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.
MT-ND4 is not prognostic in liver cancer
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.
0.0025
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.
30%
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 FPKM
8826.6
Number of samples
365
Samples
Sample
Description
FPKM
TCGA-MR-A8JO-01A
34 years, male, white, stage:i, alive, 330 days
36907.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:iiia, dead, 802 days
36288.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:i, dead, 2131 days
30283.5
TCGA-WX-AA47-01A
33 years, female, white, stage:iiia, dead, 556 days
28235.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:iiia, dead, 1791 days
24112.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:iiia, alive, 449 days
22396.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:i, alive, 799 days
22349.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:ii, alive, 554 days
22326.0
TCGA-DD-A4NI-01A
67 years, male, white, stage:ii, alive, 816 days
22266.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:i, alive, 345 days
21585.9
TCGA-BC-A216-01A
62 years, female, white, stage:iiia, alive, 1351 days
21195.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:ii, dead, 3258 days
20491.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:iiia, dead, 140 days
20477.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:ivb, dead, 558 days
20017.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:i, alive, 1731 days
19719.8
TCGA-ZP-A9D4-01A
64 years, female, white, alive, 395 days
19627.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:iiia, dead, 649 days
19458.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:ii, alive, 468 days
19197.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:iiia, alive, 672 days
19113.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:i, alive, 2184 days
19056.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:ii, alive, 1115 days
17897.3
TCGA-DD-A73A-01A
71 years, male, white, stage:i, alive, 728 days
17877.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:i, alive, 989 days
17492.2
TCGA-WQ-A9G7-01A
female, white, alive, 30 days
17131.6
TCGA-CC-A8HV-01A
51 years, female, asian, stage:ii, dead, 279 days
17092.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:i, alive, 575 days
16446.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:ii, alive, 588 days
16362.8
TCGA-EP-A3JL-01A
76 years, male, white, stage:i, alive, 303 days
16069.8
TCGA-G3-A3CH-01A
53 years, male, asian, stage:iiia, alive, 780 days
15834.7
TCGA-RC-A7SF-01A
66 years, male, asian, stage:i, alive, 579 days
15739.5
TCGA-DD-AAE6-01A
59 years, female, asian, stage:i, alive, 141 days
15603.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:i, alive, 1219 days
15374.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:i, dead, 34 days
15358.9
TCGA-DD-AADA-01A
66 years, female, asian, stage:i, alive, 1233 days
15303.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:iiia, dead, 217 days
15086.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:i, alive, 1939 days
14823.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:iiib, dead, 639 days
14799.2
TCGA-BC-A10R-01A
66 years, female, white, dead, 308 days
14630.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:iiia, alive, 363 days
14445.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:i, dead, 65 days
14426.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:ii, dead, 11 days
14421.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:i, dead, 366 days
14260.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:i, alive, 425 days
14163.1
TCGA-BC-A10Q-01A
72 years, female, white, dead, 1135 days
14127.9
TCGA-DD-A118-01A
77 years, female, white, stage:ii, alive, 3437 days
14102.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:i, alive, 722 days
14027.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:i, alive, 1562 days
13968.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:i, alive, 519 days
13896.1
TCGA-DD-A73D-01A
68 years, female, white, stage:ii, alive, 693 days
13858.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:i, alive, 1711 days
13728.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:iiic, dead, 359 days
13712.2
TCGA-KR-A7K8-01A
57 years, male, stage:i, alive, 906 days
13537.0
TCGA-DD-A1EB-01A
72 years, female, stage:i, alive, 2017 days
13524.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:i, alive, 744 days
13511.0
TCGA-DD-AAED-01A
51 years, male, asian, stage:i, alive, 763 days
13507.1
TCGA-EP-A26S-01A
70 years, male, white, stage:i, alive, 608 days
13481.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:i, alive, 430 days
