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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.
NPTN 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
36.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
149.4
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
146.6
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
143.8
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
125.2
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
113.2
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
106.5
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
99.6
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
98.9
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
98.0
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
92.1
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
89.3
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
88.9
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
81.5
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
81.4
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
81.0
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
80.5
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
79.3
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
78.7
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
76.5
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
76.1
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
76.0
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
73.4
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
71.4
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
71.0
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
69.7
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
69.1
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
68.8
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
68.4
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
67.5
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
67.4
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
65.1
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
63.9
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
62.5
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
62.2
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
62.1
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
62.1
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
62.1
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
61.1
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
60.4
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
60.4
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
60.3
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
60.0
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
59.6
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
59.5
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
59.1
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
58.9
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
58.8
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
58.4
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
58.4
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
58.2
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
57.4
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
57.4
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
57.4
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
57.2
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
56.5
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
56.2
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
56.1
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
54.9
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
54.6
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
53.6
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
53.6
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
53.5
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
53.4
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
53.0
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
52.8
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
52.8
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
52.7
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
52.7
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
52.2
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
52.2
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
52.1
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
51.9
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
51.6
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
51.6
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
51.5
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
51.1
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
51.0
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
50.6
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
50.6
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
50.3
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
50.2
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
50.0
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
49.7
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
49.4
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
49.4
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
49.1
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
49.1
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
49.1
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
48.9
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
48.6
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
48.6
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
48.4
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
48.3
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
48.0
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
47.8
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
47.6
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
46.9
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
46.9
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
46.7
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
46.6
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
46.5
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
46.2
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
46.1
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
46.1
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
46.0
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
45.7
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
45.4
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
45.3
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
45.1
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
44.9
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
44.8
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
44.8
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
44.5
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
44.2
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
44.2
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
44.0
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
44.0
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
44.0
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
43.9
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
43.6
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
43.2
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
43.0
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
42.9
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
42.9
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
42.7
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
42.0
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
41.9
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
41.7
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
41.3
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
41.1
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
40.9
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
40.5
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
40.1
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
40.0
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
40.0
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
39.9
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
39.8
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
39.7
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
39.7
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
39.3
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
39.3
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
39.1
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
38.9
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
38.3
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
37.7
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
37.5
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
37.3
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
37.3
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
36.7
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
36.7
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
36.6
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
36.5
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
36.5
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
36.4
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
36.2
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
36.1
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
36.0
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
35.6
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
35.6
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
35.6
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
35.5
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
35.5
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
35.4
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
35.4
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
35.3
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
35.3
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
34.9
