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.
ALB is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.63
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.017
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.
52%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
40%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
32792.0
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
155834.0
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
119678.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
114850.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
112656.0
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
110396.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
105656.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
103143.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
100627.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
99147.8
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
98438.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
97933.7
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
97396.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
91562.5
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
90721.6
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
89893.0
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
82611.2
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
82279.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
81882.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
81353.5
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
78595.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
76830.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
76164.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
75656.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
75413.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
75020.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
73786.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
73497.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
73364.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
72406.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
72284.2
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
71864.7
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
70806.2
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
70043.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
69484.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
68513.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
66811.2
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
66807.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
65887.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
65641.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
64867.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
63981.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
63198.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
62981.5
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
62739.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
62172.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
61153.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
60939.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
60346.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
59929.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
59906.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
59883.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
59655.1
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
59287.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
58903.9
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
58155.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
57955.4
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
57855.5
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
57807.9
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
57135.3
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
56264.5
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
54754.9
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
54142.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
54059.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
53830.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
53373.3
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
53360.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
53241.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
52473.7
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
51398.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
51195.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
51103.7
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
51099.0
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
50770.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
50694.2
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
50373.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
50146.9
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
50121.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
50110.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
48640.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
48341.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
48081.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
47848.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
47722.0
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
47687.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
47520.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
47318.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
47269.2
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
47227.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
47133.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
46828.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
45714.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
45331.3
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
45147.0
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
45040.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
44958.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
43837.5
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
43423.9
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
42918.9
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
42735.2
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
42599.9
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
41946.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
41705.2
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
41691.7
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
41525.7
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
41355.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
40930.0
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
40712.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
