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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.
ORM1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
7670.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
45425.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
38712.5
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
33041.9
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
32802.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
32038.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
30018.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
28597.1
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
27974.3
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
26841.0
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
26298.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
25291.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
25288.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
25183.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
25049.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
24887.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
24834.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
24594.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
24443.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
24337.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
22648.7
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
21935.7
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
21499.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
21368.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
21171.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
20914.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
20851.9
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
20744.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
20431.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
19953.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
19501.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
19385.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
19244.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
19205.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
19126.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
18560.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
18284.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
17658.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
17438.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
17415.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
17388.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
17303.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
17059.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
17025.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
15894.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
15667.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
15545.3
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
15273.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
15112.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
14544.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
14491.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
14154.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
14148.5
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
14098.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
13711.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
13645.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
13623.9
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
13447.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
13124.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
13078.3
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
13023.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
12971.8
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
12771.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
12686.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
12657.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
12590.1
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
12541.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
12395.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
12368.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
12327.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
12147.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
12142.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
11900.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
11797.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
11688.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
11560.4
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
11466.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
11456.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
11430.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
11330.6
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
11108.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
10925.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
10728.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
10699.4
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
10656.8
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
10488.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
10389.7
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
10276.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
10232.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
10204.4
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
10200.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
10142.8
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
10133.2
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
10032.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
9877.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
9816.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
9736.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
9620.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
9454.4
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
9342.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
9308.6
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
9294.3
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
9166.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
9042.7
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
9039.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
8778.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
8765.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
8684.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
8614.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
8592.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
8572.7
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
8526.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
8451.4
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
8410.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
8402.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
8391.1
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
8355.0
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
8326.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
8293.2
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
8192.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
8183.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
8103.7
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
8094.0
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
7942.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
7933.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
7879.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
7871.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
7838.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
7833.2
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
7823.0
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
7748.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
7694.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
7590.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
7508.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
7435.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
7423.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
7420.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
7389.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
7386.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
7381.3
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
7355.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
7346.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
7329.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
7319.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
7280.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
7239.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
7231.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
7208.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
7186.4
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
7109.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
6947.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
6876.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
6827.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
6815.9
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6680.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
6617.7
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
6578.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
6434.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
6405.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
6364.1
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
6347.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
6337.1
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
6285.1
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
6277.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
6266.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
6255.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
6036.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
6011.7
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
5964.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
5897.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
5796.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5765.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
5737.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
5713.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
5703.7
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
5688.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
5632.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
5604.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
5562.1
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
5528.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
5520.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
5496.7
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
5435.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
5398.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
5328.1
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
5311.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
5249.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
5203.5
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
5184.7
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
5174.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
5163.8
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
5160.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
5141.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
5112.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
5066.2
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
5020.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4960.8
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
4947.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
4867.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
4857.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4834.5
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4799.1
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
4796.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
4766.4
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
4737.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
4721.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
4659.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
4653.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
4644.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
4638.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
4618.9
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
4579.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
4509.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
4459.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
4452.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4409.4
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
4397.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
4388.8
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
4366.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
4235.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
4230.0
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
4224.1
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
4201.7
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
4126.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
4089.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
4074.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4067.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
4059.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
4054.1
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
3967.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
3954.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
3943.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
3827.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
3693.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3644.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3630.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
3629.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3610.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3569.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
3552.1
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3549.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3511.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3464.9
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
3455.8
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
3430.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3325.1
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3287.3
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3283.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
3117.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
3109.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3080.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
3071.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
3039.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3024.6
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
3024.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3020.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3019.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3000.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
2980.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2978.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2937.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
2929.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2884.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2880.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
2870.9
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
2864.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2845.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
2842.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2842.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2794.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2793.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
2786.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2776.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2747.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2720.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2704.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
2703.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
2699.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2696.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2694.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2641.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2577.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
2493.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2374.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2345.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
2312.2
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
2310.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
2225.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2211.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
2205.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
2130.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2088.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2083.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1996.5
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1971.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1965.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1958.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1927.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1919.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
1916.9
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
1841.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1829.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1816.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1813.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1806.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1786.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1781.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1769.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1741.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
1679.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
1667.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
1665.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1665.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1630.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1625.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1567.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1559.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
1520.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1518.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1507.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1498.6
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1355.4
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
1344.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1299.3
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1250.8
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1233.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1231.6
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1223.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1223.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
1217.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1186.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1138.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1088.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1042.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1041.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
1031.0
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1024.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1006.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
923.9
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
888.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
888.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
857.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
775.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
771.6
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
756.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
716.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
702.9
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
547.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
543.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
430.2
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
377.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
353.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
332.6
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
316.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
208.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
185.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
128.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
37.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
34.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
18.8
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
14.4
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
6.7
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.
