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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.
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 pTPM
3548.7
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
30706.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
25296.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
20406.6
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
19415.4
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
18045.4
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
15391.1
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
15364.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
14210.2
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
13938.8
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
13380.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
13183.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
13087.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
12539.6
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
11606.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
11601.8
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
11560.4
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
11505.1
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
10979.2
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
10238.2
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
10195.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
9873.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
9543.7
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
9442.4
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
9241.7
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
8864.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
8747.7
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
8628.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
8372.5
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
8279.3
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
8267.7
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
8207.7
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
8186.7
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
8145.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
8138.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
8108.9
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
7960.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
7933.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
7874.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
7817.7
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
7760.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
7740.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
7734.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
7447.3
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
7167.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
7165.1
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
7095.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
7064.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
7021.3
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
6934.9
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
6919.8
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
6730.2
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
6680.8
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
6626.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
6599.7
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
6592.5
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
6574.8
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
6474.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
6383.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
6243.4
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
6195.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
6179.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
6178.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6177.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
6152.5
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
6079.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
6034.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
6024.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
5993.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
5985.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
5933.7
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
5850.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
5847.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
5707.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
5698.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
5651.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
5633.8
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
5583.4
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
5498.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
5470.4
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
5449.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
5415.9
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
5331.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
5290.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
5253.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
5220.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
5162.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
5131.0
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
5127.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
5042.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
4956.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
4914.5
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4874.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4868.4
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
4841.8
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
4836.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
4760.0
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4757.0
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
4748.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
4735.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
4706.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
4670.2
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
4602.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
4586.6
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
4584.1
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
4567.5
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
4543.0
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4460.4
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
4447.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4349.5
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
4300.5
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
4283.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4282.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
4238.4
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4207.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
4205.3
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
4202.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
4138.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
4126.5
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4089.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
4085.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
3982.4
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
3974.2
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3869.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
3852.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3828.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
3801.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3757.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
3717.6
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
3684.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3671.5
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
3618.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3615.9
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
3600.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3570.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
3533.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
3525.3
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
3520.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
3519.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
3489.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
3471.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3455.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
3440.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
3424.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
3396.5
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
3337.7
