 1290 days
4304.6
DO23550
69 years, male, NA, stage:1, alive, 990 days
4247.0
DO50793
76 years, male, NA, stage:4, alive, 540 days
4214.4
DO45223
67 years, male, NA, stage:4, alive, 1020 days
4109.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
4077.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
3985.6
DO23542
66 years, male, NA, stage:3, alive, 960 days
3864.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
3833.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
3775.9
DO23532
71 years, female, NA, stage:1, alive, 960 days
3727.7
DO50802
49 years, male, NA, stage:2, alive, 930 days
3678.9
DO50808
68 years, male, NA, stage:2, alive, 570 days
3636.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
3598.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
3568.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
3560.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
3541.8
DO45161
74 years, male, NA, stage:2, dead, 540 days
3394.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3391.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
3306.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
3059.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
3050.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
2992.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
2904.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
2828.9
DO45263
67 years, male, NA, stage:3, dead, 270 days
2814.7
DO50783
62 years, male, NA, stage:3, alive, 480 days
2725.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
2691.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2686.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2637.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
2572.5
DO23529
72 years, male, NA, stage:4, alive, 930 days
2571.9
DO45173
63 years, male, NA, stage:3, alive, 1170 days
2558.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2533.0
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2501.6
DO50811
62 years, male, NA, stage:1, alive, 450 days
2466.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
2290.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2287.4
DO45251
57 years, female, NA, stage:2, alive, 900 days
2171.0
DO50799
66 years, female, NA, stage:2, alive, 540 days
2167.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
2165.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
2138.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
2090.2
DO45225
69 years, male, NA, stage:1, alive, 1050 days
2004.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
1987.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
1986.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
1923.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
1881.7
DO48728
74 years, female, NA, stage:2, alive, 150 days
1798.6
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1490.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
1457.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
1453.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1402.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1264.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1245.4
DO45249
57 years, male, NA, stage:1, alive, 630 days
1226.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
1205.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1180.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
1161.8
DO45183
72 years, female, NA, stage:2, dead, 570 days
1142.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
1081.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
1068.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1038.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
1023.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
1021.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
970.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
954.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
