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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.
APOH 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average FPKM
2878.9
Number of samples
365
Samples
Sample
Description
FPKM
TCGA-DD-A73D-01A
68 years, female, white, stage:ii, alive, 693 days
11276.9
TCGA-BC-A217-01A
75 years, female, white, stage:ii, dead, 1397 days
9940.4
TCGA-G3-A25S-01A
64 years, male, white, stage:i, dead, 416 days
8410.4
TCGA-G3-A5SI-01A
44 years, male, asian, stage:ii, dead, 768 days
8138.3
TCGA-ES-A2HS-01A
80 years, male, white, stage:i, dead, 688 days
8098.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:i, alive, 430 days
7595.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:ii, dead, 848 days
7521.4
TCGA-FV-A496-01A
84 years, female, white, stage:i, alive, 10 days
7079.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:iiia, alive, 20 days
7078.1
TCGA-DD-A115-01A
53 years, male, white, stage:iiia, dead, 2542 days
6981.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:ii, alive, 816 days
6907.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:i, dead, 1229 days
6542.8
TCGA-DD-A73F-01A
77 years, female, white, stage:i, alive, 1085 days
6411.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:i, alive, 566 days
6405.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:ii, alive, 594 days
6256.2
TCGA-G3-A7M5-01A
76 years, male, asian, stage:i, alive, 447 days
6241.9
TCGA-FV-A2QR-01A
male, white, stage:i, dead, 581 days
6147.4
TCGA-BC-A10Y-01A
76 years, male, white, dead, 711 days
6103.7
TCGA-MR-A520-01A
58 years, male, white, stage:i, alive, 229 days
6058.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:iiia, dead, 278 days
5968.4
TCGA-CC-A7IF-01A
59 years, male, asian, stage:iiia, dead, 649 days
5824.5
TCGA-G3-AAUZ-01A
48 years, male, stage:i, alive, 480 days
5815.1
TCGA-G3-A3CI-01A
71 years, male, white, stage:i, alive, 180 days
5759.3
TCGA-LG-A9QC-01A
48 years, male, white, stage:i, alive, 425 days
5673.4
TCGA-DD-A4NO-01A
66 years, male, white, stage:i, alive, 2245 days
5631.9
TCGA-ZP-A9CZ-01A
72 years, male, asian, alive, 706 days
5607.3
TCGA-DD-AAE4-01A
49 years, female, asian, stage:i, alive, 608 days
5593.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:ii, alive, 621 days
5573.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:ii, alive, 554 days
5549.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:i, alive, 655 days
5444.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:ii, dead, 11 days
5441.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:ii, alive, 2102 days
5415.9
TCGA-DD-AACV-01A
53 years, male, asian, stage:i, alive, 1531 days
5397.6
TCGA-BD-A2L6-01A
69 years, male, white, alive, 1363 days
5356.7
TCGA-DD-A4NP-01A
32 years, male, white, stage:i, alive, 3308 days
5318.6
TCGA-DD-AADG-01A
70 years, male, asian, stage:iiia, alive, 1145 days
5178.0
TCGA-CC-A123-01A
24 years, female, asian, stage:iiia, alive, 219 days
5083.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:ii, alive, 387 days
4919.6
TCGA-DD-AACB-01A
74 years, female, asian, stage:i, alive, 2324 days
4884.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:i, dead, 19 days
4815.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:i, alive, 478 days
4801.2
TCGA-DD-AAEE-01A
55 years, male, asian, stage:i, alive, 810 days
4757.4
TCGA-DD-AADF-01A
64 years, female, asian, stage:i, dead, 115 days
4725.1
TCGA-DD-A11A-01A
67 years, male, black or african american, stage:i, alive, 79 days
4682.5
TCGA-2Y-A9HB-01A
66 years, male, stage:i, alive, 260 days
4682.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:i, alive, 1900 days
4654.0
TCGA-BC-A69I-01A
69 years, male, white, stage:i, alive, 387 days
4645.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:i, dead, 596 days
4632.6
TCGA-DD-AAW1-01A
55 years, male, asian, stage:iiia, alive, 1989 days
4588.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:i, dead, 899 days
