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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.
FGA 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
2431.6
Number of samples
365
Samples
Sample
Description
FPKM
TCGA-DD-AADQ-01A
59 years, male, asian, stage:ii, alive, 436 days
11878.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:ii, alive, 1779 days
10829.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:i, alive, 2301 days
9147.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:i, alive, 602 days
8796.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:i, alive, 3308 days
8743.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:i, alive, 1711 days
8069.3
TCGA-XR-A8TG-01A
59 years, male, white, stage:i, alive, 898 days
7766.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:iiia, alive, 449 days
7383.2
TCGA-DD-AAD2-01A
66 years, male, asian, stage:i, alive, 658 days
7196.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:i, dead, 366 days
6613.8
TCGA-G3-A3CK-01A
61 years, male, asian, stage:i, alive, 585 days
6404.5
TCGA-WX-AA47-01A
33 years, female, white, stage:iiia, dead, 556 days
6353.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:iva, alive, 15 days
6353.8
TCGA-O8-A75V-01A
54 years, male, stage:i, alive, 538 days
6320.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:i, alive, 361 days
6297.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:i, alive, 1450 days
6282.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:i, alive, 347 days
6186.3
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:i, dead, 438 days
6104.8
TCGA-DD-A4NB-01A
25 years, male, white, stage:i, alive, 989 days
6045.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:i, dead, 535 days
6021.1
TCGA-DD-AAVV-01A
56 years, male, asian, stage:ii, alive, 2455 days
5999.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, alive, 1091 days
5979.8
TCGA-DD-AAVX-01A
38 years, male, asian, stage:ii, alive, 1570 days
5923.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:i, alive, 744 days
5821.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:i, alive, 673 days
5702.6
TCGA-ZP-A9CY-01A
66 years, female, white, alive, 782 days
5435.2
TCGA-K7-A6G5-01A
66 years, male, white, stage:i, alive, 512 days
5424.2
TCGA-LG-A9QD-01A
68 years, male, white, stage:iiia, alive, 366 days
5376.4
TCGA-DD-A4NR-01A
85 years, female, white, stage:i, dead, 9 days
5319.2
TCGA-2Y-A9H6-01A
68 years, female, white, stage:i, alive, 357 days
5295.5
TCGA-BC-A110-01A
51 years, female, black or african american, dead, 2116 days
5295.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:i, alive, 1562 days
5285.4
TCGA-BC-4073-01B
73 years, male, white, stage:iiia, alive, 849 days
5203.9
TCGA-BC-A69I-01A
69 years, male, white, stage:i, alive, 387 days
5129.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:ii, alive, 341 days
5121.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:i, alive, 430 days
5096.0
TCGA-2Y-A9GW-01A
64 years, male, white, stage:i, dead, 1271 days
5058.8
TCGA-DD-A113-01A
55 years, female, white, stage:ii, alive, 2425 days
4998.8
TCGA-BC-A10S-01A
81 years, male, white, dead, 1423 days
4993.5
TCGA-BC-A10Y-01A
76 years, male, white, dead, 711 days
4955.9
TCGA-2Y-A9H1-01A
58 years, male, white, stage:i, dead, 1229 days
4950.2
TCGA-PD-A5DF-01A
58 years, female, white, stage:iiib, dead, 639 days
4855.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:i, alive, 697 days
4753.7
TCGA-ED-A459-01A
47 years, male, asian, stage:ii, alive, 910 days
4688.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:i, alive, 644 days
4611.4
TCGA-ZS-A9CD-01A
73 years, male, white, stage:ii, dead, 1386 days
4571.0
TCGA-DD-AACD-01A
48 years, male, asian, stage:i, dead, 381 days
4541.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:i, dead, 19 days
4519.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:ii, alive, 951 days
4516.5
TCGA-DD-A11C-01A
69 years, male, white, stage:i, alive, 662 days