40293.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
40213.8
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
40025.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
38568.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
38309.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
37858.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
37849.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
37816.1
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
37756.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
37599.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
37355.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
37147.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
37070.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
36681.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
36425.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
36377.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
36226.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
35904.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
35555.7
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
34741.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
34714.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
34558.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
34443.7
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
34439.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
34080.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
33689.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
33653.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
33381.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
33354.0
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
33256.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
33012.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
32973.3
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
32858.3
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
32801.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
32682.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
32506.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
32408.5
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
32064.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
32058.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
31989.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
31662.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
31659.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
31483.2
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
31205.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
30973.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
30833.7
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
30810.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
30672.8
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
30602.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
30566.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
30462.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
30008.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
29976.8
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
29779.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
29760.1
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
29753.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
29719.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
29675.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
29429.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
29306.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
29229.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
28935.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
28738.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
28686.5
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
28638.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
28633.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
28601.0
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
28546.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
28017.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
27739.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
27672.8
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
27636.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
27491.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
27462.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
27313.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
27296.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
27244.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
27220.2
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
26716.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
26534.1
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
26409.0
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
26268.8
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
25837.2
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
25689.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
25404.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
25319.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
25241.7
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
25005.1
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
24877.7
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
24862.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
24856.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
24543.4
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
24484.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
24445.2
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
24434.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
24381.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
24201.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
23890.6
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
23747.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
23710.0
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
23625.9
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
23530.9
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
23524.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
23339.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
23123.6
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
23054.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
22766.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
22755.8
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
22725.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
22701.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
22636.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
22431.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
22361.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
22264.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
22235.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
