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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.
PICALM 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
37.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
146.9
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
125.3
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
122.9
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
111.0
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
105.8
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
103.6
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
102.1
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
100.6
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
99.5
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
99.0
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
95.9
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
89.3
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
88.2
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
86.3
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
84.8
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
83.0
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
82.7
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
82.1
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
74.2
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
71.9
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
71.8
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
68.6
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
67.9
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
67.5
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
67.5
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
66.9
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
66.5
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
66.4
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
65.5
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
65.1
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
65.0
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
64.9
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
64.8
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
64.5
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
64.4
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
63.7
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
63.6
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
62.9
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
62.4
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
61.8
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
61.6
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
61.6
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
60.3
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
59.7
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
59.7
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
59.1
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
59.0
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
58.8
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
58.6
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
58.1
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
57.8
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
57.6
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
57.6
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
57.3
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
57.0
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
56.8
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
56.8
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
56.7
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
56.6
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
56.4
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
56.1
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
55.8
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
55.5
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
55.3
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
55.2
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
55.0
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
54.9
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
54.7
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
54.4
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
54.2
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
54.2
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
53.5
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
53.3
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
53.0
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
52.6
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
52.5
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
52.1
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
51.6
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
51.6
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
51.2
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
51.0
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
50.6
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
50.4
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
50.2
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
50.2
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
49.4
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
49.2
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
48.9
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
48.9
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
48.8
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
48.6
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
48.6
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
48.5
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
48.4
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
48.4
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
48.4
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
47.9
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
47.7
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
47.2
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
47.2
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
46.7
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
46.6
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
46.4
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
46.3
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
46.2
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
45.9
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
45.9
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
45.8
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
45.8
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
45.7
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
45.4
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
45.1
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
44.9
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
44.5
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
44.4
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
44.0
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
44.0
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
44.0
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
43.7
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
43.6
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
43.2
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
43.0
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
42.6
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
42.6
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
42.0
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
42.0
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
41.6
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
41.5
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
41.2
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
40.9
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
40.9
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
40.7
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
40.0
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
39.8
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
39.8
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
39.5
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
39.4
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
39.3
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
39.2
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
39.1
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
39.1
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
38.9
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
38.8
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
38.7
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
38.7
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
38.3
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
38.3
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
38.2
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
38.2
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
38.0
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
37.8
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
37.8
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
37.5
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
37.3
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
37.1
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
37.0
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
37.0
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
36.9
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
36.8
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
36.6
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
36.6
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
36.1
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
35.9
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
35.8
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
35.7
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
35.4
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
35.3
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
35.1
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
34.9
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
34.9
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
34.8
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
34.8
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
34.8
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
34.8
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
34.8
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
34.6
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
34.3
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
34.3
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
34.3
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
34.2
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
34.2
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
34.2
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
34.0
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
33.8
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
33.6
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
33.6
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
33.6
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
33.6
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
33.4
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
33.0
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
32.9
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
32.8
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
32.8
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
32.8
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
32.5
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
31.9
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
31.7
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
31.7
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
31.6
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
31.5
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
31.3
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
31.3
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
31.2
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
31.1
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
31.1
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
31.1
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
30.9
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
30.9
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
30.7
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
30.7
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
30.3
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
30.3
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
30.2
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
30.0
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
29.9
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
29.9
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
29.8
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
29.7
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
29.6
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
29.6
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
29.3
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
29.3
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
28.9
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
28.6
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
28.5
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
28.4
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
28.3
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
28.2
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
28.1
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
28.0
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
28.0
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
27.9
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
27.8
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
27.5
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
27.4
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
27.4
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
27.2
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
26.7
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
26.7
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
26.5
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
26.4
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
26.4
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
26.3
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
26.3
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
26.3
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
26.0
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
25.9
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
25.8
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
25.7
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
25.6
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
25.5
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
25.4
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
25.3
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
25.2
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
24.8
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
24.7
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
24.7
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
24.6
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
24.4
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
24.2
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
24.0
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
24.0
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
23.9
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
23.6
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
23.6
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
23.5
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
23.5
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
23.4
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
23.3
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
23.3
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
22.9
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
22.8
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
22.7
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
22.7
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
22.3
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
22.0
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
21.8
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
21.8
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
21.6
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
21.5
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
21.4
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
21.2
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
20.9
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
20.7
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
20.7
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
20.6
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
20.5
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
20.2
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
20.1
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
20.1
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
20.1
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
19.4
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
19.3
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
19.2
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
19.1
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
19.0
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
18.8
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
18.7
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
18.7
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
18.1
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
18.1
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
18.0
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
17.9
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
17.9
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
17.8
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
17.5
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
17.5
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
17.4
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
17.3
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
17.1
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
17.0
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
17.0
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
16.8
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
16.2
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
16.1
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
16.1
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
16.0
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
15.5
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
15.4
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
15.2
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
15.2
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
15.1
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
15.0
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
15.0
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
14.9
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
14.6
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
14.4
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
14.3
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
14.0
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
13.9
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
13.8
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
13.8
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
13.7
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
13.6
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
13.3
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
13.1
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
13.0
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
12.7
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
12.1
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
11.6
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
11.6
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
11.4
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
11.2
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
11.1
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
11.0
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
10.9
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
10.7
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
10.2
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
9.9
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
9.8
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
9.8
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
9.5
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
8.8
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
8.8
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
8.6
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
8.4
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
7.7
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
7.3
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
7.0
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
7.0
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
5.1
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 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.