4394.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:ii, alive, 1115 days
4364.0
TCGA-LG-A6GG-01A
79 years, female, white, stage:ii, alive, 387 days
4343.0
TCGA-ZP-A9CV-01A
59 years, male, white, dead, 1088 days
4336.0
TCGA-DD-A73A-01A
71 years, male, white, stage:i, alive, 728 days
4293.6
TCGA-G3-A25V-01A
68 years, male, white, stage:i, alive, 860 days
4278.2
TCGA-WQ-AB4B-01A
62 years, male, white, stage:ii, alive, 395 days
4150.3
TCGA-DD-A118-01A
77 years, female, white, stage:ii, alive, 3437 days
4073.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:i, alive, 330 days
3908.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:i, dead, 2532 days
3906.1
TCGA-DD-AACO-01A
40 years, male, asian, stage:i, alive, 1876 days
3817.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:ii, alive, 594 days
3791.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:i, alive, 719 days
3774.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:ii, alive, 1516 days
3754.6
TCGA-HP-A5MZ-01A
62 years, male, stage:i, dead, 91 days
3725.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, alive, 706 days
3724.0
TCGA-ZP-A9D1-01A
56 years, female, white, alive, 21 days
3703.2
TCGA-BC-A10X-01A
52 years, female, white, stage:iiia, dead, 770 days
3685.1
TCGA-G3-AAUZ-01A
48 years, male, stage:i, alive, 480 days
3676.0
TCGA-RC-A7S9-01A
47 years, female, asian, stage:i, alive, 640 days
3650.4
TCGA-MI-A75E-01A
61 years, male, white, stage:iiic, alive, 507 days
3641.7
TCGA-K7-A5RF-01A
64 years, male, white, stage:i, alive, 631 days
3619.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:i, alive, 458 days
3587.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:iiia, alive, 363 days
3580.8
TCGA-DD-AADM-01A
58 years, male, asian, stage:ii, dead, 12 days
3566.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:i, dead, 16 days
3566.4
TCGA-DD-A4NO-01A
66 years, male, white, stage:i, alive, 2245 days
3559.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:i, dead, 1624 days
3502.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:i, alive, 180 days
3497.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:ii, alive, 1618 days
3487.7
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:iiib, alive, 396 days
3486.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:iiia, alive, 1989 days
3481.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:i, alive, 1233 days
3470.5
TCGA-2Y-A9HB-01A
66 years, male, stage:i, alive, 260 days
3340.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:i, alive, 1633 days
3333.5
TCGA-DD-A73G-01A
73 years, female, white, stage:i, alive, 3478 days
3263.4
TCGA-ED-A627-01A
74 years, male, white, stage:i, alive, 423 days
3257.9
TCGA-DD-A39Z-01A
43 years, female, stage:ii, dead, 601 days
3220.8
TCGA-BD-A3EP-01A
76 years, female, black or african american, stage:i, alive, 409 days
3220.6
TCGA-CC-5259-01A
60 years, female, asian, stage:iiic, alive, 250 days
3217.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:i, alive, 566 days
3199.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:i, alive, 2746 days
3185.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:ii, dead, 46 days
3171.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:ii, alive, 928 days
3147.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:i, alive, 1900 days
3140.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:i, alive, 655 days
3116.4
TCGA-DD-AAEK-01A
51 years, male, asian, stage:ii, alive, 1067 days
3107.2
TCGA-MR-A520-01A
58 years, male, white, stage:i, alive, 229 days
3099.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:iiia, alive, 672 days
3088.9
TCGA-UB-AA0U-01A
60 years, male, white, stage:ii, alive, 327 days
3087.7
TCGA-DD-A4NQ-01A
60 years, male, white, stage:ii, dead, 373 days
3074.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:ii, alive, 819 days
3062.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:i, alive, 2442 days
3060.3
TCGA-FV-A23B-01A
