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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.
PRCP is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
49.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
165.4
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
123.5
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
119.3
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
110.4
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
106.6
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
106.4
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
103.5
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
101.3
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
101.2
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
99.3
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
94.4
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
94.2
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
90.1
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
88.4
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
88.2
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
87.5
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
86.9
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
86.6
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
85.5
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
85.2
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
85.0
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
82.9
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
82.2
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
81.9
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
81.8
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
81.4
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
81.0
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
80.1
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
80.0
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
79.3
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
79.0
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
78.9
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
78.9
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
78.9
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
78.6
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
78.6
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
78.6
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
78.5
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
77.3
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
77.2
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
77.1
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
76.3
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
75.3
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
75.3
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
75.1
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
73.3
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
73.3
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
73.2
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
72.7
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
72.4
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
71.7
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
71.5
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
71.4
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
71.1
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
71.0
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
70.2
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
70.1
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
70.0
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
69.7
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
69.7
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
69.2
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
69.1
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
69.1
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
68.8
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
68.5
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
67.7
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
67.5
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
67.5
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
67.4
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
67.3
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
67.2
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
67.2
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
67.2
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
66.7
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
66.6
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
66.5
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
66.5
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
66.3
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
66.2
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
66.0
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
65.6
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
65.2
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
64.0
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
63.8
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
63.6
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
62.8
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
62.7
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
62.0
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
61.7
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
61.6
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
61.4
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
61.4
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
61.0
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
61.0
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
60.6
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
60.5
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
60.5
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
60.0
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
59.8
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
59.6
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
59.5
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
59.4
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
59.1
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
59.1
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
59.1
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
58.9
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
58.5
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
58.3
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
58.3
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
58.2
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
58.1
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
58.0
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
58.0
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
58.0
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
57.9
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
57.7
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
57.5
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
57.3
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
57.1
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
56.9
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
56.9
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
56.9
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
56.6
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
56.5
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
56.3
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
56.1
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
56.0
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
55.1
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
55.0
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
55.0
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
54.4
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
54.3
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
54.2
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
54.1
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
54.1
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
54.1
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
54.0
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
54.0
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
53.9
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
53.6
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
53.4
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
53.2
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
53.0
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
53.0
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
52.9
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
52.9
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
52.9
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
52.9
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
52.7
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
52.6
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
52.5
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
52.3
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
52.3
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
51.8
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
51.6
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
51.4
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
51.1
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
51.0
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
50.9
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
50.8
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
50.5
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
50.4
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
50.4
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
50.2
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
50.0
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
49.9
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
