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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.
PRR12 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
4.3
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
24.6
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
23.4
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
22.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
16.3
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
16.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
14.0
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
13.7
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
13.5
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
13.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
13.4
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
12.3
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
12.3
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
12.2
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
12.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
12.0
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
11.7
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
11.7
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
11.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
11.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
11.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
10.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
10.8
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
10.7
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
10.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
10.6
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
10.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
9.9
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
9.9
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
9.8
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
9.7
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
8.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
8.5
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
8.1
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
8.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
7.9
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
7.6
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
7.6
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
7.5
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
7.4
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
7.4
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
7.3
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
7.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
7.2
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
7.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
7.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
6.9
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
6.9
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
6.8
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
6.7
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
6.6
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
6.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
6.5
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
6.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
6.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
6.4
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
6.3
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
6.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
6.2
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
6.0
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
6.0
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
6.0
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
6.0
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
5.9
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
5.8
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
5.8
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
5.7
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
5.7
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
5.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
5.7
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
5.5
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
5.5
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
5.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
5.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
5.4
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
5.3
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
5.3
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
5.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
5.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
5.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
5.3
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
5.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
5.2
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
5.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
5.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
5.2
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
5.2
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
5.2
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
5.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
5.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
5.1
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
5.1
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
5.1
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
5.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
5.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
5.0
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
4.9
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
4.9
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
4.9
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
4.9
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
4.8
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
4.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
4.8
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
4.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
4.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
4.8
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
4.7
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
4.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
4.7
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
4.7
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
4.7
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
4.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
4.7
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
4.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
4.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
4.6
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
4.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
4.6
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
4.6
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
4.6
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
4.6
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
4.5
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
4.5
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
4.5
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
4.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
4.5
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
4.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
4.4
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
4.4
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
4.4
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
4.4
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
4.4
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
4.4
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
4.4
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
4.4
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
4.3
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
4.3
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
4.3
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
4.3
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
4.3
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
4.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
4.2
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
4.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
4.2
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
4.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
4.1
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
4.1
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
4.1
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
4.1
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
4.1
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4.1
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
4.1
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
4.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
4.0
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
4.0
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
4.0
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
4.0
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
3.9
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
3.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
3.9
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
3.9
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
3.9
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
3.9
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
3.9
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
3.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
3.8
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
3.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
3.8
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
3.8
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3.7
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
3.7
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
3.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
3.7
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
3.7
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3.7
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
3.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
3.6
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
3.6
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
3.6
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
3.6
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
3.6
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
3.6
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
3.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
3.6
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
3.6
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
3.5
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
3.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
3.5
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
3.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
3.5
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
3.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
3.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
3.4
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3.4
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
3.4
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
3.4
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
3.4
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
3.4
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
3.4
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
3.4
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
3.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
3.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
3.4
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
3.4
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
3.4
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
3.3
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
3.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3.3
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
3.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
3.2
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
3.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
3.2
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
3.2
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
3.2
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
3.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
3.2
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
3.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
3.1
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
3.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
3.1
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3.1
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
3.1
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
3.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
3.1
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
3.0
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
3.0
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3.0
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
3.0
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
3.0
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
2.9
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
2.9
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2.8
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
2.8
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
2.8
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2.8
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
2.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
2.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
2.7
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
2.7
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
2.7
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2.7
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
2.7
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
2.7
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
2.7
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
2.6
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
2.6
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
2.6
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2.6
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2.6
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
2.6
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2.6
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
2.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
2.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
2.6
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
2.5
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
2.5
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
2.5
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
2.5
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
2.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
2.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
2.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
2.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2.4
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
2.4
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
2.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2.3
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
2.3
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
2.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
2.3
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
2.2
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
2.2
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2.2
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2.2
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
2.2
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
2.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2.1
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
2.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
2.1
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2.1
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2.0
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
2.0
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
2.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
2.0
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
2.0
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2.0
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1.9
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1.9
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
1.9
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
1.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
1.9
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
1.8
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1.8
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1.8
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
1.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1.7
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
1.7
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
1.7
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
1.7
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1.7
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
1.7
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1.7
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1.7
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
1.7
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1.6
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
1.6
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
1.5
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
1.5
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1.5
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1.5
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1.5
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1.5
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
1.4
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
1.3
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
1.3
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1.3
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
1.3
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
1.2
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
1.2
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1.2
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1.1
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
1.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1.0
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1.0
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
0.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
0.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
0.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
0.9
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
0.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
0.8
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
0.8
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
0.8
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
0.8
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
0.7
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
0.7
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
0.6
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
0.6
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
0.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
0.6
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
0.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
0.5
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 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.