ORM1 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 pTPM
5139.8
Number of samples
231
Samples
Sample
Description
pTPM
DO45153
77 years, female, NA, stage:2, alive, 1380 days
26291.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
24821.0
DO23551
73 years, male, NA, stage:3, dead, 150 days
21866.3
DO48716
71 years, male, NA, stage:2, alive, 720 days
21626.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
19858.9
DO48717
54 years, male, NA, stage:4, dead, 180 days
18426.3
DO227801
77 years, female, NA, stage:1, alive, 660 days
17719.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
17476.0
DO45135
77 years, male, NA, stage:1, alive, 1410 days
17276.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
17041.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
16841.8
DO48701
78 years, male, NA, stage:2, alive, 780 days
16371.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
15063.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
14074.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
14060.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
13380.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
13364.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
12403.1
DO45257
46 years, male, NA, stage:3, alive, 810 days
12329.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
12249.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
11911.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
11885.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
11852.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
11843.1
DO45215
65 years, male, NA, stage:2, alive, 1170 days
11807.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
11283.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
10496.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
10318.5
DO48728
74 years, female, NA, stage:2, alive, 150 days
10119.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
10005.5
DO48721
58 years, female, NA, stage:1, alive, 900 days
9989.5
DO50807
67 years, male, NA, stage:1, alive, 540 days
9974.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
9786.5
DO48700
78 years, female, NA, stage:2, alive, 810 days
9730.2
DO48704
68 years, female, NA, stage:3, alive, 750 days
9671.7
DO45209
70 years, male, NA, stage:4, alive, 1350 days
9642.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
9585.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
9259.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
9181.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
9174.5
DO48682
72 years, female, NA, stage:3, dead, 120 days
9112.6
DO50819
72 years, female, NA, stage:2, alive, 510 days
8757.8
DO45143
69 years, male, NA, stage:3, alive, 1290 days
8453.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
8385.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
8319.8
DO45263
67 years, male, NA, stage:3, dead, 270 days
8037.6
DO23541
65 years, male, NA, stage:2, alive, 930 days
8016.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
7983.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
7976.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
7898.7
DO45261
74 years, male, NA, stage:3, alive, 990 days
7894.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
7802.2
DO23527
72 years, male, NA, stage:1, alive, 1050 days
7595.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
7416.1
DO45157
62 years, male, NA, stage:2, alive, 1980 days
7326.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
7066.4
DO48737
52 years, male, NA, stage:1, alive, 720 days
6913.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
6852.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
6804.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
6783.3
DO45096
69 years, male, NA, stage:2, dead, 1290 days
6764.3
DO48743
69 years, female, NA, stage:2, alive, 570 days
6744.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
6609.8
DO45213
58 years, male, NA, stage:1, alive, 1200 days
6492.9
DO50818
65 years, male, NA, stage:2, alive, 510 days
6458.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
6437.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
6347.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
6344.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
6291.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
6188.3
DO48723
73 years, male, NA, stage:1, alive, 600 days
6181.8
DO50787
63 years, male, NA, stage:3, alive, 480 days
6050.4
DO48736
76 years, female, NA, stage:1, alive, 600 days
6023.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
5871.3
DO48706
72 years, male, NA, stage:2, alive, 870 days
5806.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
5731.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