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
3332.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
3327.7
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
3276.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
3247.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
3203.4
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
3142.8
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
3072.4
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3061.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
3030.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
3008.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2975.5
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
2926.2
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2891.1
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
2865.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2839.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
2832.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
2793.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2784.4
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2776.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
2768.7
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2766.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2751.4
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
2739.3
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2718.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2713.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2684.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
2662.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
2651.3
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2628.5
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
2616.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
2591.0
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
2533.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
2484.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
2482.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
2461.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
2456.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2451.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2451.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
2428.8
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
2358.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2357.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
2317.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
2288.3
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2259.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
2248.4
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
2245.5
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2237.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2222.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
2190.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2170.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
2167.5
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2155.3
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2102.7
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2100.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
2063.9
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
2051.4
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
2005.8
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2000.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1997.3
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1985.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1950.4
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
1894.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1867.2
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1851.0
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
1831.6
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1798.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1789.2
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1775.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1761.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
1760.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1728.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1693.3
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1691.8
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1691.8
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1690.3
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1662.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
1661.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
1656.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
1617.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1614.4
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1603.3
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1554.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
1549.3
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1533.0
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
1525.3
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1524.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
1515.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1499.1
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1469.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1459.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1449.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1440.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
1438.1
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1429.9
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1409.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
1396.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
1392.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
1369.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
1356.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1350.7
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
1349.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1302.8
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
1299.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
1298.3
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
1295.6
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1281.2
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1269.0
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1264.8
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
1237.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1230.4
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1224.7
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1221.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
1214.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1192.0
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1184.0
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1181.6
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
1154.1
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1141.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1115.5
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1112.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
1083.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1068.9
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1043.9
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1024.4
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1018.8
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
980.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
972.1
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
964.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
928.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
900.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
897.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
881.1
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
862.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
859.1
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
847.2
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
740.8
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
735.5
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
727.4
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
713.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
690.9
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
668.4
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
655.7
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
652.3
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
645.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
633.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
625.0
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
615.7
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
611.7
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
601.2
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
597.3