PRR12 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
3.0
Number of samples
231
Samples
Sample
Description
TPM
DO45245
75 years, female, NA, stage:2, dead, 240 days
13.4
DO45279
67 years, male, NA, stage:3, alive, 1290 days
10.1
DO45189
85 years, female, NA, stage:2, alive, 1200 days
9.6
DO45185
89 years, male, NA, stage:2, alive, 600 days
9.3
DO45289
78 years, female, NA, stage:3, alive, 360 days
8.2
DO45127
73 years, male, NA, stage:3, dead, 420 days
8.1
DO48757
68 years, female, NA, stage:3, alive, 480 days
7.6
DO45209
70 years, male, NA, stage:4, alive, 1350 days
7.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
7.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
7.3
DO45205
67 years, female, NA, stage:2, dead, 90 days
6.9
DO45301
56 years, male, NA, stage:2, dead, 1440 days
6.6
DO23528
45 years, female, NA, stage:2, alive, 1020 days
6.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
6.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
6.3
DO45211
76 years, male, NA, stage:3, alive, 240 days
6.1
DO45155
69 years, male, NA, stage:2, alive, 2160 days
6.1
DO23526
66 years, male, NA, stage:3, alive, 1050 days
6.1
DO45263
67 years, male, NA, stage:3, dead, 270 days
6.0
DO45249
57 years, male, NA, stage:1, alive, 630 days
5.9
DO45219
78 years, male, NA, stage:2, alive, 1080 days
5.9
DO45251
57 years, female, NA, stage:2, alive, 900 days
5.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
5.8
DO45121
61 years, male, NA, stage:3, alive, 1530 days
5.5
DO45287
74 years, male, NA, stage:1, alive, 390 days
5.5
DO45113
58 years, male, NA, stage:3, alive, 1560 days
5.3
DO45297
61 years, female, NA, stage:4, dead, 1260 days
5.3
DO45303
62 years, female, NA, stage:3, alive, 990 days
5.2
DO45149
70 years, female, NA, stage:2, alive, 1260 days
5.0
DO48736
76 years, female, NA, stage:1, alive, 600 days
5.0
DO50855
47 years, male, NA, stage:2, alive, 570 days
5.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
4.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
4.7
DO23535
67 years, male, NA, stage:1, alive, 960 days
4.6
DO23515
71 years, male, NA, stage:2, alive, 1230 days
4.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
4.5
DO23512
60 years, male, NA, stage:1, alive, 1260 days
4.5
DO48730
73 years, female, NA, stage:2, alive, 630 days
4.5
DO45259
65 years, male, NA, stage:3, alive, 330 days
4.5
DO50829
78 years, male, NA, stage:3, alive, 570 days
4.5
DO23513
76 years, male, NA, stage:3, alive, 1200 days
4.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
4.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
4.3
DO23521
63 years, male, NA, stage:3, alive, 1110 days
4.3
DO45099
46 years, male, NA, stage:3, alive, 1590 days
4.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
4.2
DO23537
79 years, male, NA, stage:2, dead, 900 days
4.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
4.2
DO45227
57 years, female, NA, stage:2, alive, 1020 days
4.1
DO45213
58 years, male, NA, stage:1, alive, 1200 days
4.1
DO45105
61 years, male, NA, stage:1, alive, 1680 days
4.1
DO23524
71 years, female, NA, stage:2, alive, 1050 days
4.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
4.0
DO45157
62 years, male, NA, stage:2, alive, 1980 days
4.0
DO45131
53 years, male, NA, stage:4, dead, 360 days
3.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
3.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
3.8
DO45299
70 years, female, NA, stage:1, alive, 1440 days
3.8
DO48728
74 years, female, NA, stage:2, alive, 150 days
3.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
3.7
DO23549
