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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.
ALDOB is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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 pTPM
2587.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
32017.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
19818.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
16945.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
16733.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
13175.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
11990.3
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
11954.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
10795.0
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
10757.2
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
10313.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
10252.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
9443.8
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
8505.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
8452.6
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
8217.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
8068.1
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
8039.2
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
7988.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
7925.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
7842.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
7789.6
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
7749.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
7731.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
7586.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
7537.9
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
7230.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
7027.5
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
6951.1
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
6673.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
6432.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
6328.8
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
6289.6
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
6278.6
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
6264.4
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
6216.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
6212.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
6092.9
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
6070.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6001.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
5925.9
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
5917.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
5788.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
5666.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
5527.3
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5484.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
5457.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
5400.9
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
5363.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
5286.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
5038.1
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
4965.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
4964.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
4836.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
4822.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
4804.4
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
4659.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
4650.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
4621.5
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
4608.8
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
4600.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
4523.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
4471.4
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
4290.2
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
4285.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
4268.7
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4264.0
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
4260.2
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
4248.7
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
4224.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
4150.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
4123.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
4101.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
4085.5
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
4072.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
4038.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
3980.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
3952.8
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
3917.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
3882.7
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
3860.5
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3806.2
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
3802.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
3770.8
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
3743.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
3728.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
3727.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
3712.8
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3631.9
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3606.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3604.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
3603.3
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
3467.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
3441.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3307.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
3290.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
3173.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
3108.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
3093.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
3087.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
3073.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
3060.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3049.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3047.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3014.0
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
3004.0
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3000.0
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
2983.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
2979.6
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
2939.1
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2926.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2921.8
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2909.4
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2823.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
2802.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2801.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2772.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2762.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2742.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2740.0
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2734.7
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
2689.5
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2671.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
2669.8
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2650.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
2638.0
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2632.0
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
2550.8
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2549.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2521.8
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2519.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
2469.4
