We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
FABP1 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 TPM
2986.1
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
22789.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
18613.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
17205.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
16518.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
15609.2
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
13120.6
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
12604.1
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
12513.3
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
11656.9
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
10967.4
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
10389.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
10199.0
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
9879.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
9314.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
9278.6
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
9253.5
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
9115.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
8946.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
8890.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
8651.5
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
8476.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
8124.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
7918.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
7887.1
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
7693.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
7592.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
7420.7
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
7218.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
7109.0
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
6918.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
6893.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
6862.8
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
6821.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
6788.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
6762.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
6714.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
6646.2
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
6514.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
6395.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
6385.4
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
6306.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
6264.2
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
6252.1
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
6251.2
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
6153.1
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
6092.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
6031.0
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5976.8
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
5890.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
5874.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
5808.3
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
5756.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
5705.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
5689.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
5654.4
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
5551.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
5537.0
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
5493.3
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
5470.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
5389.9
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
5365.8
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
5326.6
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5317.7
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
5276.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
5251.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
5249.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
5237.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
5086.5
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
5018.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
5014.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
4993.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
4938.5
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4934.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
4904.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
4855.5
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4810.9
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
4788.2
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
4745.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
4714.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
4675.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
4618.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
4542.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
4459.8
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
4451.1
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
4403.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
4377.4
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
4362.9
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
4310.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4302.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4294.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
4266.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4221.6
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4156.2
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4131.3
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
4129.7
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
4122.7
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4064.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
4052.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
4026.7
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4021.2
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3941.9
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
3911.6
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3895.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
3875.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3867.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
3845.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
3829.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
3759.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3738.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
3717.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
3649.8
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
3634.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
3618.8
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3579.2
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
3570.7
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
3530.7
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3501.3
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
3493.5
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
3489.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3487.2
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3394.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
3361.6
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3307.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3286.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3282.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3277.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3156.2
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
3134.2
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3124.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
3118.0
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3116.5
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3100.4
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3061.1
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
2997.0
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2985.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
2979.5
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2966.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
2957.8
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
2949.0
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
2938.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2922.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
2893.7
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
2877.4
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2862.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
2861.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2860.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
2843.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2836.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
2745.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2680.4
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2669.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2629.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
2586.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
2487.7
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2469.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2463.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2457.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2441.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2437.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2435.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2424.2
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2397.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2381.9
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2377.0
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2372.3
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2367.5
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2363.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2357.8
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2350.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2331.3
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2329.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2275.6
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2272.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2254.3
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2247.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2214.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2184.8
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2123.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2123.1
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2090.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2069.1
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2028.9
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2028.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2016.9
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2003.6
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1983.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1945.0
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1944.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
1925.9
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
1922.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1914.6
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1910.9
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1909.3
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1862.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1862.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1852.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
1843.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1785.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1784.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1772.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1762.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1732.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
1701.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1683.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1653.7
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1629.3
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1625.5
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1594.4
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1563.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1559.2
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1534.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1522.9
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1521.3
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1487.7
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1478.7
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1463.6
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1463.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1449.0
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1440.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1421.6
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1417.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1411.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1407.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1406.3
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1398.1
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1363.5
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1346.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1335.2
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1334.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1331.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1294.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1292.4
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1290.1
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1283.9
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1265.3
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1257.3
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1238.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1214.3
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1210.3
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1209.3
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1163.3
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1154.7
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1141.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1136.4
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1125.8
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1111.6
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1107.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1103.2
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1091.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1090.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1088.5
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1081.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1075.5
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1068.5
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1019.1
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1015.0
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1006.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1002.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1000.4
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
999.8
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
999.6
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
998.8
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
981.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
960.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
910.6
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
909.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
878.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
869.6
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
869.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
861.8
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
847.3
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
831.0
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
821.1
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
783.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
783.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
760.5
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
746.2
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
740.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
728.2
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
725.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
645.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
644.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
636.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
603.3
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
594.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
584.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
571.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
567.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
554.8
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
548.0
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
520.1
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
515.6
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
511.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
511.3
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
487.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
475.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
466.7
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
466.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
438.5
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
433.0
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
421.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
397.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
395.5
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
385.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
375.7
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
345.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
338.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
334.8
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
326.8
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
301.9
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
291.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
286.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
285.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
270.3
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
257.2
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
250.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
199.6
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
176.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
169.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
165.4
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
162.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
161.6
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
157.6
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
150.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
146.1
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
139.3
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
137.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
134.3
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
109.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
107.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
104.7
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
102.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
95.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
85.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
83.1
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
68.0
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
60.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
52.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
47.2
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
33.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
32.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
27.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
18.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
17.8
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
16.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
12.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
11.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
9.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
8.5
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
6.6
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
6.1
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
5.4
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
3.8
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3.0
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2.1
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.3
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1.2
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1.1
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.