4576.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:iiia, dead, 612 days
4566.7
TCGA-DD-AACC-01A
61 years, male, asian, stage:i, dead, 1685 days
4561.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:iiib, dead, 272 days
4540.8
TCGA-DD-A119-01A
40 years, male, asian, stage:iv, dead, 223 days
4539.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:i, alive, 314 days
4529.9
TCGA-ED-A7PY-01A
20 years, female, asian, stage:ii, alive, 390 days
4509.9
TCGA-DD-AADC-01A
53 years, male, asian, stage:i, dead, 425 days
4434.4
TCGA-ZP-A9D0-01A
67 years, female, black or african american, alive, 1091 days
4425.5
TCGA-2Y-A9H3-01A
45 years, male, white, stage:ii, alive, 1516 days
4414.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:i, alive, 697 days
4338.4
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:ii, alive, 6 days
4327.9
TCGA-ZS-A9CF-01A
64 years, male, white, stage:ii, alive, 2412 days
4305.6
TCGA-FV-A495-01A
51 years, female, white, stage:ii, alive, 1 days
4284.6
TCGA-RC-A6M4-01A
74 years, female, white, stage:iiia, alive, 22 days
4282.7
TCGA-DD-A11B-01A
73 years, male, white, stage:i, dead, 14 days
4254.5
TCGA-BC-A10X-01A
52 years, female, white, stage:iiia, dead, 770 days
4219.9
TCGA-O8-A75V-01A
54 years, male, stage:i, alive, 538 days
4205.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:ii, alive, 400 days
4192.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:i, alive, 347 days
4179.2
TCGA-G3-A5SK-01A
58 years, male, white, stage:i, alive, 744 days
4162.4
TCGA-G3-A3CK-01A
61 years, male, asian, stage:i, alive, 585 days
4150.5
TCGA-XR-A8TG-01A
59 years, male, white, stage:i, alive, 898 days
4122.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:i, alive, 472 days
4102.6
TCGA-MI-A75G-01A
63 years, male, white, stage:ii, alive, 698 days
4079.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:ii, alive, 1241 days
4076.3
TCGA-ZP-A9CY-01A
66 years, female, white, alive, 782 days
4075.8
TCGA-DD-AAVY-01A
56 years, male, asian, stage:iiia, alive, 1970 days
4054.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:iiia, dead, 660 days
4049.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:i, alive, 512 days
4031.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:iiia, alive, 406 days
4023.4
TCGA-BC-A10Z-01A
62 years, female, white, stage:i, dead, 34 days
4013.2
TCGA-EP-A26S-01A
70 years, male, white, stage:i, alive, 608 days
3990.0
TCGA-CC-A7IH-01A
58 years, male, asian, stage:iiia, alive, 365 days
3989.1
TCGA-ZP-A9D4-01A
64 years, female, white, alive, 395 days
3966.8
TCGA-DD-AACE-01A
62 years, male, asian, stage:i, alive, 2184 days
3926.5
TCGA-DD-AADA-01A
66 years, female, asian, stage:i, alive, 1233 days
3914.0
TCGA-DD-AADM-01A
58 years, male, asian, stage:ii, dead, 12 days
3912.9
TCGA-G3-AAV0-01A
58 years, male, asian, stage:i, alive, 476 days
3910.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:i, alive, 1711 days
3907.3
TCGA-WX-AA46-01A
62 years, male, white, stage:ii, alive, 756 days
3879.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:i, alive, 1855 days
3846.0
TCGA-DD-A3A3-01A
45 years, male, asian, stage:i, dead, 535 days
3809.3
TCGA-G3-A25U-01A
63 years, female, asian, stage:i, alive, 1636 days
3796.5
TCGA-DD-A11D-01A
57 years, female, white, stage:i, dead, 1560 days
3796.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:i, alive, 322 days
3771.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:i, alive, 486 days
3755.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:i, alive, 1085 days
3739.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:ii, alive, 94 days
3720.5
TCGA-DD-A3A1-01A
65 years, male, stage:iiia, dead, 233 days
3718.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:i, alive, 1450 days
3692.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:i, alive, 1633 days
3682.1
TCGA-KR-A7K8-01A
57 years, male, stage:i, alive, 906 days
3648.4
TCGA-BC-A10S-01A
81 years, male, white, dead, 1423 days
3620.9
