We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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 pTPM
14658.5
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
113312.0
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
86068.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
74223.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
61007.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
59049.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
57910.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
57471.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
55977.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
51864.4
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
49568.8
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
48939.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
48304.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
47782.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
46875.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
44158.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
44077.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
44032.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
43609.5
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
43237.6
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
43116.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
42357.2
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
42006.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
41167.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
40913.2
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
40186.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
39701.6
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
39586.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
38478.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
38243.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
38164.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
37610.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
36186.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
35333.3
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
34811.4
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
34371.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
33806.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
33735.5
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
33332.7
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
33245.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
32566.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
32527.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
32509.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
32454.2
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
32442.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
32407.5
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
32067.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
31847.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
31442.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
30751.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
30593.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
30424.8
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
29877.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
29607.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
29296.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
29295.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
28867.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
28330.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
27794.1
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
27696.4
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
27518.9
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
27432.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
27063.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
27053.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
26908.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
26190.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
26172.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
26164.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
25667.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
25238.4
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
24860.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
24840.5
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
24698.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
24443.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
24215.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
23927.5
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
22960.2
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
22880.9
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
22425.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
22180.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
22083.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
21929.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
21892.8
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
21791.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
21712.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
21704.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
21577.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
21484.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
21415.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
21323.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
21321.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
21291.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
21041.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
20961.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
20865.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
20821.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
20593.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
20562.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
20436.9
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
20423.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
20266.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
20262.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
20084.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
19965.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
19769.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
19760.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
19655.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
19638.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
19410.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
19201.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
19051.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
18970.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
18688.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
18650.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
18450.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
18223.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
18153.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
17853.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
17807.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
17779.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
17443.8
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
17216.3
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
17007.5
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
16608.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
16560.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
16501.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
16203.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
16136.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
16117.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
16094.6
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
16093.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
15870.3
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
15836.5
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
15756.9
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
15501.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
15473.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
15226.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
15130.4
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
15117.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
15084.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
14852.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
14571.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
14540.4
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
14246.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
14050.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
13802.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
13755.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
13593.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
13534.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
13426.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
13401.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
13305.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
13186.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
13148.4
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
13101.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
13021.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
12922.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
12828.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
12808.9
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
12633.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
12450.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
12437.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
12370.2
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
12360.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
12334.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
12255.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
12009.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
11855.9
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
11815.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
11695.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
11476.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
11459.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
11399.4
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
11155.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
11144.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
11109.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
11029.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
10731.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
10590.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
10541.9
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
10326.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
10315.1
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
10310.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
10093.6
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
10058.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
10025.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
9974.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
9954.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
9943.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
9938.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
9916.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
9840.0
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
9791.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
9711.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
9505.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