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
34.6
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
34.3
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
34.1
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
33.8
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
33.8
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
33.7
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
33.6
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
33.4
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
33.0
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
33.0
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
32.9
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
32.7
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
32.6
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
32.5
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
32.5
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
32.4
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
32.2
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
32.2
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
31.9
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
31.8
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
31.7
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
31.7
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
31.6
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
31.4
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
31.3
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
31.2
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
31.2
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
31.1
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
30.4
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
30.4
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
30.3
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
30.0
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
29.8
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
29.0
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
28.9
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
28.9
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
28.8
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
28.8
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
28.8
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
28.5
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
28.3
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
28.2
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
28.1
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
28.0
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
27.9
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
27.9
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
27.8
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
27.8
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
27.6
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
27.6
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
27.3
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
26.8
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
26.8
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
26.8
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
26.5
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
26.3
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
26.2
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
26.0
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
25.9
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
25.8
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
25.6
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
25.6
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
25.3
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
25.3
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
25.3
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
25.2
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
25.2
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
25.0
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
24.9
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
24.7
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
24.4
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
24.3
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
24.2
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
24.1
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
24.0
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
23.9
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
23.9
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
23.8
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
23.8
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
23.7
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
23.6
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
23.6
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
23.6
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
23.4
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
23.3
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
23.1
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
23.0
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
23.0
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
22.7
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
22.6
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
22.6
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
22.4
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
22.3
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
22.3
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
22.2
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
22.1
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
22.1
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
22.0
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
22.0
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
22.0
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
21.5
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
21.2
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
21.1
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
20.9
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
20.8
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
20.6
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
20.3
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
20.0
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
19.8
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
19.6
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
19.4
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
19.2
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
19.0
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
19.0
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
19.0
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
18.9
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
18.8
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
18.7
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
18.6
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
18.5
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
18.5
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
18.1
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
17.8
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
17.8
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
17.7
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
17.6
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
17.4
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
17.2
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
17.2
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
17.0
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
16.8
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
16.7
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
16.6
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
16.5
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
16.5
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
16.5
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
16.4
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
16.1
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
15.9
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
15.9
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
15.8
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
15.8
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
15.8
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
15.3
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
15.1
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
14.9
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
14.8
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
14.6
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
14.4
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
14.3
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
14.2
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
13.9
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
13.5
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
13.4
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
13.2
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
13.0
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
12.8
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
12.4
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
12.3
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
12.1
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
12.0
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
11.8
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
11.7
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
11.2
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
11.1
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
10.9
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
10.7
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
10.6
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
10.6
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
10.4