953.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
946.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
905.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
880.1
DO23545
67 years, male, NA, stage:2, dead, 570 days
868.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
836.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
698.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
690.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
686.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
606.5
DO50820
77 years, female, NA, stage:3, alive, 510 days
523.9
DO48715
58 years, female, NA, stage:2, dead, 690 days
512.2
DO45187
32 years, female, NA, stage:1, alive, 1260 days
495.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
490.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
454.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
418.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
393.8
DO45287
74 years, male, NA, stage:1, alive, 390 days
382.4
DO48732
73 years, male, NA, stage:3, alive, 630 days
327.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
305.6
DO50785
37 years, male, NA, stage:4, dead, 90 days
275.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
263.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
233.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
213.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
193.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
169.3
DO45275
65 years, male, NA, stage:3, dead, 10 days
158.6
DO50815
62 years, male, NA, stage:3, alive, 150 days
103.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
66.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
49.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
45.4
DO45277
64 years, male, NA, stage:3, alive, 600 days
44.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
40.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
37.8
DO45245
75 years, female, NA, stage:2, dead, 240 days
36.0
DO48751
68 years, male, NA, stage:2, dead, 480 days
33.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
21.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
20.9
DO45303
62 years, female, NA, stage:3, alive, 990 days
18.2
DO45259
65 years, male, NA, stage:3, alive, 330 days
18.1
DO45285
59 years, male, NA, stage:3, alive, 480 days
16.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
14.5
DO45307
54 years, female, NA, stage:4, dead, 240 days
12.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
10.5
DO45289
78 years, female, NA, stage:3, alive, 360 days
8.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
8.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
4.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
981
Tumor
1.6
218
Normal
1.2
113
Tumor
1.1
937
Tumor
1.0
327
Tumor
1.0
536
Normal
1.0
636
Normal
0.8
723
Tumor
0.8
1015
Tumor
0.8
518
Normal
0.8
142
Normal
0.8
778
Normal
0.8
368
Normal
0.8
554
Normal
0.8
396
Normal
0.7
526
Normal
0.7
391
Tumor
0.7
217
Tumor
0.7
286
Normal
0.6
686
Normal
0.6
857
Tumor
0.6
728
Normal
0.6
124
Normal
0.6
574
Normal
0.6
635
Tumor
0.6
697
Tumor
0.6
568
Normal
0.6
1026
Normal
0.6
866
Normal
0.6
816
Normal
0.6
952
Normal
0.6
392
Normal
0.6
492
Normal
0.5
525
Tumor
0.5
342
Normal
0.5
353
Tumor
0.5
488
Normal
0.5
1016
Normal
0.4
665
Tumor
0.4
746
Normal
0.4
1044
Normal
0.4
228
Normal
0.4
696
Normal
0.4
785
Tumor
0.4
1022
Normal
0.4
514
Normal
0.4
422
Normal
0.4
1045
Tumor
0.4
557
Tumor
0.4
395
Tumor
0.4
344
Normal
0.4
926
Normal
0.4
487
Tumor
0.3
538
Normal
0.3
573
Tumor
0.3
1028
Normal
0.3
474
Normal
0.3
426
Normal
0.3
452
Normal
0.3
938
Normal
0.3
222
Normal
0.3
145
Tumor
0.3
375
Tumor
0.3
484
Normal
0.3
862
Normal
0.3
745
Tumor
0.3
968
Normal
0.3
448
Normal
0.3
1014
Normal
0.3
111
Normal
0.3
863
Tumor
0.3
982
Normal
0.3
196
Normal
0.3
984
Normal
0.3
861
Tumor
0.2
553
Tumor
0.2
195
Tumor
0.2
648
Normal
0.2
358
Normal
0.2
376
Normal
0.2