49.8
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
49.6
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
49.6
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
49.5
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
49.3
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
48.9
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
48.8
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
48.7
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
48.7
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
48.6
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
48.6
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
47.8
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
47.7
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
47.5
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
47.4
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
47.2
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
47.1
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
46.8
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
46.8
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
46.8
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
46.6
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
46.6
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
46.4
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
46.4
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
46.0
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
45.9
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
45.9
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
45.9
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
45.8
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
45.6
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
45.6
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
45.2
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
44.8
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
44.7
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
44.7
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
44.7
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
44.3
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
44.2
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
44.1
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
44.0
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
43.8
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
43.5
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
43.4
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
43.2
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
43.0
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
43.0
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
43.0
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
42.9
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
42.7
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
42.6
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
42.5
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
42.5
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
42.1
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
42.0
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
41.7
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
41.7
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
41.6
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
41.5
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
41.5
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
41.5
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
41.5
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
41.4
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
41.4
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
41.2
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
41.0
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
40.6
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
40.1
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
40.0
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
39.9
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
39.9
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
39.9
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
39.8
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
39.8
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
39.7
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
39.6
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
39.2
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
39.1
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
39.1
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
39.0
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
38.8
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
38.6
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
38.5
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
38.3
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
37.9
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
37.9
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
37.6
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
37.5
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
37.2
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
37.0
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
36.8
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
36.7
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
36.5
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
36.4
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
36.0
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
35.9
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
35.7
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
35.6
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
35.4
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
35.3
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
35.2
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
35.2
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
35.0
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
34.8
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
34.8
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
34.8
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
34.6
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
34.2
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
34.0
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
33.6
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
33.2
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
33.2
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
33.2
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
32.9
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
32.9
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
32.8
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
32.4
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
32.3
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
32.3
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
32.2
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
32.1
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
31.8
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
31.8
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
31.7
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
31.6
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
31.5
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
31.5
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
31.4
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
31.3
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
31.0
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
30.9
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
30.7
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
30.5
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
30.1
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
30.1
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
29.8
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
29.7
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
29.5
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
29.3
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
29.1
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
28.9
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
28.8
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
28.6
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
28.4
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
28.1
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
27.6
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
27.3
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
26.0
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
25.7
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
25.6
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
25.6
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
25.5
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
25.4
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
25.4
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
25.2
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
25.0
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
25.0
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
24.8
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
24.7
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
24.5
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
23.3
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
23.2
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
23.0
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
22.9
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
22.7
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
22.5
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
21.2
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
20.9
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
20.6
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
20.5
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
20.5