PICALM 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
46.1
Number of samples
231
Samples
Sample
Description
TPM
DO45283
0 years, male, NA, stage:3, alive, 510 days
156.1
DO23523
0 years, male, NA, stage:3, alive, 1080 days
104.2
DO23547
0 years, male, NA, stage:1, alive, 1020 days
98.0
DO45249
0 years, male, NA, stage:1, alive, 630 days
94.0
DO48720
0 years, female, NA, stage:2, alive, 570 days
93.2
DO45277
0 years, male, NA, stage:3, alive, 600 days
92.8
DO45217
0 years, female, NA, stage:3, dead, 270 days
92.6
DO45119
0 years, male, NA, stage:3, dead, 510 days
91.8
DO45279
0 years, male, NA, stage:3, alive, 1290 days
88.1
DO45205
0 years, female, NA, stage:2, dead, 90 days
84.5
DO45189
0 years, female, NA, stage:2, alive, 1200 days
83.6
DO45303
0 years, female, NA, stage:3, alive, 990 days
80.8
DO23513
0 years, male, NA, stage:3, alive, 1200 days
78.6
DO45185
0 years, male, NA, stage:2, alive, 600 days
76.0
DO45245
0 years, female, NA, stage:2, dead, 240 days
74.2
DO50800
0 years, male, NA, stage:2, alive, 510 days
73.8
DO45273
0 years, male, NA, stage:2, alive, 480 days
73.4
DO45231
0 years, male, NA, stage:2, alive, 930 days
73.3
DO50829
0 years, male, NA, stage:3, alive, 570 days
72.9
DO45145
0 years, male, NA, stage:3, dead, 60 days
72.3
DO45139
0 years, male, NA, stage:3, alive, 1320 days
70.9
DO45243
0 years, female, NA, stage:3, alive, 930 days
70.8
DO45227
0 years, female, NA, stage:2, alive, 1020 days
69.9
DO45219
0 years, male, NA, stage:2, alive, 1080 days
69.8
DO45155
0 years, male, NA, stage:2, alive, 2160 days
69.4
DO45197
0 years, male, NA, stage:2, alive, 1170 days
68.7
DO23530
0 years, male, NA, stage:4, dead, 180 days
67.8
DO23535
0 years, male, NA, stage:1, alive, 960 days
67.7
DO45307
0 years, female, NA, stage:4, dead, 240 days
67.7
DO45301
0 years, male, NA, stage:2, dead, 1440 days
67.7
DO45135
0 years, male, NA, stage:1, alive, 1410 days
66.3
DO45275
0 years, male, NA, stage:3, dead, 10 days
66.1
DO45305
0 years, male, NA, stage:4, alive, 300 days
65.8
DO45213
0 years, male, NA, stage:1, alive, 1200 days
65.8
DO45239
0 years, male, NA, stage:2, alive, 870 days
64.6
DO48733
0 years, male, NA, stage:2, alive, 600 days
64.6
DO48728
0 years, female, NA, stage:2, alive, 150 days
64.2
DO45223
0 years, male, NA, stage:4, alive, 1020 days
64.1
DO48732
0 years, male, NA, stage:3, alive, 630 days
64.1
DO45103
0 years, male, NA, stage:3, alive, 450 days
63.7
DO45203
0 years, female, NA, stage:2, alive, 1170 days
62.9
DO48712
0 years, male, NA, stage:2, alive, 810 days
62.8
DO45287
0 years, male, NA, stage:1, alive, 390 days
62.6
DO45141
0 years, male, NA, stage:2, alive, 1320 days
62.4
DO45247
0 years, female, NA, stage:2, alive, 210 days
61.7
DO45157
0 years, male, NA, stage:2, alive, 1980 days
61.5
DO23524
0 years, female, NA, stage:2, alive, 1050 days
60.5
DO45259
0 years, male, NA, stage:3, alive, 330 days
59.8
DO50855
0 years, male, NA, stage:2, alive, 570 days
59.2
DO50778
0 years, male, NA, stage:4, alive, 630 days
59.0
DO45253
0 years, male, NA, stage:2, alive, 870 days
58.6
DO45251
0 years, female, NA, stage:2, alive, 900 days
58.2
DO23510