70 years, female, white, stage:ii, dead, 1852 days
3037.2
TCGA-ES-A2HS-01A
80 years, male, white, stage:i, dead, 688 days
3023.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:ii, alive, 621 days
3017.0
TCGA-MI-A75C-01A
64 years, male, white, stage:i, alive, 291 days
3014.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:ii, alive, 328 days
3002.2
TCGA-DD-AAVR-01A
44 years, male, asian, stage:i, alive, 2513 days
2995.1
TCGA-2Y-A9H5-01A
59 years, female, white, stage:i, dead, 555 days
2974.8
TCGA-BC-A10W-01A
50 years, male, asian, dead, 91 days
2966.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:ii, alive, 816 days
2948.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:i, alive, 1345 days
2920.6
TCGA-WX-AA46-01A
62 years, male, white, stage:ii, alive, 756 days
2910.6
TCGA-G3-A6UC-01A
65 years, male, white, stage:iiib, alive, 671 days
2854.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:iiia, alive, 248 days
2849.8
TCGA-ED-A8O6-01A
50 years, female, asian, stage:iiia, dead, 56 days
2849.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:i, alive, 638 days
2817.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:i, alive, 303 days
2809.0
TCGA-DD-A4NK-01A
80 years, female, white, stage:iiia, dead, 1210 days
2800.8
TCGA-DD-A3A4-01A
37 years, male, white, stage:iiia, dead, 612 days
2800.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:i, alive, 799 days
2790.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:i, alive, 1452 days
2767.7
TCGA-BC-A216-01A
62 years, female, white, stage:iiia, alive, 1351 days
2766.3
TCGA-FV-A3R2-01A
75 years, male, white, stage:i, dead, 194 days
2739.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:ii, alive, 554 days
2719.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:ii, alive, 520 days
2704.7
TCGA-DD-A73C-01A
65 years, female, white, stage:iiia, alive, 701 days
2704.5
TCGA-DD-AAD3-01A
43 years, male, asian, stage:i, alive, 1295 days
2704.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:i, dead, 52 days
2692.9
TCGA-2Y-A9GU-01A
55 years, female, white, stage:i, alive, 1939 days
2674.0
TCGA-5C-A9VH-01A
70 years, male, white, stage:i, alive, 322 days
2663.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:ii, dead, 768 days
2654.7
TCGA-G3-AAV3-01A
58 years, female, white, stage:ii, alive, 412 days
2646.4
TCGA-RC-A7SF-01A
66 years, male, asian, stage:i, alive, 579 days
2645.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:i, alive, 829 days
2627.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:i, dead, 365 days
2615.6
TCGA-DD-A39X-01A
78 years, female, white, stage:i, dead, 1694 days
2558.2
TCGA-DD-A39V-01A
77 years, male, white, stage:ii, dead, 643 days
2518.5
TCGA-DD-AACK-01A
70 years, male, asian, stage:i, alive, 9 days
2506.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:ii, alive, 400 days
2494.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:i, dead, 115 days
2494.1
TCGA-DD-A3A1-01A
65 years, male, stage:iiia, dead, 233 days
2482.2
TCGA-BC-A10U-01A
69 years, male, white, dead, 837 days
2466.1
TCGA-DD-AAD8-01A
73 years, female, asian, stage:i, alive, 1219 days
2462.8
TCGA-KR-A7K0-01A
65 years, male, white, stage:i, dead, 65 days
2451.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:ii, alive, 1098 days
2448.1
TCGA-BC-A10R-01A
66 years, female, white, dead, 308 days
2437.6
TCGA-CC-A7IH-01A
58 years, male, asian, stage:iiia, alive, 365 days
2436.0
TCGA-DD-A73F-01A
77 years, female, white, stage:i, alive, 1085 days
2420.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:i, alive, 314 days
2415.8
TCGA-UB-A7MF-01A
57 years, male, white, stage:iiia, dead, 214 days
2401.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:ii, alive, 359 days
2388.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:i, alive, 555 days
2384.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:iiia, dead, 649 days
2382.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:iiib, dead, 272 days
2380.9
TCGA-DD-A1EK-01A
