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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-CO2 is prognostic, high expression is favorable 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.
0.00029
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.
56%
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.
28%
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
10745.2
Number of samples
365
Samples
Sample
Description
FPKM
TCGA-DD-AAEB-01A
60 years, male, asian, stage:i, alive, 478 days
39217.4
TCGA-DD-AACE-01A
62 years, male, asian, stage:i, alive, 2184 days
38233.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:iiia, dead, 802 days
37382.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:i, alive, 330 days
36179.6
TCGA-WX-AA47-01A
33 years, female, white, stage:iiia, dead, 556 days
34817.3
TCGA-WQ-A9G7-01A
female, white, alive, 30 days
28315.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:ii, alive, 468 days
28006.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:iiia, alive, 449 days
27623.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:iiia, alive, 672 days
27196.6
TCGA-DD-A3A6-01A
72 years, female, white, stage:ii, dead, 3258 days
26571.6
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:ii, alive, 594 days
26185.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:i, dead, 2131 days
25478.4
TCGA-BC-A10Q-01A
72 years, female, white, dead, 1135 days
25351.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:i, dead, 381 days
24639.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:ii, alive, 1516 days
23781.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:i, alive, 566 days
23161.6
TCGA-EP-A26S-01A
70 years, male, white, stage:i, alive, 608 days
23018.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:ii, alive, 6 days
22981.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:i, alive, 303 days
22564.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:iiia, dead, 1791 days
22122.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:iiib, alive, 1030 days
21947.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:ii, alive, 816 days
21671.1
TCGA-WJ-A86L-01A
68 years, female, white, stage:i, alive, 345 days
21228.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:i, alive, 474 days
20173.1
TCGA-DD-AAEA-01A
65 years, male, asian, stage:i, alive, 575 days
19883.7
TCGA-CC-A8HV-01A
51 years, female, asian, stage:ii, dead, 279 days
19759.8
TCGA-DD-A118-01A
77 years, female, white, stage:ii, alive, 3437 days
19562.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:ii, alive, 2102 days
19055.7
TCGA-DD-AACX-01A
66 years, male, asian, stage:ii, alive, 170 days
18637.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:i, alive, 1731 days
18592.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:i, dead, 115 days
18536.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:iiia, alive, 22 days
18188.5
TCGA-DD-A73A-01A
71 years, male, white, stage:i, alive, 728 days
17947.3
TCGA-RC-A6M5-01A
20 years, female, white, stage:iva, alive, 15 days
17940.4
TCGA-DD-A1EC-01A
20 years, female, white, stage:i, alive, 602 days
17840.0
TCGA-DD-A3A7-01A
67 years, male, stage:iiib, dead, 419 days
17483.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:i, alive, 430 days
17462.6
TCGA-DD-A4NB-01A
25 years, male, white, stage:i, alive, 989 days
17418.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:i, alive, 2028 days
17410.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:ii, alive, 1115 days
17334.5
TCGA-ED-A7PX-01A
48 years, female, asian, stage:ii, alive, 6 days
17271.6
TCGA-G3-A25Z-01A
58 years, male, asian, stage:i, alive, 655 days
17094.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:iiia, dead, 347 days
17049.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:ii, alive, 554 days
17035.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:i, alive, 2752 days
16844.0
TCGA-G3-A3CI-01A
71 years, male, white, stage:i, alive, 180 days
16752.7
TCGA-CC-A8HT-01A
74 years, male, asian, stage:iiia, dead, 140 days
16508.2
TCGA-NI-A8LF-01A
74 years, male, white, stage:i, alive, 799 days
16469.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:i, alive, 579 days
16443.9
TCGA-2Y-A9H8-01A
85 years, female, white, dead, 633 days
16416.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:iiia, dead, 649 days
16394.7
TCGA-ZP-A9D4-01A
64 years, female, white, alive, 395 days
16253.5
TCGA-DD-AAEH-01A
73 years, male, asian, stage:i, alive, 784 days
16184.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:iiia, dead, 278 days
16148.0
TCGA-WQ-AB4B-01A
62 years, male, white, stage:ii, alive, 395 days
15958.7
TCGA-BC-A10T-01A
76 years, male, white, dead, 837 days
