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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.
EPN1 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
73.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
259.6
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
190.9
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
186.1
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
184.9
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
161.9
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
161.3
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
160.4
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
158.5
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
154.0
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
152.0
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
151.6
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
139.5
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
137.7
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
137.0
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
135.4
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
134.4
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
133.7
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
128.8
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
128.4
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
126.9
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
123.8
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
123.5
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
122.1
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
122.1
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
121.9
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
120.9
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
119.4
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
119.0
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
119.0
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
116.6
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
116.2
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
114.2
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
107.2
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
107.2
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
107.1
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
106.5
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
106.0
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
105.7
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
104.8
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
103.8
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
103.3
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
103.1
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
102.9
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
102.0
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
101.8
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
101.2
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
101.1
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
100.0
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
99.7
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
98.0
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
97.9
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
97.5
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
96.8
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
96.4
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
96.4
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
96.2
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
95.6
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
95.2
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
94.9
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
94.7
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
93.7
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
93.4
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
93.1
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
93.0
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
93.0
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
92.7
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
92.3
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
92.3
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
92.0
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
91.8
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
91.4
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
91.3
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
91.3
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
90.3
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
90.3
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
89.0
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
88.9
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
88.3
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
87.9
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
87.1
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
86.7
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
86.5
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
86.4
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
86.2
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
86.1
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
86.1
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
85.9
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
85.7
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
85.7
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
85.4
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
84.6
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
84.5
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
84.1
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
84.0
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
83.9
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
83.9
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
83.9
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
83.8
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
83.2
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
83.0
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
83.0
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
82.9
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
82.9
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
82.8
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
82.4
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
81.5
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
81.4
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
81.4
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
81.3
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
81.2
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
81.2
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
81.1
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
81.1
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
80.9
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
80.9
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
80.6
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
80.4
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
80.3
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
79.9
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
79.9
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
79.8
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
79.8
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
79.8
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
79.6
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
79.1
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
79.1
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
78.2
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
77.9
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
77.8
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
77.5
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
77.4
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
77.3
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
77.1
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
77.1
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
76.9
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
76.8
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
76.7
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
76.7
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
76.4
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
76.1
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
76.0
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
75.5
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
75.2
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
75.1
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
75.0
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
75.0
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
74.8
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
74.6
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
74.4
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
74.2
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
74.2
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
73.9
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
73.7
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
73.4
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
73.4
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
73.3
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
73.2
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
73.0
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
73.0
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
73.0
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
72.9
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
72.6
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
72.6
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
72.1
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
72.1
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
72.1