FABP1 is not prognostic 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 TPM
2131.6
Number of samples
231
Samples
Sample
Description
TPM
DO50806
70 years, male, NA, stage:4, alive, 540 days
8591.3
DO45161
74 years, male, NA, stage:2, dead, 540 days
8135.1
DO45199
86 years, female, NA, stage:2, alive, 1350 days
7954.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
7230.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
6897.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
6686.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
6588.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
6546.0
DO45109
63 years, male, NA, stage:2, alive, 1590 days
6453.7
DO48715
58 years, female, NA, stage:2, dead, 690 days
6431.2
DO48727
81 years, female, NA, stage:2, dead, 390 days
6410.7
DO23552
80 years, female, NA, stage:1, alive, 810 days
6301.9
DO45183
72 years, female, NA, stage:2, dead, 570 days
6148.8
DO45191
61 years, female, NA, stage:2, alive, 1200 days
6124.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
5872.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
5841.3
DO23545
67 years, male, NA, stage:2, dead, 570 days
5752.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
5696.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
5557.4
DO50789
73 years, female, NA, stage:2, alive, 570 days
5436.9
DO50793
76 years, male, NA, stage:4, alive, 540 days
5381.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
5220.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
5217.4
DO45221
75 years, female, NA, stage:4, dead, 390 days
5202.8
DO45091
56 years, male, NA, stage:2, dead, 1320 days
5108.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
5025.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
4994.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
4989.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
4870.3
DO45239
42 years, male, NA, stage:2, alive, 870 days
4817.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
4766.3
DO45181
84 years, female, NA, stage:2, alive, 1200 days
4705.9
DO23508
79 years, female, NA, stage:2, alive, 390 days
4658.1
DO48700
78 years, female, NA, stage:2, alive, 810 days
4563.2
DO48761
55 years, male, NA, stage:2, alive, 870 days
4520.1
DO48737
52 years, male, NA, stage:1, alive, 720 days
4476.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
4391.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
4237.3
DO48759
73 years, male, NA, stage:3, alive, 720 days
4195.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4155.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
4092.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
4028.6
DO23544
67 years, male, NA, stage:2, alive, 960 days
4018.9
DO45096
69 years, male, NA, stage:2, dead, 1290 days
3957.9
DO48730
73 years, female, NA, stage:2, alive, 630 days
3937.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
3834.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
3830.1
DO48741
64 years, male, NA, stage:3, alive, 240 days
3801.5
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3735.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
3719.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
3703.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
3694.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
3685.8
DO227643
79 years, male, NA, stage:2, alive, 1260 days
3533.6
DO45233
83 years, male, NA, stage:3, alive, 900 days
3434.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
3405.8
DO45094
76 years, male, NA, stage:3, alive, 1650 days
3396.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
3347.4
DO23531
78 years, female, NA, stage:3, alive, 900 days
3267.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
3194.2