15943.1
TCGA-KR-A7K8-01A
57 years, male, stage:i, alive, 906 days
15902.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:i, dead, 34 days
15900.6
TCGA-RC-A7SB-01A
53 years, male, asian, stage:ii, alive, 588 days
15779.1
TCGA-BD-A2L6-01A
69 years, male, white, alive, 1363 days
15778.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:i, alive, 1855 days
15738.7
TCGA-WX-AA46-01A
62 years, male, white, stage:ii, alive, 756 days
15417.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:i, alive, 1633 days
15327.4
TCGA-DD-AAE4-01A
49 years, female, asian, stage:i, alive, 608 days
15176.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:i, alive, 8 days
15105.9
TCGA-DD-A1EB-01A
72 years, female, stage:i, alive, 2017 days
15093.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:iiia, dead, 217 days
15004.3
TCGA-FV-A3R3-01A
38 years, female, white, stage:i, dead, 366 days
14992.6
TCGA-BC-A216-01A
62 years, female, white, stage:iiia, alive, 1351 days
14986.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:i, alive, 2301 days
14971.0
TCGA-HP-A5MZ-01A
62 years, male, stage:i, dead, 91 days
14876.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:i, dead, 693 days
14821.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:ivb, dead, 558 days
14666.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:i, dead, 19 days
14651.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:i, alive, 942 days
14647.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:i, alive, 1939 days
14642.3
TCGA-DD-A39Z-01A
43 years, female, stage:ii, dead, 601 days
14502.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:ii, alive, 1618 days
14448.5
TCGA-CC-A3MA-01A
61 years, male, asian, stage:iiia, dead, 303 days
14428.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:i, alive, 141 days
14089.5
TCGA-DD-A73D-01A
68 years, female, white, stage:ii, alive, 693 days
14062.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:iiia, alive, 1970 days
14056.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:i, alive, 1345 days
14008.5
TCGA-G3-AAV1-01A
51 years, male, asian, stage:iiic, dead, 359 days
13797.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:ii, dead, 373 days
13767.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:i, alive, 698 days
13715.8
TCGA-DD-A73B-01A
72 years, female, white, stage:i, dead, 283 days
13609.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:i, dead, 1271 days
13548.1
TCGA-G3-A25T-01A
45 years, female, white, stage:iiia, alive, 1553 days
13472.4
TCGA-CC-5259-01A
60 years, female, asian, stage:iiic, alive, 250 days
13397.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:ii, dead, 848 days
13378.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:ii, alive, 341 days
13320.3
TCGA-BC-A10R-01A
66 years, female, white, dead, 308 days
13316.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:i, alive, 1452 days
13241.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:ii, alive, 354 days
13208.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:i, alive, 1876 days
13132.7
TCGA-DD-A116-01A
68 years, male, asian, stage:iiia, dead, 1622 days
13106.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:i, alive, 1562 days
13076.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:iiia, dead, 349 days
12969.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:iiia, alive, 780 days
12862.7
TCGA-K7-AAU7-01A
61 years, male, white, stage:ii, alive, 359 days
12812.9
TCGA-G3-A5SM-01A
58 years, male, white, stage:ii, alive, 520 days
12796.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:i, dead, 65 days
12789.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:i, alive, 829 days
12772.5
TCGA-DD-AADL-01A
58 years, male, asian, stage:i, alive, 636 days
12553.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:iiia, alive, 1989 days
12543.4
TCGA-DD-AAE1-01A
52 years, male, asian, stage:i, alive, 552 days
12272.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:i, alive, 673 days
12175.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:ii, alive, 621 days
11999.4
TCGA-MI-A75E-01A
61 years, male, white, stage:iiic, alive, 507 days
11940.2
TCGA-O8-A75V-01A
54 years, male, stage:i, alive, 538 days
11934.0
TCGA-MR-A520-01A
58 years, male, white, stage:i, alive, 229 days
11931.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:i, dead, 596 days
11915.3
TCGA-G3-A5SK-01A
58 years, male, white, stage:i, alive, 744 days
11809.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:i, alive, 361 days
11751.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:i, alive, 425 days
11692.6
TCGA-DD-A4NJ-01A
54 years, female, white, stage:ii, alive, 928 days
11663.1
TCGA-UB-AA0V-01A
