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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.
RBP4 is validated prognostic, high expression is favorable 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
6778.1
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
31740.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
27016.1
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
24814.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
23679.2
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
19068.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
18571.3
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
18312.4
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
17035.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
15982.0
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
15751.6
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
15714.2
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
14508.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
14194.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
13985.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
13688.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
13383.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
13379.1
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
13363.9
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
13217.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
13208.8
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
13191.0
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
13050.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
13024.9
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
12922.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
12706.3
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
12688.7
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
12370.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
12363.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
12360.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
12237.0
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
12228.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
12128.6
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
12118.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
12078.2
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
11837.8
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
11793.6
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
11709.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
11706.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
11650.7
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
11518.7
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
11506.9
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
11488.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
11401.1
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
11273.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
11264.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
11219.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
11198.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
11171.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
11118.9
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
11083.3
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
11055.3
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
11023.9
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
10825.5
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
10663.9
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
10586.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
10553.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
10456.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
10449.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
10372.6
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
10297.2
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
10272.9
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
10255.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
10225.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
10079.9
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
10041.3
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
10025.1
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
10003.2
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
9997.9
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
9990.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
9988.7
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
9966.6
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
9965.1
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
9785.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
9651.0
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
9618.6
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
9592.9
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
9582.0
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
9501.5
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
9483.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
9462.2
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
9447.0
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
9437.5
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
9354.2
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
9319.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
9314.2
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
9300.6
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
9271.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
9263.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
9244.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
9218.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
9193.1
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
9185.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
9150.4