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
19.9
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
19.5
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
18.9
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
18.8
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
18.6
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
18.3
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
18.1
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
17.8
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
17.3
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
15.8
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
15.0
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
14.1
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
13.4
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
13.0
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
12.8
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
12.4
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
11.0
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
10.8
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
10.7
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
10.5
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
10.2
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
7.8
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
7.4
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
6.3
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
3.6
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 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.
PRCP is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
47.9
Number of samples
231
Samples
Sample
Description
TPM
DO50829
0 years, male, NA, stage:3, alive, 570 days
239.2
DO23523
0 years, male, NA, stage:3, alive, 1080 days
126.1
DO23530
0 years, male, NA, stage:4, dead, 180 days
120.5
DO45127
0 years, male, NA, stage:3, dead, 420 days
116.7
DO45135
0 years, male, NA, stage:1, alive, 1410 days
97.4
DO23513
0 years, male, NA, stage:3, alive, 1200 days
95.1
DO23535
0 years, male, NA, stage:1, alive, 960 days
92.0
DO45153
0 years, female, NA, stage:2, alive, 1380 days
91.0
DO50774
0 years, female, NA, stage:2, alive, 720 days
89.1
DO45201
0 years, male, NA, stage:1, alive, 900 days
89.1
DO45223
0 years, male, NA, stage:4, alive, 1020 days
87.6
DO45171
0 years, male, NA, stage:3, alive, 600 days
87.3
DO45155
0 years, male, NA, stage:2, alive, 2160 days
87.2
DO48681
0 years, male, NA, stage:2, alive, 900 days
86.9
DO45141
0 years, male, NA, stage:2, alive, 1320 days
83.4
DO45177
0 years, female, NA, stage:3, alive, 1260 days
83.2
DO45179
0 years, female, NA, stage:2, alive, 600 days
81.3
DO50822
0 years, male, NA, stage:2, alive, 510 days
80.7
DO23536
0 years, male, NA, stage:2, alive, 930 days
80.2
DO45231
0 years, male, NA, stage:2, alive, 930 days
79.8
DO23550
0 years, male, NA, stage:1, alive, 990 days
78.8
DO48720
0 years, female, NA, stage:2, alive, 570 days
77.9
DO23514
0 years, male, NA, stage:2, alive, 1290 days
77.8
DO48679
0 years, male, NA, stage:2, alive, 1200 days
76.2
DO45261
0 years, male, NA, stage:3, alive, 990 days
75.6
DO48760
0 years, female, NA, stage:2, alive, 690 days
75.2
DO23531
0 years, female, NA, stage:3, alive, 900 days
73.2
DO45157
0 years, male, NA, stage:2, alive, 1980 days
73.1
DO45255
0 years, male, NA, stage:3, alive, 720 days
73.1
DO23524
0 years, female, NA, stage:2, alive, 1050 days
71.3
DO45145
0 years, male, NA, stage:3, dead, 60 days
71.2
DO45229
0 years, male, NA, stage:1, alive, 990 days
70.0
DO45139
0 years, male, NA, stage:3, alive, 1320 days
69.9
DO23529
0 years, male, NA, stage:4, alive, 930 days
69.9
DO23515
0 years, male, NA, stage:2, alive, 1230 days
68.5
DO23538
0 years, male, NA, stage:2, alive, 450 days
68.4
DO23527
0 years, male, NA, stage:1, alive, 1050 days
68.4
DO45165
0 years, male, NA, stage:2, alive, 690 days
68.4
DO23542
0 years, male, NA, stage:3, alive, 960 days
67.4
DO45283
0 years, male, NA, stage:3, alive, 510 days
67.0
DO45119
0 years, male, NA, stage:3, dead, 510 days
66.2
DO48761
0 years, male, NA, stage:2, alive, 870 days
65.9
DO50800
0 years, male, NA, stage:2, alive, 510 days
65.5
DO50803
0 years, female, NA, stage:1, alive, 540 days
64.5
DO50778
0 years, male, NA, stage:4, alive, 630 days
64.2
DO23547
0 years, male, NA, stage:1, alive, 1020 days
63.7
DO50832
0 years, male, NA, stage:3, alive, 90 days
62.9
DO45225
0 years, male, NA, stage:1, alive, 1050 days
62.7
DO45307
0 years, female, NA, stage:4, dead, 240 days
62.5
DO45094
0 years, male, NA, stage:3, alive, 1650 days
61.9
DO50808
0 years, male, NA, stage:2, alive, 570 days
61.8
DO45131
0 years, male, NA, stage:4, dead, 360 days
61.7
DO45205
0 years, female, NA, stage:2, dead, 90 days
61.6
DO45247
0 years, female, NA, stage:2, alive, 210 days
61.6
DO45187
0 years, female, NA, stage:1, alive, 1260 days
61.4
DO48759
0 years, male, NA, stage:3, alive, 720 days
61.1
DO45233
0 years, male, NA, stage:3, alive, 900 days
60.8
DO45251
0 years, female, NA, stage:2, alive, 900 days