13353.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:ii, alive, 2412 days
13302.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:iiia, dead, 660 days
13125.6
TCGA-HP-A5MZ-01A
62 years, male, stage:i, dead, 91 days
13089.4
TCGA-DD-A116-01A
68 years, male, asian, stage:iiia, dead, 1622 days
12980.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:iiib, alive, 1030 days
12883.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:i, alive, 478 days
12851.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:i, alive, 784 days
12836.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:i, alive, 8 days
12796.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:i, alive, 698 days
12764.8
TCGA-CC-A7IL-01A
61 years, male, asian, stage:iiia, dead, 278 days
12463.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:i, alive, 636 days
12393.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:iva, alive, 15 days
12269.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:i, alive, 1855 days
12255.6
TCGA-DD-AACX-01A
66 years, male, asian, stage:ii, alive, 170 days
12145.7
TCGA-DD-A4NS-01A
62 years, female, white, stage:i, dead, 2456 days
12085.6
TCGA-ZS-A9CG-01A
55 years, male, white, stage:ii, alive, 341 days
12059.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:ii, alive, 928 days
11997.4
TCGA-ED-A4XI-01A
58 years, male, asian, stage:ii, alive, 819 days
11927.3
TCGA-WX-AA44-01A
64 years, female, white, stage:i, alive, 615 days
11904.8
TCGA-MI-A75C-01A
64 years, male, white, stage:i, alive, 291 days
11902.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:i, dead, 693 days
11817.9
TCGA-DD-A1EE-01A
73 years, male, white, stage:iiia, dead, 349 days
11810.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:i, dead, 1271 days
11773.1
TCGA-DD-A73B-01A
72 years, female, white, stage:i, dead, 283 days
11722.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:i, alive, 314 days
11688.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:ii, alive, 395 days
11683.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:ii, alive, 359 days
11623.7
TCGA-DD-A11B-01A
73 years, male, white, stage:i, dead, 14 days
11520.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:i, alive, 357 days
11510.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:ii, alive, 680 days
11508.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:i, dead, 19 days
11497.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:i, alive, 655 days
11479.6
TCGA-CC-A3MA-01A
61 years, male, asian, stage:iiia, dead, 303 days
11463.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:i, alive, 2301 days
11419.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:i, alive, 602 days
11392.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:i, alive, 180 days
11325.4
TCGA-DD-AAVW-01A
35 years, male, asian, stage:i, alive, 2317 days
11266.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:ii, alive, 2102 days
11231.5
TCGA-DD-AAW1-01A
55 years, male, asian, stage:iiia, alive, 1989 days
11221.0
TCGA-BD-A2L6-01A
69 years, male, white, alive, 1363 days
11071.3
TCGA-DD-A11C-01A
69 years, male, white, stage:i, alive, 662 days
11030.1
TCGA-DD-A4NK-01A
80 years, female, white, stage:iiia, dead, 1210 days
11021.0
TCGA-XR-A8TC-01A
43 years, female, white, stage:i, alive, 1339 days
11000.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:iiia, dead, 612 days
10997.0
TCGA-BC-A10X-01A
52 years, female, white, stage:iiia, dead, 770 days
10973.7
TCGA-DD-AADG-01A
70 years, male, asian, stage:iiia, alive, 1145 days
10965.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:i, alive, 137 days
10927.5
TCGA-BC-A10T-01A
76 years, male, white, dead, 837 days
10851.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:ii, alive, 94 days
10792.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:i, alive, 2028 days
10758.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:i, alive, 552 days
10746.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:i, dead, 115 days
10738.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:i, alive, 1633 days
10639.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:iiia, dead, 347 days
10546.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:i, alive, 2746 days
10545.4
TCGA-BC-A10U-01A
69 years, male, white, dead, 837 days
10508.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:i, alive, 640 days
10504.0
TCGA-CC-A9FS-01A
55 years, male, asian, stage:ii, alive, 211 days
10474.8
TCGA-WX-AA46-01A
62 years, male, white, stage:ii, alive, 756 days
10431.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:ii, alive, 6 days
10365.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:ii, alive, 1049 days