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
9136.7
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
9077.4
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
9076.5
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
9018.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
9009.8
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
8989.1
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
8984.9
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
8945.0
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
8904.1
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
8809.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
8729.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
8723.9
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
8696.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
8591.9
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
8583.3
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
8569.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
8559.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
8544.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
8505.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
8501.6
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
8493.2
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
8458.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
8406.4
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
8355.1
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
8347.5
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
8338.0
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
8306.3
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
8206.4
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
8121.6
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
8100.3
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
8078.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
8056.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
8044.6
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
7989.4
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
7975.9
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
7943.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
7897.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
7842.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
7824.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
7799.9
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
7794.1
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
7788.9
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
7769.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
7664.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
7661.9
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
7639.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
7635.3
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
7629.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
7611.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
7598.8
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
7557.9
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
7536.1
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
7481.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
7445.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
7409.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
7369.1
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
7310.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
7295.7
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
7261.7
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
7245.9
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
7210.9
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
7187.9
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
7184.7
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
7142.6
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
7103.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
7090.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
7047.6
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
7016.3
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
6990.4
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
6932.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
6931.3
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
6905.0
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
6899.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
6814.9
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
6813.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
6783.0
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
6697.6
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
6696.6
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
6673.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
6672.0
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6642.8
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
6636.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
6529.5
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
6459.1
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
6410.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
6370.9
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
6301.3
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
6287.9
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
6284.8
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
6210.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
6208.4
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
6189.7
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
6169.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
6132.2
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
6130.5
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
6127.3
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
6084.9
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
6079.2