0 years, female, NA, stage:2, alive, 870 days
57.5
DO45137
0 years, male, NA, stage:1, alive, 1320 days
56.5
DO45233
0 years, male, NA, stage:3, alive, 900 days
56.5
DO50832
0 years, male, NA, stage:3, alive, 90 days
56.4
DO45131
0 years, male, NA, stage:4, dead, 360 days
56.1
DO23546
0 years, male, NA, stage:2, alive, 1050 days
55.9
DO45299
0 years, female, NA, stage:1, alive, 1440 days
55.3
DO45165
0 years, male, NA, stage:2, alive, 690 days
55.3
DO23526
0 years, male, NA, stage:3, alive, 1050 days
54.7
DO45127
0 years, male, NA, stage:3, dead, 420 days
54.7
DO23552
0 years, female, NA, stage:1, alive, 810 days
53.6
DO23515
0 years, male, NA, stage:2, alive, 1230 days
53.6
DO50850
0 years, male, NA, stage:3, alive, 720 days
53.4
DO48757
0 years, female, NA, stage:3, alive, 480 days
52.6
DO45267
0 years, male, NA, stage:3, dead, 570 days
52.5
DO50774
0 years, female, NA, stage:2, alive, 720 days
52.4
DO45177
0 years, female, NA, stage:3, alive, 1260 days
52.0
DO48704
0 years, female, NA, stage:3, alive, 750 days
51.9
DO45121
0 years, male, NA, stage:3, alive, 1530 days
51.6
DO45297
0 years, female, NA, stage:4, dead, 1260 days
51.5
DO45107
0 years, female, NA, stage:2, alive, 1710 days
51.3
DO23542
0 years, male, NA, stage:3, alive, 960 days
51.1
DO45092
0 years, male, NA, stage:4, dead, 1200 days
50.8
DO45265
0 years, male, NA, stage:3, alive, 1020 days
50.2
DO50808
0 years, male, NA, stage:2, alive, 570 days
50.0
DO23512
0 years, male, NA, stage:1, alive, 1260 days
49.4
DO23514
0 years, male, NA, stage:2, alive, 1290 days
49.1
DO45113
0 years, male, NA, stage:3, alive, 1560 days
48.8
DO45179
0 years, female, NA, stage:2, alive, 600 days
48.8
DO48717
0 years, male, NA, stage:4, dead, 180 days
48.6
DO50799
0 years, female, NA, stage:2, alive, 540 days
48.6
DO45201
0 years, male, NA, stage:1, alive, 900 days
48.4
DO45209
0 years, male, NA, stage:4, alive, 1350 days
48.3
DO45211
0 years, male, NA, stage:3, alive, 240 days
48.2
DO48730
0 years, female, NA, stage:2, alive, 630 days
48.2
DO23549
0 years, male, NA, stage:3, alive, 990 days
48.0
DO48743
0 years, female, NA, stage:2, alive, 570 days
47.8
DO45153
0 years, female, NA, stage:2, alive, 1380 days
47.5
DO45281
0 years, male, NA, stage:4, alive, 750 days
47.2
DO45187
0 years, female, NA, stage:1, alive, 1260 days
46.7
DO48736
0 years, female, NA, stage:1, alive, 600 days
46.3
DO45221
0 years, female, NA, stage:4, dead, 390 days
46.2
DO45235
0 years, female, NA, stage:1, alive, 900 days
46.1
DO50787
0 years, male, NA, stage:3, alive, 480 days
45.9
DO45215
0 years, male, NA, stage:2, alive, 1170 days
45.8
DO45257
0 years, male, NA, stage:3, alive, 810 days
45.7
DO45261
0 years, male, NA, stage:3, alive, 990 days
45.6
DO48746
0 years, male, NA, stage:3, alive, 570 days
45.3
DO45129
0 years, male, NA, stage:3, alive, 1470 days
45.2
DO50791
0 years, female, NA, stage:1, dead, 480 days
45.1
DO50815
0 years, male, NA, stage:3, alive, 150 days
44.9
DO50793
0 years, male, NA, stage:4, alive, 540 days
44.8
DO45191
0 years, female, NA, stage:2, alive, 1200 days
44.7
DO48716
0 years, male, NA, stage:2, alive, 720 days
44.7
DO23540
0 years, male, NA, stage:1, alive, 750 days