22108.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
21875.7
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
21819.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
21785.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
21781.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
21666.0
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
21114.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
21051.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
21012.7
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
20956.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
20609.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
20385.1
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
20353.5
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
20188.9
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
19908.0
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
19745.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
19735.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
19695.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
19600.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
19270.4
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
19233.0
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
19029.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
18707.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
18635.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
18424.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
18252.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
18144.7
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
18107.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
17829.7
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
17758.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
17621.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
17194.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
16982.8
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
16881.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
16844.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
16748.7
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
16601.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
16558.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
16521.2
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
16386.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
16285.5
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
16104.6
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
15509.1
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
15389.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
15244.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
15202.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
15046.4
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
15007.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
14942.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
14939.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
14936.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
14783.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
14577.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
14305.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
14242.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
14098.2
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
13989.5
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
13945.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
13862.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
13653.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
13430.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
13222.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
13063.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
13019.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
12884.7
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
12851.0
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
12828.5
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
12810.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
12696.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
12692.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
12197.7
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
11964.0
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
11576.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
11500.7
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
11452.2
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
11391.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
11155.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
11038.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
10986.8
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
10171.1
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
10027.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
9821.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
9714.1
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
9511.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
9247.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
9121.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
9032.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
8828.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
8398.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
8388.7
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
8179.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
8130.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
7838.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
7804.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
7710.1
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
7660.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
7585.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
7385.3
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
7363.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
7314.3
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
6973.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
6748.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
6659.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6619.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
6588.3
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
6362.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
6051.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
5488.1
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5470.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
4971.8
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
4432.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3923.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
3920.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3910.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
3491.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