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
6068.9
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
6063.3
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
6040.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
5966.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
5897.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
5870.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
5840.3
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
5838.8
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
5830.2
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
5819.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
5795.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
5747.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
5737.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
5689.2
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
5661.9
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
5656.8
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
5644.8
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
5637.1
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
5628.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
5621.6
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
5601.1
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
5596.8
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
5586.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
5551.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
5506.9
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
5438.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
5423.8
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5330.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
5285.4
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
5281.7
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
5154.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
5053.6
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
5022.7
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
4983.5
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
4972.9
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
4972.3
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4949.2
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
4929.4
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
4926.1
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
4918.7
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
4910.7
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
4858.4
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
4809.0
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
4760.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
4667.6
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
4621.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4586.2
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
4575.3
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
4557.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
4502.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
4494.4
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
4490.8
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
4416.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
4406.4
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4363.5
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
4302.4
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
4296.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
4285.3
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
4262.4
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4260.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
4253.1
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
4134.6
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
4101.9
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
4058.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
4051.2
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
4011.2
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
3987.7
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3980.6
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
3953.8
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
3945.5
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
3942.8
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
3934.1
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
3886.2
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
3840.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3824.7
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
3815.8
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
3770.9
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
3762.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
3760.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
3723.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3722.5
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
3679.6
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3670.0
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
3646.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
3598.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
3590.8
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
3504.6
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
3421.2
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
3322.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
3316.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
3313.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
3273.9
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
3263.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
3230.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
3196.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
3188.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
3141.3
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