74 years, male, NA, stage:3, alive, 990 days
3.6
DO45139
63 years, male, NA, stage:3, alive, 1320 days
3.6
DO48681
57 years, male, NA, stage:2, alive, 900 days
3.6
DO50778
60 years, male, NA, stage:4, alive, 630 days
3.5
DO23540
73 years, male, NA, stage:1, alive, 750 days
3.5
DO45243
74 years, female, NA, stage:3, alive, 930 days
3.5
DO23530
53 years, male, NA, stage:4, dead, 180 days
3.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
3.5
DO50840
49 years, male, NA, stage:2, alive, 330 days
3.5
DO45159
65 years, male, NA, stage:3, alive, 1470 days
3.5
DO23547
74 years, male, NA, stage:1, alive, 1020 days
3.4
DO23552
80 years, female, NA, stage:1, alive, 810 days
3.4
DO23532
71 years, female, NA, stage:1, alive, 960 days
3.4
DO48743
69 years, female, NA, stage:2, alive, 570 days
3.4
DO45173
63 years, male, NA, stage:3, alive, 1170 days
3.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
3.3
DO45225
69 years, male, NA, stage:1, alive, 1050 days
3.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
3.2
DO23510
80 years, female, NA, stage:2, alive, 870 days
3.2
DO45269
59 years, male, NA, stage:3, alive, 750 days
3.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
3.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
3.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
3.1
DO48725
66 years, male, NA, stage:1, alive, 780 days
3.0
DO45239
42 years, male, NA, stage:2, alive, 870 days
3.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
3.0
DO45281
83 years, male, NA, stage:4, alive, 750 days
3.0
DO45123
78 years, female, NA, stage:2, dead, 570 days
3.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
2.9
DO23548
78 years, female, NA, stage:1, alive, 840 days
2.9
DO45101
63 years, male, NA, stage:2, alive, 1680 days
2.9
DO45153
77 years, female, NA, stage:2, alive, 1380 days
2.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
2.9
DO48697
64 years, female, NA, stage:2, dead, 810 days
2.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
2.8
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2.8
DO23516
69 years, male, NA, stage:3, dead, 20 days
2.8
DO23527
72 years, male, NA, stage:1, alive, 1050 days
2.8
DO23542
66 years, male, NA, stage:3, alive, 960 days
2.8
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
2.8
DO23523
52 years, male, NA, stage:3, alive, 1080 days
2.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
2.7
DO50857
72 years, male, NA, stage:2, alive, 210 days
2.7
DO50811
62 years, male, NA, stage:1, alive, 450 days
2.7
DO45241
49 years, male, NA, stage:1, alive, 1080 days
2.7
DO48701
78 years, male, NA, stage:2, alive, 780 days
2.7
DO50800
74 years, male, NA, stage:2, alive, 510 days
2.7
DO45223
67 years, male, NA, stage:4, alive, 1020 days
2.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
2.6
DO23536
56 years, male, NA, stage:2, alive, 930 days
2.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
2.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
2.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
2.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
2.6
DO48715
58 years, female, NA, stage:2, dead, 690 days
2.6
DO45183
72 years, female, NA, stage:2, dead, 570 days
2.5
DO45179
78 years, female, NA, stage:2, alive, 600 days
2.5
DO23539
77 years, male, NA, stage:1, alive, 1110 days
2.5
DO48746
76 years, male, NA, stage:3, alive, 570 days
2.5
DO45115
81 years, male, NA, stage:2, alive, 840 days
2.5
DO48706
72 years, male, NA, stage:2, alive, 870 days
2.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
2.5
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2.5