64 years, female, white, stage:ivb, dead, 558 days
2374.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:i, dead, 394 days
2372.4
TCGA-DD-AADS-01A
63 years, male, asian, stage:i, alive, 474 days
2360.9
TCGA-FV-A3I1-01A
female, white, stage:ii, dead, 247 days
2358.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:iiia, alive, 363 days
2352.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:i, alive, 1168 days
2295.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:ii, alive, 2102 days
2287.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:iiic, alive, 1008 days
2270.5
TCGA-DD-A39Y-01A
67 years, male, asian, stage:i, dead, 171 days
2249.8
TCGA-DD-A73D-01A
68 years, female, white, stage:ii, alive, 693 days
2249.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:i, alive, 729 days
2248.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:i, alive, 1531 days
2195.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:ii, dead, 11 days
2160.7
TCGA-DD-A4NE-01A
75 years, female, white, stage:iiia, dead, 660 days
2158.5
TCGA-DD-A119-01A
40 years, male, asian, stage:iv, dead, 223 days
2141.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:i, alive, 372 days
2140.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:i, alive, 1855 days
2132.5
TCGA-G3-A5SJ-01A
59 years, male, white, stage:i, alive, 698 days
2129.0
TCGA-DD-A1EG-01A
77 years, male, white, stage:i, dead, 1372 days
2124.5
TCGA-DD-AADO-01A
55 years, male, asian, stage:i, alive, 453 days
2117.4
TCGA-DD-A73E-01A
66 years, male, white, stage:i, alive, 44 days
2116.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:i, alive, 564 days
2110.7
TCGA-DD-A11A-01A
67 years, male, black or african american, stage:i, alive, 79 days
2109.8
TCGA-DD-AAE4-01A
49 years, female, asian, stage:i, alive, 608 days
2092.7
TCGA-DD-A3A7-01A
67 years, male, stage:iiib, dead, 419 days
2092.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:i, alive, 942 days
2091.5
TCGA-GJ-A6C0-01A
75 years, female, white, stage:ii, dead, 31 days
2090.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:i, dead, 171 days
2051.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:iiia, alive, 1970 days
2026.1
TCGA-DD-A1EE-01A
73 years, male, white, stage:iiia, dead, 349 days
2019.7
TCGA-NI-A4U2-01A
71 years, male, white, stage:iiia, dead, 1791 days
2015.4
TCGA-G3-A3CH-01A
53 years, male, asian, stage:iiia, alive, 780 days
2013.5
TCGA-CC-A123-01A
24 years, female, asian, stage:iiia, alive, 219 days
1991.2
TCGA-G3-AAV1-01A
51 years, male, asian, stage:iiic, dead, 359 days
1970.6
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:ii, dead, 848 days
1967.7
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:ii, alive, 94 days
1914.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:iiia, alive, 1145 days
1903.3
TCGA-CC-A7IL-01A
61 years, male, asian, stage:iiia, dead, 278 days
1899.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:iiia, alive, 6 days
1895.3
TCGA-DD-AAEB-01A
60 years, male, asian, stage:i, alive, 478 days
1894.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:ii, alive, 848 days
1891.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:i, alive, 1636 days
1888.4
TCGA-BC-4072-01B
74 years, female, white, stage:iiia, dead, 1490 days
1876.5
TCGA-CC-5264-01A
71 years, male, asian, stage:iiia, dead, 102 days
1860.9
TCGA-DD-A73B-01A
72 years, female, white, stage:i, dead, 283 days
1854.0
TCGA-DD-A4NV-01A
61 years, male, white, stage:iiia, alive, 2398 days
1850.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:ii, alive, 2412 days
1844.5
TCGA-CC-5262-01A
67 years, male, asian, stage:iiic, dead, 103 days
1843.7
TCGA-DD-AAEE-01A
55 years, male, asian, stage:i, alive, 810 days
1841.7
TCGA-DD-A115-01A
53 years, male, white, stage:iiia, dead, 2542 days
1838.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:ii, alive, 1049 days
1832.8
TCGA-DD-AACC-01A
61 years, male, asian, stage:i, dead, 1685 days
1806.7
TCGA-MI-A75H-01A