3125.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
3075.9
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
3045.0
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3043.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
3035.4
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
3033.7
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
3028.3
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3026.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3011.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
2995.8
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2991.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
2976.3
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
2891.0
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
2852.9
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
2845.3
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
2791.0
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
2788.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
2742.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
2738.3
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
2699.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
2681.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
2681.7
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2484.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
2450.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
2421.8
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
2402.7
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
2317.3
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
2286.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
2282.7
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2258.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
2253.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
2184.3
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
2143.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
2021.4
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
2010.5
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1998.2
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1990.5
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
1899.4
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
1870.8
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1864.6
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
1847.6
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
1801.4
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
1778.3
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1642.0
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1594.1
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
1553.8
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1527.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
1475.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1475.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
1444.5
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
1352.5
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
1307.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
1038.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
1014.8
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
864.2
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
817.8
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
808.8
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
642.5
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
581.6
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
579.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
494.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
438.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
416.3
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
327.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
327.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
319.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
222.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
72.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
38.3
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
27.9
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
12.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
10.0
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
8.7
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 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.
RBP4 is validated prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
8639.7
Number of samples
231
Samples
Sample
Description
pTPM
DO45209
70 years, male, NA, stage:4, alive, 1350 days
30774.0
DO45255
81 years, male, NA, stage:3, alive, 720 days
27301.4
DO48695
77 years, male, NA, stage:2, alive, 720 days
22867.9
DO50804
81 years, male, NA, stage:2, alive, 720 days
22441.6
DO50818
65 years, male, NA, stage:2, alive, 510 days
21002.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
20578.0
DO23512
60 years, male, NA, stage:1, alive, 1260 days
20411.4
DO45167
67 years, male, NA, stage:2, dead, 1440 days
19647.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
19299.4
DO48674
80 years, male, NA, stage:2, alive, 1260 days
18951.9
DO48677
58 years, male, NA, stage:3, alive, 1140 days
18111.7
DO50817
75 years, male, NA, stage:2, alive, 390 days
17955.5
DO45101
63 years, male, NA, stage:2, alive, 1680 days
17953.8
DO50811
62 years, male, NA, stage:1, alive, 450 days
17902.2
DO48719
80 years, male, NA, stage:2, alive, 690 days
17676.8
DO23548
78 years, female, NA, stage:1, alive, 840 days
17594.8
DO48759
73 years, male, NA, stage:3, alive, 720 days
17491.5
DO48693
71 years, male, NA, stage:2, alive, 900 days
17062.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
17005.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
16851.7
DO48727
81 years, female, NA, stage:2, dead, 390 days
16727.2
DO50813
56 years, male, NA, stage:2, alive, 420 days
16573.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