DO45247
31 years, female, NA, stage:2, alive, 210 days
2.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
2.5
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
2.4
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
2.4
DO45253
50 years, male, NA, stage:2, alive, 870 days
2.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
2.4
DO48751
68 years, male, NA, stage:2, dead, 480 days
2.4
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2.4
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2.3
DO48677
58 years, male, NA, stage:3, alive, 1140 days
2.3
DO48737
52 years, male, NA, stage:1, alive, 720 days
2.3
DO48679
72 years, male, NA, stage:2, alive, 1200 days
2.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
2.3
DO50802
49 years, male, NA, stage:2, alive, 930 days
2.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
2.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
2.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
2.3
DO48733
72 years, male, NA, stage:2, alive, 600 days
2.3
DO45233
83 years, male, NA, stage:3, alive, 900 days
2.2
DO48712
50 years, male, NA, stage:2, alive, 810 days
2.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
2.2
DO45093
71 years, male, NA, stage:2, dead, 720 days
2.2
DO23514
64 years, male, NA, stage:2, alive, 1290 days
2.2
DO50819
72 years, female, NA, stage:2, alive, 510 days
2.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
2.2
DO48695
77 years, male, NA, stage:2, alive, 720 days
2.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
2.1
DO50832
73 years, male, NA, stage:3, alive, 90 days
2.1
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2.1
DO23541
65 years, male, NA, stage:2, alive, 930 days
2.1
DO50859
77 years, male, NA, stage:2, alive, 180 days
2.0
DO45191
61 years, female, NA, stage:2, alive, 1200 days
2.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2.0
DO45161
74 years, male, NA, stage:2, dead, 540 days
2.0
DO50818
65 years, male, NA, stage:2, alive, 510 days
2.0
DO50850
74 years, male, NA, stage:3, alive, 720 days
2.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
2.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
2.0
DO45094
76 years, male, NA, stage:3, alive, 1650 days
2.0
DO45133
64 years, male, NA, stage:3, dead, 660 days
1.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
1.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
1.9
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
1.9
DO50789
73 years, female, NA, stage:2, alive, 570 days
1.9
DO48761
55 years, male, NA, stage:2, alive, 870 days
1.9
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1.8
DO45237
58 years, male, NA, stage:2, alive, 900 days
1.8
DO50803
62 years, female, NA, stage:1, alive, 540 days
1.8
DO45267
73 years, male, NA, stage:3, dead, 570 days
1.8
DO50804
81 years, male, NA, stage:2, alive, 720 days
1.8
DO50776
75 years, male, NA, stage:1, alive, 690 days
1.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
1.8
DO50845
72 years, male, NA, stage:3, alive, 210 days
1.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
1.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
1.7
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1.7
DO45255
81 years, male, NA, stage:3, alive, 720 days
1.7
DO45229
74 years, male, NA, stage:1, alive, 990 days
1.7
DO48693
71 years, male, NA, stage:2, alive, 900 days
1.7
DO48704
68 years, female, NA, stage:3, alive, 750 days
1.7
DO227801
77 years, female, NA, stage:1, alive, 660 days
1.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
1.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