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
10.3
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
10.1
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
9.8
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
9.6
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
9.4
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
9.3
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
9.2
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
8.9
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
8.8
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
7.9
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
7.9
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
7.7
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
7.5
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
6.6
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
6.5
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
6.3
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
5.9
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
5.8
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
5.7
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
4.7
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
4.6
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
4.4
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
4.2
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
4.1
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 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.
NPTN 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
38.8
Number of samples
231
Samples
Sample
Description
TPM
DO45205
0 years, female, NA, stage:2, dead, 90 days
109.3
DO45137
0 years, male, NA, stage:1, alive, 1320 days
96.5
DO50855
0 years, male, NA, stage:2, alive, 570 days
87.3
DO45127
0 years, male, NA, stage:3, dead, 420 days
83.3
DO45303
0 years, female, NA, stage:3, alive, 990 days
82.6
DO45197
0 years, male, NA, stage:2, alive, 1170 days
81.7
DO45297
0 years, female, NA, stage:4, dead, 1260 days
77.4
DO45299
0 years, female, NA, stage:1, alive, 1440 days
77.0
DO45259
0 years, male, NA, stage:3, alive, 330 days
69.0
DO45279
0 years, male, NA, stage:3, alive, 1290 days
68.8
DO45275
0 years, male, NA, stage:3, dead, 10 days
68.2
DO45245
0 years, female, NA, stage:2, dead, 240 days
68.1
DO45253
0 years, male, NA, stage:2, alive, 870 days
67.5
DO45239
0 years, male, NA, stage:2, alive, 870 days
67.3
DO45183
0 years, female, NA, stage:2, dead, 570 days
67.1
DO45307
0 years, female, NA, stage:4, dead, 240 days
63.5
DO45249
0 years, male, NA, stage:1, alive, 630 days
63.5
DO45092
0 years, male, NA, stage:4, dead, 1200 days
62.9
DO45301
0 years, male, NA, stage:2, dead, 1440 days
61.6
DO23515
0 years, male, NA, stage:2, alive, 1230 days
61.4
DO23523
0 years, male, NA, stage:3, alive, 1080 days
60.8
DO45121
0 years, male, NA, stage:3, alive, 1530 days
60.3
DO45191
0 years, female, NA, stage:2, alive, 1200 days
59.4
DO48704
0 years, female, NA, stage:3, alive, 750 days
58.6
DO23521
0 years, male, NA, stage:3, alive, 1110 days
58.4
DO23510
0 years, female, NA, stage:2, alive, 870 days
58.3
DO45096
0 years, male, NA, stage:2, dead, 1290 days
58.2
DO48751
0 years, male, NA, stage:2, dead, 480 days
57.7
DO45159
0 years, male, NA, stage:3, alive, 1470 days
57.5
DO45155
0 years, male, NA, stage:2, alive, 2160 days
56.8
DO45287
0 years, male, NA, stage:1, alive, 390 days
56.3
DO48720
0 years, female, NA, stage:2, alive, 570 days
55.4
DO23524
0 years, female, NA, stage:2, alive, 1050 days
54.7
DO23535
0 years, male, NA, stage:1, alive, 960 days
54.0
DO45247
0 years, female, NA, stage:2, alive, 210 days
53.8
DO45277
0 years, male, NA, stage:3, alive, 600 days
53.8
DO45305
0 years, male, NA, stage:4, alive, 300 days
53.7
DO45251
0 years, female, NA, stage:2, alive, 900 days
53.1
DO48682
0 years, female, NA, stage:3, dead, 120 days
52.8
DO45185
0 years, male, NA, stage:2, alive, 600 days
52.3
DO23526
0 years, male, NA, stage:3, alive, 1050 days
52.0
DO50778
0 years, male, NA, stage:4, alive, 630 days
51.9
DO45139
0 years, male, NA, stage:3, alive, 1320 days
50.8
DO23552
0 years, female, NA, stage:1, alive, 810 days
50.6
DO50820
0 years, female, NA, stage:3, alive, 510 days
50.6
DO45113
0 years, male, NA, stage:3, alive, 1560 days
50.1
DO45257
0 years, male, NA, stage:3, alive, 810 days
50.0
DO45213
0 years, male, NA, stage:1, alive, 1200 days
50.0
DO45227
0 years, female, NA, stage:2, alive, 1020 days
49.9
DO45273
0 years, male, NA, stage:2, alive, 480 days
49.8
DO23547
0 years, male, NA, stage:1, alive, 1020 days
49.4
DO48717
0 years, male, NA, stage:4, dead, 180 days
49.4
DO45153
0 years, female, NA, stage:2, alive, 1380 days
49.1
DO45207
0 years, male, NA, stage:1, alive, 1050 days
49.1
DO23518
0 years, male, NA, stage:2, alive, 1320 days
48.8
DO50789
0 years, female, NA, stage:2, alive, 570 days
48.7
DO45099
0 years, male, NA, stage:3, alive, 1590 days
48.5
DO23542
0 years, male, NA, stage:3, alive, 960 days
48.0
DO45115
0 years, male, NA, stage:2, alive, 840 days