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
71.9
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
71.7
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
71.5
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
71.4
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
71.3
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
71.2
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
71.1
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
70.8
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
70.8
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
70.6
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
70.5
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
70.3
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
70.1
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
69.9
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
69.9
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
69.8
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
69.7
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
69.4
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
69.2
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
69.1
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
69.0
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
68.8
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
68.8
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
68.7
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
68.2
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
68.2
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
68.2
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
68.2
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
68.1
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
67.9
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
67.8
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
67.6
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
67.4
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
67.4
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
67.3
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
66.8
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
66.6
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
66.1
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
66.1
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
66.0
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
65.3
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
65.1
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
64.9
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
64.8
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
64.8
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
64.5
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
64.3
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
64.2
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
64.0
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
64.0
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
63.9
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
63.9
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
63.4
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
63.2
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
63.2
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
62.9
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
62.9
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
62.9
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
62.8
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
62.4
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
62.3
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
62.1
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
62.0
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
61.9
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
61.8
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
61.7
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
61.3
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
61.3
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
61.1
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
60.7
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
60.7
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
60.6
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
59.9
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
59.6
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
59.4
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
59.3
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
59.3
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
59.0
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
58.8
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
58.7
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
58.7
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
58.3
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
58.2
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
58.1
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
58.0
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
57.9
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
57.2
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
57.1
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
57.0
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
57.0
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
56.9
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
56.5
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
56.4
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
56.0
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
56.0
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
55.7
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
55.6
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
55.3
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
55.2
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
55.2
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
55.0
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
54.6
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
54.6
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
54.5
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
54.4
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
54.1
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
54.0
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
53.9
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
53.7
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
53.2
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
53.2
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
53.2
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
52.9
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
52.9
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
52.8
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
52.4
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
52.4
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
52.2
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
52.0
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
51.9
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
51.8
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
51.2
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
51.1
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
50.8
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
50.8
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
50.7
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
50.4
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
49.9
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
49.9
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
49.8
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
49.6
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
49.6
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
49.4
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
49.3
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
48.9
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
48.7
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
48.5
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
48.1
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
48.0
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
47.6
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
47.6
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
47.3
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
47.0
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
47.0
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
47.0
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
46.4
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
46.2
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
45.9
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
45.7
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
45.3
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
45.0
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
44.9
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
44.8
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
44.7
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
44.6
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
44.3
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
44.2
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
43.8
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
43.8
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
43.3
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
43.2
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
43.1
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
43.0
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
43.0
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
42.7
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
41.8
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
41.5
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
41.0
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
40.2
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
40.1