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3130.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
3084.9
DO45229
74 years, male, NA, stage:1, alive, 990 days
3076.4
DO50813
56 years, male, NA, stage:2, alive, 420 days
3023.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
3011.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
2983.3
DO48751
68 years, male, NA, stage:2, dead, 480 days
2969.3
DO48728
74 years, female, NA, stage:2, alive, 150 days
2931.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
2918.4
DO45261
74 years, male, NA, stage:3, alive, 990 days
2897.0
DO45219
78 years, male, NA, stage:2, alive, 1080 days
2888.0
DO45247
31 years, female, NA, stage:2, alive, 210 days
2792.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
2781.5
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2764.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
2658.3
DO50845
72 years, male, NA, stage:3, alive, 210 days
2605.7
DO48742
76 years, male, NA, stage:2, alive, 600 days
2605.6
DO50776
75 years, male, NA, stage:1, alive, 690 days
2583.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
2567.5
DO48712
50 years, male, NA, stage:2, alive, 810 days
2470.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2386.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2355.6
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2352.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
2352.3
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2348.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
2328.4
DO45165
75 years, male, NA, stage:2, alive, 690 days
2283.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
2240.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2221.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
2208.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
2205.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
2168.8
DO45131
53 years, male, NA, stage:4, dead, 360 days
2158.4
DO48697
64 years, female, NA, stage:2, dead, 810 days
2131.4
DO45227
57 years, female, NA, stage:2, alive, 1020 days
2114.4
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2108.4
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2108.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
2062.0
DO50787
63 years, male, NA, stage:3, alive, 480 days
2004.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1995.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1993.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1988.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
1987.1
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1949.0
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1862.9
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1817.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
1798.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
1790.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
1789.8
DO48723
73 years, male, NA, stage:1, alive, 600 days
1767.4
DO23511
83 years, female, NA, stage:3, dead, 180 days
1743.0
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1720.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
1639.1
DO50807
67 years, male, NA, stage:1, alive, 540 days
1632.6
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1607.9
DO23534
60 years, male, NA, stage:2, alive, 840 days
1593.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
1506.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
1500.6
DO50857
72 years, male, NA, stage:2, alive, 210 days
1455.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
1453.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
1443.1
DO50799
66 years, female, NA, stage:2, alive, 540 days
1426.5
DO50818
65 years, male, NA, stage:2, alive, 510 days