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:i, dead, 438 days
3619.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:iiia, alive, 672 days
3603.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:i, alive, 644 days
3601.6
TCGA-HP-A5N0-01A
88 years, female, dead, 1147 days
3601.1
TCGA-DD-AAEK-01A
51 years, male, asian, stage:ii, alive, 1067 days
3598.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:ii, alive, 1618 days
3582.0
TCGA-2Y-A9GU-01A
55 years, female, white, stage:i, alive, 1939 days
3574.8
TCGA-DD-AADO-01A
55 years, male, asian, stage:i, alive, 453 days
3555.6
TCGA-ED-A7XO-01A
29 years, male, asian, stage:iiia, alive, 427 days
3544.3
TCGA-DD-AAE1-01A
52 years, male, asian, stage:i, alive, 552 days
3544.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:i, alive, 784 days
3526.6
TCGA-DD-AAD3-01A
43 years, male, asian, stage:i, alive, 1295 days
3512.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:ii, alive, 680 days
3511.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:ii, alive, 211 days
3508.4
TCGA-G3-AAV2-01A
50 years, male, white, stage:i, alive, 372 days
3507.1
TCGA-K7-A5RF-01A
64 years, male, white, stage:i, alive, 631 days
3496.5
TCGA-NI-A8LF-01A
74 years, male, white, stage:i, alive, 799 days
3483.2
TCGA-DD-A4NF-01A
72 years, male, white, stage:i, alive, 942 days
3449.3
TCGA-DD-AACK-01A
70 years, male, asian, stage:i, alive, 9 days
3449.2
TCGA-RC-A7SB-01A
53 years, male, asian, stage:ii, alive, 588 days
3436.1
TCGA-FV-A23B-01A
70 years, female, white, stage:ii, dead, 1852 days
3420.1
TCGA-MI-A75H-01A
77 years, male, white, alive, 747 days
3406.3
TCGA-BC-A110-01A
51 years, female, black or african american, dead, 2116 days
3395.5
TCGA-DD-A39V-01A
77 years, male, white, stage:ii, dead, 643 days
3367.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:i, alive, 2752 days
3363.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:iiia, dead, 315 days
3354.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:iiic, dead, 359 days
3332.7
TCGA-DD-A3A7-01A
67 years, male, stage:iiib, dead, 419 days
3331.3
TCGA-UB-AA0U-01A
60 years, male, white, stage:ii, alive, 327 days
3295.3
TCGA-MI-A75I-01A
61 years, male, black or african american, alive, 630 days
3289.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:i, alive, 1567 days
3274.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:iiia, alive, 3675 days
3260.8
TCGA-KR-A7K2-01A
64 years, male, white, stage:i, alive, 829 days
3260.2
TCGA-DD-AAEA-01A
65 years, male, asian, stage:i, alive, 575 days
3260.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:iiib, alive, 671 days
3247.0
TCGA-DD-A39X-01A
78 years, female, white, stage:i, dead, 1694 days
3226.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:ii, alive, 395 days
3223.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:iiia, alive, 366 days
3199.1
TCGA-DD-A3A5-01A
66 years, female, white, stage:iii, dead, 3125 days
3187.3
TCGA-5R-AAAM-01A
65 years, female, white, stage:ii, dead, 46 days
3183.7
TCGA-XR-A8TD-01A
49 years, female, white, stage:iiib, alive, 1030 days
3155.2
TCGA-FV-A3I1-01A
female, white, stage:ii, dead, 247 days
3153.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:i, alive, 8 days
3152.3
TCGA-T1-A6J8-01A
68 years, male, white, alive, 23 days
3145.0
TCGA-DD-A3A9-01A
64 years, female, white, stage:ivb, dead, 931 days
3144.8
TCGA-RC-A7S9-01A
47 years, female, asian, stage:i, alive, 640 days
3144.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:i, alive, 2301 days
3141.6
TCGA-BC-A10U-01A
69 years, male, white, dead, 837 days
3097.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:i, alive, 137 days
3085.7
TCGA-DD-A73E-01A
66 years, male, white, stage:i, alive, 44 days
3082.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:i, alive, 1452 days
3080.2
TCGA-2Y-A9GS-01A
58 years, male, white, dead, 724 days
3076.1
TCGA-CC-5259-01A
60 years, female, asian, stage:iiic, alive, 250 days
3055.5
TCGA-ZS-A9CG-01A
55 years, male, white, stage:ii, alive, 341 days