1.6
DO50806
70 years, male, NA, stage:4, alive, 540 days
1.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
1.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
1.6
DO50798
77 years, male, NA, stage:3, dead, 30 days
1.6
DO50807
67 years, male, NA, stage:1, alive, 540 days
1.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
1.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
1.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
1.5
DO45097
69 years, male, NA, stage:3, alive, 1620 days
1.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
1.5
DO45175
74 years, male, NA, stage:2, alive, 1140 days
1.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
1.5
DO50817
75 years, male, NA, stage:2, alive, 390 days
1.4
DO227643
79 years, male, NA, stage:2, alive, 1260 days
1.3
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1.3
DO45129
61 years, male, NA, stage:3, alive, 1470 days
1.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
1.3
DO45285
59 years, male, NA, stage:3, alive, 480 days
1.3
DO50774
68 years, female, NA, stage:2, alive, 720 days
1.2
DO23525
71 years, male, NA, stage:4, alive, 1050 days
1.2
DO50785
37 years, male, NA, stage:4, dead, 90 days
1.2
DO45109
63 years, male, NA, stage:2, alive, 1590 days
1.2
DO45201
49 years, male, NA, stage:1, alive, 900 days
1.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
1.1
DO48760
70 years, female, NA, stage:2, alive, 690 days
1.1
DO50839
47 years, female, NA, stage:3, alive, 330 days
1.1
DO45167
67 years, male, NA, stage:2, dead, 1440 days
1.1
DO23509
60 years, male, NA, stage:3, dead, 780 days
1.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
1.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
0.9
DO23551
73 years, male, NA, stage:3, dead, 150 days
0.9
DO48759
73 years, male, NA, stage:3, alive, 720 days
0.9
DO23544
67 years, male, NA, stage:2, alive, 960 days
0.8
DO45119
74 years, male, NA, stage:3, dead, 510 days
0.8
DO48674
80 years, male, NA, stage:2, alive, 1260 days
0.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
0.6
DO45195
62 years, male, NA, stage:1, alive, 390 days
0.5
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
123
Tumor
2.1
332
Normal
2.0
124
Normal
1.7
314
Normal
1.6
113
Tumor
1.5
278
Normal
1.5
114
Normal
1.5
298
Normal
1.4
222
Normal
1.4
112
Tumor
1.2
313
Tumor
1.1
312
Normal
1.0
111
Normal
0.9
196
Normal
0.9
517
Tumor
0.9
661
Tumor
0.9
126
Normal
0.9
218
Normal
0.9
627
Tumor
0.9
128
Normal
0.8
737
Tumor
0.8
943
Tumor
0.8
1025
Tumor
0.8
331
Tumor
0.7
214
Normal
0.7
446
Normal
0.6
921
Tumor
0.6
545
Tumor
0.6
283
Tumor
0.6
641
Tumor
0.6
473
Tumor
0.6
285
Tumor
0.6
444
Normal
0.6
195
Tumor
0.6
727
Tumor
0.6
297
Tumor
0.6
642
Normal
0.6
425
Tumor
0.6
211
Tumor
0.6
217
Tumor
0.6
447
Tumor
0.6
815
Tumor
0.6
1021
Tumor
0.6
647
Tumor
0.5
1046
Normal
0.5
863
Tumor
0.5
865
Tumor
0.5
463
Tumor
0.5
915
Tumor
0.5
192
Normal
0.5
536
Normal
0.5
341
Tumor
0.5
635
Tumor
0.5
953
Tumor
0.5
721
Tumor
0.4
724
Normal
0.4
786
Normal
0.4
965
Tumor
0.4
1042
Normal
0.4
715
Tumor
0.4
777
Tumor
0.4
881
Tumor
0.4
695
Tumor
0.4
628
Normal
0.4
478
Normal
0.4
618
Normal
0.4
1044
Normal
0.4
1013
Tumor
0.4
343
Tumor
0.4
467
Tumor
0.4
743
Tumor
0.4
723
Tumor
0.4
615
Tumor
0.4
483
Tumor
0.4
878
Normal
0.4
728
Normal
0.3
523
Tumor
0.3
884
Normal
0.3
975
Tumor
0.3
432
Normal
0.3
224
Normal
0.3
497
Tumor
0.3
967
Tumor
0.3
1045
Tumor
0.3
636
Normal
0.3
851
Tumor
0.3
127
Tumor
0.3
756
Normal
0.3
428
Normal
0.3
817
Tumor
0.3
912
Normal
0.3
213
Tumor
0.3
882
Normal
0.3
277
Tumor
0.3
616
Normal
0.3
426
Normal
0.3
742
Normal
0.2
465
Tumor
0.2
424