10363.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:i, alive, 942 days
10320.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:ii, alive, 621 days
10263.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:ii, alive, 6 days
10199.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:iiic, alive, 1008 days
10183.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:ii, alive, 327 days
10149.0
TCGA-2Y-A9H8-01A
85 years, female, white, dead, 633 days
10125.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:i, alive, 566 days
10054.7
TCGA-DD-AA3A-01A
81 years, female, white, stage:i, dead, 410 days
9987.5
TCGA-DD-AADD-01A
51 years, male, asian, stage:i, alive, 1231 days
9945.2
TCGA-4R-AA8I-01A
66 years, male, white, stage:ii, dead, 262 days
9909.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:iiic, dead, 300 days
9871.3
TCGA-MR-A520-01A
58 years, male, white, stage:i, alive, 229 days
9846.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:iiib, alive, 917 days
9770.1
TCGA-ED-A7PY-01A
20 years, female, asian, stage:ii, alive, 390 days
9754.5
TCGA-BC-4072-01B
74 years, female, white, stage:iiia, dead, 1490 days
9707.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:ii, alive, 520 days
9694.7
TCGA-2Y-A9GX-01A
68 years, male, white, stage:i, alive, 2442 days
9688.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:i, alive, 472 days
9667.9
TCGA-DD-A4NQ-01A
60 years, male, white, stage:ii, dead, 373 days
9644.1
TCGA-MI-A75H-01A
77 years, male, white, alive, 747 days
9620.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:iiia, alive, 366 days
9566.9
TCGA-2Y-A9GV-01A
54 years, female, white, stage:i, dead, 2532 days
9513.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:iiia, alive, 22 days
9412.5
TCGA-CC-A5UD-01A
45 years, male, asian, stage:iiia, dead, 304 days
9330.1
TCGA-BC-A112-01A
80 years, male, white, dead, 153 days
9324.9
TCGA-BC-A110-01A
51 years, female, black or african american, dead, 2116 days
9287.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:iiia, alive, 408 days
9272.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:iiia, alive, 365 days
9243.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:iiib, alive, 671 days
9156.7
TCGA-DD-A11A-01A
67 years, male, black or african american, stage:i, alive, 79 days
9100.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:i, alive, 361 days
9092.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:ii, alive, 1098 days
9024.9
TCGA-DD-A73F-01A
77 years, female, white, stage:i, alive, 1085 days
8991.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:ii, dead, 432 days
8900.8
TCGA-DD-A115-01A
53 years, male, white, stage:iiia, dead, 2542 days
8868.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:ii, alive, 594 days
8844.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:i, alive, 2301 days
8840.7
TCGA-DD-AAEK-01A
51 years, male, asian, stage:ii, alive, 1067 days
8730.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:i, alive, 2513 days
8658.9
TCGA-DD-A3A7-01A
67 years, male, stage:iiib, dead, 419 days
8641.4
TCGA-DD-A1EF-01A
57 years, female, white, stage:i, dead, 394 days
8620.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:ii, alive, 2415 days
8589.7
TCGA-ED-A7XP-01A
53 years, female, asian, stage:ii, alive, 400 days
8569.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:iiia, alive, 3675 days
8563.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:ii, dead, 848 days
8403.9
TCGA-MI-A75E-01A
61 years, male, white, stage:iiic, alive, 507 days
8314.1
TCGA-DD-AAEG-01A
59 years, female, asian, stage:i, alive, 719 days
8270.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:i, dead, 555 days
8245.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:i, dead, 9 days
8205.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:i, alive, 829 days
8173.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:i, dead, 425 days
8156.4
TCGA-2Y-A9GT-01A
51 years, male, white, stage:i, dead, 1624 days
8141.5
TCGA-ED-A97K-01A
54 years, male, asian, stage:iiia, alive, 6 days
8136.3
TCGA-ZP-A9D1-01A
56 years, female, white, alive, 21 days
8077.0
TCGA-DD-A4NP-01A
32 years, male, white, stage:i, alive, 3308 days
8045.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, alive, 1091 days
8044.9
TCGA-DD-A39W-01A
29 years, female, white, stage:iii, dead, 827 days
8036.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:i, dead, 171 days
8006.9
TCGA-DD-A119-01A
40 years, male, asian, stage:iv, dead, 223 days
7982.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:i, alive, 1531 days
7965.8
TCGA-ED-A627-01A
74 years, male, white, stage:i, alive, 423 days
7913.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:ii, dead, 1386 days