1416.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1387.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
1379.7
DO50778
60 years, male, NA, stage:4, alive, 630 days
1378.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
1355.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
1319.3
DO45092
62 years, male, NA, stage:4, dead, 1200 days
1267.0
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1201.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
1182.7
DO23541
65 years, male, NA, stage:2, alive, 930 days
1173.1
DO45243
74 years, female, NA, stage:3, alive, 930 days
1158.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
1144.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
1134.5
DO45231
84 years, male, NA, stage:2, alive, 930 days
1113.1
DO48706
72 years, male, NA, stage:2, alive, 870 days
1109.0
DO50825
70 years, male, NA, stage:2, alive, 390 days
1096.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1078.1
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1068.2
DO45193
68 years, female, NA, stage:4, dead, 120 days
1064.2
DO50850
74 years, male, NA, stage:3, alive, 720 days
1022.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
1015.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
992.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
945.4
DO45103
47 years, male, NA, stage:3, alive, 450 days
935.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
910.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
904.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
901.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
888.7
DO23537
79 years, male, NA, stage:2, dead, 900 days
872.2
DO50839
47 years, female, NA, stage:3, alive, 330 days
816.9
DO45241
49 years, male, NA, stage:1, alive, 1080 days
815.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
786.0
DO23540
73 years, male, NA, stage:1, alive, 750 days
737.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
733.0
DO23528
45 years, female, NA, stage:2, alive, 1020 days
715.6
DO48672
81 years, male, NA, stage:2, alive, 450 days
698.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
694.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
672.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
668.3
DO23543
63 years, male, NA, stage:2, alive, 1020 days
652.1
DO50791
79 years, female, NA, stage:1, dead, 480 days
643.8
DO45163
76 years, male, NA, stage:2, alive, 960 days
623.3
DO45281
83 years, male, NA, stage:4, alive, 750 days
611.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
556.8
DO23530
53 years, male, NA, stage:4, dead, 180 days
545.6
DO48701
78 years, male, NA, stage:2, alive, 780 days
489.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
481.9
DO45197
51 years, male, NA, stage:2, alive, 1170 days
473.8
DO48679
72 years, male, NA, stage:2, alive, 1200 days
470.8
DO23526
66 years, male, NA, stage:3, alive, 1050 days
461.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
441.0
DO50859
77 years, male, NA, stage:2, alive, 180 days
437.8
DO50802
49 years, male, NA, stage:2, alive, 930 days
429.6
DO50822
66 years, male, NA, stage:2, alive, 510 days
416.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
395.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
342.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
335.7
DO23539
77 years, male, NA, stage:1, alive, 1110 days
305.3
DO45249
57 years, male, NA, stage:1, alive, 630 days
278.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
275.1
DO23514
64 years, male, NA, stage:2, alive, 1290 days
256.7
DO45299
70 years, female, NA, stage:1, alive, 1440 days
244.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
240.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
237.0
DO23549
74 years, male, NA, stage:3, alive, 990 days
228.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