47.6
DO45217
0 years, female, NA, stage:3, dead, 270 days
47.5
DO45103
0 years, male, NA, stage:3, alive, 450 days
47.2
DO45161
0 years, male, NA, stage:2, dead, 540 days
47.2
DO45223
0 years, male, NA, stage:4, alive, 1020 days
47.1
DO23530
0 years, male, NA, stage:4, dead, 180 days
46.9
DO45187
0 years, female, NA, stage:1, alive, 1260 days
46.8
DO45243
0 years, female, NA, stage:3, alive, 930 days
46.4
DO45189
0 years, female, NA, stage:2, alive, 1200 days
45.9
DO50799
0 years, female, NA, stage:2, alive, 540 days
45.8
DO23516
0 years, male, NA, stage:3, dead, 20 days
45.7
DO45091
0 years, male, NA, stage:2, dead, 1320 days
45.3
DO45145
0 years, male, NA, stage:3, dead, 60 days
45.2
DO45283
0 years, male, NA, stage:3, alive, 510 days
44.8
DO45263
0 years, male, NA, stage:3, dead, 270 days
44.4
DO23538
0 years, male, NA, stage:2, alive, 450 days
44.2
DO45173
0 years, male, NA, stage:3, alive, 1170 days
44.0
DO48736
0 years, female, NA, stage:1, alive, 600 days
43.9
DO23513
0 years, male, NA, stage:3, alive, 1200 days
43.8
DO50800
0 years, male, NA, stage:2, alive, 510 days
43.6
DO50840
0 years, male, NA, stage:2, alive, 330 days
43.4
DO48732
0 years, male, NA, stage:3, alive, 630 days
43.3
DO45219
0 years, male, NA, stage:2, alive, 1080 days
42.7
DO23527
0 years, male, NA, stage:1, alive, 1050 days
42.5
DO45211
0 years, male, NA, stage:3, alive, 240 days
42.3
DO45231
0 years, male, NA, stage:2, alive, 930 days
42.0
DO45171
0 years, male, NA, stage:3, alive, 600 days
41.8
DO45265
0 years, male, NA, stage:3, alive, 1020 days
41.8
DO45177
0 years, female, NA, stage:3, alive, 1260 days
41.7
DO50811
0 years, male, NA, stage:1, alive, 450 days
41.6
DO45261
0 years, male, NA, stage:3, alive, 990 days
41.6
DO227801
0 years, female, NA, stage:1, alive, 660 days
41.3
DO45209
0 years, male, NA, stage:4, alive, 1350 days
41.1
DO48701
0 years, male, NA, stage:2, alive, 780 days
41.0
DO45203
0 years, female, NA, stage:2, alive, 1170 days
40.8
DO23540
0 years, male, NA, stage:1, alive, 750 days
40.6
DO45289
0 years, female, NA, stage:3, alive, 360 days
40.2
DO45119
0 years, male, NA, stage:3, dead, 510 days
40.1
DO48700
0 years, female, NA, stage:2, alive, 810 days
40.0
DO48733
0 years, male, NA, stage:2, alive, 600 days
39.7
DO48672
0 years, male, NA, stage:2, alive, 450 days
38.8
DO50850
0 years, male, NA, stage:3, alive, 720 days
38.6
DO45281
0 years, male, NA, stage:4, alive, 750 days
38.5
DO23509
0 years, male, NA, stage:3, dead, 780 days
38.3
DO50829
0 years, male, NA, stage:3, alive, 570 days
38.2
DO50774
0 years, female, NA, stage:2, alive, 720 days
38.1
DO45135
0 years, male, NA, stage:1, alive, 1410 days
37.9
DO48730
0 years, female, NA, stage:2, alive, 630 days
37.7
DO45165
0 years, male, NA, stage:2, alive, 690 days
37.5
DO23514
0 years, male, NA, stage:2, alive, 1290 days
37.2
DO48697
0 years, female, NA, stage:2, dead, 810 days
37.1
DO45285
0 years, male, NA, stage:3, alive, 480 days
36.6
DO48743
0 years, female, NA, stage:2, alive, 570 days
36.5
DO45233
0 years, male, NA, stage:3, alive, 900 days
36.5
DO45141
0 years, male, NA, stage:2, alive, 1320 days
36.4
DO48712
0 years, male, NA, stage:2, alive, 810 days
36.3
DO48742
0 years, male, NA, stage:2, alive, 600 days
36.3
DO50822
0 years, male, NA, stage:2, alive, 510 days
36.2
DO45201
0 years, male, NA, stage:1, alive, 900 days
35.6
DO45163
0 years, male, NA, stage:2, alive, 960 days
35.5
DO48728
0 years, female, NA, stage:2, alive, 150 days
35.5
DO50832
0 years, male, NA, stage:3, alive, 90 days
35.2
DO45269
0 years, male, NA, stage:3, alive, 750 days
35.0
DO48759
0 years, male, NA, stage:3, alive, 720 days
35.0
DO50791
0 years, female, NA, stage:1, dead, 480 days
34.9
DO45229
0 years, male, NA, stage:1, alive, 990 days
34.9
DO23541
0 years, male, NA, stage:2, alive, 930 days
34.6
DO45169
0 years, male, NA, stage:3, alive, 1350 days
34.5
DO48725
0 years, male, NA, stage:1, alive, 780 days
34.5
DO45094
0 years, male, NA, stage:3, alive, 1650 days
34.4
DO45225
0 years, male, NA, stage:1, alive, 1050 days
34.3
DO45167
0 years, male, NA, stage:2, dead, 1440 days
34.3
DO23528
0 years, female, NA, stage:2, alive, 1020 days
34.2
DO50793
0 years, male, NA, stage:4, alive, 540 days
34.0
DO50809
0 years, male, NA, stage:3, dead, 720 days
33.8
DO50806
0 years, male, NA, stage:4, alive, 540 days
33.4
DO48723
0 years, male, NA, stage:1, alive, 600 days
33.1
DO48719
0 years, male, NA, stage:2, alive, 690 days
32.4
DO45093
0 years, male, NA, stage:2, dead, 720 days
32.2
DO50787
0 years, male, NA, stage:3, alive, 480 days
32.1
DO45123
0 years, female, NA, stage:2, dead, 570 days
31.8
DO45107
0 years, female, NA, stage:2, alive, 1710 days
31.8
DO48746
0 years, male, NA, stage:3, alive, 570 days
31.7
DO50808
0 years, male, NA, stage:2, alive, 570 days
31.7
DO45199
0 years, female, NA, stage:2, alive, 1350 days
31.6
DO45235
0 years, female, NA, stage:1, alive, 900 days
31.5
DO23508
0 years, female, NA, stage:2, alive, 390 days
31.1
DO48727
0 years, female, NA, stage:2, dead, 390 days