44.6
DO50820
0 years, female, NA, stage:3, alive, 510 days
44.6
DO45225
0 years, male, NA, stage:1, alive, 1050 days
44.5
DO48761
0 years, male, NA, stage:2, alive, 870 days
44.2
DO23537
0 years, male, NA, stage:2, dead, 900 days
44.2
DO50798
0 years, male, NA, stage:3, dead, 30 days
44.2
DO45159
0 years, male, NA, stage:3, alive, 1470 days
43.6
DO48672
0 years, male, NA, stage:2, alive, 450 days
43.5
DO45255
0 years, male, NA, stage:3, alive, 720 days
42.7
DO45207
0 years, male, NA, stage:1, alive, 1050 days
42.7
DO50807
0 years, male, NA, stage:1, alive, 540 days
42.6
DO23541
0 years, male, NA, stage:2, alive, 930 days
42.4
DO23551
0 years, male, NA, stage:3, dead, 150 days
42.1
DO50809
0 years, male, NA, stage:3, dead, 720 days
42.0
DO45263
0 years, male, NA, stage:3, dead, 270 days
41.9
DO23532
0 years, female, NA, stage:1, alive, 960 days
41.8
DO23536
0 years, male, NA, stage:2, alive, 930 days
41.8
DO23518
0 years, male, NA, stage:2, alive, 1320 days
41.8
DO50806
0 years, male, NA, stage:4, alive, 540 days
41.7
DO48700
0 years, female, NA, stage:2, alive, 810 days
41.6
DO23519
0 years, male, NA, stage:3, alive, 630 days
41.3
DO50789
0 years, female, NA, stage:2, alive, 570 days
41.0
DO50803
0 years, female, NA, stage:1, alive, 540 days
40.9
DO45171
0 years, male, NA, stage:3, alive, 600 days
40.3
DO45099
0 years, male, NA, stage:3, alive, 1590 days
40.3
DO48701
0 years, male, NA, stage:2, alive, 780 days
40.1
DO45143
0 years, male, NA, stage:3, alive, 1290 days
39.2
DO50840
0 years, male, NA, stage:2, alive, 330 days
39.1
DO45101
0 years, male, NA, stage:2, alive, 1680 days
39.0
DO48747
0 years, male, NA, stage:3, alive, 540 days
38.6
DO45149
0 years, female, NA, stage:2, alive, 1260 days
38.4
DO45181
0 years, female, NA, stage:2, alive, 1200 days
38.4
DO45091
0 years, male, NA, stage:2, dead, 1320 days
37.9
DO45289
0 years, female, NA, stage:3, alive, 360 days
37.6
DO45183
0 years, female, NA, stage:2, dead, 570 days
37.6
DO45285
0 years, male, NA, stage:3, alive, 480 days
37.5
DO23527
0 years, male, NA, stage:1, alive, 1050 days
37.3
DO23534
0 years, male, NA, stage:2, alive, 840 days
37.3
DO48682
0 years, female, NA, stage:3, dead, 120 days
37.3
DO48725
0 years, male, NA, stage:1, alive, 780 days
37.2
DO45173
0 years, male, NA, stage:3, alive, 1170 days
37.2
DO23529
0 years, male, NA, stage:4, alive, 930 days
37.1
DO45123
0 years, female, NA, stage:2, dead, 570 days
37.0
DO50802
0 years, male, NA, stage:2, alive, 930 days
36.6
DO227643
0 years, male, NA, stage:2, alive, 1260 days
36.5
DO23531
0 years, female, NA, stage:3, alive, 900 days
36.5
DO50813
0 years, male, NA, stage:2, alive, 420 days
36.1
DO45105
0 years, male, NA, stage:1, alive, 1680 days
35.7
DO227801
0 years, female, NA, stage:1, alive, 660 days
35.7
DO50819
0 years, female, NA, stage:2, alive, 510 days
35.5
DO48697
0 years, female, NA, stage:2, dead, 810 days
34.2
DO50825
0 years, male, NA, stage:2, alive, 390 days
34.2
DO45167
0 years, male, NA, stage:2, dead, 1440 days
34.0
DO23539
0 years, male, NA, stage:1, alive, 1110 days
33.9
DO50817
0 years, male, NA, stage:2, alive, 390 days
33.7
DO50857