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
581.1
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
578.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
525.6
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
505.4
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
504.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
498.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
485.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
461.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
450.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
434.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
398.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
396.3
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
392.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
381.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
347.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
341.7
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
339.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
338.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
322.1
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
307.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
289.9
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
244.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
202.8
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
200.7
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
192.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
191.6
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
187.5
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
183.2
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
178.8
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
166.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
161.8
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
157.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
157.7
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
129.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
122.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
121.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
120.2
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
115.2
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
100.4
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
97.3
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
85.9
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
74.9
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
62.6
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
56.2
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
40.6
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
38.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
30.5
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
22.6
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
21.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
18.7
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
14.0
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
13.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
11.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
10.1
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
8.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
6.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
6.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
4.4
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3.9
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
3.7
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
2.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.6
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1.5
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
1.5
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
1.3
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 pTPM
3481.3
Number of samples
231
Samples
Sample
Description
pTPM
DO45161
74 years, male, NA, stage:2, dead, 540 days
13259.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
12361.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
12206.4
DO23551
73 years, male, NA, stage:3, dead, 150 days
11193.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
11184.6
DO45191
61 years, female, NA, stage:2, alive, 1200 days
10857.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
10835.9
DO45265
73 years, male, NA, stage:3, alive, 1020 days
10711.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
10414.1
DO48727
81 years, female, NA, stage:2, dead, 390 days
10358.2
DO45107
63 years, female, NA, stage:2, alive, 1710 days
10307.4
DO48715
58 years, female, NA, stage:2, dead, 690 days
10038.4
DO45183
72 years, female, NA, stage:2, dead, 570 days
9754.7
DO50820
77 years, female, NA, stage:3, alive, 510 days
9361.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
9308.5
DO50793
76 years, male, NA, stage:4, alive, 540 days
9175.7
DO23517
62 years, male, NA, stage:2, alive, 1200 days
9030.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
8870.9
DO45109
63 years, male, NA, stage:2, alive, 1590 days
8737.0
DO45091
56 years, male, NA, stage:2, dead, 1320 days
8730.4
DO45239
42 years, male, NA, stage:2, alive, 870 days
8727.5
DO23545
67 years, male, NA, stage:2, dead, 570 days
8717.9
DO50819
72 years, female, NA, stage:2, alive, 510 days
8556.6
DO45223
67 years, male, NA, stage:4, alive, 1020 days
8540.5
DO50789
73 years, female, NA, stage:2, alive, 570 days
8460.1
DO227801
77 years, female, NA, stage:1, alive, 660 days
8155.1
DO45221
75 years, female, NA, stage:4, dead, 390 days
8141.6
DO48674
80 years, male, NA, stage:2, alive, 1260 days
7878.9
DO45135
77 years, male, NA, stage:1, alive, 1410 days
7840.5
DO50785
37 years, male, NA, stage:4, dead, 90 days
7669.3
DO45215
65 years, male, NA, stage:2, alive, 1170 days
7621.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
7611.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
7576.7
DO45115
81 years, male, NA, stage:2, alive, 840 days
7547.7
DO48700
78 years, female, NA, stage:2, alive, 810 days
7492.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
7201.7
DO48737
52 years, male, NA, stage:1, alive, 720 days
7195.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
7155.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
7038.0
DO23544
67 years, male, NA, stage:2, alive, 960 days
6751.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
6522.2
DO45111
74 years, male, NA, stage:2, alive, 1590 days
6512.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
6440.5
DO48760
70 years, female, NA, stage:2, alive, 690 days
6329.3
DO48725
66 years, male, NA, stage:1, alive, 780 days
6246.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
6148.5
DO50803
62 years, female, NA, stage:1, alive, 540 days
6100.9
DO45233
83 years, male, NA, stage:3, alive, 900 days
6042.2
DO48759
73 years, male, NA, stage:3, alive, 720 days
6031.7
DO23550
69 years, male, NA, stage:1, alive, 990 days
5972.5
DO45127
73 years, male, NA, stage:3, dead, 420 days
5893.0
DO48728
74 years, female, NA, stage:2, alive, 150 days
5891.9
DO45269
59 years, male, NA, stage:3, alive, 750 days
5847.2
DO45101
63 years, male, NA, stage:2, alive, 1680 days
5828.5
DO45195
62 years, male, NA, stage:1, alive, 390 days
5742.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
5688.2
DO23535
67 years, male, NA, stage:1, alive, 960 days
5686.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
5528.3
DO45119
74 years, male, NA, stage:3, dead, 510 days
5491.8
DO45219
78 years, male, NA, stage:2, alive, 1080 days
5468.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
5393.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
5222.4
DO48741
64 years, male, NA, stage:3, alive, 240 days
5145.9
DO23510
80 years, female, NA, stage:2, alive, 870 days
5061.9
DO50774
68 years, female, NA, stage:2, alive, 720 days
5038.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
4989.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
4828.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
4809.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
4752.1
DO45229
74 years, male, NA, stage:1, alive, 990 days
4688.0
DO45167
67 years, male, NA, stage:2, dead, 1440 days
4652.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
4648.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
4544.2
DO48751
68 years, male, NA, stage:2, dead, 480 days
4488.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
4330.1
DO50845
72 years, male, NA, stage:3, alive, 210 days
4280.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
4267.6
DO48742
76 years, male, NA, stage:2, alive, 600 days
4203.1
DO45203
71 years, female, NA, stage:2, alive, 1170 days
4191.9
DO45257
46 years, male, NA, stage:3, alive, 810 days
4111.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
3974.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
3917.4
DO45153
77 years, female, NA, stage:2, alive, 1380 days