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2456.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
2441.9
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
2437.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
2435.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
2427.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2414.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2410.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
2392.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
2369.5
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2368.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2359.0
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
2349.1
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
2345.6
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
2336.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
2307.5
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
2294.9
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2263.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
2261.1
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
2228.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
2219.7
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
2208.5
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2167.5
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2111.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2058.7
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2045.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2037.9
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
2004.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
2004.0
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
1989.3
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
1986.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
1985.0
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1960.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1959.9
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1952.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1920.0
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1919.9
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1913.8
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1912.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
1905.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
1895.6
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
1888.9
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1888.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1872.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1846.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1741.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1732.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
1730.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1696.9
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1663.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1622.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1616.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1611.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1596.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1570.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
1555.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1508.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
1505.4
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1504.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1499.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1485.1
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1482.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
1472.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1467.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1466.5
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1466.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
1451.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1436.4
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1424.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1418.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1408.1
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1403.9
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1388.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1365.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1361.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1348.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1348.6
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
1317.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1299.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1293.7
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1285.9
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1277.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1262.1
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
1242.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1207.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1177.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
1176.9
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1175.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1174.9
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1165.9
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1150.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1129.0
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1128.4
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1108.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1108.0
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
1086.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1083.4
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1051.5
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1025.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1024.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
1022.8
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
1014.3
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1010.3
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
983.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
976.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
955.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
953.8
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
917.6
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
917.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
910.6
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
903.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
896.9
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
885.8
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
884.7
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
881.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
872.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
864.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
857.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
851.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
831.7
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
818.3
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
809.2
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
806.5
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
791.7
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
776.9
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
769.3
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
764.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
752.2
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
749.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
723.0
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
685.4
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
654.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
649.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
625.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
622.3
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
618.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
604.6
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