69 years, female, white, stage:i, alive, 314 days
11625.9
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:ii, alive, 94 days
11597.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:ii, dead, 415 days
11583.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:iiia, alive, 1145 days
11565.9
TCGA-EP-A2KA-01A
52 years, female, white, stage:iiia, dead, 627 days
11559.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:i, alive, 1424 days
11482.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:i, alive, 763 days
11464.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:ii, alive, 211 days
11390.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:iiia, dead, 315 days
11371.2
TCGA-DD-A115-01A
53 years, male, white, stage:iiia, dead, 2542 days
11289.0
TCGA-BC-A10S-01A
81 years, male, white, dead, 1423 days
11280.8
TCGA-ED-A7PY-01A
20 years, female, asian, stage:ii, alive, 390 days
11261.3
TCGA-WX-AA44-01A
64 years, female, white, stage:i, alive, 615 days
11259.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:i, dead, 535 days
11253.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:iiib, dead, 639 days
11168.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:i, alive, 347 days
11095.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:i, alive, 638 days
11034.2
TCGA-DD-A73G-01A
73 years, female, white, stage:i, alive, 3478 days
10989.1
TCGA-DD-A113-01A
55 years, female, white, stage:ii, alive, 2425 days
10855.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:i, alive, 697 days
10747.8
TCGA-DD-AAD8-01A
73 years, female, asian, stage:i, alive, 1219 days
10675.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:i, alive, 722 days
10671.3
TCGA-RC-A7S9-01A
47 years, female, asian, stage:i, alive, 640 days
10590.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:i, alive, 879 days
10577.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:iiia, alive, 365 days
10548.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:ii, dead, 11 days
10538.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:i, dead, 171 days
10516.9
TCGA-MI-A75H-01A
77 years, male, white, alive, 747 days
10506.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:iiia, alive, 427 days
10468.2
TCGA-DD-AACF-01A
68 years, male, asian, stage:i, dead, 365 days
10460.9
TCGA-BC-A110-01A
51 years, female, black or african american, dead, 2116 days
10438.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:iiia, dead, 304 days
10304.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:i, alive, 2442 days
10247.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:i, alive, 1233 days
10239.1
TCGA-DD-A1EA-01A
68 years, male, asian, stage:ii, alive, 2415 days
10207.4
TCGA-FV-A495-01A
51 years, female, white, stage:ii, alive, 1 days
10164.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:ii, alive, 327 days
10154.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:iiib, alive, 671 days
10135.7
TCGA-BD-A3EP-01A
76 years, female, black or african american, stage:i, alive, 409 days
10108.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:i, alive, 2513 days
10090.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:i, alive, 1231 days
10061.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:ii, dead, 12 days
10058.8
TCGA-DD-AAE0-01A
45 years, female, asian, stage:iiia, alive, 555 days
10045.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:i, alive, 519 days
10041.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:ii, dead, 432 days
10029.1
TCGA-BC-A10X-01A
52 years, female, white, stage:iiia, dead, 770 days
9974.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:ii, dead, 757 days
9968.0
TCGA-2Y-A9H6-01A
68 years, female, white, stage:i, alive, 357 days
9880.5
TCGA-BC-4072-01B
74 years, female, white, stage:iiia, dead, 1490 days
9862.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:ii, dead, 768 days
9845.7
TCGA-DD-A4NS-01A
62 years, female, white, stage:i, dead, 2456 days
9829.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:iiia, dead, 1210 days
9781.5
TCGA-MI-A75C-01A
64 years, male, white, stage:i, alive, 291 days
9697.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:ii, alive, 1098 days
9620.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:iiia, dead, 612 days
9561.4
TCGA-FV-A23B-01A
70 years, female, white, stage:ii, dead, 1852 days
9550.1
TCGA-DD-A3A1-01A
65 years, male, stage:iiia, dead, 233 days
9541.5
TCGA-DD-AAEE-01A
55 years, male, asian, stage:i, alive, 810 days
9503.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:iiia, dead, 660 days
9502.2
TCGA-ZS-A9CF-01A
64 years, male, white, stage:ii, alive, 2412 days
9485.9
TCGA-DD-AADN-01A
59 years, male, asian, stage:i, alive, 898 days