9485.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
9453.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
9307.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
9205.0
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
9169.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
8989.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
8411.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
8402.0
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
8317.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
8141.4
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
8134.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
7699.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
7559.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
7527.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7363.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
7185.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
7055.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
6985.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
6917.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
6898.5
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
6863.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
6860.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
6860.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
6853.5
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
6846.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
6644.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
6598.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
6398.6
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
6369.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
6324.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
6117.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
6042.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
5946.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5934.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
5902.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
5858.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
5705.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
5670.7
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
5563.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
5541.7
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
5426.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
5403.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
5320.3
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
5272.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
5171.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
5146.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
5108.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
5064.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
4997.2
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
4964.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
4909.4
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4847.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4696.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4676.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
4675.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
4548.1
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
4450.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
4299.7
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
4295.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4264.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
4225.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4211.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
4026.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3964.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3955.8
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3952.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3936.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
3933.6
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3871.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3827.5
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3782.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
3779.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
3745.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3667.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
3661.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
3657.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3423.8
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
3414.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3406.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
3271.3
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3260.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3251.3
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3239.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
3177.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
3079.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
2801.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2624.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2585.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2556.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2549.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2549.1
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
2513.3
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
2487.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2479.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
2445.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2430.2
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2421.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
2419.2
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
2329.5
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2325.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2238.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
2235.4
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
2057.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2037.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2032.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2003.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1987.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
1978.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1913.1
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
1808.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
1762.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1744.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
1681.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1658.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1637.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1631.8
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1616.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
1550.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
1478.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1456.5
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1446.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1286.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
1241.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1211.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
1203.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
1198.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1194.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1157.1
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1051.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
1030.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
968.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
959.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
877.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
848.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
772.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
752.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
734.9
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
723.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
719.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
631.5
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
596.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
588.3
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
528.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
515.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
478.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
415.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
366.5
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
360.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
309.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
262.2
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
260.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
212.7
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
209.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
191.2
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
157.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
99.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
87.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
75.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
67.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
55.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
42.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
37.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
34.3
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
20.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
17.5
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
8.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
8.4
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 pTPM
11586.4
Number of samples
231
Samples
Sample
Description
pTPM
DO23551
73 years, male, NA, stage:3, dead, 150 days
68010.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
59136.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
57444.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
53996.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
53313.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
48367.0
DO50776
75 years, male, NA, stage:1, alive, 690 days
43935.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
43814.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
43814.0
DO45229
74 years, male, NA, stage:1, alive, 990 days
43695.0
DO50800
74 years, male, NA, stage:2, alive, 510 days
43649.5
DO45215
65 years, male, NA, stage:2, alive, 1170 days
40410.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
37792.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
37235.5
DO45109
63 years, male, NA, stage:2, alive, 1590 days
35239.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
34781.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
34548.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
31823.0
DO45095
66 years, male, NA, stage:2, alive, 1620 days
31760.8
DO23517
62 years, male, NA, stage:2, alive, 1200 days
30828.9
DO45159
65 years, male, NA, stage:3, alive, 1470 days
30498.9
DO45094
76 years, male, NA, stage:3, alive, 1650 days
30324.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
29060.3
DO45103
47 years, male, NA, stage:3, alive, 450 days
28866.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
28431.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
28386.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
27424.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
26585.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
26326.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
26214.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
26055.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
25657.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