597.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
592.6
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
586.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
564.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
554.6
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
547.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
544.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
531.6
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
531.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
529.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
517.3
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
516.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
509.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
458.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
439.3
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
425.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
423.6
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
407.0
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
406.9
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
401.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
365.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
358.2
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
357.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
339.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
334.5
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
332.9
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
326.4
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
304.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
303.4
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
298.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
296.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
290.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
282.2
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
276.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
274.3
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
266.9
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
256.0
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
254.2
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
249.2
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
238.7
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
238.4
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
219.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
215.7
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
202.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
188.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
179.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
166.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
157.3
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
155.1
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
151.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
148.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
131.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
124.9
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
124.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
123.5
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
123.0
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
122.9
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
118.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
116.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
112.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
111.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
102.0
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
101.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
96.8
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
74.3
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
73.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
70.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
67.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
66.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
66.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
63.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
58.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
56.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
52.6
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
51.9
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
46.8
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
45.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
42.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
28.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
26.4
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
21.5
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
17.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
15.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
10.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
10.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
5.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
3.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
3.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2.5
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
2.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
1.1
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ALDOB is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 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 pTPM
2926.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45237
58 years, male, NA, stage:2, alive, 900 days
19760.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
18599.8
DO45125
58 years, male, NA, stage:3, alive, 1680 days
15364.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
12302.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
11934.2
DO23532
71 years, female, NA, stage:1, alive, 960 days
11535.4
DO45096
69 years, male, NA, stage:2, dead, 1290 days
11436.0
DO48717
54 years, male, NA, stage:4, dead, 180 days
10924.3
DO50798
77 years, male, NA, stage:3, dead, 30 days
10770.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
10297.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
10093.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
10089.7
DO48721
58 years, female, NA, stage:1, alive, 900 days
9402.6
DO45107
63 years, female, NA, stage:2, alive, 1710 days
9347.6
DO45253
50 years, male, NA, stage:2, alive, 870 days
9297.5
DO45197
51 years, male, NA, stage:2, alive, 1170 days
8375.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
8231.6
DO45149
70 years, female, NA, stage:2, alive, 1260 days
8210.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
7854.7
DO48674
80 years, male, NA, stage:2, alive, 1260 days
7498.8
DO45177
81 years, female, NA, stage:3, alive, 1260 days
7463.1
DO50840
49 years, male, NA, stage:2, alive, 330 days
7065.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
7055.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
6982.0
DO23517
62 years, male, NA, stage:2, alive, 1200 days
6925.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
6744.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
6632.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
6603.4
DO45255
81 years, male, NA, stage:3, alive, 720 days
6424.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
6300.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
6247.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
6190.2
DO48701
78 years, male, NA, stage:2, alive, 780 days
6084.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
5887.4
DO50809
56 years, male, NA, stage:3, dead, 720 days
5827.6
DO45181
84 years, female, NA, stage:2, alive, 1200 days
5732.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
5673.3
DO23531
78 years, female, NA, stage:3, alive, 900 days
5623.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
5566.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
5556.1
DO45195
62 years, male, NA, stage:1, alive, 390 days
5541.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
5496.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
5411.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