3055.5
TCGA-DD-AADV-01A
50 years, male, asian, stage:i, alive, 574 days
3053.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:ii, dead, 469 days
3046.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:i, alive, 658 days
3046.2
TCGA-UB-A7MB-01A
24 years, male, white, stage:ii, alive, 601 days
3043.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:ii, dead, 31 days
3042.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:iiia, dead, 1210 days
3009.8
TCGA-BC-A216-01A
62 years, female, white, stage:iiia, alive, 1351 days
3004.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:iiia, dead, 262 days
2955.5
TCGA-DD-AAVW-01A
35 years, male, asian, stage:i, alive, 2317 days
2954.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:ii, alive, 412 days
2947.9
TCGA-DD-AAVU-01A
46 years, male, asian, stage:ii, alive, 2202 days
2940.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:i, alive, 2513 days
2939.9
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:iiib, alive, 396 days
2933.4
TCGA-DD-A73G-01A
73 years, female, white, stage:i, alive, 3478 days
2924.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:i, alive, 638 days
2924.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:i, alive, 12 days
2921.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:ii, alive, 436 days
2911.0
TCGA-DD-A1EH-01A
23 years, male, white, stage:iii, alive, 1495 days
2892.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:iiib, dead, 639 days
2865.1
TCGA-ED-A66X-01A
35 years, male, asian, stage:iiia, alive, 406 days
2860.8
TCGA-DD-A1EK-01A
64 years, female, white, stage:ivb, dead, 558 days
2855.9
TCGA-DD-A73B-01A
72 years, female, white, stage:i, dead, 283 days
2850.8
TCGA-DD-A4NS-01A
62 years, female, white, stage:i, dead, 2456 days
2844.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:i, alive, 1219 days
2809.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:i, alive, 579 days
2800.3
TCGA-2Y-A9H7-01A
81 years, female, white, stage:i, alive, 1168 days
2791.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:ii, alive, 354 days
2788.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:iiia, alive, 500 days
2783.2
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:ii, alive, 1098 days
2751.9
TCGA-2Y-A9HA-01A
70 years, male, white, stage:ii, dead, 36 days
2740.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:i, dead, 2532 days
2715.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:i, alive, 1302 days
2710.2
TCGA-KR-A7K0-01A
65 years, male, white, stage:i, dead, 65 days
2702.6
TCGA-DD-AADK-01A
68 years, female, asian, stage:ii, alive, 1049 days
2689.7
TCGA-DD-A73A-01A
71 years, male, white, stage:i, alive, 728 days
2666.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:i, alive, 361 days
2663.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:i, alive, 763 days
2656.9
TCGA-GJ-A9DB-01A
68 years, male, white, stage:i, dead, 67 days
2649.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:i, alive, 1339 days
2620.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:i, alive, 1531 days
2619.8
TCGA-DD-AACT-01A
69 years, female, asian, stage:i, alive, 1562 days
2613.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:i, alive, 1823 days
2602.8
TCGA-4R-AA8I-01A
66 years, male, white, stage:ii, dead, 262 days
2601.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:i, alive, 729 days
2594.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:i, alive, 2746 days
2573.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:i, alive, 2028 days
2562.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:i, alive, 1066 days
2540.4
TCGA-ZP-A9CV-01A
59 years, male, white, dead, 1088 days
2499.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:iiia, dead, 547 days
2469.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:i, alive, 1804 days
2468.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:i, dead, 555 days