16477.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
16473.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
16390.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
16186.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
16176.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
16065.6
DO50783
62 years, male, NA, stage:3, alive, 480 days
15960.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
15801.5
DO45201
49 years, male, NA, stage:1, alive, 900 days
15706.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
15658.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
15577.0
DO48746
76 years, male, NA, stage:3, alive, 570 days
15558.1
DO23539
77 years, male, NA, stage:1, alive, 1110 days
15491.5
DO45107
63 years, female, NA, stage:2, alive, 1710 days
15381.3
DO23550
69 years, male, NA, stage:1, alive, 990 days
15200.8
DO45115
81 years, male, NA, stage:2, alive, 840 days
15185.4
DO23546
63 years, male, NA, stage:2, alive, 1050 days
15018.4
DO23533
61 years, male, NA, stage:2, alive, 900 days
14899.8
DO50825
70 years, male, NA, stage:2, alive, 390 days
14752.4
DO45123
78 years, female, NA, stage:2, dead, 570 days
14694.0
DO50802
49 years, male, NA, stage:2, alive, 930 days
14601.1
DO48682
72 years, female, NA, stage:3, dead, 120 days
14316.2
DO45195
62 years, male, NA, stage:1, alive, 390 days
14230.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
14039.6
DO45094
76 years, male, NA, stage:3, alive, 1650 days
13862.9
DO45093
71 years, male, NA, stage:2, dead, 720 days
13593.0
DO45143
69 years, male, NA, stage:3, alive, 1290 days
13553.9
DO23535
67 years, male, NA, stage:1, alive, 960 days
13360.5
DO45181
84 years, female, NA, stage:2, alive, 1200 days
13125.8
DO45215
65 years, male, NA, stage:2, alive, 1170 days
13020.1
DO23531
78 years, female, NA, stage:3, alive, 900 days
12767.2
DO50859
77 years, male, NA, stage:2, alive, 180 days
12670.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
12622.9
DO50798
77 years, male, NA, stage:3, dead, 30 days
12576.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
12569.7
DO48743
69 years, female, NA, stage:2, alive, 570 days
12457.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
12190.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
12105.2
DO23541
65 years, male, NA, stage:2, alive, 930 days
12016.6
DO48706
72 years, male, NA, stage:2, alive, 870 days
11941.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
11875.4
DO23517
62 years, male, NA, stage:2, alive, 1200 days
11752.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
11733.8
DO45095
66 years, male, NA, stage:2, alive, 1620 days
11712.5
DO23551
73 years, male, NA, stage:3, dead, 150 days
11411.7
DO45096
69 years, male, NA, stage:2, dead, 1290 days
11390.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
11318.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
11116.4
DO23543
63 years, male, NA, stage:2, alive, 1020 days
11104.7
DO45111
74 years, male, NA, stage:2, alive, 1590 days
11042.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
10882.4
DO48742
76 years, male, NA, stage:2, alive, 600 days
10872.5
DO45261
74 years, male, NA, stage:3, alive, 990 days
10820.1
DO23527
72 years, male, NA, stage:1, alive, 1050 days
10816.5
DO50787
63 years, male, NA, stage:3, alive, 480 days
10662.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
10565.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
10494.7
DO50793
76 years, male, NA, stage:4, alive, 540 days
10458.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
10427.7
DO45281
83 years, male, NA, stage:4, alive, 750 days
10383.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
10331.2
DO45121
61 years, male, NA, stage:3, alive, 1530 days
10314.3
DO50800
74 years, male, NA, stage:2, alive, 510 days
10188.9
DO50809
56 years, male, NA, stage:3, dead, 720 days
10118.7
DO45173
63 years, male, NA, stage:3, alive, 1170 days
10075.7
DO50774
68 years, female, NA, stage:2, alive, 720 days
9945.4
DO23525
71 years, male, NA, stage:4, alive, 1050 days
9769.4
DO48672
81 years, male, NA, stage:2, alive, 450 days
9630.8
DO50816
63 years, male, NA, stage:2, alive, 390 days
9627.9
DO23536
56 years, male, NA, stage:2, alive, 930 days
9505.4
DO50857
72 years, male, NA, stage:2, alive, 210 days
9490.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
9470.0
DO227801
77 years, female, NA, stage:1, alive, 660 days
9452.5
DO23518
67 years, male, NA, stage:2, alive, 1320 days
9413.3
DO48741
64 years, male, NA, stage:3, alive, 240 days
9383.5
DO50776
75 years, male, NA, stage:1, alive, 690 days
9372.2
DO45103
47 years, male, NA, stage:3, alive, 450 days
9340.0
DO45241
49 years, male, NA, stage:1, alive, 1080 days
9307.8
DO45203
71 years, female, NA, stage:2, alive, 1170 days
9281.4
DO50805
72 years, male, NA, stage:2, alive, 690 days
9253.9
DO50832
73 years, male, NA, stage:3, alive, 90 days
9214.8
DO23537
79 years, male, NA, stage:2, dead, 900 days
9130.1
DO45163
76 years, male, NA, stage:2, alive, 960 days
9126.1
DO48701
78 years, male, NA, stage:2, alive, 780 days
9110.3
DO48704
68 years, female, NA, stage:3, alive, 750 days
9005.1
DO45119
74 years, male, NA, stage:3, dead, 510 days
8873.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
8840.8
DO23545
67 years, male, NA, stage:2, dead, 570 days
8763.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
8675.6
DO48761
55 years, male, NA, stage:2, alive, 870 days
8650.0
DO50840
49 years, male, NA, stage:2, alive, 330 days
8530.3
DO45253
50 years, male, NA, stage:2, alive, 870 days
8345.8
DO48700
78 years, female, NA, stage:2, alive, 810 days
8148.8
DO50806
70 years, male, NA, stage:4, alive, 540 days
8116.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
8029.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
7991.8
DO45169
74 years, male, NA, stage:3, alive, 1350 days
7971.2
DO48679
72 years, male, NA, stage:2, alive, 1200 days