7904.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:ii, dead, 46 days
7899.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:i, alive, 1242 days
7779.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:iiia, dead, 315 days
7777.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:i, alive, 697 days
7775.0
TCGA-G3-A5SI-01A
44 years, male, asian, stage:ii, dead, 768 days
7672.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:i, alive, 1452 days
7659.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:i, alive, 658 days
7650.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:i, alive, 2752 days
7632.9
TCGA-DD-AACS-01A
39 years, male, asian, stage:i, alive, 1804 days
7626.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:i, alive, 638 days
7598.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:i, dead, 52 days
7580.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:i, alive, 1345 days
7556.2
TCGA-5C-A9VG-01A
58 years, male, white, stage:ii, alive, 328 days
7530.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:i, alive, 347 days
7509.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:ii, dead, 36 days
7483.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:i, alive, 1531 days
7482.4
TCGA-ED-A459-01A
47 years, male, asian, stage:ii, alive, 910 days
7474.1
TCGA-DD-A4NV-01A
61 years, male, white, stage:iiia, alive, 2398 days
7451.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:i, alive, 322 days
7444.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:i, dead, 596 days
7432.7
TCGA-G3-A25T-01A
45 years, female, white, stage:iiia, alive, 1553 days
7426.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:i, alive, 1823 days
7401.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:i, alive, 447 days
7381.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:i, alive, 879 days
7269.9
TCGA-ZP-A9CY-01A
66 years, female, white, alive, 782 days
7269.6
TCGA-BD-A3EP-01A
76 years, female, black or african american, stage:i, alive, 409 days
7213.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:i, alive, 587 days
7200.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:iiia, dead, 262 days
7158.9
TCGA-GJ-A6C0-01A
75 years, female, white, stage:ii, dead, 31 days
7104.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:i, alive, 810 days
7038.7
TCGA-BC-A69I-01A
69 years, male, white, stage:i, alive, 387 days
6894.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:ii, alive, 1570 days
6877.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:i, alive, 1636 days
6871.5
TCGA-G3-A25S-01A
64 years, male, white, stage:i, dead, 416 days
6866.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:iii, dead, 3125 days
6839.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:iiic, alive, 562 days
6818.6
TCGA-DD-A3A3-01A
45 years, male, asian, stage:i, dead, 535 days
6808.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:iiia, alive, 925 days
6794.0
TCGA-DD-A1EG-01A
77 years, male, white, stage:i, dead, 1372 days
6651.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:ii, dead, 415 days
6623.4
TCGA-G3-A25V-01A
68 years, male, white, stage:i, alive, 860 days
6483.3
TCGA-5C-AAPD-01A
61 years, male, asian, stage:ii, alive, 20 days
6420.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:i, dead, 107 days
6419.3
TCGA-CC-5259-01A
60 years, female, asian, stage:iiic, alive, 250 days
6379.8
TCGA-BC-A10Y-01A
76 years, male, white, dead, 711 days
6326.7
TCGA-FV-A23B-01A
70 years, female, white, stage:ii, dead, 1852 days
6322.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:iii, alive, 1495 days
6311.0
TCGA-K7-A5RF-01A
64 years, male, white, stage:i, alive, 631 days
6299.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:iiia, alive, 1970 days
6297.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:i, dead, 27 days
6286.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:iiia, dead, 56 days
6268.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:i, alive, 1900 days
6221.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:i, alive, 1424 days
6196.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:iiia, alive, 406 days
6150.6
TCGA-FV-A3I0-01A
76 years, female, white, stage:ii, alive, 848 days
6146.9
TCGA-2Y-A9GS-01A
58 years, male, white, dead, 724 days
6139.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:i, alive, 2728 days
6131.1
TCGA-BC-A10S-01A
81 years, male, white, dead, 1423 days
6127.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:i, alive, 585 days
6122.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:i, alive, 2015 days
6120.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:iiia, dead, 344 days
6097.1