9485.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:ii, alive, 1049 days
9428.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:ii, alive, 328 days
9410.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:i, dead, 107 days
9355.0
TCGA-CC-A3MC-01A
54 years, male, asian, stage:iiia, alive, 363 days
9342.2
TCGA-G3-A25S-01A
64 years, male, white, stage:i, dead, 416 days
9329.9
TCGA-BC-A10U-01A
69 years, male, white, dead, 837 days
9319.9
TCGA-BC-A3KG-01A
68 years, female, white, stage:ii, alive, 680 days
9310.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:ii, alive, 819 days
9258.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:iiia, dead, 56 days
9258.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:i, alive, 658 days
9223.4
TCGA-DD-AAVV-01A
56 years, male, asian, stage:ii, alive, 2455 days
9220.0
TCGA-ZS-A9CD-01A
73 years, male, white, stage:ii, dead, 1386 days
9170.4
TCGA-DD-A4NP-01A
32 years, male, white, stage:i, alive, 3308 days
9126.6
TCGA-LG-A9QD-01A
68 years, male, white, stage:iiia, alive, 366 days
9086.4
TCGA-G3-A7M5-01A
76 years, male, asian, stage:i, alive, 447 days
9075.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:i, dead, 2532 days
9049.6
TCGA-DD-A119-01A
40 years, male, asian, stage:iv, dead, 223 days
9030.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:i, dead, 555 days
8997.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:ii, dead, 299 days
8995.1
TCGA-BC-A217-01A
75 years, female, white, stage:ii, dead, 1397 days
8963.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:iiia, alive, 2398 days
8836.0
TCGA-DD-A1ED-01A
68 years, male, white, stage:i, alive, 2301 days
8764.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:i, alive, 1339 days
8723.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:i, alive, 2746 days
8701.9
TCGA-DD-AADJ-01A
70 years, female, asian, stage:i, alive, 1066 days
8687.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:iii, dead, 3125 days
8640.2
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:iiia, alive, 20 days
8578.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:ii, dead, 46 days
8577.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:i, alive, 137 days
8562.0
TCGA-DD-A4NO-01A
66 years, male, white, stage:i, alive, 2245 days
8536.8
TCGA-MI-A75G-01A
63 years, male, white, stage:ii, alive, 698 days
8521.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:i, dead, 1229 days
8485.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:i, alive, 1531 days
8438.0
TCGA-DD-A73E-01A
66 years, male, white, stage:i, alive, 44 days
8432.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:i, alive, 372 days
8420.9
TCGA-DD-A39W-01A
29 years, female, white, stage:iii, dead, 827 days
8405.8
TCGA-BC-A69I-01A
69 years, male, white, stage:i, alive, 387 days
8385.9
TCGA-G3-AAV4-01A
83 years, female, white, stage:i, dead, 27 days
8369.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:i, alive, 1636 days
8359.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:iiia, alive, 408 days
8356.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:ii, alive, 400 days
8342.6
TCGA-ZP-A9D1-01A
56 years, female, white, alive, 21 days
8303.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:iiib, alive, 396 days
8280.9
TCGA-G3-A3CK-01A
61 years, male, asian, stage:i, alive, 585 days
8278.5
TCGA-G3-AAUZ-01A
48 years, male, stage:i, alive, 480 days
8245.6
TCGA-DD-AACP-01A
65 years, male, asian, stage:i, alive, 415 days
8232.2
TCGA-ZP-A9CY-01A
66 years, female, white, alive, 782 days
8225.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:i, alive, 719 days
8213.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:iiic, dead, 1005 days
8168.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:i, alive, 1242 days
8153.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:iiia, alive, 3675 days
8126.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:ii, alive, 2202 days
8078.4
TCGA-FV-A4ZP-01A
78 years, male, white, stage:iiia, dead, 2486 days
8067.7
TCGA-DD-AACY-01A
61 years, male, asian, stage:i, alive, 1450 days
8018.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:i, alive, 2728 days
7976.1
TCGA-DD-A73F-01A
77 years, female, white, stage:i, alive, 1085 days
7959.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:i, alive, 631 days
7925.0
TCGA-DD-A11A-01A
67 years, male, black or african american, stage:i, alive, 79 days
7881.1
TCGA-DD-A4NH-01A
65 years, female, white, stage:iiib, alive, 917 days
7856.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:iiic, alive, 1008 days
7768.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:i, alive, 1711 days
7757.0
TCGA-DD-AACG-01A
52 years, male, asian, stage:ii, dead, 469 days