222.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
214.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
213.5
DO45171
56 years, male, NA, stage:3, alive, 600 days
204.8
DO48746
76 years, male, NA, stage:3, alive, 570 days
187.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
182.7
DO45185
89 years, male, NA, stage:2, alive, 600 days
173.9
DO50811
62 years, male, NA, stage:1, alive, 450 days
171.3
DO45301
56 years, male, NA, stage:2, dead, 1440 days
139.3
DO45259
65 years, male, NA, stage:3, alive, 330 days
135.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
132.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
128.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
125.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
122.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
114.3
DO45133
64 years, male, NA, stage:3, dead, 660 days
106.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
102.5
DO50844
75 years, male, NA, stage:4, alive, 300 days
98.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
95.6
DO23513
76 years, male, NA, stage:3, alive, 1200 days
94.1
DO50816
63 years, male, NA, stage:2, alive, 390 days
84.1
DO45205
67 years, female, NA, stage:2, dead, 90 days
78.3
DO23516
69 years, male, NA, stage:3, dead, 20 days
77.8
DO48747
62 years, male, NA, stage:3, alive, 540 days
75.5
DO45305
66 years, male, NA, stage:4, alive, 300 days
69.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
52.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
46.1
DO23533
61 years, male, NA, stage:2, alive, 900 days
38.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
30.3
DO45155
69 years, male, NA, stage:2, alive, 2160 days
22.6
DO45283
60 years, male, NA, stage:3, alive, 510 days
20.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
15.9
DO45209
70 years, male, NA, stage:4, alive, 1350 days
12.8
DO45277
64 years, male, NA, stage:3, alive, 600 days
11.5
DO48719
80 years, male, NA, stage:2, alive, 690 days
10.0
DO45245
75 years, female, NA, stage:2, dead, 240 days
7.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
6.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
6.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
5.6
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
2.3
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2.1
DO45307
54 years, female, NA, stage:4, dead, 240 days
0.9
DO45211
76 years, male, NA, stage:3, alive, 240 days
0.8
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
617
Tumor
1.1
742
Normal
1.0
223
Tumor
1.0
494
Normal
0.9
938
Normal
0.9
738
Normal
0.8
864
Normal
0.8
546
Normal
0.8
462
Normal
0.8
356
Normal
0.8
926
Normal
0.8
745
Tumor
0.8
924
Normal
0.8
716
Normal
0.8
698
Normal
0.7
966
Normal
0.7
852
Normal
0.7
958
Normal
0.7
1044
Normal
0.7
363
Tumor
0.7
228
Normal
0.7
912
Normal
0.7
862
Normal
0.7
186
Normal
0.7
452
Normal
0.7
955
Tumor
0.7
728
Normal
0.7
286
Normal
0.7
922
Normal
0.7
1042
Normal
0.7
723
Tumor
0.7
1026
Normal
0.7
518
Normal
0.7
1016
Normal
0.6
746
Normal
0.6
982
Normal
0.6
474
Normal
0.6
1043
Tumor
0.6
918
Normal
0.6
944
Normal
0.6
956
Normal
0.6
416
Normal
0.6
424
Normal
0.6
558
Normal
0.6
572
Normal
0.6
353
Tumor
0.6
984
Normal
0.6
113
Tumor
0.6
514
Normal
0.6
1022
Normal
0.6
488
Normal
0.6
448
Normal
0.6
882
Normal
0.6
414
Normal
0.5
432
Normal
0.5
1046
Normal
0.5
1032
Normal
0.5
128
Normal
0.5
436
Normal
0.5
884
Normal
0.5
968
Normal
0.5
778
Normal
0.5
722
Normal
0.5
564
Normal
0.5
554
Normal
0.5
196
Normal
0.5
756
Normal
0.5
364
Normal
0.5
878
Normal
0.5
358
Normal
0.5
916
Normal
0.5
528
Normal
0.5
214
Normal
0.5
412
Normal
0.5
484
Normal
0.5
472
Normal
0.5
332
Normal
0.5
111
Normal
0.4
516
Normal
0.4
513
Tumor
0.4
714
Normal
0.4
568
Normal
0.4
868
Normal
0.4
136