TCGA-EP-A12J-01A
63 years, male, black or african american, stage:i, alive, 570 days
6039.4
TCGA-UB-A7MC-01A
59 years, male, white, stage:iiia, alive, 500 days
5976.4
TCGA-O8-A75V-01A
54 years, male, stage:i, alive, 538 days
5922.0
TCGA-DD-A4NO-01A
66 years, male, white, stage:i, alive, 2245 days
5899.9
TCGA-DD-A11D-01A
57 years, female, white, stage:i, dead, 1560 days
5895.3
TCGA-G3-AAV5-01A
67 years, male, white, stage:ii, alive, 354 days
5885.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:iiia, dead, 547 days
5875.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:ii, dead, 1149 days
5784.7
TCGA-DD-AADQ-01A
59 years, male, asian, stage:ii, alive, 436 days
5750.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:iiia, alive, 427 days
5713.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:iiia, alive, 363 days
5694.5
TCGA-DD-AACP-01A
65 years, male, asian, stage:i, alive, 415 days
5689.0
TCGA-FV-A496-01A
84 years, female, white, stage:i, alive, 10 days
5642.2
TCGA-DD-A39Z-01A
43 years, female, stage:ii, dead, 601 days
5637.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:ii, alive, 2455 days
5628.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:i, alive, 564 days
5607.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:i, dead, 365 days
5599.3
TCGA-XR-A8TG-01A
59 years, male, white, stage:i, alive, 898 days
5559.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:iiib, dead, 56 days
5512.9
TCGA-DD-A73E-01A
66 years, male, white, stage:i, alive, 44 days
5480.3
TCGA-ZP-A9CV-01A
59 years, male, white, dead, 1088 days
5466.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:iiia, alive, 406 days
5456.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:ii, dead, 757 days
5407.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:i, alive, 574 days
5404.8
TCGA-G3-AAV2-01A
50 years, male, white, stage:i, alive, 372 days
5326.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:ii, alive, 412 days
5228.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:i, dead, 381 days
5212.3
TCGA-2Y-A9HB-01A
66 years, male, stage:i, alive, 260 days
5180.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:iiia, alive, 20 days
5131.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:i, alive, 608 days
5097.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:i, alive, 1295 days
5057.2
TCGA-DD-A113-01A
55 years, female, white, stage:ii, alive, 2425 days
5050.1
TCGA-CC-5263-01A
35 years, male, asian, stage:iiia, dead, 129 days
5038.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:ii, alive, 520 days
5035.9
TCGA-DD-A1EJ-01A
71 years, female, white, stage:iiic, dead, 1005 days
5023.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:iiia, alive, 555 days
4979.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:ivb, dead, 931 days
4969.4
TCGA-DD-A1EI-01A
46 years, male, asian, stage:i, alive, 183 days
4936.6
TCGA-G3-A3CG-01A
80 years, male, white, stage:i, alive, 673 days
4913.6
TCGA-DD-AADP-01A
45 years, male, asian, stage:i, alive, 458 days
4896.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:iiia, alive, 248 days
4872.4
TCGA-DD-AADY-01A
55 years, female, asian, stage:i, alive, 555 days
4870.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:i, alive, 1567 days
4860.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:i, alive, 1450 days
4848.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:ii, alive, 1241 days
4839.5
TCGA-FV-A2QR-01A
male, white, stage:i, dead, 581 days
4745.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:i, alive, 1168 days
4726.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:i, alive, 476 days
4684.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:ii, alive, 361 days
4662.8
TCGA-CC-A7IG-01A
47 years, male, asian, stage:ii, dead, 299 days
4636.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:iiia, dead, 101 days
4604.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:ii, alive, 387 days
4601.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:ii, alive, 1516 days
4564.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:i, dead, 1685 days
4537.8
TCGA-UB-A7MF-01A
57 years, male, white, stage:iiia, dead, 214 days
4489.6
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:iiib, alive, 396 days
4433.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:i, alive, 1066 days
4409.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:i, alive, 474 days
4399.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:i, alive, 2324 days
4323.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:i, dead, 452 days
4321.1
TCGA-CC-5262-01A
67 years, male, asian, stage:iiic, dead, 103 days
4306.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:i, dead, 16 days