2460.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:i, alive, 1876 days
2447.5
TCGA-DD-A1EG-01A
77 years, male, white, stage:i, dead, 1372 days
2434.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:i, alive, 474 days
2434.5
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:i, alive, 2728 days
2427.2
TCGA-G3-A25V-01A
68 years, male, white, stage:i, alive, 860 days
2421.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:i, dead, 1624 days
2409.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:ii, alive, 819 days
2407.9
TCGA-G3-AAV6-01A
53 years, female, white, stage:iiia, dead, 65 days
2399.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:i, alive, 2015 days
2399.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:i, alive, 303 days
2393.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:i, alive, 698 days
2391.6
TCGA-DD-A39W-01A
29 years, female, white, stage:iii, dead, 827 days
2375.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:i, alive, 587 days
2351.9
TCGA-DD-A11C-01A
69 years, male, white, stage:i, alive, 662 days
2322.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:iiia, dead, 347 days
2314.6
TCGA-FV-A3R2-01A
75 years, male, white, stage:i, dead, 194 days
2310.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:i, dead, 1271 days
2308.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:ii, alive, 328 days
2307.0
TCGA-DD-AAEG-01A
59 years, female, asian, stage:i, alive, 719 days
2305.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:i, alive, 1424 days
2291.2
TCGA-BD-A3EP-01A
76 years, female, black or african american, stage:i, alive, 409 days
2286.4
TCGA-DD-A116-01A
68 years, male, asian, stage:iiia, dead, 1622 days
2280.5
TCGA-MI-A75C-01A
64 years, male, white, stage:i, alive, 291 days
2254.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:i, alive, 357 days
2245.1
TCGA-ED-A627-01A
74 years, male, white, stage:i, alive, 423 days
2223.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:i, alive, 458 days
2222.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:ii, alive, 928 days
2216.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:i, alive, 183 days
2173.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:i, alive, 1231 days
2164.4
TCGA-DD-AAE9-01A
69 years, male, asian, stage:i, alive, 722 days
2156.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:ii, alive, 1115 days
2145.0
TCGA-DD-A1EA-01A
68 years, male, asian, stage:ii, alive, 2415 days
2136.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:i, dead, 365 days
2134.1
TCGA-2Y-A9GX-01A
68 years, male, white, stage:i, alive, 2442 days
2124.5
TCGA-HP-A5MZ-01A
62 years, male, stage:i, dead, 91 days
2117.2
TCGA-EP-A12J-01A
63 years, male, black or african american, stage:i, alive, 570 days
2086.5
TCGA-2Y-A9H8-01A
85 years, female, white, dead, 633 days
2079.8
TCGA-DD-A39Z-01A
43 years, female, stage:ii, dead, 601 days
2077.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:i, alive, 519 days
2066.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:ii, alive, 2455 days
2056.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:iiic, dead, 1005 days
2055.6
TCGA-MI-A75E-01A
61 years, male, white, stage:iiic, alive, 507 days
2046.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:iiia, alive, 2398 days
2041.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:i, alive, 345 days
2037.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:ii, dead, 1386 days
2030.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:iiia, alive, 363 days
2027.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:i, dead, 16 days
2009.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:i, alive, 2301 days
2006.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:iiia, dead, 802 days
1988.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:i, alive, 1242 days
1965.2
TCGA-DD-A118-01A
77 years, female, white, stage:ii, alive, 3437 days
1937.3
TCGA-CC-5261-01A
44 years, male, asian, stage:ii, dead, 97 days