77 years, male, white, alive, 747 days
1798.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:iiia, alive, 22 days
1786.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:i, alive, 784 days
1777.5
TCGA-UB-A7MC-01A
59 years, male, white, stage:iiia, alive, 500 days
1775.3
TCGA-DD-AACH-01A
69 years, male, asian, stage:ii, dead, 195 days
1769.1
TCGA-T1-A6J8-01A
68 years, male, white, alive, 23 days
1735.0
TCGA-DD-A4NS-01A
62 years, female, white, stage:i, dead, 2456 days
1726.9
TCGA-DD-AAVP-01A
48 years, male, asian, stage:i, alive, 2752 days
1722.7
TCGA-HP-A5N0-01A
88 years, female, dead, 1147 days
1719.0
TCGA-BC-A217-01A
75 years, female, white, stage:ii, dead, 1397 days
1716.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:i, alive, 476 days
1706.3
TCGA-EP-A12J-01A
63 years, male, black or african american, stage:i, alive, 570 days
1695.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:i, alive, 1804 days
1687.8
TCGA-MI-A75I-01A
61 years, male, black or african american, alive, 630 days
1679.1
TCGA-DD-AAW0-01A
54 years, male, asian, stage:i, alive, 2015 days
1674.2
TCGA-DD-AACV-01A
53 years, male, asian, stage:i, alive, 1531 days
1673.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:ii, alive, 9 days
1630.8
TCGA-DD-A4NG-01A
77 years, male, white, stage:iiia, dead, 802 days
1625.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:iiia, alive, 20 days
1624.3
TCGA-EP-A2KB-01A
46 years, female, white, stage:i, dead, 596 days
1622.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:i, alive, 1302 days
1599.4
TCGA-ZP-A9D4-01A
64 years, female, white, alive, 395 days
1584.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:ii, dead, 36 days
1581.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:ii, alive, 2415 days
1542.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:i, alive, 1066 days
1539.2
TCGA-DD-A11D-01A
57 years, female, white, stage:i, dead, 1560 days
1530.3
TCGA-RC-A7SK-01A
59 years, male, asian, stage:i, alive, 472 days
1519.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:i, alive, 722 days
1478.6
TCGA-BC-A10Z-01A
62 years, female, white, stage:i, dead, 34 days
1470.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:iiia, alive, 427 days
1468.6
TCGA-UB-A7ME-01A
51 years, male, asian, stage:i, alive, 486 days
1464.7
TCGA-DD-A1EI-01A
46 years, male, asian, stage:i, alive, 183 days
1450.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:i, alive, 447 days
1447.0
TCGA-FV-A495-01A
51 years, female, white, stage:ii, alive, 1 days
1438.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:i, alive, 574 days
1420.9
TCGA-CC-5258-01A
48 years, male, asian, stage:ii, dead, 129 days
1420.8
TCGA-MI-A75G-01A
63 years, male, white, stage:ii, alive, 698 days
1420.2
TCGA-DD-AAVU-01A
46 years, male, asian, stage:ii, alive, 2202 days
1383.9
TCGA-DD-A11B-01A
73 years, male, white, stage:i, dead, 14 days
1380.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:i, dead, 2131 days
1367.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:ii, dead, 262 days
1367.2
TCGA-5C-AAPD-01A
61 years, male, asian, stage:ii, alive, 20 days
1354.5
TCGA-DD-A3A5-01A
66 years, female, white, stage:iii, dead, 3125 days
1343.8
TCGA-BD-A2L6-01A
69 years, male, white, alive, 1363 days
1325.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:i, alive, 1567 days
1322.4
TCGA-DD-AAD0-01A
73 years, female, asian, stage:i, alive, 137 days
1312.8
TCGA-2Y-A9H8-01A
85 years, female, white, dead, 633 days
1303.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:i, alive, 879 days
1302.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:i, dead, 452 days
1290.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:i, dead, 67 days
1286.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:i, alive, 575 days
1261.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:ii, alive, 1241 days
1257.8
TCGA-DD-AADR-01A
58 years, male, asian, stage:i, alive, 2028 days
1254.0
TCGA-WX-AA44-01A