7740.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, alive, 1091 days
7655.1
TCGA-G3-AAV3-01A
58 years, female, white, stage:ii, alive, 412 days
7648.4
TCGA-BC-A112-01A
80 years, male, white, dead, 153 days
7644.7
TCGA-ZP-A9CV-01A
59 years, male, white, dead, 1088 days
7594.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:ii, alive, 1570 days
7562.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:ii, alive, 951 days
7487.3
TCGA-5R-AA1C-01A
57 years, male, white, stage:ii, alive, 520 days
7430.4
TCGA-2Y-A9HA-01A
70 years, male, white, stage:ii, dead, 36 days
7409.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:i, dead, 9 days
7360.6
TCGA-5C-A9VH-01A
70 years, male, white, stage:i, alive, 322 days
7339.4
TCGA-DD-AADO-01A
55 years, male, asian, stage:i, alive, 453 days
7322.5
TCGA-DD-A11D-01A
57 years, female, white, stage:i, dead, 1560 days
7285.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:i, alive, 458 days
7252.7
TCGA-2Y-A9HB-01A
66 years, male, stage:i, alive, 260 days
7222.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:i, dead, 1624 days
7217.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:i, alive, 1295 days
7185.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:i, alive, 1531 days
7139.0
TCGA-FV-A496-01A
84 years, female, white, stage:i, alive, 10 days
7121.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:ivb, dead, 931 days
7053.3
TCGA-DD-A11B-01A
73 years, male, white, stage:i, dead, 14 days
7006.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:ii, dead, 262 days
6983.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:i, alive, 476 days
6972.0
TCGA-DD-A1EG-01A
77 years, male, white, stage:i, dead, 1372 days
6900.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:iiia, dead, 547 days
6896.7
TCGA-CC-A5UE-01A
48 years, male, asian, stage:iiib, dead, 272 days
6890.4
TCGA-EP-A12J-01A
63 years, male, black or african american, stage:i, alive, 570 days
6888.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:ii, dead, 195 days
6865.9
TCGA-CC-A123-01A
24 years, female, asian, stage:iiia, alive, 219 days
6854.7
TCGA-G3-A25V-01A
68 years, male, white, stage:i, alive, 860 days
6844.9
TCGA-CC-A7IK-01A
59 years, male, asian, stage:iiia, dead, 262 days
6828.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:i, alive, 2317 days
6798.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:i, dead, 1685 days
6774.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:i, alive, 1085 days
6745.5
TCGA-UB-A7MF-01A
57 years, male, white, stage:iiia, dead, 214 days
6715.0
TCGA-5C-AAPD-01A
61 years, male, asian, stage:ii, alive, 20 days
6679.8
TCGA-DD-AADY-01A
55 years, female, asian, stage:i, alive, 555 days
6678.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:iiia, alive, 6 days
6631.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:i, dead, 899 days
6550.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:i, alive, 512 days
6506.0
TCGA-CC-5260-01A
61 years, female, asian, stage:iiic, dead, 87 days
6468.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:i, dead, 425 days
6467.8
TCGA-XR-A8TG-01A
59 years, male, white, stage:i, alive, 898 days
6465.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:i, dead, 410 days
6458.4
TCGA-G3-A7M6-01A
60 years, female, white, stage:i, alive, 632 days
6423.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:i, dead, 394 days
6293.2
TCGA-MI-A75I-01A
61 years, male, black or african american, alive, 630 days
6208.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:iiic, dead, 300 days
6201.2
TCGA-CC-5262-01A
67 years, male, asian, stage:iiic, dead, 103 days
6145.9
TCGA-DD-A1EH-01A
23 years, male, white, stage:iii, alive, 1495 days
6128.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:iiia, alive, 406 days
6110.1
TCGA-DD-AACS-01A
39 years, male, asian, stage:i, alive, 1804 days
6073.8
TCGA-2Y-A9GS-01A
58 years, male, white, dead, 724 days
6021.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:i, alive, 2324 days
6008.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:ii, alive, 436 days
5993.9
TCGA-DD-AAVS-01A
56 years, male, asian, stage:i, alive, 1823 days
5975.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:i, alive, 1900 days
5972.7
TCGA-DD-AAE7-01A
72 years, male, asian, stage:i, alive, 644 days
5914.4
TCGA-G3-AAV7-01A
38 years, male, asian, stage:ii, alive, 361 days
5897.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:i, alive, 587 days
5866.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:i, dead, 688 days
5834.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:ii, alive, 1241 days
5832.8
TCGA-ED-A627-01A
74 years, male, white, stage:i, alive, 423 days
5830.6
TCGA-HP-A5N0-01A
88 years, female, dead, 1147 days