7895.7
DO45149
70 years, female, NA, stage:2, alive, 1260 days
7876.0
DO48716
71 years, male, NA, stage:2, alive, 720 days
7749.2
DO45235
68 years, female, NA, stage:1, alive, 900 days
7734.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
7715.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
7608.7
DO50850
74 years, male, NA, stage:3, alive, 720 days
7525.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
7393.4
DO45191
61 years, female, NA, stage:2, alive, 1200 days
7276.1
DO45153
77 years, female, NA, stage:2, alive, 1380 days
7196.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
7195.5
DO45217
69 years, female, NA, stage:3, dead, 270 days
7126.5
DO23528
45 years, female, NA, stage:2, alive, 1020 days
7078.1
DO48715
58 years, female, NA, stage:2, dead, 690 days
7039.2
DO45179
78 years, female, NA, stage:2, alive, 600 days
7037.0
DO48712
50 years, male, NA, stage:2, alive, 810 days
6965.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
6670.8
DO48757
68 years, female, NA, stage:3, alive, 480 days
6621.6
DO50814
83 years, male, NA, stage:3, alive, 420 days
6397.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
6378.8
DO50819
72 years, female, NA, stage:2, alive, 510 days
6300.9
DO45161
74 years, male, NA, stage:2, dead, 540 days
6236.6
DO45247
31 years, female, NA, stage:2, alive, 210 days
6220.4
DO45237
58 years, male, NA, stage:2, alive, 900 days
6084.9
DO50844
75 years, male, NA, stage:4, alive, 300 days
5948.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
5924.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
5886.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
5859.9
DO45243
74 years, female, NA, stage:3, alive, 930 days
5654.5
DO45157
62 years, male, NA, stage:2, alive, 1980 days
5498.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
5461.2
DO45257
46 years, male, NA, stage:3, alive, 810 days
5443.4
DO45265
73 years, male, NA, stage:3, alive, 1020 days
5367.5
DO48737
52 years, male, NA, stage:1, alive, 720 days
5335.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
5308.1
DO23532
71 years, female, NA, stage:1, alive, 960 days
5301.1
DO45092
62 years, male, NA, stage:4, dead, 1200 days
5246.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
5175.5
DO23509
60 years, male, NA, stage:3, dead, 780 days
5173.8
DO45225
69 years, male, NA, stage:1, alive, 1050 days
5167.9
DO23540
73 years, male, NA, stage:1, alive, 750 days
5006.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
5006.1
DO45231
84 years, male, NA, stage:2, alive, 930 days
4809.1
DO45187
32 years, female, NA, stage:1, alive, 1260 days
4785.0
DO50822
66 years, male, NA, stage:2, alive, 510 days
4783.7
DO45165
75 years, male, NA, stage:2, alive, 690 days
4727.6
DO50799
66 years, female, NA, stage:2, alive, 540 days
4693.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
4669.7
DO50845
72 years, male, NA, stage:3, alive, 210 days
4507.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
4502.8
DO50820
77 years, female, NA, stage:3, alive, 510 days
4491.9
DO23513
76 years, male, NA, stage:3, alive, 1200 days
4422.0
DO23508
79 years, female, NA, stage:2, alive, 390 days
4369.1
DO48728
74 years, female, NA, stage:2, alive, 150 days
4323.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
4266.7
DO48732
73 years, male, NA, stage:3, alive, 630 days
4248.4
DO45219
78 years, male, NA, stage:2, alive, 1080 days
4160.8
DO48720
62 years, female, NA, stage:2, alive, 570 days
4117.8
DO23549
74 years, male, NA, stage:3, alive, 990 days
4108.9
DO45273
62 years, male, NA, stage:2, alive, 480 days
4096.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
3953.5
DO45207
68 years, male, NA, stage:1, alive, 1050 days
3874.5
DO45233
83 years, male, NA, stage:3, alive, 900 days
3866.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
3835.3
DO50855
47 years, male, NA, stage:2, alive, 570 days
3733.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
3725.3
DO45183
72 years, female, NA, stage:2, dead, 570 days
3592.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
3586.6
DO23526
66 years, male, NA, stage:3, alive, 1050 days
3025.8
DO48751
68 years, male, NA, stage:2, dead, 480 days
3017.9
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2903.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
2884.3
DO50815
62 years, male, NA, stage:3, alive, 150 days
2817.7
DO45263
67 years, male, NA, stage:3, dead, 270 days
2773.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
2677.2
DO23524
71 years, female, NA, stage:2, alive, 1050 days
2649.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
2428.8
DO23515
71 years, male, NA, stage:2, alive, 1230 days
2257.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
2237.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
2216.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
1960.4
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1837.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
1821.5
DO45131
53 years, male, NA, stage:4, dead, 360 days
1749.5
DO45251
57 years, female, NA, stage:2, alive, 900 days
1686.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
1506.7
DO45249
57 years, male, NA, stage:1, alive, 630 days
1256.6
DO23547
74 years, male, NA, stage:1, alive, 1020 days
1021.5
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1003.7
DO45145
78 years, male, NA, stage:3, dead, 60 days
975.8
DO50829
78 years, male, NA, stage:3, alive, 570 days
890.6
DO45205
67 years, female, NA, stage:2, dead, 90 days
796.3
DO45189
85 years, female, NA, stage:2, alive, 1200 days
480.1
DO48747
62 years, male, NA, stage:3, alive, 540 days
445.3
DO45127
73 years, male, NA, stage:3, dead, 420 days
383.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
356.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
273.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
261.4
DO23519
65 years, male, NA, stage:3, alive, 630 days