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
39.1
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
39.0
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
38.9
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
38.2
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
38.2
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
38.0
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
37.7
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
37.6
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
37.6
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
37.2
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
37.1
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
36.8
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
36.1
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
35.6
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
35.5
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
35.2
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
34.7
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
32.3
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
31.8
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
31.4
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
30.4
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
30.2
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
29.8
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
28.9
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
28.8
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 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.
EPN1 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
55.6
Number of samples
231
Samples
Sample
Description
TPM
DO23540
0 years, male, NA, stage:1, alive, 750 days
179.2
DO23526
0 years, male, NA, stage:3, alive, 1050 days
145.6
DO45217
0 years, female, NA, stage:3, dead, 270 days
143.2
DO23511
0 years, female, NA, stage:3, dead, 180 days
142.2
DO45289
0 years, female, NA, stage:3, alive, 360 days
139.8
DO45131
0 years, male, NA, stage:4, dead, 360 days
126.1
DO48757
0 years, female, NA, stage:3, alive, 480 days
119.6
DO50799
0 years, female, NA, stage:2, alive, 540 days
118.8
DO23516
0 years, male, NA, stage:3, dead, 20 days
117.1
DO50829
0 years, male, NA, stage:3, alive, 570 days
115.2
DO45301
0 years, male, NA, stage:2, dead, 1440 days
112.7
DO45209
0 years, male, NA, stage:4, alive, 1350 days
109.7
DO23513
0 years, male, NA, stage:3, alive, 1200 days
98.1
DO23532
0 years, female, NA, stage:1, alive, 960 days
94.3
DO23508
0 years, female, NA, stage:2, alive, 390 days
94.0
DO50802
0 years, male, NA, stage:2, alive, 930 days
93.8
DO48719
0 years, male, NA, stage:2, alive, 690 days
93.3
DO45185
0 years, male, NA, stage:2, alive, 600 days
89.2
DO50783
0 years, male, NA, stage:3, alive, 480 days
89.1
DO45283
0 years, male, NA, stage:3, alive, 510 days
85.8
DO45145
0 years, male, NA, stage:3, dead, 60 days
85.7
DO50778
0 years, male, NA, stage:4, alive, 630 days
80.6
DO23512
0 years, male, NA, stage:1, alive, 1260 days
79.8
DO50817
0 years, male, NA, stage:2, alive, 390 days
79.4
DO50839
0 years, female, NA, stage:3, alive, 330 days
79.3
DO23535
0 years, male, NA, stage:1, alive, 960 days
78.3
DO48747
0 years, male, NA, stage:3, alive, 540 days
78.1
DO23525
0 years, male, NA, stage:4, alive, 1050 days
77.8
DO23534
0 years, male, NA, stage:2, alive, 840 days
77.7
DO45093
0 years, male, NA, stage:2, dead, 720 days
77.5
DO45297
0 years, female, NA, stage:4, dead, 1260 days
77.0
DO50825
0 years, male, NA, stage:2, alive, 390 days
76.6
DO45287
0 years, male, NA, stage:1, alive, 390 days
76.2
DO45171
0 years, male, NA, stage:3, alive, 600 days
76.2
DO45275
0 years, male, NA, stage:3, dead, 10 days
75.7
DO50811
0 years, male, NA, stage:1, alive, 450 days
74.3
DO50859
0 years, male, NA, stage:2, alive, 180 days
73.1
DO50814
0 years, male, NA, stage:3, alive, 420 days
72.7
DO50816
0 years, male, NA, stage:2, alive, 390 days
72.4
DO45307
0 years, female, NA, stage:4, dead, 240 days
71.7
DO45305
0 years, male, NA, stage:4, alive, 300 days
71.2
DO45109
0 years, male, NA, stage:2, alive, 1590 days
71.2
DO45099
0 years, male, NA, stage:3, alive, 1590 days
70.3
DO45169
0 years, male, NA, stage:3, alive, 1350 days
70.3
DO45113
0 years, male, NA, stage:3, alive, 1560 days
70.3
DO23550
0 years, male, NA, stage:1, alive, 990 days
70.1
DO45155
0 years, male, NA, stage:2, alive, 2160 days
69.1
DO45107
0 years, female, NA, stage:2, alive, 1710 days
68.9
DO23548
0 years, female, NA, stage:1, alive, 840 days
68.7
DO45125
0 years, male, NA, stage:3, alive, 1680 days
68.7
DO48717
0 years, male, NA, stage:4, dead, 180 days
68.1
DO45127
0 years, male, NA, stage:3, dead, 420 days
67.3
DO23515
0 years, male, NA, stage:2, alive, 1230 days
67.2
DO50806
0 years, male, NA, stage:4, alive, 540 days
67.2
DO45211
0 years, male, NA, stage:3, alive, 240 days
66.7
DO45303
0 years, female, NA, stage:3, alive, 990 days
66.7
DO45221
0 years, female, NA, stage:4, dead, 390 days
65.6
DO50787
0 years, male, NA, stage:3, alive, 480 days