3859.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
3843.1
DO48681
57 years, male, NA, stage:2, alive, 900 days
3839.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
3795.1
DO45165
75 years, male, NA, stage:2, alive, 690 days
3774.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
3726.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
3704.4
DO45117
73 years, female, NA, stage:2, dead, 1110 days
3702.9
DO45125
58 years, male, NA, stage:3, alive, 1680 days
3690.6
DO45227
57 years, female, NA, stage:2, alive, 1020 days
3651.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
3625.6
DO50787
63 years, male, NA, stage:3, alive, 480 days
3549.7
DO45177
81 years, female, NA, stage:3, alive, 1260 days
3535.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
3533.3
DO45145
78 years, male, NA, stage:3, dead, 60 days
3447.8
DO48697
64 years, female, NA, stage:2, dead, 810 days
3387.5
DO48704
68 years, female, NA, stage:3, alive, 750 days
3313.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
3312.5
DO23515
71 years, male, NA, stage:2, alive, 1230 days
3260.4
DO45099
46 years, male, NA, stage:3, alive, 1590 days
3233.4
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3200.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
3078.3
DO50832
73 years, male, NA, stage:3, alive, 90 days
3071.2
DO23546
63 years, male, NA, stage:2, alive, 1050 days
3057.0
DO48721
58 years, female, NA, stage:1, alive, 900 days
3024.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3001.4
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2990.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
2946.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
2935.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
2814.4
DO45149
70 years, female, NA, stage:2, alive, 1260 days
2739.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
2733.6
DO48723
73 years, male, NA, stage:1, alive, 600 days
2652.7
DO45217
69 years, female, NA, stage:3, dead, 270 days
2647.9
DO45157
62 years, male, NA, stage:2, alive, 1980 days
2584.7
DO50808
68 years, male, NA, stage:2, alive, 570 days
2579.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
2557.0
DO23511
83 years, female, NA, stage:3, dead, 180 days
2548.8
DO50840
49 years, male, NA, stage:2, alive, 330 days
2533.5
DO50799
66 years, female, NA, stage:2, alive, 540 days
2484.8
DO50809
56 years, male, NA, stage:3, dead, 720 days
2473.2
DO50857
72 years, male, NA, stage:2, alive, 210 days
2425.9
DO50800
74 years, male, NA, stage:2, alive, 510 days
2402.3
DO50778
60 years, male, NA, stage:4, alive, 630 days
2373.1
DO50815
62 years, male, NA, stage:3, alive, 150 days
2245.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
2232.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
2146.0
DO45243
74 years, female, NA, stage:3, alive, 930 days
2124.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2083.3
DO23519
65 years, male, NA, stage:3, alive, 630 days
2047.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
1994.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
1946.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1885.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
1803.8
DO45235
68 years, female, NA, stage:1, alive, 900 days
1794.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
1776.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
1670.7
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1651.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
1651.5
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1650.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1649.7
DO50825
70 years, male, NA, stage:2, alive, 390 days
1649.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1638.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
1617.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
1603.2
DO45113
58 years, male, NA, stage:3, alive, 1560 days
1596.0
DO23537
79 years, male, NA, stage:2, dead, 900 days
1588.7
DO45103
47 years, male, NA, stage:3, alive, 450 days
1522.1
DO48736
76 years, female, NA, stage:1, alive, 600 days
1471.8
DO50817
75 years, male, NA, stage:2, alive, 390 days
1347.8
DO48695
77 years, male, NA, stage:2, alive, 720 days
1254.7
DO23548
78 years, female, NA, stage:1, alive, 840 days
1232.7
DO23540
73 years, male, NA, stage:1, alive, 750 days
1199.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1195.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
1177.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
1171.5
DO48672
81 years, male, NA, stage:2, alive, 450 days
1142.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
1135.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
1132.5
DO45281
83 years, male, NA, stage:4, alive, 750 days
1121.2
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1091.6
DO50839
47 years, female, NA, stage:3, alive, 330 days
1050.3
DO23530
53 years, male, NA, stage:4, dead, 180 days
1047.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
1014.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1009.4
DO45197
51 years, male, NA, stage:2, alive, 1170 days
916.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
878.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
874.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
868.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
786.4
DO50859
77 years, male, NA, stage:2, alive, 180 days
734.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
731.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
719.8
DO23536
56 years, male, NA, stage:2, alive, 930 days
658.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
656.1
DO48679
72 years, male, NA, stage:2, alive, 1200 days
652.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
594.2
DO45249
57 years, male, NA, stage:1, alive, 630 days
569.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
549.2
DO23509
60 years, male, NA, stage:3, dead, 780 days
471.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
470.7
DO23514
64 years, male, NA, stage:2, alive, 1290 days
462.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
450.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
445.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
443.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
432.9
DO45299
70 years, female, NA, stage:1, alive, 1440 days
422.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
385.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
364.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
356.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
350.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
335.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
281.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
272.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
265.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
244.3
DO50829
78 years, male, NA, stage:3, alive, 570 days
240.4
DO45267
73 years, male, NA, stage:3, dead, 570 days
233.2
DO50798
77 years, male, NA, stage:3, dead, 30 days
221.3
DO45287
74 years, male, NA, stage:1, alive, 390 days
197.1
DO45289
78 years, female, NA, stage:3, alive, 360 days
194.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
188.1
DO23513
76 years, male, NA, stage:3, alive, 1200 days
186.7
DO50844
75 years, male, NA, stage:4, alive, 300 days
176.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
163.6
DO50816
63 years, male, NA, stage:2, alive, 390 days
135.0
DO45305
66 years, male, NA, stage:4, alive, 300 days
131.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
129.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
123.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
119.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
102.4
DO48682
72 years, female, NA, stage:3, dead, 120 days
87.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
65.5
DO23521
63 years, male, NA, stage:3, alive, 1110 days
60.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
47.0
DO45283
60 years, male, NA, stage:3, alive, 510 days
41.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
29.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
23.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
22.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
17.1
DO45245
75 years, female, NA, stage:2, dead, 240 days
15.2
DO45279
67 years, male, NA, stage:3, alive, 1290 days
15.1
DO45303
62 years, female, NA, stage:3, alive, 990 days
10.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
9.5
DO45297
61 years, female, NA, stage:4, dead, 1260 days
6.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
4.4
DO23523
52 years, male, NA, stage:3, alive, 1080 days
3.7
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.5
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.2
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
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