25304.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
24983.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
24355.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
23406.0
DO45117
73 years, female, NA, stage:2, dead, 1110 days
21915.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
20823.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
20665.3
DO45125
58 years, male, NA, stage:3, alive, 1680 days
20063.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
19780.9
DO50825
70 years, male, NA, stage:2, alive, 390 days
19747.9
DO45111
74 years, male, NA, stage:2, alive, 1590 days
19732.4
DO50819
72 years, female, NA, stage:2, alive, 510 days
19697.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
19591.2
DO45141
73 years, male, NA, stage:2, alive, 1320 days
19415.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
19031.9
DO50822
66 years, male, NA, stage:2, alive, 510 days
18871.6
DO45155
69 years, male, NA, stage:2, alive, 2160 days
18715.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
18591.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
18376.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
18254.9
DO23514
64 years, male, NA, stage:2, alive, 1290 days
17762.1
DO23546
63 years, male, NA, stage:2, alive, 1050 days
17407.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
16877.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
16506.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
16271.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
15718.8
DO48721
58 years, female, NA, stage:1, alive, 900 days
15513.8
DO45227
57 years, female, NA, stage:2, alive, 1020 days
15460.5
DO23543
63 years, male, NA, stage:2, alive, 1020 days
15335.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
15248.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
15200.1
DO45235
68 years, female, NA, stage:1, alive, 900 days
15148.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
14828.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
14552.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
14523.3
DO50787
63 years, male, NA, stage:3, alive, 480 days
14444.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
14386.6
DO23525
71 years, male, NA, stage:4, alive, 1050 days
14078.9
DO23509
60 years, male, NA, stage:3, dead, 780 days
13993.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
13742.7
DO50791
79 years, female, NA, stage:1, dead, 480 days
13735.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
13626.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
12984.4
DO45135
77 years, male, NA, stage:1, alive, 1410 days
12591.1
DO45139
63 years, male, NA, stage:3, alive, 1320 days
12493.7
DO23538
67 years, male, NA, stage:2, alive, 450 days
12416.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
12066.3
DO50857
72 years, male, NA, stage:2, alive, 210 days
12007.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
11972.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
11689.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
11314.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
11094.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
11081.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
11065.6
DO50803
62 years, female, NA, stage:1, alive, 540 days
10638.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
10342.8
DO48761
55 years, male, NA, stage:2, alive, 870 days
10275.2
DO45255
81 years, male, NA, stage:3, alive, 720 days
10251.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
10215.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
10086.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
9933.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
9874.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
9773.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
9530.6
DO50840
49 years, male, NA, stage:2, alive, 330 days
9475.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
9442.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
9441.3
DO48672
81 years, male, NA, stage:2, alive, 450 days
9379.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
9246.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
9113.3
DO23511
83 years, female, NA, stage:3, dead, 180 days
8864.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
8841.8
DO23512
60 years, male, NA, stage:1, alive, 1260 days
8800.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
8665.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
8333.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
8024.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
7801.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
7781.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
7470.4
DO48746
76 years, male, NA, stage:3, alive, 570 days
7446.9
DO45105
61 years, male, NA, stage:1, alive, 1680 days
7398.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
7390.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
7316.8
DO50793
76 years, male, NA, stage:4, alive, 540 days
7185.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
7163.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
7093.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
7084.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
7027.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
7027.5
DO23550
69 years, male, NA, stage:1, alive, 990 days
6622.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
6544.4
DO23508
79 years, female, NA, stage:2, alive, 390 days
6403.6
DO23532
71 years, female, NA, stage:1, alive, 960 days
6271.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
6258.9
DO45165
75 years, male, NA, stage:2, alive, 690 days
6241.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
6141.9
DO48695
77 years, male, NA, stage:2, alive, 720 days
6108.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
6053.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
6009.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
5912.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
5810.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
5752.8
DO45243
74 years, female, NA, stage:3, alive, 930 days
5593.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
5532.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5423.3
DO23537
79 years, male, NA, stage:2, dead, 900 days
5290.3
DO50839
47 years, female, NA, stage:3, alive, 330 days
5242.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
5237.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
5195.9
DO23526
66 years, male, NA, stage:3, alive, 1050 days
5018.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
4958.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
4742.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
4685.6
DO23524
71 years, female, NA, stage:2, alive, 1050 days
4634.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
4628.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
4622.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
4402.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
4395.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
4173.3
DO45173
63 years, male, NA, stage:3, alive, 1170 days
4084.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
3986.3
DO50783
62 years, male, NA, stage:3, alive, 480 days
3962.3
DO50811
62 years, male, NA, stage:1, alive, 450 days
3924.2
DO45239
42 years, male, NA, stage:2, alive, 870 days
3921.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
3775.0
DO48719
80 years, male, NA, stage:2, alive, 690 days
3676.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
3614.9
DO45237
58 years, male, NA, stage:2, alive, 900 days
3504.7
DO50814
83 years, male, NA, stage:3, alive, 420 days
3258.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
3252.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
3229.0
DO48706
72 years, male, NA, stage:2, alive, 870 days
2834.8
DO48741
64 years, male, NA, stage:3, alive, 240 days
2689.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
2655.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
2508.9
DO45249
57 years, male, NA, stage:1, alive, 630 days
2506.7
DO48720
62 years, female, NA, stage:2, alive, 570 days
2435.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
2306.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2285.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
2267.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2163.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1966.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
1936.8
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1932.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
1927.6
DO45267
73 years, male, NA, stage:3, dead, 570 days
1906.5
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1876.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
1850.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1812.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
1730.4
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1717.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
1697.5
DO48717
54 years, male, NA, stage:4, dead, 180 days
1580.9
DO50855
47 years, male, NA, stage:2, alive, 570 days
1569.1
DO50804
81 years, male, NA, stage:2, alive, 720 days
1567.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1480.7
DO23521
63 years, male, NA, stage:3, alive, 1110 days
1385.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
1315.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
1201.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
1136.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
975.9
DO48747
62 years, male, NA, stage:3, alive, 540 days
962.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
853.3
DO45247
31 years, female, NA, stage:2, alive, 210 days
847.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
804.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
799.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
793.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
788.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
770.6
DO48732
73 years, male, NA, stage:3, alive, 630 days
727.3
DO45209
70 years, male, NA, stage:4, alive, 1350 days
529.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
473.8
DO45193
68 years, female, NA, stage:4, dead, 120 days
389.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
384.4
DO50785
37 years, male, NA, stage:4, dead, 90 days
370.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
298.7
DO45093
71 years, male, NA, stage:2, dead, 720 days
287.4
DO45145
78 years, male, NA, stage:3, dead, 60 days
264.4
DO50815
62 years, male, NA, stage:3, alive, 150 days
204.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
138.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
102.7
DO45279
67 years, male, NA, stage:3, alive, 1290 days
94.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
90.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
75.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
74.2
DO23523
52 years, male, NA, stage:3, alive, 1080 days
66.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
50.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
45.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
35.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
33.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
31.1
DO45299
70 years, female, NA, stage:1, alive, 1440 days
25.0
DO45285
59 years, male, NA, stage:3, alive, 480 days
22.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
20.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
17.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
16.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
13.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
7.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3.4
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