5664.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
5606.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
5422.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
5385.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
5352.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
5293.1
DO50855
47 years, male, NA, stage:2, alive, 570 days
5247.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
5089.7
DO45207
68 years, male, NA, stage:1, alive, 1050 days
5027.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
4927.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
4884.3
DO45091
56 years, male, NA, stage:2, dead, 1320 days
4815.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
4811.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
4703.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
4703.2
DO48672
81 years, male, NA, stage:2, alive, 450 days
4664.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
4634.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
4616.1
DO48761
55 years, male, NA, stage:2, alive, 870 days
4605.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
4593.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
4562.5
DO45165
75 years, male, NA, stage:2, alive, 690 days
4555.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4549.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
4464.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
4454.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
4437.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
4402.9
DO48741
64 years, male, NA, stage:3, alive, 240 days
4399.4
DO45217
69 years, female, NA, stage:3, dead, 270 days
4395.3
DO45231
84 years, male, NA, stage:2, alive, 930 days
4232.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
4218.8
DO23535
67 years, male, NA, stage:1, alive, 960 days
4191.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
4175.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
4164.8
DO45201
49 years, male, NA, stage:1, alive, 900 days
4120.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
4105.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
4067.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
4058.8
DO48712
50 years, male, NA, stage:2, alive, 810 days
3948.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
3851.6
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3823.3
DO48747
62 years, male, NA, stage:3, alive, 540 days
3812.5
DO23538
67 years, male, NA, stage:2, alive, 450 days
3711.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
3709.1
DO48730
73 years, female, NA, stage:2, alive, 630 days
3709.0
DO50820
77 years, female, NA, stage:3, alive, 510 days
3697.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
3673.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
3634.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
3578.8
DO45253
50 years, male, NA, stage:2, alive, 870 days
3406.3
DO23536
56 years, male, NA, stage:2, alive, 930 days
3376.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
3347.3
DO45179
78 years, female, NA, stage:2, alive, 600 days
3320.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
3126.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
3100.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
3047.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3042.5
DO45119
74 years, male, NA, stage:3, dead, 510 days
3008.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2993.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
2958.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
2852.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2837.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
2781.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2702.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2574.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
2551.2
DO23549
74 years, male, NA, stage:3, alive, 990 days
2545.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
2542.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
2527.7
DO48759
73 years, male, NA, stage:3, alive, 720 days
2512.2
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2425.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
2354.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
2330.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2312.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
2267.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
2240.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
2231.3
DO45111
74 years, male, NA, stage:2, alive, 1590 days
2197.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
2180.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