Normal
0.2
744
Normal
0.2
813
Tumor
0.2
963
Tumor
0.2
785
Tumor
0.2
951
Tumor
0.2
534
Normal
0.2
472
Normal
0.2
351
Tumor
0.2
221
Tumor
0.2
976
Normal
0.2
515
Tumor
0.2
671
Tumor
0.2
977
Tumor
0.1
685
Tumor
0.1
983
Tumor
0.1
698
Normal
0.1
814
Normal
0.1
918
Normal
0.1
958
Normal
0.1
537
Tumor
0.1
914
Normal
0.1
716
Normal
0.1
554
Normal
0.1
877
Tumor
0.1
964
Normal
0.1
191
Tumor
0.1
778
Normal
0.1
448
Normal
0.1
528
Normal
0.1
456
Normal
0.1
443
Tumor
0.1
161
Tumor
0.1
464
Normal
0.1
455
Tumor
0.1
883
Tumor
0.1
488
Normal
0.1
171
Tumor
0.1
461
Tumor
0.1
468
Normal
0.1
481
Tumor
0.1
697
Tumor
0.1
568
Normal
0.1
1031
Tumor
0.1
228
Normal
0.1
663
Tumor
0.1
873
Tumor
0.1
911
Tumor
0.1
746
Normal
0.0
913
Tumor
0.0
492
Normal
0.0
525
Tumor
0.0
538
Normal
0.0
923
Tumor
0.0
823
Tumor
0.0
474
Normal
0.0
436
Normal
0.0
567
Tumor
0.0
185
Tumor
0.0
147
Tumor
0.0
968
Normal
0.0
672
Normal
0.0
413
Tumor
0.0
546
Normal
0.0
738
Normal
0.0
1026
Normal
0.0
352
Normal
0.0
311
Tumor
0.0
414
Normal
0.0
212
Normal
0.0
553
Tumor
0.0
462
Normal
0.0
713
Tumor
0.0
172
Normal
0.0
494
Normal
0.0
148
Normal
0.0
498
Normal
0.0
1016
Normal
0.0
533
Tumor
0.0
957
Tumor
0.0
954
Normal
-0.1
666
Normal
-0.1
874
Normal
-0.1
662
Normal
-0.1
434
Normal
-0.1
741
Tumor
-0.1
665
Tumor
-0.1
357
Tumor
-0.1
354
Normal
-0.1
524
Normal
-0.1
574
Normal
-0.1
284
Normal
-0.1
427
Tumor
-0.1
535
Tumor
-0.1
857
Tumor
-0.1
966
Normal
-0.1
187
Tumor
-0.1
982
Normal
-0.1
648
Normal
-0.1
421
Tumor
-0.1
286
Normal
-0.1
664
Normal
-0.1
714
Normal
-0.1
513
Tumor
-0.1
186
Normal
-0.1
926
Normal
-0.1
862
Normal
-0.1
527
Tumor
-0.1
471
Tumor
-0.1
686
Normal
-0.1
223
Tumor
-0.1
493
Tumor
-0.1
696
Normal
-0.1
861
Tumor
-0.1
852
Normal
-0.1
482
Normal
-0.2
188
Normal
-0.2
422
Normal
-0.2
866
Normal
-0.2
477
Tumor
-0.2
491
Tumor
-0.2
984
Normal
-0.2
867
Tumor
-0.2
431
Tumor
-0.2
864
Normal
-0.2
922
Normal
-0.2
1014
Normal
-0.2
978
Normal
-0.2
423
Tumor
-0.2
557
Tumor
-0.2
451
Tumor
-0.2
917
Tumor
-0.2
952
Normal
-0.2
162
Normal
-0.2
466
Normal
-0.2
452
Normal
-0.2
227
Tumor
-0.2
868
Normal
-0.2
617
Tumor
-0.2
925
Tumor
-0.3
484
Normal
-0.3
358
Normal
-0.3
745
Tumor
-0.3
956
Normal
-0.3
558
Normal
-0.3
516
Normal
-0.3
1015
Tumor
-0.3
818
Normal
-0.3
445
Tumor
-0.3
1043
Tumor
-0.3
573
Tumor
-0.3
858
Normal
-0.3
755
Tumor
-0.3
1028
Normal
-0.3
435
Tumor
-0.4
564
Normal
-0.4
563
Tumor
-0.4
1041
Tumor
-0.4
353
Tumor
-0.4
433
Tumor
-0.4
722
Normal
-0.4
1032
Normal
-0.4
816
Normal
-0.4
487
Tumor
-0.4
1027
Tumor
-0.4
572
Normal
-0.4
916
Normal
-0.4
924
Normal
-0.4
514
Normal
-0.4
937
Tumor
-0.5
1022
Normal
-0.5
526
Normal
-0.5
824
Normal
-0.5
518
Normal
-0.5
342
Normal
-0.5
344
Normal
-0.5
571
Tumor
-0.6
125
Tumor
-0.6
981
Tumor
-0.6
944
Normal
-0.6
938
Normal
-0.7
955
Tumor
-0.8
231
Tumor
N/A
232
Normal
N/A
355
Tumor
N/A
356
Normal
N/A
361
Tumor
N/A
362
Normal
N/A
363
Tumor
N/A
364
Normal
N/A
365
Tumor
N/A
366
Normal
N/A
367
Tumor
N/A
368
Normal
N/A
131
Tumor
N/A
132
Normal
N/A
375
Tumor
N/A
376
Normal
N/A
135
Tumor
N/A
136
Normal
N/A
257
Tumor
N/A
137
Tumor
N/A
258
Normal
N/A
138
Normal
N/A
261
Tumor
N/A
141
Tumor
N/A
262
Normal
N/A
383
Tumor
N/A
142
Normal
N/A
384
Normal
N/A
385
Tumor
N/A
386
Normal
N/A
145
Tumor
N/A
387
Tumor
N/A
146
Normal
N/A
267
Tumor
N/A
388
Normal
N/A
268
Normal
N/A
391
Tumor
N/A
271
Tumor
N/A
392
Normal
N/A
272
Normal
N/A
393
Tumor
N/A
394
Normal
N/A
395
Tumor
N/A
396
Normal
N/A
411
Tumor
N/A
412
Normal
N/A
415
Tumor
N/A
416
Normal
N/A
327
Tumor
N/A
328
Normal
N/A
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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