64 years, female, white, stage:i, alive, 615 days
1243.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:i, alive, 345 days
1233.4
TCGA-YA-A8S7-01A
69 years, male, white, stage:iiia, dead, 412 days
1188.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:ii, alive, 354 days
1184.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:ii, alive, 520 days
1170.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:iiia, dead, 547 days
1166.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:iiia, dead, 65 days
1165.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:iiia, dead, 627 days
1165.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:i, alive, 2728 days
1147.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:iiia, dead, 101 days
1097.2
TCGA-DD-A4NN-01A
56 years, female, white, stage:i, dead, 899 days
1093.7
TCGA-BC-A3KF-01A
66 years, female, white, stage:i, alive, 8 days
1090.1
TCGA-KR-A7K8-01A
57 years, male, stage:i, alive, 906 days
1071.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:ii, alive, 601 days
1069.6
TCGA-DD-A3A9-01A
64 years, female, white, stage:ivb, dead, 931 days
1056.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:iiia, dead, 217 days
1039.4
TCGA-EP-A26S-01A
70 years, male, white, stage:i, alive, 608 days
1034.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:ii, alive, 211 days
1026.9
TCGA-G3-A25S-01A
64 years, male, white, stage:i, dead, 416 days
1022.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:iiia, dead, 347 days
1017.7
TCGA-DD-A1EB-01A
72 years, female, stage:i, alive, 2017 days
995.8
TCGA-DD-A116-01A
68 years, male, asian, stage:iiia, dead, 1622 days
973.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:iiib, alive, 1030 days
972.6
TCGA-CC-A8HU-01A
39 years, female, asian, stage:iiia, dead, 344 days
965.6
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:i, alive, 12 days
943.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:iiia, alive, 406 days
934.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:iiia, alive, 925 days
934.2
TCGA-CC-5263-01A
35 years, male, asian, stage:iiia, dead, 129 days
916.6
TCGA-2Y-A9GS-01A
58 years, male, white, dead, 724 days
910.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:i, alive, 2184 days
905.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:i, alive, 1424 days
900.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:ii, dead, 469 days
889.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:iiic, alive, 562 days
884.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:iii, alive, 1495 days
861.6
TCGA-ED-A7PY-01A
20 years, female, asian, stage:ii, alive, 390 days
857.3
TCGA-ED-A8O5-01A
59 years, female, asian, stage:iiia, alive, 406 days
842.6
TCGA-ZP-A9D2-01A
51 years, male, white, dead, 765 days
839.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:iiia, dead, 315 days
836.9
TCGA-DD-AACP-01A
65 years, male, asian, stage:i, alive, 415 days
832.8
TCGA-BC-A10T-01A
76 years, male, white, dead, 837 days
819.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:ii, alive, 361 days
816.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:i, alive, 519 days
799.3
TCGA-DD-AADB-01A
51 years, male, asian, stage:i, alive, 1242 days
784.9
TCGA-ED-A66Y-01A
51 years, female, asian, stage:iiia, dead, 296 days
782.2
TCGA-DD-A1EJ-01A
71 years, female, white, stage:iiic, dead, 1005 days
771.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:ii, alive, 6 days
765.1
TCGA-DD-AADI-01A
43 years, female, asian, stage:i, alive, 1085 days
764.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:i, alive, 2301 days
763.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:i, alive, 1823 days
740.0
TCGA-BC-A69H-01A
64 years, male, white, stage:ii, alive, 444 days
735.0
TCGA-CC-5261-01A
44 years, male, asian, stage:ii, dead, 97 days
726.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:i, alive, 636 days
720.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:i, alive, 552 days
718.4
TCGA-DD-AADW-01A