2165.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
2149.2
DO48746
76 years, male, NA, stage:3, alive, 570 days
2120.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2105.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
2089.6
DO23537
79 years, male, NA, stage:2, dead, 900 days
2071.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
1981.6
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1977.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
1941.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
1933.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
1870.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1834.3
DO23542
66 years, male, NA, stage:3, alive, 960 days
1821.0
DO50806
70 years, male, NA, stage:4, alive, 540 days
1793.3
DO50804
81 years, male, NA, stage:2, alive, 720 days
1773.9
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1754.5
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1749.7
DO23513
76 years, male, NA, stage:3, alive, 1200 days
1741.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
1697.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1679.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
1641.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1588.2
DO50783
62 years, male, NA, stage:3, alive, 480 days
1554.4
DO50839
47 years, female, NA, stage:3, alive, 330 days
1540.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
1514.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
1510.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
1499.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
1439.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1422.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
1420.8
DO45093
71 years, male, NA, stage:2, dead, 720 days
1396.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1396.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1319.0
DO45251
57 years, female, NA, stage:2, alive, 900 days
1271.3
DO48732
73 years, male, NA, stage:3, alive, 630 days
1247.3
DO45193
68 years, female, NA, stage:4, dead, 120 days
1222.9
DO45163
76 years, male, NA, stage:2, alive, 960 days
1165.3
DO45185
89 years, male, NA, stage:2, alive, 600 days
1155.0
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1110.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1084.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1042.4
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1023.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
898.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
895.9
DO48757
68 years, female, NA, stage:3, alive, 480 days
895.7
DO23516
69 years, male, NA, stage:3, dead, 20 days
879.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
868.1
DO45259
65 years, male, NA, stage:3, alive, 330 days
848.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
807.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
799.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
743.0
DO23519
65 years, male, NA, stage:3, alive, 630 days
640.5
DO45205
67 years, female, NA, stage:2, dead, 90 days
613.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
612.0
DO45275
65 years, male, NA, stage:3, dead, 10 days
605.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
571.7
DO48751
68 years, male, NA, stage:2, dead, 480 days
413.4
DO45305
66 years, male, NA, stage:4, alive, 300 days
290.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
289.7
DO48719
80 years, male, NA, stage:2, alive, 690 days
246.7
DO45269
59 years, male, NA, stage:3, alive, 750 days
241.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
233.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
231.0
DO45277
64 years, male, NA, stage:3, alive, 600 days
223.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
192.6
DO45279
67 years, male, NA, stage:3, alive, 1290 days
34.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
30.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
28.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
18.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
14.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
14.2
DO45303
62 years, female, NA, stage:3, alive, 990 days
12.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
9.9
DO45289
78 years, female, NA, stage:3, alive, 360 days
6.6
DO45211
76 years, male, NA, stage:3, alive, 240 days
6.0
DO45307
54 years, female, NA, stage:4, dead, 240 days
5.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
2.3
491
Tumor
1.9
877
Tumor
1.6
523
Tumor
1.4
223
Tumor
1.4
125
Tumor
1.3
671
Tumor
1.3
391
Tumor
1.2
218
Normal
1.1
217
Tumor
1.1
375
Tumor
0.9
224
Normal
0.9
396
Normal
0.8
392
Normal
0.8
813
Tumor
0.8
286
Normal
0.8
778
Normal
0.7
524
Normal
0.7
573
Tumor
0.7
395
Tumor
0.7
283
Tumor
0.7