1934.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:i, alive, 636 days
1929.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:i, alive, 673 days
1925.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:iiia, dead, 296 days
1918.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:iiia, alive, 925 days
1914.3
TCGA-BC-A10T-01A
76 years, male, white, dead, 837 days
1853.6
TCGA-DD-A113-01A
55 years, female, white, stage:ii, alive, 2425 days
1834.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:iiia, dead, 349 days
1820.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:ii, alive, 170 days
1819.8
TCGA-DD-AACD-01A
48 years, male, asian, stage:i, dead, 381 days
1784.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:i, dead, 452 days
1782.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:iiia, dead, 56 days
1782.1
TCGA-DD-AACQ-01A
50 years, male, asian, stage:ii, dead, 432 days
1781.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:iiic, dead, 300 days
1769.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:i, dead, 27 days
1726.0
TCGA-G3-A3CH-01A
53 years, male, asian, stage:iiia, alive, 780 days
1720.3
TCGA-G3-A5SM-01A
58 years, male, white, stage:ii, alive, 520 days
1710.3
TCGA-BC-A10W-01A
50 years, male, asian, dead, 91 days
1635.8
TCGA-ED-A459-01A
47 years, male, asian, stage:ii, alive, 910 days
1570.8
TCGA-RC-A6M5-01A
20 years, female, white, stage:iva, alive, 15 days
1518.5
TCGA-CC-5264-01A
71 years, male, asian, stage:iiia, dead, 102 days
1505.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:i, dead, 171 days
1502.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:ii, dead, 757 days
1486.3
TCGA-DD-AACP-01A
65 years, male, asian, stage:i, alive, 415 days
1466.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:i, alive, 141 days
1464.7
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:i, dead, 52 days
1461.6
TCGA-CC-5262-01A
67 years, male, asian, stage:iiic, dead, 103 days
1442.4
TCGA-BC-A69H-01A
64 years, male, white, stage:ii, alive, 444 days
1432.4
TCGA-5R-AA1C-01A
57 years, male, white, stage:ii, alive, 520 days
1419.5
TCGA-ZP-A9D1-01A
56 years, female, white, alive, 21 days
1376.5
TCGA-EP-A2KA-01A
52 years, female, white, stage:iiia, dead, 627 days
1368.6
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:ii, dead, 415 days
1368.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:i, alive, 564 days
1351.3
TCGA-CC-5258-01A
48 years, male, asian, stage:ii, dead, 129 days
1343.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:i, dead, 9 days
1330.9
TCGA-CC-A5UD-01A
45 years, male, asian, stage:iiia, dead, 304 days
1324.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:i, alive, 879 days
1299.2
TCGA-UB-A7MA-01A
62 years, female, white, stage:ii, alive, 848 days
1279.2
TCGA-BC-4073-01B
73 years, male, white, stage:iiia, alive, 849 days
1277.2
TCGA-WX-AA44-01A
64 years, female, white, stage:i, alive, 615 days
1258.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:iiia, alive, 363 days
1257.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:ii, alive, 1570 days
1236.6
TCGA-DD-AADY-01A
55 years, female, asian, stage:i, alive, 555 days
1223.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:i, alive, 898 days
1202.1
TCGA-UB-A7MF-01A
57 years, male, white, stage:iiia, dead, 214 days
1201.1
TCGA-DD-A1EF-01A
57 years, female, white, stage:i, dead, 394 days
1144.7
TCGA-CC-5263-01A
35 years, male, asian, stage:iiia, dead, 129 days
1117.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:iiia, dead, 344 days
1050.0
TCGA-CC-A9FW-01A
68 years, male, asian, stage:iiia, alive, 248 days
1043.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:iiia, dead, 2486 days
1036.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:i, dead, 366 days
1034.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:i, dead, 107 days
1011.0
TCGA-DD-A4NH-01A
65 years, female, white, stage:iiib, alive, 917 days
1001.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:ii, alive, 20 days