176.3
DO45305
66 years, male, NA, stage:4, alive, 300 days
155.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
111.2
DO45283
60 years, male, NA, stage:3, alive, 510 days
90.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
81.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
42.9
DO45245
75 years, female, NA, stage:2, dead, 240 days
23.3
DO45277
64 years, male, NA, stage:3, alive, 600 days
21.4
DO45307
54 years, female, NA, stage:4, dead, 240 days
10.1
DO45297
61 years, female, NA, stage:4, dead, 1260 days
7.0
DO45303
62 years, female, NA, stage:3, alive, 990 days
6.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
6.1
DO45211
76 years, male, NA, stage:3, alive, 240 days
5.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
4.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
227
Tumor
1.7
741
Tumor
1.4
1027
Tumor
1.1
257
Tumor
1.1
445
Tumor
1.0
387
Tumor
1.0
755
Tumor
0.8
697
Tumor
0.8
477
Tumor
0.8
357
Tumor
0.7
911
Tumor
0.7
137
Tumor
0.7
481
Tumor
0.6
883
Tumor
0.6
261
Tumor
0.6
813
Tumor
0.6
112
Tumor
0.6
745
Tumor
0.6
125
Tumor
0.5
915
Tumor
0.5
567
Tumor
0.4
435
Tumor
0.4
483
Tumor
0.4
867
Tumor
0.4
1041
Tumor
0.4
395
Tumor
0.4
963
Tumor
0.4
327
Tumor
0.4
1015
Tumor
0.4
953
Tumor
0.4
955
Tumor
0.4
695
Tumor
0.3
127
Tumor
0.3
271
Tumor
0.3
1025
Tumor
0.3
851
Tumor
0.3
231
Tumor
0.3
925
Tumor
0.3
635
Tumor
0.3
465
Tumor
0.3
878
Normal
0.3
411
Tumor
0.3
353
Tumor
0.3
1028
Normal
0.3
1021
Tumor
0.3
746
Normal
0.3
785
Tumor
0.3
363
Tumor
0.2
114
Normal
0.2
393
Tumor
0.2
685
Tumor
0.2
615
Tumor
0.2
1043
Tumor
0.2
361
Tumor
0.2
983
Tumor
0.2
185
Tumor
0.2
218
Normal
0.2
923
Tumor
0.2
128
Normal
0.1
713
Tumor
0.1
412
Normal
0.1
951
Tumor
0.1
431
Tumor
0.1
484
Normal
0.1
422
Normal
0.1
952
Normal
0.1
981
Tumor
0.1
214
Normal
0.1
123
Tumor
0.0
546
Normal
0.0
111
Normal
0.0
474
Normal
0.0
172
Normal
0.0
124
Normal
0.0
132
Normal
0.0
1026
Normal
0.0
113
Tumor
0.0
471
Tumor
0.0
217
Tumor
0.0
517
Tumor
0.0
433
Tumor
0.0
341
Tumor
0.0
937
Tumor
0.0
212
Normal
0.0
557
Tumor
0.0
966
Normal
0.0
816
Normal
0.0
967
Tumor
0.0
383
Tumor
0.0
355
Tumor
0.0
728
Normal
0.0
368
Normal
0.0
914
Normal
-0.1
365
Tumor
-0.1
1022
Normal
-0.1
342
Normal
-0.1
423
Tumor
-0.1
138
Normal
-0.1
553
Tumor
-0.1
742
Normal
-0.1
554
Normal
-0.1
924
Normal
-0.1
126
Normal
-0.1
415
Tumor
-0.1
452
Normal
-0.1
142
Normal
-0.1
358
Normal
-0.1
727
Tumor
-0.1
738
Normal
-0.1
956
Normal
-0.1
874
Normal
-0.1
518
Normal
-0.1
262
Normal
-0.1
443
Tumor
-0.1
571
Tumor
-0.1
721
Tumor
-0.2
426
Normal
-0.2
416
Normal
-0.2
425
Tumor
-0.2
135
Tumor
-0.2
312
Normal
-0.2
356
Normal
-0.2
136
Normal
-0.2
1044
Normal
-0.2
873
Tumor
-0.2
482
Normal
-0.2
921
Tumor
-0.2
388
Normal
-0.2
375
Tumor
-0.2
392
Normal
-0.2
492
Normal
-0.2
868
Normal
-0.2
778
Normal
-0.2
232
Normal
-0.2
267
Tumor
-0.2
394
Normal
-0.2
722
Normal
-0.2
965
Tumor
-0.2
278
Normal
-0.2
424
Normal
-0.2
968
Normal
-0.2
918
Normal
-0.2
386
Normal
-0.3
984
Normal
-0.3
976
Normal
-0.3
533
Tumor
-0.3
938
Normal
-0.3
982
Normal
-0.3
516
Normal
-0.3
866
Normal
-0.3
698
Normal
-0.3
228
Normal
-0.3
328
Normal
-0.3
648
Normal
-0.3
332
Normal
-0.3
558
Normal
-0.3
916
Normal
-0.3
922
Normal
-0.3
814
Normal
-0.3
196
Normal
-0.3
514
Normal
-0.3
186
Normal
-0.3
472
Normal
-0.3
462
Normal
-0.3
466
Normal
-0.3
1013
Tumor
-0.3
494
Normal
-0.3
528
Normal
-0.3
162
Normal
-0.3
534
Normal
-0.3
954
Normal
-0.3
1014
Normal
-0.3
944
Normal
-0.3
258
Normal
-0.3
488
Normal
-0.3
926
Normal
-0.3
877
Tumor
-0.3
1031
Tumor
-0.3
636
Normal
-0.3
391
Tumor
-0.3
473
Tumor
-0.3
744
Normal
-0.4
171
Tumor
-0.4
364
Normal
-0.4
298
Normal
-0.4
756
Normal
-0.4
421
Tumor
-0.4
913
Tumor
-0.4
515
Tumor
-0.4
478
Normal
-0.4
861
Tumor
-0.4
714
Normal
-0.4
852
Normal
-0.4
436
Normal
-0.4
396
Normal
-0.4
526
Normal
-0.4
366
Normal
-0.4
1016
Normal
-0.4
572
Normal
-0.4
277
Tumor
-0.4
272
Normal
-0.4
715
Tumor
-0.4
1032
Normal
-0.4
786
Normal
-0.4
537
Tumor
-0.4
446
Normal
-0.4
362
Normal
-0.4
148
Normal
-0.4
344
Normal
-0.4
222
Normal
-0.4
863
Tumor
-0.4
865
Tumor
-0.5
414
Normal
-0.5
716
Normal
-0.5
964
Normal
-0.5
456
Normal
-0.5
223
Tumor
-0.5
523
Tumor
-0.5
343
Tumor
-0.5
568
Normal
-0.5
664
Normal
-0.5
686
Normal
-0.5
618
Normal
-0.5
527
Tumor
-0.5
823
Tumor
-0.5
297
Tumor
-0.5
536
Normal
-0.5
958
Normal
-0.5
468
Normal
-0.5
538
Normal
-0.5
434
Normal
-0.5
284
Normal
-0.5
141
Tumor
-0.5
161
Tumor
-0.5
464
Normal
-0.5
147
Tumor
-0.5
188
Normal
-0.5
354
Normal
-0.5
975
Tumor
-0.5
864
Normal
-0.5
957
Tumor
-0.5
195
Tumor
-0.5
145
Tumor
-0.6
224
Normal
-0.6
977
Tumor
-0.6
131
Tumor
-0.6
376
Normal
-0.6
647
Tumor
-0.6
428
Normal
-0.6
285
Tumor
-0.6
286
Normal
-0.6
268
Normal
-0.6
564
Normal
-0.6
696
Normal
-0.6
662
Normal
-0.6
642
Normal
-0.6
824
Normal
-0.6
444
Normal
-0.6
524
Normal
-0.6
978
Normal
-0.6
213
Tumor
-0.6
617
Tumor
-0.6
777
Tumor
-0.6
448
Normal
-0.6
723
Tumor
-0.6
187
Tumor
-0.6
455
Tumor
-0.6
427
Tumor
-0.6
367
Tumor
-0.6
352
Normal
-0.7
628
Normal
-0.7
146
Normal
-0.7
314
Normal
-0.7
881
Tumor
-0.7
487
Tumor
-0.7
1042
Normal
-0.7
884
Normal
-0.7
574
Normal
-0.7
192
Normal
-0.7
616
Normal
-0.7
912
Normal
-0.7
461
Tumor
-0.7
882
Normal
-0.7
498
Normal
-0.7
862
Normal
-0.8
432
Normal
-0.8
661
Tumor
-0.8
463
Tumor
-0.8
497
Tumor
-0.8
817
Tumor
-0.8
331
Tumor
-0.8
641
Tumor
-0.8
451
Tumor
-0.8
384
Normal
-0.8
743
Tumor
-0.8
351
Tumor
-0.8
666
Normal
-0.9
818
Normal
-0.9
858
Normal
-0.9
563
Tumor
-0.9
191
Tumor
-0.9
221
Tumor
-0.9
491
Tumor
-0.9
672
Normal
-0.9
815
Tumor
-0.9
493
Tumor
-1.0
1046
Normal
-1.0
627
Tumor
-1.0
857
Tumor
-1.0
724
Normal
-1.0
943
Tumor
-1.1
665
Tumor
-1.1
573
Tumor
-1.1
737
Tumor
-1.2
513
Tumor
-1.2
467
Tumor
-1.2
1045
Tumor
-1.2
663
Tumor
-1.2
545
Tumor
-1.2
447
Tumor
-1.3
413
Tumor
-1.3
917
Tumor
-1.4
525
Tumor
-1.4
313
Tumor
-1.5
671
Tumor
-1.5
535
Tumor
-1.5
385
Tumor
-1.7
311
Tumor
-1.8
283
Tumor
-2.1
211
Tumor
-2.4
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.