3257.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
3257.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2919.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
2747.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2742.0
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
2635.4
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
2223.9
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1936.8
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
1883.7
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1600.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
1425.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1271.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1197.3
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
1149.4
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
472.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
447.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
335.1
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
327.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
231.7
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
78.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
48.7
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
38.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
35.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
19.7
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
ALB is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 2.14
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0036
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
0%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
58%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
31853.1
Number of samples
231
Samples
Sample
Description
TPM
DO23531
78 years, female, NA, stage:3, alive, 900 days
127607.0
DO48727
81 years, female, NA, stage:2, dead, 390 days
126247.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
115594.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
114292.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
108057.0
DO45233
83 years, male, NA, stage:3, alive, 900 days
108008.0
DO45181
84 years, female, NA, stage:2, alive, 1200 days
107421.0
DO227643
79 years, male, NA, stage:2, alive, 1260 days
92787.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
92183.4
DO23538
67 years, male, NA, stage:2, alive, 450 days
87070.9
DO23552
80 years, female, NA, stage:1, alive, 810 days
86510.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
85092.0
DO48743
69 years, female, NA, stage:2, alive, 570 days
84804.9
DO45115
81 years, male, NA, stage:2, alive, 840 days
81288.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
81024.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
80145.0
DO50807
67 years, male, NA, stage:1, alive, 540 days
79602.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
78653.1
DO45201
49 years, male, NA, stage:1, alive, 900 days
77518.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
76454.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
74317.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
72888.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
70852.3
DO45235
68 years, female, NA, stage:1, alive, 900 days
69722.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
68817.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
67573.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
64671.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
63643.9
DO45169
74 years, male, NA, stage:3, alive, 1350 days
63297.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
63282.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
63047.3
DO48742
76 years, male, NA, stage:2, alive, 600 days
62114.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
60710.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
60278.1
DO45101
63 years, male, NA, stage:2, alive, 1680 days
59288.7
DO45094
76 years, male, NA, stage:3, alive, 1650 days
55655.3
DO45243
74 years, female, NA, stage:3, alive, 930 days
54879.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
54825.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
54476.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
53674.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
52815.1
DO45109
63 years, male, NA, stage:2, alive, 1590 days
52202.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
51223.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
51133.1
DO50803
62 years, female, NA, stage:1, alive, 540 days
50864.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
50857.6
DO50844
75 years, male, NA, stage:4, alive, 300 days
50808.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
49464.9
DO45177
81 years, female, NA, stage:3, alive, 1260 days
49278.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
48619.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
48184.5
DO45223
67 years, male, NA, stage:4, alive, 1020 days
47948.3
DO45107
63 years, female, NA, stage:2, alive, 1710 days
46154.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
45335.1
DO45093
71 years, male, NA, stage:2, dead, 720 days
44488.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
44125.3
DO48736
76 years, female, NA, stage:1, alive, 600 days
43962.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
43152.5
DO23527
72 years, male, NA, stage:1, alive, 1050 days
42434.3
DO50813
56 years, male, NA, stage:2, alive, 420 days
41688.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
41259.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
41131.9
DO45179
78 years, female, NA, stage:2, alive, 600 days
41049.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
40992.7
DO23528
45 years, female, NA, stage:2, alive, 1020 days
40528.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
40326.3
DO50776
75 years, male, NA, stage:1, alive, 690 days
39923.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
39582.4
DO50817
75 years, male, NA, stage:2, alive, 390 days
39352.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
39112.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
38907.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
38261.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
37896.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
37816.8
DO45123
78 years, female, NA, stage:2, dead, 570 days
37803.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
37588.6
DO48759
73 years, male, NA, stage:3, alive, 720 days
37147.5
DO50805
72 years, male, NA, stage:2, alive, 690 days
36904.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
36824.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
36559.3
DO45135
77 years, male, NA, stage:1, alive, 1410 days
36545.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
36542.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
36227.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
35536.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