138
Normal
0.2
1046
Normal
0.2
436
Normal
0.2
744
Normal
0.2
546
Normal
0.2
918
Normal
0.2
954
Normal
0.2
186
Normal
0.1
756
Normal
0.1
777
Tumor
0.1
232
Normal
0.1
558
Normal
0.1
146
Normal
0.1
755
Tumor
0.1
467
Tumor
0.1
722
Normal
0.1
662
Normal
0.1
352
Normal
0.1
414
Normal
0.1
714
Normal
0.1
481
Tumor
0.1
572
Normal
0.1
914
Normal
0.1
412
Normal
0.1
964
Normal
0.1
642
Normal
0.0
944
Normal
0.0
446
Normal
0.0
482
Normal
0.0
738
Normal
0.0
141
Tumor
0.0
223
Tumor
0.0
394
Normal
0.0
513
Tumor
0.0
534
Normal
0.0
564
Normal
0.0
224
Normal
0.0
314
Normal
0.0
956
Normal
0.0
393
Tumor
0.0
298
Normal
0.0
858
Normal
0.0
432
Normal
0.0
966
Normal
0.0
332
Normal
0.0
976
Normal
0.0
955
Tumor
0.0
284
Normal
0.0
356
Normal
0.0
114
Normal
0.0
354
Normal
0.0
698
Normal
-0.1
261
Tumor
-0.1
472
Normal
-0.1
187
Tumor
-0.1
868
Normal
-0.1
387
Tumor
-0.1
713
Tumor
-0.1
616
Normal
-0.1
618
Normal
-0.1
813
Tumor
-0.1
882
Normal
-0.1
786
Normal
-0.1
664
Normal
-0.1
716
Normal
-0.1
878
Normal
-0.1
922
Normal
-0.1
917
Tumor
-0.1
864
Normal
-0.1
528
Normal
-0.1
491
Tumor
-0.1
666
Normal
-0.1
498
Normal
-0.2
128
Normal
-0.2
464
Normal
-0.2
424
Normal
-0.2
916
Normal
-0.2
262
Normal
-0.2
874
Normal
-0.2
466
Normal
-0.2
257
Tumor
-0.2
384
Normal
-0.2
428
Normal
-0.2
468
Normal
-0.3
516
Normal
-0.3
388
Normal
-0.3
126
Normal
-0.3
628
Normal
-0.3
386
Normal
-0.3
523
Tumor
-0.3
456
Normal
-0.3
445
Tumor
-0.3
515
Tumor
-0.3
272
Normal
-0.3
721
Tumor
-0.3
685
Tumor
-0.3
524
Normal
-0.3
258
Normal
-0.3
742
Normal
-0.3
172
Normal
-0.3
957
Tumor
-0.3
364
Normal
-0.3
814
Normal
-0.3
527
Tumor
-0.3
912
Normal
-0.3
497
Tumor
-0.3
451
Tumor
-0.3
1043
Tumor
-0.3
953
Tumor
-0.3
958
Normal
-0.4
963
Tumor
-0.4
132
Normal
-0.4
148
Normal
-0.4
695
Tumor
-0.4
162
Normal
-0.4
1027
Tumor
-0.4
884
Normal
-0.4
627
Tumor
-0.4
494
Normal
-0.4
423
Tumor
-0.4
978
Normal
-0.4
444
Normal
-0.4
1042
Normal
-0.4
447
Tumor
-0.4
425
Tumor
-0.4
278
Normal
-0.5
715
Tumor
-0.5
1013
Tumor
-0.5
297
Tumor
-0.5
1021
Tumor
-0.5
478
Normal
-0.5
924
Normal
-0.5
672
Normal
-0.5
312
Normal
-0.5
615
Tumor
-0.5
1032
Normal
-0.5
724
Normal
-0.5
125
Tumor
-0.5
852
Normal
-0.5
951
Tumor
-0.5
483
Tumor
-0.5
137
Tumor
-0.5
913
Tumor
-0.6
867
Tumor
-0.6
214
Normal
-0.6
1041
Tumor
-0.6
362
Normal
-0.6
967
Tumor
-0.6
328
Normal
-0.6
1025
Tumor
-0.6
975
Tumor
-0.6
915
Tumor
-0.6
231
Tumor
-0.6
313
Tumor
-0.6
455
Tumor
-0.6
433
Tumor
-0.6
411
Tumor
-0.6
545
Tumor
-0.6
341
Tumor
-0.7
212
Normal
-0.7
191
Tumor
-0.7
366
Normal
-0.7
617
Tumor
-0.7
533
Tumor
-0.7
925
Tumor
-0.7
192
Normal
-0.7
535
Tumor
-0.7
921
Tumor
-0.7
567
Tumor
-0.7
421
Tumor
-0.7
283
Tumor
-0.7
477
Tumor
-0.7
361
Tumor
-0.8
462
Normal
-0.8
136
Normal
-0.8
537
Tumor
-0.8
415
Tumor
-0.8
873
Tumor
-0.8
416
Normal
-0.8
343
Tumor
-0.8
385
Tumor
-0.8
221
Tumor
-0.8
147
Tumor
-0.8
517
Tumor
-0.8
112
Tumor
-0.9
741
Tumor
-0.9
563
Tumor
-0.9
185
Tumor
-0.9
188
Normal
-0.9
647
Tumor
-0.9
285
Tumor
-0.9
881
Tumor
-0.9
943
Tumor
-0.9
737
Tumor
-1.0
471
Tumor
-1.0
727
Tumor
-1.0
413
Tumor
-1.0
571
Tumor
-1.0
865
Tumor
-1.0
268
Normal
-1.0
331
Tumor
-1.1
365
Tumor
-1.1
465
Tumor
-1.1
227
Tumor
-1.1
824
Normal
-1.1
383
Tumor
-1.1
357
Tumor
-1.1
434
Normal
-1.1
123
Tumor
-1.2
443
Tumor
-1.2
431
Tumor
-1.2
127
Tumor
-1.2
883
Tumor
-1.2
427
Tumor
-1.2
851
Tumor
-1.2
641
Tumor
-1.2
473
Tumor
-1.2
277
Tumor
-1.2
663
Tumor
-1.2
965
Tumor
-1.2
911
Tumor
-1.3
463
Tumor
-1.3
671
Tumor
-1.3
367
Tumor
-1.3
131
Tumor
-1.3
818
Normal
-1.4
161
Tumor
-1.4
817
Tumor
-1.4
135
Tumor
-1.4
877
Tumor
-1.4
351
Tumor
-1.5
355
Tumor
-1.5
977
Tumor
-1.5
661
Tumor
-1.5
983
Tumor
-1.5
363
Tumor
-1.5
493
Tumor
-1.6
435
Tumor
-1.6
213
Tumor
-1.6
743
Tumor
-1.6
171
Tumor
-1.6
923
Tumor
-1.7
271
Tumor
-1.7
211
Tumor
-1.8
311
Tumor
-1.8
1031
Tumor
-1.9
461
Tumor
-2.0
815
Tumor
-2.1
267
Tumor
-2.1
823
Tumor
-2.2
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.
The Human Protein Atlas project is funded