65.5
DO23539
0 years, male, NA, stage:1, alive, 1110 days
65.3
DO45115
0 years, male, NA, stage:2, alive, 840 days
65.3
DO23529
0 years, male, NA, stage:4, alive, 930 days
65.1
DO50855
0 years, male, NA, stage:2, alive, 570 days
65.0
DO45281
0 years, male, NA, stage:4, alive, 750 days
63.3
DO45249
0 years, male, NA, stage:1, alive, 630 days
63.1
DO45097
0 years, male, NA, stage:3, alive, 1620 days
62.9
DO50819
0 years, female, NA, stage:2, alive, 510 days
62.9
DO23542
0 years, male, NA, stage:3, alive, 960 days
62.3
DO45149
0 years, female, NA, stage:2, alive, 1260 days
61.4
DO23510
0 years, female, NA, stage:2, alive, 870 days
61.4
DO48715
0 years, female, NA, stage:2, dead, 690 days
61.3
DO48697
0 years, female, NA, stage:2, dead, 810 days
60.6
DO48679
0 years, male, NA, stage:2, alive, 1200 days
59.9
DO48701
0 years, male, NA, stage:2, alive, 780 days
59.8
DO45285
0 years, male, NA, stage:3, alive, 480 days
59.8
DO45175
0 years, male, NA, stage:2, alive, 1140 days
59.1
DO50818
0 years, male, NA, stage:2, alive, 510 days
59.0
DO50815
0 years, male, NA, stage:3, alive, 150 days
58.8
DO48751
0 years, male, NA, stage:2, dead, 480 days
58.8
DO48723
0 years, male, NA, stage:1, alive, 600 days
57.9
DO23527
0 years, male, NA, stage:1, alive, 1050 days
57.8
DO23519
0 years, male, NA, stage:3, alive, 630 days
57.3
DO23545
0 years, male, NA, stage:2, dead, 570 days
57.3
DO45179
0 years, female, NA, stage:2, alive, 600 days
57.0
DO50785
0 years, male, NA, stage:4, dead, 90 days
56.9
DO45129
0 years, male, NA, stage:3, alive, 1470 days
56.6
DO45092
0 years, male, NA, stage:4, dead, 1200 days
56.5
DO45101
0 years, male, NA, stage:2, alive, 1680 days
56.4
DO45095
0 years, male, NA, stage:2, alive, 1620 days
56.3
DO48677
0 years, male, NA, stage:3, alive, 1140 days
56.2
DO48716
0 years, male, NA, stage:2, alive, 720 days
56.2
DO45173
0 years, male, NA, stage:3, alive, 1170 days
56.0
DO48725
0 years, male, NA, stage:1, alive, 780 days
55.8
DO45257
0 years, male, NA, stage:3, alive, 810 days
55.6
DO48721
0 years, female, NA, stage:1, alive, 900 days
55.4
DO45219
0 years, male, NA, stage:2, alive, 1080 days
54.9
DO45277
0 years, male, NA, stage:3, alive, 600 days
54.7
DO23518
0 years, male, NA, stage:2, alive, 1320 days
54.6
DO50840
0 years, male, NA, stage:2, alive, 330 days
54.6
DO48743
0 years, female, NA, stage:2, alive, 570 days
54.5
DO50776
0 years, male, NA, stage:1, alive, 690 days
54.4
DO48746
0 years, male, NA, stage:3, alive, 570 days
54.3
DO48737
0 years, male, NA, stage:1, alive, 720 days
54.3
DO45269
0 years, male, NA, stage:3, alive, 750 days
54.2
DO45153
0 years, female, NA, stage:2, alive, 1380 days
54.0
DO45255
0 years, male, NA, stage:3, alive, 720 days
53.5
DO48742
0 years, male, NA, stage:2, alive, 600 days
53.5
DO45205
0 years, female, NA, stage:2, dead, 90 days
53.4
DO50805
0 years, male, NA, stage:2, alive, 690 days
53.2
DO23541
0 years, male, NA, stage:2, alive, 930 days
53.2
DO45259
0 years, male, NA, stage:3, alive, 330 days
52.7
DO45265
0 years, male, NA, stage:3, alive, 1020 days
52.1
DO23521
0 years, male, NA, stage:3, alive, 1110 days
51.2
DO45167
0 years, male, NA, stage:2, dead, 1440 days
50.8
DO23549
0 years, male, NA, stage:3, alive, 990 days
50.8
DO48727
0 years, female, NA, stage:2, dead, 390 days
50.7
DO45241
0 years, male, NA, stage:1, alive, 1080 days
50.2
DO50789
0 years, female, NA, stage:2, alive, 570 days
50.0
DO45279
0 years, male, NA, stage:3, alive, 1290 days
49.9
DO23552
0 years, female, NA, stage:1, alive, 810 days
49.9
DO23523
0 years, male, NA, stage:3, alive, 1080 days
49.8
DO50791
0 years, female, NA, stage:1, dead, 480 days
49.8
DO45227
0 years, female, NA, stage:2, alive, 1020 days
49.8
DO50822
0 years, male, NA, stage:2, alive, 510 days
49.8
DO48730
0 years, female, NA, stage:2, alive, 630 days
49.5
DO45251
0 years, female, NA, stage:2, alive, 900 days
49.2
DO50793
0 years, male, NA, stage:4, alive, 540 days
49.1
DO45111
0 years, male, NA, stage:2, alive, 1590 days
49.0
DO48693
0 years, male, NA, stage:2, alive, 900 days
48.7
DO45103
0 years, male, NA, stage:3, alive, 450 days
48.7
DO50809
0 years, male, NA, stage:3, dead, 720 days
48.7
DO45189
0 years, female, NA, stage:2, alive, 1200 days
48.5
DO23537
0 years, male, NA, stage:2, dead, 900 days
47.6
DO50832
0 years, male, NA, stage:3, alive, 90 days
47.5
DO48674
0 years, male, NA, stage:2, alive, 1260 days
47.2
DO45143
0 years, male, NA, stage:3, alive, 1290 days
46.9
DO48732
0 years, male, NA, stage:3, alive, 630 days
46.9
DO45091
0 years, male, NA, stage:2, dead, 1320 days
46.7
DO23533
0 years, male, NA, stage:2, alive, 900 days
46.6
DO48681
0 years, male, NA, stage:2, alive, 900 days
46.6
DO45299
0 years, female, NA, stage:1, alive, 1440 days
46.5
DO45263
0 years, male, NA, stage:3, dead, 270 days
46.3
DO48759
0 years, male, NA, stage:3, alive, 720 days
45.6
DO45105
0 years, male, NA, stage:1, alive, 1680 days
45.6
DO48700
0 years, female, NA, stage:2, alive, 810 days
45.3
DO50813
0 years, male, NA, stage:2, alive, 420 days