35374.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
35341.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
35022.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
34610.6
DO45157
62 years, male, NA, stage:2, alive, 1980 days
33936.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
33910.5
DO45225
69 years, male, NA, stage:1, alive, 1050 days
33793.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
33770.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
33301.3
DO23541
65 years, male, NA, stage:2, alive, 930 days
32762.2
DO23518
67 years, male, NA, stage:2, alive, 1320 days
32515.0
DO45221
75 years, female, NA, stage:4, dead, 390 days
31620.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
31204.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
30903.6
DO48733
72 years, male, NA, stage:2, alive, 600 days
30767.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
30726.3
DO45219
78 years, male, NA, stage:2, alive, 1080 days
29471.8
DO45173
63 years, male, NA, stage:3, alive, 1170 days
27971.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
27868.2
DO45119
74 years, male, NA, stage:3, dead, 510 days
27756.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
27745.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
27575.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
27344.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
27273.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
26790.8
DO50857
72 years, male, NA, stage:2, alive, 210 days
26509.7
DO45275
65 years, male, NA, stage:3, dead, 10 days
25369.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
25225.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
25178.3
DO48719
80 years, male, NA, stage:2, alive, 690 days
24939.7
DO50799
66 years, female, NA, stage:2, alive, 540 days
24591.8
DO45133
64 years, male, NA, stage:3, dead, 660 days
24116.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
24000.9
DO48704
68 years, female, NA, stage:3, alive, 750 days
23865.6
DO23514
64 years, male, NA, stage:2, alive, 1290 days
23346.8
DO50791
79 years, female, NA, stage:1, dead, 480 days
23273.7
DO23515
71 years, male, NA, stage:2, alive, 1230 days
23273.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
23029.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
22891.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
22782.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
22775.4
DO45141
73 years, male, NA, stage:2, alive, 1320 days
22743.2
DO45241
49 years, male, NA, stage:1, alive, 1080 days
22725.8
DO45149
70 years, female, NA, stage:2, alive, 1260 days
22332.9
DO23546
63 years, male, NA, stage:2, alive, 1050 days
22043.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
22016.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
21992.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
21938.6
DO45217
69 years, female, NA, stage:3, dead, 270 days
21579.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
21409.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
21252.3
DO50859
77 years, male, NA, stage:2, alive, 180 days
21037.4
DO45199
86 years, female, NA, stage:2, alive, 1350 days
21000.0
DO50783
62 years, male, NA, stage:3, alive, 480 days
20753.5
DO50809
56 years, male, NA, stage:3, dead, 720 days
20502.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
20494.6
DO45193
68 years, female, NA, stage:4, dead, 120 days
20349.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
20317.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
20102.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
19877.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
18666.6
DO48679
72 years, male, NA, stage:2, alive, 1200 days
18523.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
18424.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
18297.5
DO50811
62 years, male, NA, stage:1, alive, 450 days
17081.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
16994.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
16755.0
DO48720
62 years, female, NA, stage:2, alive, 570 days
16717.1
DO50778
60 years, male, NA, stage:4, alive, 630 days
16709.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
16665.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
16320.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
16191.7
DO45171
56 years, male, NA, stage:3, alive, 600 days
15907.7
DO50815
62 years, male, NA, stage:3, alive, 150 days
15382.6
DO45237
58 years, male, NA, stage:2, alive, 900 days
15287.5
DO45209
70 years, male, NA, stage:4, alive, 1350 days
14955.5
DO23534
60 years, male, NA, stage:2, alive, 840 days
14751.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
14642.4
DO23542
66 years, male, NA, stage:3, alive, 960 days
14554.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
13828.1
DO45281
83 years, male, NA, stage:4, alive, 750 days
13749.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
13121.2
DO48732
73 years, male, NA, stage:3, alive, 630 days
12918.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
12824.5
DO48757
68 years, female, NA, stage:3, alive, 480 days
12821.9
DO45205
67 years, female, NA, stage:2, dead, 90 days
12677.0
DO48737
52 years, male, NA, stage:1, alive, 720 days
12654.7
DO23511
83 years, female, NA, stage:3, dead, 180 days
12649.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
12101.1
DO48695
77 years, male, NA, stage:2, alive, 720 days
12062.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
12038.6
DO45163
76 years, male, NA, stage:2, alive, 960 days
11941.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
11891.5
DO50802
49 years, male, NA, stage:2, alive, 930 days
11637.3
DO45117
73 years, female, NA, stage:2, dead, 1110 days
11360.9
DO45097
69 years, male, NA, stage:3, alive, 1620 days
11190.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
10936.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
10792.7
DO50798
77 years, male, NA, stage:3, dead, 30 days
10782.1
DO45145
78 years, male, NA, stage:3, dead, 60 days
10601.2
DO50822
66 years, male, NA, stage:2, alive, 510 days
10496.3
DO23509
60 years, male, NA, stage:3, dead, 780 days
9957.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
9494.7
DO23530
53 years, male, NA, stage:4, dead, 180 days
9199.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
9067.0
DO45257
46 years, male, NA, stage:3, alive, 810 days
8960.5
DO23549
74 years, male, NA, stage:3, alive, 990 days
8878.1
DO48716
71 years, male, NA, stage:2, alive, 720 days
8682.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
8650.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
8644.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
8124.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
7623.7
DO48682
72 years, female, NA, stage:3, dead, 120 days
7489.1
DO50825
70 years, male, NA, stage:2, alive, 390 days
7439.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
6639.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