60.7
DO45129
0 years, male, NA, stage:3, alive, 1470 days
60.4
DO23551
0 years, male, NA, stage:3, dead, 150 days
60.3
DO45109
0 years, male, NA, stage:2, alive, 1590 days
59.4
DO50818
0 years, male, NA, stage:2, alive, 510 days
58.5
DO50825
0 years, male, NA, stage:2, alive, 390 days
58.3
DO45167
0 years, male, NA, stage:2, dead, 1440 days
58.0
DO23511
0 years, female, NA, stage:3, dead, 180 days
57.5
DO48701
0 years, male, NA, stage:2, alive, 780 days
57.4
DO50814
0 years, male, NA, stage:3, alive, 420 days
56.7
DO50787
0 years, male, NA, stage:3, alive, 480 days
56.3
DO45096
0 years, male, NA, stage:2, dead, 1290 days
56.1
DO23552
0 years, female, NA, stage:1, alive, 810 days
55.9
DO45249
0 years, male, NA, stage:1, alive, 630 days
55.3
DO23539
0 years, male, NA, stage:1, alive, 1110 days
55.1
DO45275
0 years, male, NA, stage:3, dead, 10 days
54.9
DO45103
0 years, male, NA, stage:3, alive, 450 days
54.9
DO48742
0 years, male, NA, stage:2, alive, 600 days
54.7
DO48728
0 years, female, NA, stage:2, alive, 150 days
54.6
DO50776
0 years, male, NA, stage:1, alive, 690 days
54.6
DO45137
0 years, male, NA, stage:1, alive, 1320 days
53.6
DO48747
0 years, male, NA, stage:3, alive, 540 days
53.4
DO45095
0 years, male, NA, stage:2, alive, 1620 days
53.2
DO45277
0 years, male, NA, stage:3, alive, 600 days
52.8
DO50805
0 years, male, NA, stage:2, alive, 690 days
52.8
DO48716
0 years, male, NA, stage:2, alive, 720 days
52.6
DO45207
0 years, male, NA, stage:1, alive, 1050 days
52.2
DO48736
0 years, female, NA, stage:1, alive, 600 days
51.7
DO48725
0 years, male, NA, stage:1, alive, 780 days
51.5
DO45097
0 years, male, NA, stage:3, alive, 1620 days
50.9
DO45191
0 years, female, NA, stage:2, alive, 1200 days
50.7
DO48757
0 years, female, NA, stage:3, alive, 480 days
50.6
DO45143
0 years, male, NA, stage:3, alive, 1290 days
50.6
DO50819
0 years, female, NA, stage:2, alive, 510 days
50.3
DO45213
0 years, male, NA, stage:1, alive, 1200 days
50.1
DO45287
0 years, male, NA, stage:1, alive, 390 days
49.9
DO45149
0 years, female, NA, stage:2, alive, 1260 days
49.9
DO45133
0 years, male, NA, stage:3, dead, 660 days
49.8
DO45239
0 years, male, NA, stage:2, alive, 870 days
49.3
DO45181
0 years, female, NA, stage:2, alive, 1200 days
49.2
DO50855
0 years, male, NA, stage:2, alive, 570 days
48.6
DO45175
0 years, male, NA, stage:2, alive, 1140 days
48.5
DO48733
0 years, male, NA, stage:2, alive, 600 days
48.2
DO45227
0 years, female, NA, stage:2, alive, 1020 days
47.9
DO48712
0 years, male, NA, stage:2, alive, 810 days
47.8
DO45092
0 years, male, NA, stage:4, dead, 1200 days
47.7
DO50850
0 years, male, NA, stage:3, alive, 720 days
47.0
DO45235
0 years, female, NA, stage:1, alive, 900 days
47.0
DO45121
0 years, male, NA, stage:3, alive, 1530 days
46.6
DO50809
0 years, male, NA, stage:3, dead, 720 days
46.4
DO48743
0 years, female, NA, stage:2, alive, 570 days
45.9
DO23510
0 years, female, NA, stage:2, alive, 870 days
45.9
DO48700
0 years, female, NA, stage:2, alive, 810 days
45.6
DO50791
0 years, female, NA, stage:1, dead, 480 days
45.6
DO45219
0 years, male, NA, stage:2, alive, 1080 days
45.4
DO45273
0 years, male, NA, stage:2, alive, 480 days
45.3
DO48717
0 years, male, NA, stage:4, dead, 180 days
45.3
DO50806
0 years, male, NA, stage:4, alive, 540 days
45.2
DO48719
0 years, male, NA, stage:2, alive, 690 days
45.1
DO23525
0 years, male, NA, stage:4, alive, 1050 days
44.6
DO45217
0 years, female, NA, stage:3, dead, 270 days
43.8
DO45161
0 years, male, NA, stage:2, dead, 540 days
43.5
DO48677
0 years, male, NA, stage:3, alive, 1140 days
43.0
DO45265
0 years, male, NA, stage:3, alive, 1020 days
42.9
DO45221
0 years, female, NA, stage:4, dead, 390 days
42.6
DO45197
0 years, male, NA, stage:2, alive, 1170 days
42.4
DO48672
0 years, male, NA, stage:2, alive, 450 days
42.1
DO45113
0 years, male, NA, stage:3, alive, 1560 days
42.1
DO50807
0 years, male, NA, stage:1, alive, 540 days
41.8
DO23512
0 years, male, NA, stage:1, alive, 1260 days
41.4
DO23541
0 years, male, NA, stage:2, alive, 930 days
40.7
DO45111
0 years, male, NA, stage:2, alive, 1590 days
40.0
DO50816
0 years, male, NA, stage:2, alive, 390 days
39.9
DO48715
0 years, female, NA, stage:2, dead, 690 days
39.9
DO23528
0 years, female, NA, stage:2, alive, 1020 days
39.7
DO45185
0 years, male, NA, stage:2, alive, 600 days
39.1
DO23521
0 years, male, NA, stage:3, alive, 1110 days
38.7
DO48721
0 years, female, NA, stage:1, alive, 900 days
38.5
DO50802
0 years, male, NA, stage:2, alive, 930 days
38.5
DO23518
0 years, male, NA, stage:2, alive, 1320 days
38.4
DO50785
0 years, male, NA, stage:4, dead, 90 days
38.3
DO45199
0 years, female, NA, stage:2, alive, 1350 days
38.3
DO48727
0 years, female, NA, stage:2, dead, 390 days
38.3
DO45209
0 years, male, NA, stage:4, alive, 1350 days
37.9
DO48697
0 years, female, NA, stage:2, dead, 810 days
37.3
DO48737
0 years, male, NA, stage:1, alive, 720 days
37.2
DO50789
0 years, female, NA, stage:2, alive, 570 days
36.9
DO23508