5402.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
5257.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
5177.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
4958.2
DO23552
80 years, female, NA, stage:1, alive, 810 days
4937.0
DO23550
69 years, male, NA, stage:1, alive, 990 days
4637.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
4608.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
4510.9
DO45215
65 years, male, NA, stage:2, alive, 1170 days
4499.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
4471.5
DO45153
77 years, female, NA, stage:2, alive, 1380 days
4452.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
4414.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
4224.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
4201.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
4190.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
4160.2
DO45105
61 years, male, NA, stage:1, alive, 1680 days
4081.1
DO48712
50 years, male, NA, stage:2, alive, 810 days
4067.7
DO45109
63 years, male, NA, stage:2, alive, 1590 days
4066.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
3992.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
3989.7
DO48733
72 years, male, NA, stage:2, alive, 600 days
3864.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
3811.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
3796.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
3793.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
3784.2
DO45213
58 years, male, NA, stage:1, alive, 1200 days
3780.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
3712.3
DO50818
65 years, male, NA, stage:2, alive, 510 days
3693.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
3637.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
3624.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3583.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
3522.4
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3452.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
3364.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
3360.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
3244.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
3240.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
3183.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3117.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
2874.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2839.1
DO45141
73 years, male, NA, stage:2, alive, 1320 days
2836.2
DO50832
73 years, male, NA, stage:3, alive, 90 days
2834.7
DO45201
49 years, male, NA, stage:1, alive, 900 days
2833.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
2800.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
2797.4
DO23548
78 years, female, NA, stage:1, alive, 840 days
2783.6
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2739.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2726.2
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2686.4
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2657.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2482.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
2441.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
2431.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
2399.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2341.6
DO45103
47 years, male, NA, stage:3, alive, 450 days
2261.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
2260.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
2074.9
DO23537
79 years, male, NA, stage:2, dead, 900 days
2072.8
DO23540
73 years, male, NA, stage:1, alive, 750 days
2030.0
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2018.4
DO45225
69 years, male, NA, stage:1, alive, 1050 days
1985.4
DO48725
66 years, male, NA, stage:1, alive, 780 days
1979.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1979.4
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1935.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
1907.8
DO50808
68 years, male, NA, stage:2, alive, 570 days
1906.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
1891.9
DO48746
76 years, male, NA, stage:3, alive, 570 days
1877.2
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1868.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1822.2
DO45229
74 years, male, NA, stage:1, alive, 990 days
1790.5
DO48732
73 years, male, NA, stage:3, alive, 630 days
1775.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1769.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
1731.3
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1726.2
DO50803
62 years, female, NA, stage:1, alive, 540 days
1690.8
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1642.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
1630.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
1586.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
1539.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
1513.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1491.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
1473.3
DO48700
78 years, female, NA, stage:2, alive, 810 days
1437.1
DO50820
77 years, female, NA, stage:3, alive, 510 days
1367.2
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1364.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1337.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1269.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1260.4
DO23535
67 years, male, NA, stage:1, alive, 960 days
1237.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
1207.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
1195.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
1186.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
1166.4
DO50850
74 years, male, NA, stage:3, alive, 720 days
1147.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
1130.9
DO50845
72 years, male, NA, stage:3, alive, 210 days
1124.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
1070.3
DO50814
83 years, male, NA, stage:3, alive, 420 days
1058.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1033.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
996.9
DO50799
66 years, female, NA, stage:2, alive, 540 days
954.8
DO50785
37 years, male, NA, stage:4, dead, 90 days
950.7
DO45221
75 years, female, NA, stage:4, dead, 390 days
933.3
DO45139
63 years, male, NA, stage:3, alive, 1320 days
896.7
DO45219
78 years, male, NA, stage:2, alive, 1080 days
886.3
DO50822
66 years, male, NA, stage:2, alive, 510 days
872.6
DO45095
66 years, male, NA, stage:2, alive, 1620 days
871.3
DO45093
71 years, male, NA, stage:2, dead, 720 days
801.6
DO45263
67 years, male, NA, stage:3, dead, 270 days
794.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
786.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
763.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
762.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
743.2
DO45275
65 years, male, NA, stage:3, dead, 10 days
727.8
DO48736
76 years, female, NA, stage:1, alive, 600 days
719.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
706.6
DO45265
73 years, male, NA, stage:3, alive, 1020 days
702.6
DO48728
74 years, female, NA, stage:2, alive, 150 days
601.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
601.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
570.5
DO23510
80 years, female, NA, stage:2, alive, 870 days
563.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
528.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
525.7
DO45183
72 years, female, NA, stage:2, dead, 570 days
521.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
495.9
DO45239
42 years, male, NA, stage:2, alive, 870 days
492.2
DO23519
65 years, male, NA, stage:3, alive, 630 days
475.9
DO23549
74 years, male, NA, stage:3, alive, 990 days
463.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
449.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
438.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
420.8
DO50839
47 years, female, NA, stage:3, alive, 330 days
377.2
DO48720
62 years, female, NA, stage:2, alive, 570 days