5829.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:ii, alive, 1067 days
5809.5
TCGA-RC-A7SK-01A
59 years, male, asian, stage:i, alive, 472 days
5795.0
TCGA-DD-A11C-01A
69 years, male, white, stage:i, alive, 662 days
5775.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:iiia, alive, 363 days
5751.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:i, alive, 574 days
5724.3
TCGA-ED-A459-01A
47 years, male, asian, stage:ii, alive, 910 days
5637.7
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:i, dead, 438 days
5637.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:iiia, alive, 248 days
5552.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:iiia, alive, 500 days
5536.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:iiic, alive, 562 days
5482.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:i, alive, 1168 days
5459.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:ii, alive, 387 days
5406.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:i, alive, 1302 days
5404.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:ii, alive, 382 days
5391.7
TCGA-CC-A8HU-01A
39 years, female, asian, stage:iiia, dead, 344 days
5382.3
TCGA-DD-A39X-01A
78 years, female, white, stage:i, dead, 1694 days
5376.8
TCGA-G3-A7M9-01A
70 years, male, white, stage:iiib, dead, 56 days
5362.7
TCGA-BC-A10Y-01A
76 years, male, white, dead, 711 days
5331.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:iiia, dead, 101 days
5285.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, alive, 706 days
5198.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:i, dead, 171 days
5192.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:i, alive, 2015 days
5160.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:i, alive, 486 days
5158.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:iiia, dead, 65 days
5120.3
TCGA-GJ-A9DB-01A
68 years, male, white, stage:i, dead, 67 days
5111.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:iiia, alive, 406 days
5085.8
TCGA-FV-A2QR-01A
male, white, stage:i, dead, 581 days
5047.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:iiia, alive, 925 days
5015.4
TCGA-DD-AAC8-01A
72 years, male, asian, stage:i, dead, 16 days
4984.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:ii, dead, 1149 days
4956.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:i, dead, 52 days
4944.5
TCGA-FV-A3I0-01A
76 years, female, white, stage:ii, alive, 848 days
4940.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:i, dead, 452 days
4881.3
TCGA-DD-A1EI-01A
46 years, male, asian, stage:i, alive, 183 days
4800.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:i, alive, 12 days
4744.2
TCGA-DD-A39V-01A
77 years, male, white, stage:ii, dead, 643 days
4729.6
TCGA-T1-A6J8-01A
68 years, male, white, alive, 23 days
4729.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:ii, alive, 1779 days
4701.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:i, dead, 194 days
4481.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:i, alive, 1567 days
4445.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:i, alive, 9 days
4418.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:ii, alive, 848 days
4315.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:iiia, dead, 296 days
4282.9
TCGA-CC-A3M9-01A
45 years, male, asian, stage:iiia, dead, 300 days
4258.9
TCGA-DD-AAD1-01A
51 years, female, asian, stage:i, alive, 564 days
4248.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:ii, dead, 31 days
4246.4
TCGA-BC-A10W-01A
50 years, male, asian, dead, 91 days
4225.2
TCGA-CC-A7II-01A
55 years, male, asian, stage:iiia, alive, 399 days
4205.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:i, alive, 729 days
4040.1
TCGA-CC-5263-01A
35 years, male, asian, stage:iiia, dead, 129 days
3930.1
TCGA-YA-A8S7-01A
69 years, male, white, stage:iiia, dead, 412 days
3566.4
TCGA-DD-A73C-01A
65 years, female, white, stage:iiia, alive, 701 days
3483.2
TCGA-CC-5258-01A
48 years, male, asian, stage:ii, dead, 129 days
3352.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:ii, alive, 9 days
3351.6
TCGA-ZP-A9D2-01A
51 years, male, white, dead, 765 days
3287.2
TCGA-CC-5264-01A
71 years, male, asian, stage:iiia, dead, 102 days
3037.9
TCGA-BC-4073-01B
73 years, male, white, stage:iiia, alive, 849 days
2793.9
TCGA-FV-A3I1-01A
female, white, stage:ii, dead, 247 days
2654.1
TCGA-UB-A7MB-01A
24 years, male, white, stage:ii, alive, 601 days
2572.6
TCGA-BC-A69H-01A
64 years, male, white, stage:ii, alive, 444 days
2510.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:ii, alive, 854 days
2303.7
TCGA-CC-5261-01A
44 years, male, asian, stage:ii, dead, 97 days
1829.9
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