0 years, female, NA, stage:2, alive, 390 days
36.9
DO48704
0 years, female, NA, stage:3, alive, 750 days
36.9
DO48695
0 years, male, NA, stage:2, alive, 720 days
36.6
DO45245
0 years, female, NA, stage:2, dead, 240 days
36.6
DO23519
0 years, male, NA, stage:3, alive, 630 days
36.5
DO48723
0 years, male, NA, stage:1, alive, 600 days
36.5
DO45211
0 years, male, NA, stage:3, alive, 240 days
36.4
DO48693
0 years, male, NA, stage:2, alive, 900 days
36.2
DO23549
0 years, male, NA, stage:3, alive, 990 days
36.1
DO45193
0 years, female, NA, stage:4, dead, 120 days
36.1
DO50820
0 years, female, NA, stage:3, alive, 510 days
36.0
DO45189
0 years, female, NA, stage:2, alive, 1200 days
35.2
DO23534
0 years, male, NA, stage:2, alive, 840 days
35.2
DO227801
0 years, female, NA, stage:1, alive, 660 days
34.5
DO48682
0 years, female, NA, stage:3, dead, 120 days
33.9
DO45159
0 years, male, NA, stage:3, alive, 1470 days
33.6
DO48730
0 years, female, NA, stage:2, alive, 630 days
33.5
DO45203
0 years, female, NA, stage:2, alive, 1170 days
32.8
DO48706
0 years, male, NA, stage:2, alive, 870 days
32.7
DO45281
0 years, male, NA, stage:4, alive, 750 days
32.5
DO45173
0 years, male, NA, stage:3, alive, 1170 days
32.4
DO50839
0 years, female, NA, stage:3, alive, 330 days
32.2
DO48732
0 years, male, NA, stage:3, alive, 630 days
31.9
DO45117
0 years, female, NA, stage:2, dead, 1110 days
31.6
DO45107
0 years, female, NA, stage:2, alive, 1710 days
31.6
DO50840
0 years, male, NA, stage:2, alive, 330 days
31.6
DO45263
0 years, male, NA, stage:3, dead, 270 days
31.5
DO45279
0 years, male, NA, stage:3, alive, 1290 days
31.5
DO48741
0 years, male, NA, stage:3, alive, 240 days
31.4
DO50813
0 years, male, NA, stage:2, alive, 420 days
31.3
DO50793
0 years, male, NA, stage:4, alive, 540 days
31.3
DO45183
0 years, female, NA, stage:2, dead, 570 days
31.1
DO50804
0 years, male, NA, stage:2, alive, 720 days
30.6
DO23509
0 years, male, NA, stage:3, dead, 780 days
30.5
DO45101
0 years, male, NA, stage:2, alive, 1680 days
30.5
DO23526
0 years, male, NA, stage:3, alive, 1050 days
30.1
DO23537
0 years, male, NA, stage:2, dead, 900 days
29.9
DO45215
0 years, male, NA, stage:2, alive, 1170 days
29.0
DO45285
0 years, male, NA, stage:3, alive, 480 days
29.0
DO50799
0 years, female, NA, stage:2, alive, 540 days
29.0
DO45195
0 years, male, NA, stage:1, alive, 390 days
28.5
DO45243
0 years, female, NA, stage:3, alive, 930 days
28.4
DO45099
0 years, male, NA, stage:3, alive, 1590 days
28.1
DO23533
0 years, male, NA, stage:2, alive, 900 days
28.1
DO45253
0 years, male, NA, stage:2, alive, 870 days
28.0
DO23532
0 years, female, NA, stage:1, alive, 960 days
27.9
DO23548
0 years, female, NA, stage:1, alive, 840 days
27.8
DO45123
0 years, female, NA, stage:2, dead, 570 days
27.6
DO23543
0 years, male, NA, stage:2, alive, 1020 days
27.6
DO23540
0 years, male, NA, stage:1, alive, 750 days
27.4
DO48674
0 years, male, NA, stage:2, alive, 1260 days
27.2
DO45301
0 years, male, NA, stage:2, dead, 1440 days
26.6
DO50798
0 years, male, NA, stage:3, dead, 30 days
26.5
DO23545
0 years, male, NA, stage:2, dead, 570 days
26.0
DO50844
0 years, male, NA, stage:4, alive, 300 days
25.8
DO45269
0 years, male, NA, stage:3, alive, 750 days
25.7
DO45257
0 years, male, NA, stage:3, alive, 810 days
25.6
DO227643
0 years, male, NA, stage:2, alive, 1260 days
25.2
DO50817
0 years, male, NA, stage:2, alive, 390 days
25.0
DO23516
0 years, male, NA, stage:3, dead, 20 days
24.7
DO45237
0 years, male, NA, stage:2, alive, 900 days
24.7
DO45115
0 years, male, NA, stage:2, alive, 840 days
24.1
DO45091
0 years, male, NA, stage:2, dead, 1320 days
23.8
DO23546
0 years, male, NA, stage:2, alive, 1050 days
23.7
DO45267
0 years, male, NA, stage:3, dead, 570 days
23.4
DO45163
0 years, male, NA, stage:2, alive, 960 days
23.3
DO50783
0 years, male, NA, stage:3, alive, 480 days
23.2
DO45299
0 years, female, NA, stage:1, alive, 1440 days
22.6
DO45169
0 years, male, NA, stage:3, alive, 1350 days
22.5
DO50857
0 years, male, NA, stage:2, alive, 210 days
22.4
DO23517
0 years, male, NA, stage:2, alive, 1200 days
22.0
DO50859
0 years, male, NA, stage:2, alive, 180 days
21.2
DO45289
0 years, female, NA, stage:3, alive, 360 days
20.4
DO23544
0 years, male, NA, stage:2, alive, 960 days
20.1
DO48751
0 years, male, NA, stage:2, dead, 480 days
18.8
DO45093
0 years, male, NA, stage:2, dead, 720 days
18.5
DO50845
0 years, male, NA, stage:3, alive, 210 days
18.4
DO45125
0 years, male, NA, stage:3, alive, 1680 days
18.2
DO50815
0 years, male, NA, stage:3, alive, 150 days
17.5
DO48746
0 years, male, NA, stage:3, alive, 570 days
16.7
DO45297
0 years, female, NA, stage:4, dead, 1260 days
16.5
DO45305
0 years, male, NA, stage:4, alive, 300 days
16.2
DO45241
0 years, male, NA, stage:1, alive, 1080 days
15.6
DO45105
0 years, male, NA, stage:1, alive, 1680 days
15.0
DO45303
0 years, female, NA, stage:3, alive, 990 days
14.4
DO45259
0 years, male, NA, stage:3, alive, 330 days
11.4
DO50811
0 years, male, NA, stage:1, alive, 450 days