374.9
DO48723
73 years, male, NA, stage:1, alive, 600 days
367.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
367.2
DO45171
56 years, male, NA, stage:3, alive, 600 days
360.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
353.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
347.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
338.7
DO23547
74 years, male, NA, stage:1, alive, 1020 days
335.7
DO50806
70 years, male, NA, stage:4, alive, 540 days
316.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
299.4
DO45161
74 years, male, NA, stage:2, dead, 540 days
280.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
277.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
270.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
266.1
DO48672
81 years, male, NA, stage:2, alive, 450 days
255.7
DO23529
72 years, male, NA, stage:4, alive, 930 days
253.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
240.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
238.2
DO45092
62 years, male, NA, stage:4, dead, 1200 days
234.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
202.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
182.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
182.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
171.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
166.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
151.1
DO50829
78 years, male, NA, stage:3, alive, 570 days
148.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
137.5
DO23511
83 years, female, NA, stage:3, dead, 180 days
121.1
DO45301
56 years, male, NA, stage:2, dead, 1440 days
117.0
DO23521
63 years, male, NA, stage:3, alive, 1110 days
113.0
DO45199
86 years, female, NA, stage:2, alive, 1350 days
106.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
103.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
101.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
60.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
47.3
DO45279
67 years, male, NA, stage:3, alive, 1290 days
31.3
DO45217
69 years, female, NA, stage:3, dead, 270 days
29.9
DO45283
60 years, male, NA, stage:3, alive, 510 days
29.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
25.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
25.5
DO50815
62 years, male, NA, stage:3, alive, 150 days
25.1
DO45277
64 years, male, NA, stage:3, alive, 600 days
14.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
11.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
10.6
DO45303
62 years, female, NA, stage:3, alive, 990 days
5.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
3.8
DO45285
59 years, male, NA, stage:3, alive, 480 days
3.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3.2
DO45307
54 years, female, NA, stage:4, dead, 240 days
2.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
2.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
1.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
1.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
327
Tumor
1.1
698
Normal
1.0
882
Normal
1.0
436
Normal
0.9
858
Normal
0.9
222
Normal
0.9
777
Tumor
0.9
162
Normal
0.9
342
Normal
0.9
298
Normal
0.9
924
Normal
0.9
746
Normal
0.8
824
Normal
0.8
738
Normal
0.8
472
Normal
0.8
1026
Normal
0.8
723
Tumor
0.8
938
Normal
0.8
513
Tumor
0.8
616
Normal
0.8
484
Normal
0.7
394
Normal
0.7
912
Normal
0.7
172
Normal
0.7
756
Normal
0.7
714
Normal
0.7
466
Normal
0.7
862
Normal
0.7
428
Normal
0.7
196
Normal
0.7
1022
Normal
0.7
448
Normal
0.7
482
Normal
0.7
664
Normal
0.7
816
Normal
0.7
728
Normal
0.7
518
Normal
0.7
982
Normal
0.6
818
Normal
0.6
964
Normal
0.6
432
Normal
0.6
534
Normal
0.6
128
Normal
0.6
464
Normal
0.6
1014
Normal
0.6
456
Normal
0.6
618
Normal
0.6
648
Normal
0.6
722
Normal
0.6
864
Normal
0.6
462
Normal
0.6
546
Normal
0.5
866
Normal
0.5
488
Normal
0.5
953
Tumor
0.5
228
Normal
0.5
1046
Normal
0.5
136
Normal
0.5
426
Normal
0.5
132
Normal
0.5
412
Normal
0.5
328
Normal
0.5
874
Normal
0.5
314
Normal
0.5
186
Normal
0.5
564
Normal
0.5
778
Normal
0.5
365
Tumor
0.5
214
Normal
0.5
114
Normal
0.5
392
Normal
0.5
1032
Normal
0.5
411
Tumor
0.5
358
Normal
0.5
424
Normal
0.5
956
Normal
0.5
356
Normal
0.5
446
Normal
0.5
474
Normal
0.5
528
Normal
0.5
286
Normal
0.5
515
Tumor
0.5
968
Normal
0.5
1016
Normal
0.5
666
Normal
0.4
386
Normal
0.4
745
Tumor
0.4
926
Normal
0.4
366
Normal
0.4
465
Tumor
0.4
976
Normal
0.4
868
Normal
0.4
716
Normal
0.4
914
Normal
0.4
278
Normal
0.4
148
Normal
0.4
142
Normal
0.4
966
Normal
0.4
516
Normal
0.4
376
Normal
0.4
615
Tumor
0.4
878
Normal
0.4
258
Normal
0.4
786
Normal
0.4
944
Normal
0.4
422
Normal
0.4
227
Tumor
0.4
1042
Normal
0.4
364
Normal
0.4
414
Normal
0.3
742
Normal
0.3
332
Normal
0.3
952
Normal
0.3
111
Normal
0.3
696
Normal
0.3
958
Normal
0.3
568
Normal
0.3
218
Normal
0.3
146
Normal
0.3
955
Tumor
0.3
1044
Normal
0.3
571
Tumor
0.3
628
Normal
0.3
232
Normal
0.3
416
Normal
0.3
636
Normal
0.3
138
Normal
0.3
642
Normal
0.3
452
Normal
0.3
423
Tumor
0.3
922
Normal
0.3
362
Normal
0.3
494
Normal
0.3
978
Normal
0.2
526
Normal
0.2
572
Normal
0.2
396
Normal
0.2
785
Tumor
0.2
852
Normal
0.2
514
Normal
0.2
344
Normal
0.2
744
Normal
0.2
918
Normal
0.2
554
Normal
0.2
627
Tumor
0.2
312
Normal
0.2
468
Normal
0.2
662
Normal
0.2
686
Normal
0.2
574
Normal
0.1
188
Normal
0.1
212
Normal
0.1
461
Tumor
0.1
713
Tumor
0.1
272
Normal
0.1
284
Normal
0.1
368
Normal
0.1
388
Normal
0.1
1028
Normal
0.1
695
Tumor
0.1
393
Tumor
0.1
224
Normal
0.1
354
Normal
0.1
884
Normal
0.1
262
Normal
0.1
352
Normal
0.0
1045
Tumor
0.0
558
Normal
0.0
126
Normal
0.0
481
Tumor
0.0
1043
Tumor
0.0
984
Normal
0.0
954
Normal
0.0
478
Normal
-0.1
857
Tumor
-0.1
672
Normal
-0.1
916
Normal
-0.1
957
Tumor
-0.1
863
Tumor
-0.1
755
Tumor
-0.1
434
Normal
-0.1
873
Tumor
-0.1
492
Normal
-0.2
353
Tumor
-0.2
1027
Tumor
-0.2
357
Tumor
-0.2
192
Normal
-0.2
384
Normal
-0.2
851
Tumor
-0.2
1013
Tumor
-0.2
361
Tumor
-0.3
498
Normal
-0.3
697
Tumor
-0.3
223
Tumor
-0.3
124
Normal
-0.3
141
Tumor
-0.3
523
Tumor
-0.3
268
Normal
-0.3
617
Tumor
-0.3
538
Normal
-0.3
435
Tumor
-0.4
524
Normal
-0.4
536
Normal
-0.4
217
Tumor
-0.4
737
Tumor
-0.4
913
Tumor
-0.4
923
Tumor
-0.5
415
Tumor
-0.5
145
Tumor
-0.5
721
Tumor
-0.5
533
Tumor
-0.5
257
Tumor
-0.6
444
Normal
-0.6
161
Tumor
-0.6
137
Tumor
-0.6
191
Tumor
-0.6
981
Tumor
-0.7
493
Tumor
-0.7
341
Tumor
-0.7
487
Tumor
-0.7
963
Tumor
-0.7
355
Tumor
-0.7
187
Tumor
-0.7
147
Tumor
-0.8
195
Tumor
-0.8
445
Tumor
-0.8
477
Tumor
-0.8
635
Tumor
-0.8
363
Tumor
-0.8
823
Tumor
-0.8
427
Tumor
-0.8
433
Tumor
-0.8
937
Tumor
-0.8
497
Tumor
-0.9
431
Tumor
-0.9
277
Tumor
-0.9
467
Tumor
-0.9
647
Tumor
-1.0
563
Tumor
-1.0
663
Tumor
-1.0
267
Tumor
-1.0
447
Tumor
-1.0
313
Tumor
-1.0
567
Tumor
-1.0
814
Normal
-1.1
483
Tumor
-1.1
113
Tumor
-1.1
1031
Tumor
-1.1
921
Tumor
-1.1
861
Tumor
-1.1
421
Tumor
-1.1
917
Tumor
-1.1
867
Tumor
-1.2
375
Tumor
-1.2
727
Tumor
-1.2
213
Tumor
-1.2
185
Tumor
-1.2
911
Tumor
-1.2
455
Tumor
-1.2
525
Tumor
-1.2
527
Tumor
-1.2
491
Tumor
-1.2
127
Tumor
-1.2
1025
Tumor
-1.2
112
Tumor
-1.2
813
Tumor
-1.3
261
Tumor
-1.3
865
Tumor
-1.3
451
Tumor
-1.4
471
Tumor
-1.4
557
Tumor
-1.4
383
Tumor
-1.4
297
Tumor
-1.4
425
Tumor
-1.4
977
Tumor
-1.4
553
Tumor
-1.5
517
Tumor
-1.5
881
Tumor
-1.5
943
Tumor
-1.5
463
Tumor
-1.5
925
Tumor
-1.6
641
Tumor
-1.6
545
Tumor
-1.6
473
Tumor
-1.6
883
Tumor
-1.6
815
Tumor
-1.6
123
Tumor
-1.6
1041
Tumor
-1.6
391
Tumor
-1.6
741
Tumor
-1.7
343
Tumor
-1.7
443
Tumor
-1.7
171
Tumor
-1.7
221
Tumor
-1.7
975
Tumor
-1.7
877
Tumor
-1.8
413
Tumor
-1.8
135
Tumor
-1.8
395
Tumor
-1.8
283
Tumor
-1.8
1015
Tumor
-1.8
967
Tumor
-1.8
715
Tumor
-1.8
573
Tumor
-1.9
125
Tumor
-1.9
367
Tumor
-1.9
311
Tumor
-1.9
817
Tumor
-1.9
915
Tumor
-1.9
331
Tumor
-1.9
983
Tumor
-2.0
685
Tumor
-2.0
965
Tumor
-2.0
285
Tumor
-2.0
351
Tumor
-2.0
131
Tumor
-2.0
724
Normal
-2.1
387
Tumor
-2.1
537
Tumor
-2.1
1021
Tumor
-2.1
951
Tumor
-2.1
671
Tumor
-2.1
211
Tumor
-2.1
743
Tumor
-2.2
385
Tumor
-2.2
535
Tumor
-2.3
665
Tumor
-2.3
271
Tumor
-2.3
231
Tumor
-2.3
661
Tumor
-2.5
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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.