31.0
DO45179
0 years, female, NA, stage:2, alive, 600 days
30.9
DO50776
0 years, male, NA, stage:1, alive, 690 days
30.9
DO45129
0 years, male, NA, stage:3, alive, 1470 days
30.9
DO45095
0 years, male, NA, stage:2, alive, 1620 days
30.7
DO50825
0 years, male, NA, stage:2, alive, 390 days
30.6
DO23537
0 years, male, NA, stage:2, dead, 900 days
30.6
DO50819
0 years, female, NA, stage:2, alive, 510 days
30.5
DO48716
0 years, male, NA, stage:2, alive, 720 days
30.3
DO45131
0 years, male, NA, stage:4, dead, 360 days
30.3
DO45125
0 years, male, NA, stage:3, alive, 1680 days
30.1
DO23519
0 years, male, NA, stage:3, alive, 630 days
29.8
DO45255
0 years, male, NA, stage:3, alive, 720 days
29.7
DO48695
0 years, male, NA, stage:2, alive, 720 days
29.4
DO45157
0 years, male, NA, stage:2, alive, 1980 days
29.3
DO45133
0 years, male, NA, stage:3, dead, 660 days
29.0
DO23512
0 years, male, NA, stage:1, alive, 1260 days
28.7
DO45143
0 years, male, NA, stage:3, alive, 1290 days
28.7
DO48679
0 years, male, NA, stage:2, alive, 1200 days
28.6
DO50815
0 years, male, NA, stage:3, alive, 150 days
28.5
DO50803
0 years, female, NA, stage:1, alive, 540 days
28.1
DO23533
0 years, male, NA, stage:2, alive, 900 days
28.0
DO48681
0 years, male, NA, stage:2, alive, 900 days
27.7
DO45221
0 years, female, NA, stage:4, dead, 390 days
27.5
DO50859
0 years, male, NA, stage:2, alive, 180 days
27.4
DO50783
0 years, male, NA, stage:3, alive, 480 days
27.3
DO45097
0 years, male, NA, stage:3, alive, 1620 days
27.0
DO45111
0 years, male, NA, stage:2, alive, 1590 days
27.0
DO48761
0 years, male, NA, stage:2, alive, 870 days
26.7
DO50813
0 years, male, NA, stage:2, alive, 420 days
26.7
DO23550
0 years, male, NA, stage:1, alive, 990 days
26.5
DO50844
0 years, male, NA, stage:4, alive, 300 days
26.3
DO23548
0 years, female, NA, stage:1, alive, 840 days
26.3
DO23539
0 years, male, NA, stage:1, alive, 1110 days
26.2
DO48757
0 years, female, NA, stage:3, alive, 480 days
26.2
DO50807
0 years, male, NA, stage:1, alive, 540 days
26.1
DO45267
0 years, male, NA, stage:3, dead, 570 days
26.1
DO50802
0 years, male, NA, stage:2, alive, 930 days
25.9
DO45117
0 years, female, NA, stage:2, dead, 1110 days
25.8
DO23529
0 years, male, NA, stage:4, alive, 930 days
25.6
DO50816
0 years, male, NA, stage:2, alive, 390 days
25.5
DO50857
0 years, male, NA, stage:2, alive, 210 days
25.5
DO50798
0 years, male, NA, stage:3, dead, 30 days
25.3
DO50805
0 years, male, NA, stage:2, alive, 690 days
25.2
DO23531
0 years, female, NA, stage:3, alive, 900 days
25.1
DO45241
0 years, male, NA, stage:1, alive, 1080 days
24.9
DO48677
0 years, male, NA, stage:3, alive, 1140 days
24.8
DO50785
0 years, male, NA, stage:4, dead, 90 days
24.4
DO48760
0 years, female, NA, stage:2, alive, 690 days
24.4
DO50804
0 years, male, NA, stage:2, alive, 720 days
24.1
DO23543
0 years, male, NA, stage:2, alive, 1020 days
24.0
DO45193
0 years, female, NA, stage:4, dead, 120 days
23.7
DO45181
0 years, female, NA, stage:2, alive, 1200 days
23.7
DO50845
0 years, male, NA, stage:3, alive, 210 days
23.6
DO48715
0 years, female, NA, stage:2, dead, 690 days
23.6
DO23536
0 years, male, NA, stage:2, alive, 930 days
23.0
DO227643
0 years, male, NA, stage:2, alive, 1260 days
22.6
DO23511
0 years, female, NA, stage:3, dead, 180 days
22.5
DO48693
0 years, male, NA, stage:2, alive, 900 days
21.7
DO48721
0 years, female, NA, stage:1, alive, 900 days
21.5
DO45105
0 years, male, NA, stage:1, alive, 1680 days
21.1
DO48747
0 years, male, NA, stage:3, alive, 540 days
21.0
DO48741
0 years, male, NA, stage:3, alive, 240 days
20.7
DO45237
0 years, male, NA, stage:2, alive, 900 days
20.7
DO45215
0 years, male, NA, stage:2, alive, 1170 days
20.6
DO23525
0 years, male, NA, stage:4, alive, 1050 days
20.3
DO23551
0 years, male, NA, stage:3, dead, 150 days
20.2
DO23546
0 years, male, NA, stage:2, alive, 1050 days
20.0
DO23545
0 years, male, NA, stage:2, dead, 570 days
19.9
DO45109
0 years, male, NA, stage:2, alive, 1590 days
19.2
DO23534
0 years, male, NA, stage:2, alive, 840 days
18.8
DO23549
0 years, male, NA, stage:3, alive, 990 days
18.5
DO45175
0 years, male, NA, stage:2, alive, 1140 days
18.5
DO48706
0 years, male, NA, stage:2, alive, 870 days
18.1
DO45195
0 years, male, NA, stage:1, alive, 390 days
17.8
DO45101
0 years, male, NA, stage:2, alive, 1680 days
17.6
DO50818
0 years, male, NA, stage:2, alive, 510 days
17.4
DO50817
0 years, male, NA, stage:2, alive, 390 days
16.8
DO48737
0 years, male, NA, stage:1, alive, 720 days
16.6
DO45149
0 years, female, NA, stage:2, alive, 1260 days
16.6
DO50814
0 years, male, NA, stage:3, alive, 420 days
16.1
DO23544
0 years, male, NA, stage:2, alive, 960 days
15.2
DO23532
0 years, female, NA, stage:1, alive, 960 days
14.7
DO23517
0 years, male, NA, stage:2, alive, 1200 days
14.3
DO48674
0 years, male, NA, stage:2, alive, 1260 days
10.8
DO50839
0 years, female, NA, stage:3, alive, 330 days
7.9
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
533
Tumor
1.3
745
Tumor
1.1
1025
Tumor
1.0
921
Tumor