4288.6
TCGA-MI-A75G-01A
63 years, male, white, stage:ii, alive, 698 days
4275.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:ii, alive, 9 days
4257.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:ii, alive, 951 days
4247.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, alive, 706 days
4209.1
TCGA-K7-A6G5-01A
66 years, male, white, stage:i, alive, 512 days
4207.5
TCGA-DD-A4NN-01A
56 years, female, white, stage:i, dead, 899 days
4181.6
TCGA-DD-AAE7-01A
72 years, male, asian, stage:i, alive, 644 days
4151.8
TCGA-CC-5260-01A
61 years, female, asian, stage:iiic, dead, 87 days
4140.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:i, alive, 486 days
4128.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:i, alive, 632 days
4121.2
TCGA-G3-AAUZ-01A
48 years, male, stage:i, alive, 480 days
4037.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:iiib, dead, 272 days
4024.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:i, alive, 1876 days
4006.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:i, alive, 1302 days
4001.1
TCGA-MI-A75I-01A
61 years, male, black or african american, alive, 630 days
3989.8
TCGA-2Y-A9H1-01A
58 years, male, white, stage:i, dead, 1229 days
3969.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:ii, alive, 2202 days
3952.7
TCGA-HP-A5N0-01A
88 years, female, dead, 1147 days
3936.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:ii, dead, 195 days
3839.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:iiia, dead, 296 days
3802.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:iiia, dead, 627 days
3757.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:iiia, dead, 300 days
3723.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:i, alive, 9 days
3635.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:i, dead, 194 days
3603.3
TCGA-FV-A3I1-01A
female, white, stage:ii, dead, 247 days
3587.7
TCGA-YA-A8S7-01A
69 years, male, white, stage:iiia, dead, 412 days
3561.6
TCGA-T1-A6J8-01A
68 years, male, white, alive, 23 days
3491.6
TCGA-DD-AADM-01A
58 years, male, asian, stage:ii, dead, 12 days
3436.8
TCGA-CC-5258-01A
48 years, male, asian, stage:ii, dead, 129 days
3412.4
TCGA-GJ-A9DB-01A
68 years, male, white, stage:i, dead, 67 days
3373.5
TCGA-DD-A73C-01A
65 years, female, white, stage:iiia, alive, 701 days
3340.4
TCGA-BC-A217-01A
75 years, female, white, stage:ii, dead, 1397 days
3328.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:i, alive, 729 days
3304.0
TCGA-DD-AACI-01A
69 years, male, asian, stage:ii, alive, 1618 days
3255.5
TCGA-ZP-A9D2-01A
51 years, male, white, dead, 765 days
3246.9
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:ii, alive, 382 days
3099.9
TCGA-DD-A3A1-01A
65 years, male, stage:iiia, dead, 233 days
3074.7
TCGA-BC-A10W-01A
50 years, male, asian, dead, 91 days
3012.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:ii, dead, 469 days
2884.8
TCGA-DD-A73G-01A
73 years, female, white, stage:i, alive, 3478 days
2810.9
TCGA-DD-AADI-01A
43 years, female, asian, stage:i, alive, 1085 days
2795.2
TCGA-FV-A495-01A
51 years, female, white, stage:ii, alive, 1 days
2727.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:ii, alive, 848 days
2722.1
TCGA-CC-5264-01A
71 years, male, asian, stage:iiia, dead, 102 days
2669.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:i, alive, 898 days
2558.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:i, dead, 688 days
2557.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:i, alive, 12 days
2478.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:ii, alive, 601 days
2457.9
TCGA-CC-A7II-01A
55 years, male, asian, stage:iiia, alive, 399 days
2444.6
TCGA-DD-A39X-01A
78 years, female, white, stage:i, dead, 1694 days
2344.9
TCGA-CC-5261-01A
44 years, male, asian, stage:ii, dead, 97 days
2286.3
TCGA-DD-A39Y-01A
67 years, male, asian, stage:i, dead, 171 days
2285.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:i, dead, 438 days
2057.6
TCGA-BC-4073-01B
73 years, male, white, stage:iiia, alive, 849 days
1960.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:iiia, dead, 65 days
1914.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:ii, alive, 854 days
1810.3
TCGA-CC-A123-01A
24 years, female, asian, stage:iiia, alive, 219 days
1741.9
TCGA-DD-A39V-01A
77 years, male, white, stage:ii, dead, 643 days
1688.9
TCGA-DD-AADO-01A
55 years, male, asian, stage:i, alive, 453 days
1606.0
TCGA-FV-A4ZP-01A
78 years, male, white, stage:iiia, dead, 2486 days
1562.4
TCGA-G3-A25X-01A
73 years, male, asian, stage:ii, alive, 1779 days
1231.6
TCGA-BC-A69H-01A
64 years, male, white, stage:ii, alive, 444 days
1101.8
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