971.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:iiic, alive, 562 days
969.1
TCGA-KR-A7K7-01A
61 years, female, white, stage:ii, alive, 951 days
956.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:ii, alive, 854 days
956.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:ii, alive, 468 days
933.3
TCGA-CC-A7IG-01A
47 years, male, asian, stage:ii, dead, 299 days
889.7
TCGA-RC-A6M6-01A
75 years, male, white, stage:ii, alive, 9 days
859.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:ii, dead, 279 days
852.7
TCGA-DD-A4NB-01A
25 years, male, white, stage:i, alive, 989 days
831.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:ii, dead, 1149 days
762.1
TCGA-DD-AACZ-01A
63 years, female, asian, stage:i, dead, 171 days
741.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:ii, dead, 195 days
730.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:iiia, alive, 449 days
679.8
TCGA-G3-AAV7-01A
38 years, male, asian, stage:ii, alive, 361 days
650.9
TCGA-CC-A7IE-01A
57 years, male, asian, stage:iiia, dead, 217 days
637.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:iiia, dead, 140 days
619.8
TCGA-ZP-A9D2-01A
51 years, male, white, dead, 765 days
584.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:iiia, alive, 6 days
563.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:i, alive, 632 days
545.9
TCGA-BC-A10R-01A
66 years, female, white, dead, 308 days
477.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:i, alive, 1345 days
463.5
TCGA-DD-AAE0-01A
45 years, female, asian, stage:iiia, alive, 555 days
457.6
TCGA-XR-A8TF-01A
74 years, male, white, stage:i, dead, 693 days
448.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:ii, dead, 373 days
434.7
TCGA-G3-A25T-01A
45 years, female, white, stage:iiia, alive, 1553 days
428.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:ii, alive, 359 days
424.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:ii, alive, 1779 days
376.5
TCGA-BC-4072-01B
74 years, female, white, stage:iiia, dead, 1490 days
368.0
TCGA-G3-A7M9-01A
70 years, male, white, stage:iiib, dead, 56 days
362.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:i, alive, 1731 days
351.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:iiia, dead, 303 days
338.3
TCGA-WQ-A9G7-01A
female, white, alive, 30 days
327.9
TCGA-WX-AA47-01A
33 years, female, white, stage:iiia, dead, 556 days
304.0
TCGA-YA-A8S7-01A
69 years, male, white, stage:iiia, dead, 412 days
250.2
TCGA-DD-A1EC-01A
20 years, female, white, stage:i, alive, 602 days
246.0
TCGA-MR-A8JO-01A
34 years, male, white, stage:i, alive, 330 days
157.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:iiia, dead, 101 days
119.4
TCGA-FV-A3I0-01A
76 years, female, white, stage:ii, alive, 848 days
104.4
TCGA-BC-A112-01A
80 years, male, white, dead, 153 days
98.7
TCGA-BC-A10Q-01A
72 years, female, white, dead, 1135 days
88.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:i, dead, 410 days
66.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:iiia, dead, 1791 days
46.3
TCGA-DD-A3A2-01A
76 years, female, white, stage:i, dead, 2131 days
29.0
TCGA-CC-A7II-01A
55 years, male, asian, stage:iiia, alive, 399 days
28.6
TCGA-CC-5260-01A
61 years, female, asian, stage:iiic, dead, 87 days
27.7
TCGA-ED-A7PX-01A
48 years, female, asian, stage:ii, alive, 6 days
23.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:iiic, alive, 1008 days
9.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:iiia, alive, 408 days
7.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:ii, dead, 3258 days
5.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:ii, alive, 382 days
5.0
TCGA-CC-A3M9-01A
45 years, male, asian, stage:iiia, dead, 300 days
1.0
TCGA-DD-A73C-01A
65 years, female, white, stage:iiia, alive, 701 days
0.7
TCGA-DD-A1EB-01A
72 years, female, stage:i, alive, 2017 days
0.1
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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