1.0
473
Tumor
1.0
553
Tumor
0.9
523
Tumor
0.9
647
Tumor
0.9
813
Tumor
0.8
965
Tumor
0.8
737
Tumor
0.8
851
Tumor
0.7
983
Tumor
0.7
527
Tumor
0.7
363
Tumor
0.7
517
Tumor
0.7
1043
Tumor
0.7
367
Tumor
0.7
975
Tumor
0.6
881
Tumor
0.6
545
Tumor
0.6
483
Tumor
0.6
957
Tumor
0.6
951
Tumor
0.6
937
Tumor
0.6
697
Tumor
0.5
285
Tumor
0.5
635
Tumor
0.5
823
Tumor
0.5
327
Tumor
0.5
535
Tumor
0.5
427
Tumor
0.5
536
Normal
0.5
131
Tumor
0.5
967
Tumor
0.5
147
Tumor
0.5
343
Tumor
0.4
221
Tumor
0.4
171
Tumor
0.4
471
Tumor
0.4
387
Tumor
0.4
1021
Tumor
0.4
721
Tumor
0.4
1031
Tumor
0.4
615
Tumor
0.4
477
Tumor
0.4
963
Tumor
0.4
271
Tumor
0.4
445
Tumor
0.4
785
Tumor
0.4
341
Tumor
0.4
777
Tumor
0.4
223
Tumor
0.4
123
Tumor
0.4
112
Tumor
0.4
211
Tumor
0.4
191
Tumor
0.4
713
Tumor
0.4
447
Tumor
0.4
715
Tumor
0.4
361
Tumor
0.3
815
Tumor
0.3
557
Tumor
0.3
277
Tumor
0.3
727
Tumor
0.3
661
Tumor
0.3
227
Tumor
0.3
331
Tumor
0.3
977
Tumor
0.3
213
Tumor
0.3
135
Tumor
0.3
492
Normal
0.3
567
Tumor
0.3
127
Tumor
0.3
463
Tumor
0.3
283
Tumor
0.3
393
Tumor
0.3
923
Tumor
0.3
524
Normal
0.3
817
Tumor
0.3
257
Tumor
0.3
421
Tumor
0.3
917
Tumor
0.3
487
Tumor
0.3
1045
Tumor
0.3
185
Tumor
0.2
537
Tumor
0.2
313
Tumor
0.2
641
Tumor
0.2
467
Tumor
0.2
873
Tumor
0.2
925
Tumor
0.2
425
Tumor
0.2
814
Normal
0.2
525
Tumor
0.2
161
Tumor
0.2
493
Tumor
0.2
443
Tumor
0.2
383
Tumor
0.2
665
Tumor
0.2
915
Tumor
0.2
573
Tumor
0.2
312
Normal
0.2
1027
Tumor
0.2
385
Tumor
0.2
953
Tumor
0.2
187
Tumor
0.2
411
Tumor
0.2
186
Normal
0.2
192
Normal
0.2
671
Tumor
0.1
355
Tumor
0.1
538
Normal
0.1
883
Tumor
0.1
172
Normal
0.1
415
Tumor
0.1
344
Normal
0.1
861
Tumor
0.1
571
Tumor
0.1
913
Tumor
0.1
455
Tumor
0.1
391
Tumor
0.1
431
Tumor
0.1
195
Tumor
0.1
968
Normal
0.1
755
Tumor
0.1
217
Tumor
0.1
563
Tumor
0.1
513
Tumor
0.1
686
Normal
0.1
952
Normal
0.1
723
Tumor
0.0
162
Normal
0.0
278
Normal
0.0
857
Tumor
0.0
1028
Normal
0.0
516
Normal
0.0
778
Normal
0.0
148
Normal
0.0
554
Normal
0.0
395
Tumor
0.0
574
Normal
0.0
231
Tumor
0.0
413
Tumor
0.0
311
Tumor
0.0
488
Normal
0.0
685
Tumor
0.0
924
Normal
0.0
435
Tumor
0.0
218
Normal
0.0
617
Tumor
0.0
124
Normal
0.0
478
Normal
0.0
451
Tumor
0.0
572
Normal
0.0
546
Normal
0.0
738
Normal
0.0
386
Normal
0.0
314
Normal
0.0
392
Normal
0.0
877
Tumor
0.0
357
Tumor
0.0
444
Normal
0.0
188
Normal
0.0
491
Tumor
0.0
376
Normal
0.0
728
Normal
0.0
297
Tumor
0.0
494
Normal
0.0
744
Normal
0.0
966
Normal
0.0
696
Normal
0.0
448
Normal
0.0
958
Normal
-0.1
498
Normal
-0.1
332
Normal
-0.1
724
Normal
-0.1
1044
Normal
-0.1
558
Normal
-0.1
534
Normal
-0.1
526
Normal
-0.1
954
Normal
-0.1
878
Normal
-0.1
368
Normal
-0.1
268
Normal
-0.1
916
Normal
-0.1
497
Tumor
-0.1
1041
Tumor
-0.1
474
Normal
-0.1
412
Normal
-0.1
943
Tumor
-0.1
564
Normal
-0.1
396
Normal
-0.1
666
Normal
-0.1
816
Normal
-0.1
434
Normal
-0.1
416
Normal
-0.1
1015
Tumor
-0.1
568
Normal
-0.1
342
Normal
-0.1
328
Normal
-0.1
261
Tumor
-0.1
126
Normal
-0.1
394
Normal
-0.1
515
Tumor
-0.1
714
Normal
-0.1
648
Normal
-0.1
742
Normal
-0.1
375
Tumor
-0.1
642
Normal
-0.1
627
Tumor
-0.1
468
Normal
-0.1
955
Tumor
-0.1
113
Tumor
-0.1
698
Normal
-0.1
664
Normal
-0.1
528
Normal
-0.1
1013
Tumor
-0.1
1022
Normal
-0.1
433
Tumor
-0.1
364
Normal
-0.1
984
Normal
-0.1
982
Normal
-0.1
384
Normal
-0.1
461
Tumor
-0.1
672
Normal
-0.1
867
Tumor
-0.1
142
Normal
-0.1
214
Normal
-0.1
298
Normal
-0.1
981
Tumor
-0.2
267
Tumor
-0.2
716
Normal
-0.2
662
Normal
-0.2
145
Tumor
-0.2
141
Tumor
-0.2
484
Normal
-0.2
746
Normal
-0.2
518
Normal
-0.2
874
Normal
-0.2
863
Tumor
-0.2
636
Normal
-0.2
741
Tumor
-0.2
938
Normal
-0.2
452
Normal
-0.2
944
Normal
-0.2
356
Normal
-0.2
456
Normal
-0.2
866
Normal
-0.2
125
Tumor
-0.2
722
Normal
-0.2
138
Normal
-0.2
423
Tumor
-0.2
136
Normal
-0.2
818
Normal
-0.2
1032
Normal
-0.2
284
Normal
-0.2
353
Tumor
-0.2
514
Normal
-0.2
232
Normal
-0.2
354
Normal
-0.2
388
Normal
-0.2
865
Tumor
-0.2
228
Normal
-0.2
212
Normal
-0.2
976
Normal
-0.2
422
Normal
-0.2
114
Normal
-0.2
352
Normal
-0.2
663
Tumor
-0.2
918
Normal
-0.2
618
Normal
-0.2
1014
Normal
-0.2
852
Normal
-0.2
358
Normal
-0.2
351
Tumor
-0.2
864
Normal
-0.2
365
Tumor
-0.2
262
Normal
-0.2
911
Tumor
-0.3
466
Normal
-0.3
446
Normal
-0.3
366
Normal
-0.3
695
Tumor
-0.3
258
Normal
-0.3
272
Normal
-0.3
137
Tumor
-0.3
426
Normal
-0.3
436
Normal
-0.3
146
Normal
-0.3
824
Normal
-0.3
914
Normal
-0.3
978
Normal
-0.3
224
Normal
-0.3
432
Normal
-0.3
956
Normal
-0.3
132
Normal
-0.3
472
Normal
-0.3
1046
Normal
-0.3
222
Normal
-0.3
128
Normal
-0.3
743
Tumor
-0.3
286
Normal
-0.3
882
Normal
-0.3
1026
Normal
-0.3
1016
Normal
-0.3
464
Normal
-0.3
628
Normal
-0.4
111
Normal
-0.4
964
Normal
-0.4
922
Normal
-0.4
428
Normal
-0.4
481
Tumor
-0.4
868
Normal
-0.4
616
Normal
-0.4
196
Normal
-0.4
424
Normal
-0.4
462
Normal
-0.4
858
Normal
-0.4
414
Normal
-0.4
362
Normal
-0.4
912
Normal
-0.4
884
Normal
-0.4
465
Tumor
-0.4
786
Normal
-0.5
756
Normal
-0.5
862
Normal
-0.5
1042
Normal
-0.5
926
Normal
-0.5
482
Normal
-0.6
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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