6347.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
6295.9
DO45131
53 years, male, NA, stage:4, dead, 360 days
5914.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
5466.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
4840.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
4733.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
4714.5
DO23548
78 years, female, NA, stage:1, alive, 840 days
4542.8
DO45283
60 years, male, NA, stage:3, alive, 510 days
3773.8
DO45273
62 years, male, NA, stage:2, alive, 480 days
3488.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
3376.0
DO48747
62 years, male, NA, stage:3, alive, 540 days
2219.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2001.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1615.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1152.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
934.5
DO45301
56 years, male, NA, stage:2, dead, 1440 days
692.8
DO45305
66 years, male, NA, stage:4, alive, 300 days
480.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
439.4
DO50806
70 years, male, NA, stage:4, alive, 540 days
397.8
DO45279
67 years, male, NA, stage:3, alive, 1290 days
367.6
DO45127
73 years, male, NA, stage:3, dead, 420 days
367.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
334.3
DO45245
75 years, female, NA, stage:2, dead, 240 days
210.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
209.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
135.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
99.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
62.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
55.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
43.6
DO45299
70 years, female, NA, stage:1, alive, 1440 days
41.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
33.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
2.0
343
Tumor
2.0
283
Tumor
1.2
192
Normal
1.1
375
Tumor
1.0
785
Tumor
0.9
671
Tumor
0.9
311
Tumor
0.8
815
Tumor
0.7
125
Tumor
0.6
391
Tumor
0.6
741
Tumor
0.6
697
Tumor
0.6
491
Tumor
0.6
367
Tumor
0.6
813
Tumor
0.5
224
Normal
0.5
817
Tumor
0.5
185
Tumor
0.5
553
Tumor
0.5
395
Tumor
0.4
425
Tumor
0.4
746
Normal
0.4
917
Tumor
0.4
982
Normal
0.4
261
Tumor
0.4
223
Tumor
0.4
1041
Tumor
0.4
186
Normal
0.4
545
Tumor
0.3
217
Tumor
0.3
744
Normal
0.3
1045
Tumor
0.3
461
Tumor
0.3
444
Normal
0.3
535
Tumor
0.3
365
Tumor
0.3
455
Tumor
0.3
342
Normal
0.3
146
Normal
0.3
124
Normal
0.2
863
Tumor
0.2
878
Normal
0.2
983
Tumor
0.2
685
Tumor
0.2
297
Tumor
0.2
981
Tumor
0.2
517
Tumor
0.2
126
Normal
0.2
492
Normal
0.2
368
Normal
0.2
816
Normal
0.2
963
Tumor
0.1
538
Normal
0.1
354
Normal
0.1
363
Tumor
0.1
967
Tumor
0.1
328
Normal
0.1
344
Normal
0.1
618
Normal
0.1
131
Tumor
0.1
743
Tumor
0.1
546
Normal
0.1
472
Normal
0.1
1028
Normal
0.1
554
Normal
0.1
778
Normal
0.1
737
Tumor
0.1
393
Tumor
0.1
142
Normal
0.1
312
Normal
0.1
141
Tumor
0.1
384
Normal
0.1
196
Normal
0.1
138
Normal
0.1
823
Tumor
0.0
665
Tumor
0.0
341
Tumor
0.0
516
Normal
0.0
713
Tumor
0.0
137
Tumor
0.0
884
Normal
0.0
474
Normal
0.0
881
Tumor
0.0
213
Tumor
0.0
924
Normal
0.0
911
Tumor
0.0
851
Tumor
0.0
874
Normal
0.0
975
Tumor
0.0
722
Normal
0.0
135
Tumor
0.0
332
Normal
0.0
956
Normal
0.0
228
Normal
0.0
672
Normal
0.0
966
Normal
0.0
195
Tumor
0.0
396
Normal
0.0
366
Normal
0.0
914
Normal
0.0
536
Normal
0.0
385
Tumor
0.0
188
Normal
0.0
464
Normal
0.0
383
Tumor
0.0
635
Tumor
0.0
428
Normal
0.0
921
Tumor
0.0
114
Normal
-0.1
447
Tumor
-0.1
148
Normal
-0.1
615
Tumor
-0.1
636
Normal
-0.1
715
Tumor
-0.1
331
Tumor
-0.1
388
Normal
-0.1
394
Normal
-0.1
376
Normal
-0.1
573
Tumor
-0.1
364
Normal
-0.1
285
Tumor
-0.1
627
Tumor
-0.1
452
Normal
-0.1
214
Normal
-0.1
965
Tumor
-0.1
362
Normal
-0.1
111
Normal
-0.1
663
Tumor
-0.1
695
Tumor
-0.1
136
Normal
-0.1
358
Normal
-0.1
434
Normal
-0.1
162
Normal
-0.1
868
Normal
-0.1
515
Tumor
-0.1
145
Tumor
-0.1
386
Normal
-0.1
172
Normal
-0.1
355
Tumor
-0.1
218
Normal
-0.1
327
Tumor
-0.1
1027
Tumor
-0.1
647
Tumor
-0.1
567
Tumor
-0.1
488
Normal
-0.1
421
Tumor
-0.1
938
Normal
-0.1
883
Tumor
-0.2
518
Normal
-0.2
258
Normal
-0.2
361
Tumor
-0.2
284
Normal
-0.2
487
Tumor
-0.2
862
Normal
-0.2
915
Tumor
-0.2
814
Normal
-0.2
953
Tumor
-0.2
313
Tumor
-0.2
857
Tumor
-0.2
574
Normal
-0.2
446
Normal
-0.2
268
Normal
-0.2
132
Normal
-0.2
523
Tumor
-0.2
964
Normal
-0.2
568
Normal
-0.2
112
Tumor
-0.2
462
Normal
-0.2
483
Tumor
-0.2
686
Normal
-0.2
777
Tumor
-0.2
471
Tumor
-0.2
977
Tumor
-0.2
222
Normal
-0.2
392
Normal
-0.2
861
Tumor
-0.2
952
Normal
-0.2
958
Normal
-0.2
1043
Tumor
-0.2
424
Normal
-0.2
221
Tumor
-0.2
161
Tumor
-0.2
351
Tumor
-0.2
968
Normal
-0.2
232
Normal
-0.2
426
Normal
-0.3
745
Tumor
-0.3
353
Tumor
-0.3
128
Normal
-0.3
314
Normal
-0.3
648
Normal
-0.3
1015
Tumor
-0.3
786
Normal
-0.3
147
Tumor
-0.3
465
Tumor
-0.3
738
Normal
-0.3
191
Tumor
-0.3
352
Normal
-0.3
456
Normal
-0.3
866
Normal
-0.3
951
Tumor
-0.3
277
Tumor
-0.3
463
Tumor
-0.3
1026
Normal
-0.3
976
Normal
-0.3
527
Tumor
-0.3
278
Normal
-0.3
498
Normal
-0.3
1042
Normal
-0.3
818
Normal
-0.3
432
Normal
-0.3
642
Normal
-0.3
664
Normal
-0.3
387
Tumor
-0.3
563
Tumor
-0.3
513
Tumor
-0.3
525
Tumor
-0.3
262
Normal
-0.3
922
Normal
-0.3
416
Normal
-0.3
113
Tumor
-0.3
257
Tumor
-0.3
864
Normal
-0.3
187
Tumor
-0.3
1022
Normal
-0.3
662
Normal
-0.4
494
Normal
-0.4
466
Normal
-0.4
414
Normal
-0.4
272
Normal
-0.4
617
Tumor
-0.4
742
Normal
-0.4
916
Normal
-0.4
448
Normal
-0.4
918
Normal
-0.4
923
Tumor
-0.4
514
Normal
-0.4
571
Tumor
-0.4
534
Normal
-0.4
721
Tumor
-0.4
298
Normal
-0.4
824
Normal
-0.4
286
Normal
-0.4
716
Normal
-0.4
1044
Normal
-0.4
858
Normal
-0.4
1025
Tumor
-0.4
882
Normal
-0.4
478
Normal
-0.4
433
Tumor
-0.4
558
Normal
-0.4
468
Normal
-0.4
445
Tumor
-0.4
481
Tumor
-0.4
484
Normal
-0.4
271
Tumor
-0.4
1016
Normal
-0.4
852
Normal
-0.4
212
Normal
-0.4
211
Tumor
-0.4
666
Normal
-0.4
867
Tumor
-0.4
1046
Normal
-0.4
227
Tumor
-0.4
412
Normal
-0.4
422
Normal
-0.5
572
Normal
-0.5
524
Normal
-0.5
411
Tumor
-0.5
123
Tumor
-0.5
451
Tumor
-0.5
755
Tumor
-0.5
171
Tumor
-0.5
356
Normal
-0.5
415
Tumor
-0.5
493
Tumor
-0.5
696
Normal
-0.5
756
Normal
-0.5
423
Tumor
-0.5
873
Tumor
-0.5
661
Tumor
-0.5
431
Tumor
-0.5
728
Normal
-0.5
723
Tumor
-0.5
937
Tumor
-0.5
912
Normal
-0.6
984
Normal
-0.6
1032
Normal
-0.6
467
Tumor
-0.6
427
Tumor
-0.6
564
Normal
-0.6
526
Normal
-0.6
954
Normal
-0.6
557
Tumor
-0.6
482
Normal
-0.6
616
Normal
-0.6
698
Normal
-0.6
865
Tumor
-0.6
497
Tumor
-0.6
436
Normal
-0.6
943
Tumor
-0.6
628
Normal
-0.6
925
Tumor
-0.6
955
Tumor
-0.6
913
Tumor
-0.7
528
Normal
-0.7
926
Normal
-0.7
357
Tumor
-0.7
957
Tumor
-0.7
267
Tumor
-0.7
1014
Normal
-0.7
413
Tumor
-0.7
1031
Tumor
-0.7
537
Tumor
-0.7
944
Normal
-0.7
978
Normal
-0.8
231
Tumor
-0.8
1021
Tumor
-0.8
641
Tumor
-0.8
477
Tumor
-0.8
443
Tumor
-0.8
473
Tumor
-0.8
714
Normal
-0.8
724
Normal
-0.9
1013
Tumor
-0.9
533
Tumor
-0.9
127
Tumor
-0.9
435
Tumor
-0.9
727
Tumor
-0.9
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.