48 years, male, asian, stage:i, alive, 587 days
714.9
TCGA-DD-AACX-01A
66 years, male, asian, stage:ii, alive, 170 days
713.0
TCGA-DD-AACB-01A
74 years, female, asian, stage:i, alive, 2324 days
704.5
TCGA-BC-A112-01A
80 years, male, white, dead, 153 days
691.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:i, dead, 693 days
662.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:i, alive, 763 days
657.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:i, alive, 898 days
651.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:iiia, alive, 3675 days
650.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:ii, dead, 415 days
646.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:ii, alive, 588 days
644.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:i, dead, 425 days
629.4
TCGA-DD-AADD-01A
51 years, male, asian, stage:i, alive, 1231 days
618.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:iiia, dead, 140 days
612.4
TCGA-2Y-A9GY-01A
64 years, female, white, stage:ii, dead, 757 days
608.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:i, alive, 1339 days
603.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:ii, alive, 680 days
589.9
TCGA-G3-A7M6-01A
60 years, female, white, stage:i, alive, 632 days
589.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:i, alive, 2317 days
564.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:iiia, dead, 303 days
538.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:i, alive, 425 days
538.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:iiia, dead, 262 days
504.3
TCGA-2Y-A9H2-01A
64 years, female, white, stage:i, alive, 1731 days
501.7
TCGA-DD-AACQ-01A
50 years, male, asian, stage:ii, dead, 432 days
455.3
TCGA-G3-A25T-01A
45 years, female, white, stage:iiia, alive, 1553 days
431.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:ii, dead, 279 days
429.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:iiib, alive, 917 days
417.1
TCGA-RC-A7SH-01A
42 years, male, asian, stage:ii, alive, 468 days
413.3
TCGA-FV-A2QR-01A
male, white, stage:i, dead, 581 days
408.2
TCGA-WQ-A9G7-01A
female, white, alive, 30 days
385.3
TCGA-FV-A496-01A
84 years, female, white, stage:i, alive, 10 days
353.0
TCGA-DD-A114-01A
42 years, male, black or african american, stage:ii, dead, 1149 days
338.3
TCGA-G3-A7M9-01A
70 years, male, white, stage:iiib, dead, 56 days
331.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:iiic, dead, 300 days
329.2
TCGA-DD-AACL-01A
66 years, female, asian, stage:i, dead, 107 days
321.5
TCGA-G3-AAV4-01A
83 years, female, white, stage:i, dead, 27 days
314.8
TCGA-FV-A4ZP-01A
78 years, male, white, stage:iiia, dead, 2486 days
304.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:ii, dead, 299 days
296.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:ii, alive, 6 days
262.3
TCGA-ED-A5KG-01A
60 years, female, asian, stage:ii, alive, 854 days
223.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:iiia, dead, 304 days
155.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:iiia, alive, 555 days
133.6
TCGA-DD-AAE6-01A
59 years, female, asian, stage:i, alive, 141 days
132.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:i, dead, 410 days
66.1
TCGA-BC-A10Q-01A
72 years, female, white, dead, 1135 days
63.6
TCGA-DD-A39W-01A
29 years, female, white, stage:iii, dead, 827 days
45.8
TCGA-CC-A7II-01A
55 years, male, asian, stage:iiia, alive, 399 days
7.8
TCGA-FV-A3I0-01A
76 years, female, white, stage:ii, alive, 848 days
7.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:iiia, alive, 408 days
5.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:ii, dead, 3258 days
5.2
TCGA-CC-5260-01A
61 years, female, asian, stage:iiic, dead, 87 days
4.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:iiia, dead, 300 days
1.4
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:ii, alive, 382 days
0.9
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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