Normal
0.4
616
Normal
0.4
696
Normal
0.4
126
Normal
0.4
114
Normal
0.4
976
Normal
0.4
212
Normal
0.4
952
Normal
0.4
858
Normal
0.4
422
Normal
0.4
978
Normal
0.4
328
Normal
0.4
786
Normal
0.4
272
Normal
0.4
142
Normal
0.4
284
Normal
0.4
534
Normal
0.4
1014
Normal
0.4
662
Normal
0.4
816
Normal
0.4
312
Normal
0.4
628
Normal
0.4
874
Normal
0.4
686
Normal
0.3
146
Normal
0.3
866
Normal
0.3
468
Normal
0.3
618
Normal
0.3
428
Normal
0.3
466
Normal
0.3
1025
Tumor
0.3
426
Normal
0.3
964
Normal
0.3
526
Normal
0.3
446
Normal
0.3
362
Normal
0.3
1028
Normal
0.3
818
Normal
0.3
232
Normal
0.3
224
Normal
0.3
298
Normal
0.3
132
Normal
0.3
538
Normal
0.2
354
Normal
0.2
574
Normal
0.2
824
Normal
0.2
258
Normal
0.2
314
Normal
0.2
636
Normal
0.2
342
Normal
0.2
464
Normal
0.2
222
Normal
0.2
785
Tumor
0.2
481
Tumor
0.2
394
Normal
0.2
218
Normal
0.2
376
Normal
0.2
664
Normal
0.2
434
Normal
0.2
672
Normal
0.2
386
Normal
0.1
482
Normal
0.1
172
Normal
0.1
368
Normal
0.1
262
Normal
0.1
467
Tumor
0.1
352
Normal
0.1
124
Normal
0.1
517
Tumor
0.1
744
Normal
0.1
188
Normal
0.1
366
Normal
0.1
666
Normal
0.1
138
Normal
0.1
415
Tumor
0.1
914
Normal
0.0
388
Normal
0.0
145
Tumor
0.0
278
Normal
0.0
392
Normal
0.0
148
Normal
0.0
327
Tumor
0.0
967
Tumor
0.0
648
Normal
0.0
456
Normal
0.0
851
Tumor
0.0
954
Normal
0.0
642
Normal
0.0
524
Normal
0.0
227
Tumor
0.0
162
Normal
-0.1
391
Tumor
-0.1
1045
Tumor
-0.1
492
Normal
-0.1
727
Tumor
-0.1
873
Tumor
-0.1
498
Normal
-0.1
478
Normal
-0.1
344
Normal
-0.1
981
Tumor
-0.2
536
Normal
-0.2
393
Tumor
-0.2
187
Tumor
-0.2
477
Tumor
-0.2
285
Tumor
-0.3
195
Tumor
-0.3
721
Tumor
-0.3
384
Normal
-0.3
131
Tumor
-0.3
396
Normal
-0.3
435
Tumor
-0.3
563
Tumor
-0.3
191
Tumor
-0.3
217
Tumor
-0.3
1031
Tumor
-0.4
268
Normal
-0.4
341
Tumor
-0.4
444
Normal
-0.4
755
Tumor
-0.4
147
Tumor
-0.4
515
Tumor
-0.5
975
Tumor
-0.5
413
Tumor
-0.5
192
Normal
-0.5
137
Tumor
-0.5
724
Normal
-0.6
815
Tumor
-0.6
627
Tumor
-0.6
261
Tumor
-0.6
447
Tumor
-0.6
365
Tumor
-0.6
461
Tumor
-0.6
433
Tumor
-0.7
615
Tumor
-0.7
421
Tumor
-0.7
361
Tumor
-0.7
331
Tumor
-0.7
135
Tumor
-0.8
921
Tumor
-0.8
465
Tumor
-0.8
537
Tumor
-0.8
817
Tumor
-0.8
857
Tumor
-0.8
557
Tumor
-0.8
937
Tumor
-0.9
431
Tumor
-0.9
957
Tumor
-0.9
267
Tumor
-0.9
387
Tumor
-0.9
423
Tumor
-0.9
1015
Tumor
-1.0
814
Normal
-1.0
743
Tumor
-1.0
877
Tumor
-1.0
185
Tumor
-1.0
141
Tumor
-1.0
523
Tumor
-1.1
127
Tumor
-1.1
715
Tumor
-1.1
665
Tumor
-1.1
963
Tumor
-1.1
925
Tumor
-1.1
671
Tumor
-1.1
411
Tumor
-1.2
641
Tumor
-1.2
983
Tumor
-1.2
777
Tumor
-1.2
917
Tumor
-1.2
571
Tumor
-1.2
823
Tumor
-1.2
1021
Tumor
-1.2
355
Tumor
-1.2
535
Tumor
-1.3
445
Tumor
-1.3
865
Tumor
-1.3
471
Tumor
-1.3
357
Tumor
-1.3
883
Tumor
-1.3
881
Tumor
-1.3
491
Tumor
-1.3
112
Tumor
-1.3
951
Tumor
-1.3
455
Tumor
-1.4
695
Tumor
-1.4
737
Tumor
-1.4
965
Tumor
-1.4
493
Tumor
-1.4
943
Tumor
-1.4
451
Tumor
-1.4
1013
Tumor
-1.4
297
Tumor
-1.5
473
Tumor
-1.5
953
Tumor
-1.5
271
Tumor
-1.5
483
Tumor
-1.5
171
Tumor
-1.5
161
Tumor
-1.5
367
Tumor
-1.5
463
Tumor
-1.6
867
Tumor
-1.6
277
Tumor
-1.6
713
Tumor
-1.6
221
Tumor
-1.6
313
Tumor
-1.6
213
Tumor
-1.6
863
Tumor
-1.6
545
Tumor
-1.7
913
Tumor
-1.7
497
Tumor
-1.7
283
Tumor
-1.7
567
Tumor
-1.7
553
Tumor
-1.8
861
Tumor
-1.8
923
Tumor
-1.8
375
Tumor
-1.8
1027
Tumor
-1.8
661
Tumor
-1.8
813
Tumor
-1.9
351
Tumor
-1.9
443
Tumor
-2.0
977
Tumor
-2.0
647
Tumor
-2.0
663
Tumor
-2.0
741
Tumor
-2.0
311
Tumor
-2.1
915
Tumor
-2.1
343
Tumor
-2.2
257
Tumor
-2.2
525
Tumor
-2.2
1041
Tumor
-2.2
211
Tumor
-2.2
533
Tumor
-2.2
125
Tumor
-2.2
123
Tumor
-2.2
527
Tumor
-2.2
383
Tumor
-2.3
427
Tumor
-2.3
685
Tumor
-2.3
635
Tumor
-2.3
573
Tumor
-2.4
425
Tumor
-2.4
231
Tumor
-2.4
385
Tumor
-2.5
395
Tumor
-2.5
487
Tumor
-2.5
697
Tumor
-2.5
911
Tumor
-2.7
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