11.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
421
Tumor
1.3
363
Tumor
1.3
715
Tumor
1.2
425
Tumor
1.1
911
Tumor
0.9
1043
Tumor
0.9
883
Tumor
0.8
285
Tumor
0.8
451
Tumor
0.8
937
Tumor
0.7
913
Tumor
0.7
743
Tumor
0.6
227
Tumor
0.6
617
Tumor
0.6
124
Normal
0.6
137
Tumor
0.6
127
Tumor
0.6
477
Tumor
0.5
755
Tumor
0.5
517
Tumor
0.5
147
Tumor
0.5
212
Normal
0.5
257
Tumor
0.5
1042
Normal
0.5
111
Normal
0.5
524
Normal
0.5
444
Normal
0.4
125
Tumor
0.4
463
Tumor
0.4
392
Normal
0.4
917
Tumor
0.4
341
Tumor
0.4
778
Normal
0.4
742
Normal
0.4
494
Normal
0.4
1028
Normal
0.4
162
Normal
0.3
516
Normal
0.3
914
Normal
0.3
312
Normal
0.3
428
Normal
0.3
514
Normal
0.3
332
Normal
0.3
471
Tumor
0.3
558
Normal
0.3
172
Normal
0.3
278
Normal
0.3
188
Normal
0.3
478
Normal
0.3
466
Normal
0.3
268
Normal
0.3
546
Normal
0.3
376
Normal
0.3
943
Tumor
0.3
218
Normal
0.3
868
Normal
0.3
628
Normal
0.3
128
Normal
0.3
526
Normal
0.3
1032
Normal
0.3
884
Normal
0.3
464
Normal
0.3
358
Normal
0.3
114
Normal
0.3
984
Normal
0.3
434
Normal
0.3
492
Normal
0.2
1016
Normal
0.2
435
Tumor
0.2
386
Normal
0.2
362
Normal
0.2
353
Tumor
0.2
384
Normal
0.2
744
Normal
0.2
422
Normal
0.2
482
Normal
0.2
271
Tumor
0.2
424
Normal
0.2
224
Normal
0.2
955
Tumor
0.2
1022
Normal
0.2
944
Normal
0.2
916
Normal
0.2
446
Normal
0.2
814
Normal
0.2
388
Normal
0.2
481
Tumor
0.2
433
Tumor
0.2
636
Normal
0.2
786
Normal
0.2
192
Normal
0.2
286
Normal
0.2
921
Tumor
0.2
723
Tumor
0.2
956
Normal
0.2
394
Normal
0.2
862
Normal
0.2
568
Normal
0.2
432
Normal
0.2
136
Normal
0.2
648
Normal
0.2
284
Normal
0.2
528
Normal
0.2
426
Normal
0.2
864
Normal
0.2
572
Normal
0.2
126
Normal
0.2
468
Normal
0.2
462
Normal
0.2
361
Tumor
0.2
491
Tumor
0.2
474
Normal
0.2
142
Normal
0.2
952
Normal
0.2
964
Normal
0.2
368
Normal
0.2
261
Tumor
0.2
1015
Tumor
0.2
436
Normal
0.2
958
Normal
0.2
364
Normal
0.2
756
Normal
0.2
696
Normal
0.1
396
Normal
0.1
1026
Normal
0.1
356
Normal
0.1
966
Normal
0.1
488
Normal
0.1
976
Normal
0.1
354
Normal
0.1
912
Normal
0.1
874
Normal
0.1
741
Tumor
0.1
616
Normal
0.1
686
Normal
0.1
728
Normal
0.1
148
Normal
0.1
1046
Normal
0.1
857
Tumor
0.1
416
Normal
0.1
472
Normal
0.1
131
Tumor
0.1
722
Normal
0.1
564
Normal
0.1
866
Normal
0.1
366
Normal
0.1
222
Normal
0.1
878
Normal
0.1
721
Tumor
0.1
1014
Normal
0.1
672
Normal
0.1
918
Normal
0.1
484
Normal
0.1
745
Tumor
0.1
448
Normal
0.1
132
Normal
0.1
186
Normal
0.1
922
Normal
0.1
863
Tumor
0.1
982
Normal
0.1
498
Normal
0.1
738
Normal
0.1
954
Normal
0.1
662
Normal
0.1
456
Normal
0.1
574
Normal
0.1
328
Normal
0.1
978
Normal
0.1
415
Tumor
0.1
536
Normal
0.1
938
Normal
0.1
618
Normal
0.1
467
Tumor
0.1
138
Normal
0.0
824
Normal
0.0
858
Normal
0.0
664
Normal
0.0
331
Tumor
0.0
195
Tumor
0.0
447
Tumor
0.0
525
Tumor
0.0
262
Normal
0.0
852
Normal
0.0
1045
Tumor
0.0
716
Normal
0.0
963
Tumor
0.0
272
Normal
0.0
443
Tumor
0.0
518
Normal
0.0
342
Normal
0.0
816
Normal
0.0
538
Normal
0.0
461
Tumor
0.0
563
Tumor
0.0
882
Normal
0.0
223
Tumor
0.0
258
Normal
0.0
714
Normal
0.0
1031
Tumor
0.0
387
Tumor
0.0
1025
Tumor
0.0
785
Tumor
0.0
1044
Normal
0.0
327
Tumor
0.0
221
Tumor
0.0
698
Normal
0.0
877
Tumor
0.0
344
Normal
0.0
924
Normal
0.0
298
Normal
0.0
642
Normal
0.0
452
Normal
0.0
666
Normal
0.0
615
Tumor
0.0
746
Normal
-0.1
395
Tumor
-0.1
1041
Tumor
-0.1
818
Normal
-0.1
146
Normal
-0.1
926
Normal
-0.1
534
Normal
-0.1
455
Tumor
-0.1
412
Normal
-0.1
232
Normal
-0.1
214
Normal
-0.1
141
Tumor
-0.1
228
Normal
-0.1
217
Tumor
-0.1
196
Normal
-0.1
873
Tumor
-0.1
365
Tumor
-0.1
267
Tumor
-0.1
867
Tumor
-0.1
414
Normal
-0.1
185
Tumor
-0.2
554
Normal
-0.2
211
Tumor
-0.2
493
Tumor
-0.2
965
Tumor
-0.2
145
Tumor
-0.2
187
Tumor
-0.2
391
Tumor
-0.2
817
Tumor
-0.2
881
Tumor
-0.2
975
Tumor
-0.2
915
Tumor
-0.2
983
Tumor
-0.2
515
Tumor
-0.2
641
Tumor
-0.2
161
Tumor
-0.2
171
Tumor
-0.3
311
Tumor
-0.3
393
Tumor
-0.3
483
Tumor
-0.3
113
Tumor
-0.3
314
Normal
-0.3
473
Tumor
-0.3
352
Normal
-0.3
737
Tumor
-0.3
627
Tumor
-0.3
423
Tumor
-0.3
191
Tumor
-0.3
861
Tumor
-0.3
647
Tumor
-0.3
123
Tumor
-0.3
553
Tumor
-0.3
697
Tumor
-0.4
661
Tumor
-0.4
465
Tumor
-0.4
968
Normal
-0.4
727
Tumor
-0.4
487
Tumor
-0.4
671
Tumor
-0.4
351
Tumor
-0.4
385
Tumor
-0.4
283
Tumor
-0.4
777
Tumor
-0.5
713
Tumor
-0.5
635
Tumor
-0.5
925
Tumor
-0.5
297
Tumor
-0.5
277
Tumor
-0.5
815
Tumor
-0.5
571
Tumor
-0.5
665
Tumor
-0.5
513
Tumor
-0.5
527
Tumor
-0.5
343
Tumor
-0.5
523
Tumor
-0.5
545
Tumor
-0.5
383
Tumor
-0.6
537
Tumor
-0.6
112
Tumor
-0.6
367
Tumor
-0.6
823
Tumor
-0.6
957
Tumor
-0.6
813
Tumor
-0.6
213
Tumor
-0.6
695
Tumor
-0.6
663
Tumor
-0.6
981
Tumor
-0.7
375
Tumor
-0.7
231
Tumor
-0.7
977
Tumor
-0.7
1013
Tumor
-0.7
557
Tumor
-0.7
923
Tumor
-0.8
851
Tumor
-0.8
497
Tumor
-0.8
1027
Tumor
-0.8
427
Tumor
-0.8
355
Tumor
-0.8
445
Tumor
-0.8
135
Tumor
-0.8
685
Tumor
-0.9
535
Tumor
-1.0
953
Tumor
-1.0
724
Normal
-1.0
865
Tumor
-1.0
413
Tumor
-1.1
1021
Tumor
-1.1
357
Tumor
-1.1
313
Tumor
-1.1
567
Tumor
-1.1
533
Tumor
-1.1
951
Tumor
-1.2
573
Tumor
-1.3
967
Tumor
-1.3
431
Tumor
-1.4
411
Tumor
-1.5
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