45.2
DO45191
0 years, female, NA, stage:2, alive, 1200 days
44.8
DO50844
0 years, male, NA, stage:4, alive, 300 days
44.4
DO45121
0 years, male, NA, stage:3, alive, 1530 days
44.4
DO45231
0 years, male, NA, stage:2, alive, 930 days
44.1
DO45245
0 years, female, NA, stage:2, dead, 240 days
43.8
DO45215
0 years, male, NA, stage:2, alive, 1170 days
43.7
DO45094
0 years, male, NA, stage:3, alive, 1650 days
43.5
DO23528
0 years, female, NA, stage:2, alive, 1020 days
43.5
DO23536
0 years, male, NA, stage:2, alive, 930 days
43.0
DO45159
0 years, male, NA, stage:3, alive, 1470 days
43.0
DO48736
0 years, female, NA, stage:1, alive, 600 days
42.7
DO45237
0 years, male, NA, stage:2, alive, 900 days
42.5
DO45229
0 years, male, NA, stage:1, alive, 990 days
42.4
DO48706
0 years, male, NA, stage:2, alive, 870 days
42.3
DO45207
0 years, male, NA, stage:1, alive, 1050 days
42.3
DO45199
0 years, female, NA, stage:2, alive, 1350 days
42.3
DO50798
0 years, male, NA, stage:3, dead, 30 days
42.3
DO50820
0 years, female, NA, stage:3, alive, 510 days
41.9
DO45193
0 years, female, NA, stage:4, dead, 120 days
41.8
DO23514
0 years, male, NA, stage:2, alive, 1290 days
41.3
DO45239
0 years, male, NA, stage:2, alive, 870 days
40.9
DO45273
0 years, male, NA, stage:2, alive, 480 days
40.9
DO50857
0 years, male, NA, stage:2, alive, 210 days
40.7
DO23517
0 years, male, NA, stage:2, alive, 1200 days
40.5
DO23547
0 years, male, NA, stage:1, alive, 1020 days
40.3
DO48672
0 years, male, NA, stage:2, alive, 450 days
39.9
DO45157
0 years, male, NA, stage:2, alive, 1980 days
39.8
DO50804
0 years, male, NA, stage:2, alive, 720 days
39.6
DO45181
0 years, female, NA, stage:2, alive, 1200 days
39.5
DO45183
0 years, female, NA, stage:2, dead, 570 days
39.3
DO45213
0 years, male, NA, stage:1, alive, 1200 days
39.2
DO23543
0 years, male, NA, stage:2, alive, 1020 days
38.7
DO45137
0 years, male, NA, stage:1, alive, 1320 days
38.6
DO23538
0 years, male, NA, stage:2, alive, 450 days
38.3
DO227643
0 years, male, NA, stage:2, alive, 1260 days
37.9
DO45141
0 years, male, NA, stage:2, alive, 1320 days
37.5
DO50803
0 years, female, NA, stage:1, alive, 540 days
37.4
DO45197
0 years, male, NA, stage:2, alive, 1170 days
37.0
DO48704
0 years, female, NA, stage:3, alive, 750 days
37.0
DO45253
0 years, male, NA, stage:2, alive, 870 days
37.0
DO45201
0 years, male, NA, stage:1, alive, 900 days
36.2
DO45223
0 years, male, NA, stage:4, alive, 1020 days
35.6
DO45123
0 years, female, NA, stage:2, dead, 570 days
35.6
DO23546
0 years, male, NA, stage:2, alive, 1050 days
35.6
DO50800
0 years, male, NA, stage:2, alive, 510 days
35.5
DO45139
0 years, male, NA, stage:3, alive, 1320 days
35.3
DO45161
0 years, male, NA, stage:2, dead, 540 days
35.0
DO23524
0 years, female, NA, stage:2, alive, 1050 days
35.0
DO50850
0 years, male, NA, stage:3, alive, 720 days
35.0
DO45163
0 years, male, NA, stage:2, alive, 960 days
34.9
DO45133
0 years, male, NA, stage:3, dead, 660 days
34.7
DO23530
0 years, male, NA, stage:4, dead, 180 days
34.6
DO48695
0 years, male, NA, stage:2, alive, 720 days
34.4
DO48720
0 years, female, NA, stage:2, alive, 570 days
34.4
DO45233
0 years, male, NA, stage:3, alive, 900 days
34.1
DO48728
0 years, female, NA, stage:2, alive, 150 days
33.9
DO45243
0 years, female, NA, stage:3, alive, 930 days
33.3
DO45267
0 years, male, NA, stage:3, dead, 570 days
33.1
DO45235
0 years, female, NA, stage:1, alive, 900 days
33.0
DO45187
0 years, female, NA, stage:1, alive, 1260 days
32.9
DO45117
0 years, female, NA, stage:2, dead, 1110 days
32.8
DO45119
0 years, male, NA, stage:3, dead, 510 days
32.7
DO45165
0 years, male, NA, stage:2, alive, 690 days
32.5
DO48733
0 years, male, NA, stage:2, alive, 600 days
32.4
DO45177
0 years, female, NA, stage:3, alive, 1260 days
31.9
DO50807
0 years, male, NA, stage:1, alive, 540 days
31.9
DO50845
0 years, male, NA, stage:3, alive, 210 days
31.6
DO45135
0 years, male, NA, stage:1, alive, 1410 days
31.3
DO48760
0 years, female, NA, stage:2, alive, 690 days
31.2
DO50774
0 years, female, NA, stage:2, alive, 720 days
31.2
DO48741
0 years, male, NA, stage:3, alive, 240 days
30.5
DO45247
0 years, female, NA, stage:2, alive, 210 days
30.4
DO227801
0 years, female, NA, stage:1, alive, 660 days
29.7
DO50808
0 years, male, NA, stage:2, alive, 570 days
28.5
DO23531
0 years, female, NA, stage:3, alive, 900 days
28.0
DO48682
0 years, female, NA, stage:3, dead, 120 days
27.9
DO45096
0 years, male, NA, stage:2, dead, 1290 days
27.6
DO45203
0 years, female, NA, stage:2, alive, 1170 days
26.8
DO45195
0 years, male, NA, stage:1, alive, 390 days
26.8
DO45225
0 years, male, NA, stage:1, alive, 1050 days
26.8
DO23544
0 years, male, NA, stage:2, alive, 960 days
26.5
DO48761
0 years, male, NA, stage:2, alive, 870 days
26.4
DO23509
0 years, male, NA, stage:3, dead, 780 days
25.2
DO48712
0 years, male, NA, stage:2, alive, 810 days
25.1
DO23551
0 years, male, NA, stage:3, dead, 150 days
24.9
DO45261
0 years, male, NA, stage:3, alive, 990 days
22.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