713
Tumor
0.7
536
Normal
0.7
526
Normal
0.7
368
Normal
0.7
785
Tumor
0.6
672
Normal
0.6
1026
Normal
0.6
344
Normal
0.6
697
Tumor
0.6
815
Tumor
0.6
487
Tumor
0.6
857
Tumor
0.5
953
Tumor
0.5
192
Normal
0.5
113
Tumor
0.5
228
Normal
0.5
467
Tumor
0.5
195
Tumor
0.5
636
Normal
0.5
866
Normal
0.5
124
Normal
0.5
558
Normal
0.5
817
Tumor
0.5
816
Normal
0.5
937
Tumor
0.5
723
Tumor
0.5
777
Tumor
0.5
488
Normal
0.4
728
Normal
0.4
535
Tumor
0.4
393
Tumor
0.4
686
Normal
0.4
982
Normal
0.4
968
Normal
0.4
554
Normal
0.4
884
Normal
0.4
863
Tumor
0.4
425
Tumor
0.4
635
Tumor
0.4
665
Tumor
0.4
352
Normal
0.3
497
Tumor
0.3
696
Normal
0.3
574
Normal
0.3
142
Normal
0.3
525
Tumor
0.3
327
Tumor
0.3
498
Normal
0.3
568
Normal
0.3
514
Normal
0.3
557
Tumor
0.3
967
Tumor
0.3
285
Tumor
0.3
426
Normal
0.3
851
Tumor
0.3
517
Tumor
0.3
1015
Tumor
0.3
461
Tumor
0.3
422
Normal
0.3
567
Tumor
0.3
111
Normal
0.3
546
Normal
0.3
981
Tumor
0.3
1045
Tumor
0.3
376
Normal
0.3
553
Tumor
0.2
952
Normal
0.2
814
Normal
0.2
917
Tumor
0.2
148
Normal
0.2
394
Normal
0.2
518
Normal
0.2
685
Tumor
0.2
474
Normal
0.2
481
Tumor
0.2
746
Normal
0.2
191
Tumor
0.2
446
Normal
0.2
492
Normal
0.2
862
Normal
0.2
1016
Normal
0.2
528
Normal
0.2
448
Normal
0.1
627
Tumor
0.1
924
Normal
0.1
744
Normal
0.1
722
Normal
0.1
332
Normal
0.1
353
Tumor
0.1
527
Tumor
0.1
342
Normal
0.1
618
Normal
0.1
384
Normal
0.1
135
Tumor
0.1
1046
Normal
0.1
666
Normal
0.1
642
Normal
0.1
1022
Normal
0.1
572
Normal
0.1
187
Tumor
0.1
227
Tumor
0.1
141
Tumor
0.1
648
Normal
0.1
232
Normal
0.1
538
Normal
0.1
452
Normal
0.1
975
Tumor
0.1
663
Tumor
0.1
786
Normal
0.1
964
Normal
0.1
385
Tumor
0.0
823
Tumor
0.0
114
Normal
0.0
1044
Normal
0.0
358
Normal
0.0
482
Normal
0.0
1028
Normal
0.0
926
Normal
0.0
447
Tumor
0.0
456
Normal
0.0
222
Normal
0.0
954
Normal
0.0
484
Normal
0.0
1043
Tumor
0.0
126
Normal
0.0
868
Normal
0.0
662
Normal
0.0
918
Normal
0.0
468
Normal
0.0
874
Normal
0.0
616
Normal
0.0
464
Normal
0.0
745
Tumor
0.0
938
Normal
0.0
472
Normal
0.0
331
Tumor
-0.1
365
Tumor
-0.1
367
Tumor
-0.1
714
Normal
-0.1
955
Tumor
-0.1
858
Normal
-0.1
444
Normal
-0.1
351
Tumor
-0.1
956
Normal
-0.1
664
Normal
-0.1
212
Normal
-0.1
966
Normal
-0.1
818
Normal
-0.1
882
Normal
-0.1
462
Normal
-0.1
424
Normal
-0.1
695
Tumor
-0.1
545
Tumor
-0.1
861
Tumor
-0.1
455
Tumor
-0.1
944
Normal
-0.1
963
Tumor
-0.1
423
Tumor
-0.1
257
Tumor
-0.1
912
Normal
-0.1
615
Tumor
-0.2
221
Tumor
-0.2
414
Normal
-0.2
983
Tumor
-0.2
984
Normal
-0.2
881
Tumor
-0.2
471
Tumor
-0.2
1025
Tumor
-0.2
951
Tumor
-0.2
196
Normal
-0.2
824
Normal
-0.2
755
Tumor
-0.2
563
Tumor
-0.2
943
Tumor
-0.2
878
Normal
-0.2
267
Tumor
-0.2
494
Normal
-0.2
297
Tumor
-0.2
172
Normal
-0.2
386
Normal
-0.2
138
Normal
-0.2
564
Normal
-0.2
922
Normal
-0.3
145
Tumor
-0.3
388
Normal
-0.3
258
Normal
-0.3
741
Tumor
-0.3
433
Tumor
-0.3
742
Normal
-0.3
756
Normal
-0.3
341
Tumor
-0.3
428
Normal
-0.3
537
Tumor
-0.3
883
Tumor
-0.3
284
Normal
-0.3
571
Tumor
-0.3
976
Normal
-0.3
314
Normal
-0.3
852
Normal
-0.3
513
Tumor
-0.3
515
Tumor
-0.3
136
Normal
-0.3
383
Tumor
-0.3
628
Normal
-0.3
112
Tumor
-0.3
445
Tumor
-0.3
214
Normal
-0.4
466
Normal
-0.4
913
Tumor
-0.4
262
Normal
-0.4
716
Normal
-0.4
617
Tumor
-0.4
128
Normal
-0.4
432
Normal
-0.4
268
Normal
-0.4
412
Normal
-0.4
261
Tumor
-0.4
721
Tumor
-0.4
186
Normal
-0.4
298
Normal
-0.4
865
Tumor
-0.4
914
Normal
-0.4
355
Tumor
-0.4
534
Normal
-0.4
364
Normal
-0.4
923
Tumor
-0.4
916
Normal
-0.4
1014
Normal
-0.4
698
Normal
-0.4
132
Normal
-0.4
434
Normal
-0.4
965
Tumor
-0.4
915
Tumor
-0.4
162
Normal
-0.4
421
Tumor
-0.5
147
Tumor
-0.5
328
Normal
-0.5
354
Normal
-0.5
366
Normal
-0.5
978
Normal
-0.5
483
Tumor
-0.5
873
Tumor
-0.5
911
Tumor
-0.5
724
Normal
-0.5
313
Tumor
-0.5
463
Tumor
-0.5
921
Tumor
-0.5
647
Tumor
-0.5
213
Tumor
-0.5
363
Tumor
-0.6
146
Normal
-0.6
864
Normal
-0.6
516
Normal
-0.6
356
Normal
-0.6
715
Tumor
-0.6
415
Tumor
-0.6
737
Tumor
-0.6
641
Tumor
-0.6
743
Tumor
-0.6
416
Normal
-0.6
957
Tumor
-0.6
312
Normal
-0.6
277
Tumor
-0.6
738
Normal
-0.6
185
Tumor
-0.6
272
Normal
-0.6
925
Tumor
-0.6
958
Normal
-0.7
161
Tumor
-0.7
867
Tumor
-0.7
131
Tumor
-0.7
123
Tumor
-0.7
1027
Tumor
-0.7
211
Tumor
-0.7
137
Tumor
-0.7
1041
Tumor
-0.7
727
Tumor
-0.7
278
Normal
-0.7
188
Normal
-0.8
387
Tumor
-0.8
311
Tumor
-0.8
478
Normal
-0.8
1021
Tumor
-0.8
413
Tumor
-0.8
451
Tumor
-0.8
127
Tumor
-0.9
1032
Normal
-0.9
362
Normal
-0.9
1042
Normal
-0.9
361
Tumor
-0.9
465
Tumor
-0.9
493
Tumor
-0.9
977
Tumor
-0.9
431
Tumor
-1.0
271
Tumor
-1.0
231
Tumor
-1.0
357
Tumor
-1.0
411
Tumor
-1.0
661
Tumor
-1.0
427
Tumor
-1.0
1013
Tumor
-1.1
436
Normal
-1.1
443
Tumor
-1.1
533
Tumor
-1.1
473
Tumor
-1.1
171
Tumor
-1.2
477
Tumor
-1.2
1031
Tumor
-1.5
435
Tumor
-1.7
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