863
Tumor
0.7
425
Tumor
0.6
433
Tumor
0.6
1025
Tumor
0.6
737
Tumor
0.6
112
Tumor
0.5
393
Tumor
0.5
515
Tumor
0.4
136
Normal
0.4
728
Normal
0.4
743
Tumor
0.4
138
Normal
0.4
462
Normal
0.4
481
Tumor
0.4
492
Normal
0.4
944
Normal
0.4
513
Tumor
0.4
686
Normal
0.3
356
Normal
0.3
285
Tumor
0.3
1044
Normal
0.3
444
Normal
0.3
528
Normal
0.3
868
Normal
0.3
536
Normal
0.3
954
Normal
0.3
714
Normal
0.3
518
Normal
0.3
376
Normal
0.3
434
Normal
0.3
474
Normal
0.3
756
Normal
0.3
448
Normal
0.3
628
Normal
0.3
824
Normal
0.3
231
Tumor
0.3
914
Normal
0.3
938
Normal
0.3
1028
Normal
0.3
498
Normal
0.3
514
Normal
0.3
915
Tumor
0.3
723
Tumor
0.3
132
Normal
0.3
298
Normal
0.3
494
Normal
0.3
432
Normal
0.3
978
Normal
0.3
224
Normal
0.3
864
Normal
0.3
564
Normal
0.3
414
Normal
0.3
745
Tumor
0.3
884
Normal
0.3
984
Normal
0.3
368
Normal
0.3
526
Normal
0.3
327
Tumor
0.3
738
Normal
0.3
627
Tumor
0.3
1016
Normal
0.3
951
Tumor
0.3
484
Normal
0.3
446
Normal
0.3
262
Normal
0.3
1014
Normal
0.3
126
Normal
0.3
911
Tumor
0.3
1042
Normal
0.3
778
Normal
0.2
426
Normal
0.2
1022
Normal
0.2
816
Normal
0.2
786
Normal
0.2
858
Normal
0.2
785
Tumor
0.2
436
Normal
0.2
412
Normal
0.2
742
Normal
0.2
488
Normal
0.2
558
Normal
0.2
716
Normal
0.2
574
Normal
0.2
981
Tumor
0.2
366
Normal
0.2
422
Normal
0.2
312
Normal
0.2
618
Normal
0.2
926
Normal
0.2
461
Tumor
0.2
362
Normal
0.2
912
Normal
0.2
278
Normal
0.2
958
Normal
0.2
955
Tumor
0.2
214
Normal
0.2
188
Normal
0.2
1046
Normal
0.2
516
Normal
0.2
696
Normal
0.2
666
Normal
0.2
648
Normal
0.2
1032
Normal
0.2
111
Normal
0.2
123
Tumor
0.2
616
Normal
0.2
466
Normal
0.2
472
Normal
0.2
852
Normal
0.2
1021
Tumor
0.2
468
Normal
0.2
918
Normal
0.2
286
Normal
0.2
882
Normal
0.2
124
Normal
0.2
212
Normal
0.2
482
Normal
0.2
672
Normal
0.2
967
Tumor
0.2
862
Normal
0.2
968
Normal
0.2
698
Normal
0.2
358
Normal
0.2
572
Normal
0.2
416
Normal
0.2
523
Tumor
0.2
114
Normal
0.2
878
Normal
0.2
636
Normal
0.2
218
Normal
0.2
421
Tumor
0.2
452
Normal
0.2
172
Normal
0.2
284
Normal
0.2
228
Normal
0.2
392
Normal
0.2
956
Normal
0.2
394
Normal
0.2
464
Normal
0.2
922
Normal
0.2
642
Normal
0.2
567
Tumor
0.2
314
Normal
0.2
524
Normal
0.2
365
Tumor
0.2
431
Tumor
0.2
1026
Normal
0.2
451
Tumor
0.2
162
Normal
0.2
232
Normal
0.2
195
Tumor
0.2
396
Normal
0.2
952
Normal
0.2
916
Normal
0.2
272
Normal
0.2
818
Normal
0.2
388
Normal
0.2
664
Normal
0.1
258
Normal
0.1
344
Normal
0.1
777
Tumor
0.1
517
Tumor
0.1
964
Normal
0.1
332
Normal
0.1
352
Normal
0.1
866
Normal
0.1
746
Normal
0.1
386
Normal
0.1
1027
Tumor
0.1
213
Tumor
0.1
1045
Tumor
0.1
861
Tumor
0.1
546
Normal
0.1
554
Normal
0.1
142
Normal
0.1
527
Tumor
0.1
857
Tumor
0.1
428
Normal
0.1
354
Normal
0.1
465
Tumor
0.1
982
Normal
0.1
384
Normal
0.1
186
Normal
0.1
813
Tumor
0.1
222
Normal
0.1
534
Normal
0.1
976
Normal
0.1
148
Normal
0.1
538
Normal
0.1
478
Normal
0.1
128
Normal
0.1
874
Normal
0.1
261
Tumor
0.1
113
Tumor
0.1
722
Normal
0.1
568
Normal
0.1
924
Normal
0.1
146
Normal
0.1
268
Normal
0.1
297
Tumor
0.1
456
Normal
0.1
662
Normal
0.1
966
Normal
0.1
424
Normal
0.1
131
Tumor
0.1
867
Tumor
0.1
814
Normal
0.1
353
Tumor
0.0
873
Tumor
0.0
364
Normal
0.0
1015
Tumor
0.0
423
Tumor
0.0
447
Tumor
0.0
635
Tumor
0.0
328
Normal
0.0
196
Normal
0.0
685
Tumor
0.0
937
Tumor
0.0
617
Tumor
0.0
545
Tumor
0.0
185
Tumor
0.0
363
Tumor
0.0
553
Tumor
0.0
615
Tumor
0.0
921
Tumor
0.0
283
Tumor
0.0
217
Tumor
0.0
881
Tumor
0.0
455
Tumor
0.0
913
Tumor
0.0
127
Tumor
0.0
563
Tumor
0.0
415
Tumor
0.0
823
Tumor
0.0
755
Tumor
0.0
975
Tumor
0.0
187
Tumor
0.0
943
Tumor
0.0
477
Tumor
0.0
145
Tumor
0.0
445
Tumor
0.0
571
Tumor
0.0
137
Tumor
0.0
483
Tumor
0.0
573
Tumor
0.0
744
Normal
0.0
192
Normal
0.0
1041
Tumor
0.0
697
Tumor
0.0
557
Tumor
-0.1
271
Tumor
-0.1
977
Tumor
-0.1
473
Tumor
-0.1
497
Tumor
-0.1
661
Tumor
-0.1
257
Tumor
-0.1
223
Tumor
-0.1
361
Tumor
-0.1
741
Tumor
-0.1
721
Tumor
-0.1
342
Normal
-0.1
817
Tumor
-0.1
963
Tumor
-0.1
147
Tumor
-0.1
383
Tumor
-0.1
311
Tumor
-0.1
695
Tumor
-0.1
1043
Tumor
-0.1
917
Tumor
-0.1
851
Tumor
-0.1
533
Tumor
-0.1
267
Tumor
-0.1
125
Tumor
-0.1
341
Tumor
-0.1
277
Tumor
-0.1
391
Tumor
-0.1
135
Tumor
-0.1
443
Tumor
-0.1
467
Tumor
-0.2
435
Tumor
-0.2
715
Tumor
-0.2
161
Tumor
-0.2
471
Tumor
-0.2
221
Tumor
-0.2
983
Tumor
-0.2
647
Tumor
-0.2
491
Tumor
-0.2
641
Tumor
-0.2
493
Tumor
-0.2
463
Tumor
-0.2
1031
Tumor
-0.2
724
Normal
-0.2
877
Tumor
-0.2
883
Tumor
-0.3
331
Tumor
-0.3
525
Tumor
-0.3
923
Tumor
-0.3
343
Tumor
-0.3
395
Tumor
-0.3
211
Tumor
-0.3
387
Tumor
-0.3
141
Tumor
-0.3
427
Tumor
-0.3
663
Tumor
-0.3
171
Tumor
-0.3
191
Tumor
-0.3
925
Tumor
-0.3
413
Tumor
-0.3
367
Tumor
-0.3
385
Tumor
-0.4
953
Tumor
-0.4
671
Tumor
-0.4
665
Tumor
-0.4
537
Tumor
-0.4
1013
Tumor
-0.4
713
Tumor
-0.4
815
Tumor
-0.4
865
Tumor
-0.4
411
Tumor
-0.4
535
Tumor
-0.4
227
Tumor
-0.5
375
Tumor
-0.5
357
Tumor
-0.5
965
Tumor
-0.5
355
Tumor
-0.5
957
Tumor
-0.7
313
Tumor
-0.7
487
Tumor
-0.7
727
Tumor
-0.7
351
Tumor
-0.8
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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