0 years, male, NA, stage:2, alive, 210 days
33.7
DO50805
0 years, male, NA, stage:2, alive, 690 days
33.6
DO45229
0 years, male, NA, stage:1, alive, 990 days
33.6
DO48695
0 years, male, NA, stage:2, alive, 720 days
33.5
DO45094
0 years, male, NA, stage:3, alive, 1650 days
33.3
DO23550
0 years, male, NA, stage:1, alive, 990 days
33.2
DO45125
0 years, male, NA, stage:3, alive, 1680 days
32.7
DO48721
0 years, female, NA, stage:1, alive, 900 days
32.7
DO23528
0 years, female, NA, stage:2, alive, 1020 days
32.6
DO23538
0 years, male, NA, stage:2, alive, 450 days
32.5
DO48737
0 years, male, NA, stage:1, alive, 720 days
32.5
DO50816
0 years, male, NA, stage:2, alive, 390 days
32.4
DO48677
0 years, male, NA, stage:3, alive, 1140 days
32.2
DO48751
0 years, male, NA, stage:2, dead, 480 days
32.2
DO45193
0 years, female, NA, stage:4, dead, 120 days
31.9
DO48679
0 years, male, NA, stage:2, alive, 1200 days
31.9
DO45096
0 years, male, NA, stage:2, dead, 1290 days
31.8
DO23525
0 years, male, NA, stage:4, alive, 1050 days
31.3
DO48742
0 years, male, NA, stage:2, alive, 600 days
31.3
DO45133
0 years, male, NA, stage:3, dead, 660 days
31.0
DO45163
0 years, male, NA, stage:2, alive, 960 days
30.9
DO45095
0 years, male, NA, stage:2, alive, 1620 days
30.8
DO45241
0 years, male, NA, stage:1, alive, 1080 days
30.8
DO45195
0 years, male, NA, stage:1, alive, 390 days
30.6
DO50845
0 years, male, NA, stage:3, alive, 210 days
30.5
DO45169
0 years, male, NA, stage:3, alive, 1350 days
30.5
DO50776
0 years, male, NA, stage:1, alive, 690 days
30.4
DO23533
0 years, male, NA, stage:2, alive, 900 days
30.4
DO45093
0 years, male, NA, stage:2, dead, 720 days
30.0
DO48759
0 years, male, NA, stage:3, alive, 720 days
29.9
DO45117
0 years, female, NA, stage:2, dead, 1110 days
29.8
DO48723
0 years, male, NA, stage:1, alive, 600 days
29.8
DO23509
0 years, male, NA, stage:3, dead, 780 days
29.7
DO45269
0 years, male, NA, stage:3, alive, 750 days
29.6
DO23543
0 years, male, NA, stage:2, alive, 1020 days
29.5
DO23544
0 years, male, NA, stage:2, alive, 960 days
29.4
DO23517
0 years, male, NA, stage:2, alive, 1200 days
29.2
DO23545
0 years, male, NA, stage:2, dead, 570 days
29.2
DO50804
0 years, male, NA, stage:2, alive, 720 days
29.1
DO45161
0 years, male, NA, stage:2, dead, 540 days
28.9
DO50818
0 years, male, NA, stage:2, alive, 510 days
28.7
DO45097
0 years, male, NA, stage:3, alive, 1620 days
28.3
DO23521
0 years, male, NA, stage:3, alive, 1110 days
28.2
DO48706
0 years, male, NA, stage:2, alive, 870 days
28.2
DO45109
0 years, male, NA, stage:2, alive, 1590 days
27.9
DO45237
0 years, male, NA, stage:2, alive, 900 days
27.9
DO50811
0 years, male, NA, stage:1, alive, 450 days
27.7
DO48760
0 years, female, NA, stage:2, alive, 690 days
27.4
DO48719
0 years, male, NA, stage:2, alive, 690 days
27.4
DO23548
0 years, female, NA, stage:1, alive, 840 days
26.5
DO50783
0 years, male, NA, stage:3, alive, 480 days
25.7
DO45175
0 years, male, NA, stage:2, alive, 1140 days
25.6
DO48727
0 years, female, NA, stage:2, dead, 390 days
25.6
DO50859
0 years, male, NA, stage:2, alive, 180 days
24.8
DO23508
0 years, female, NA, stage:2, alive, 390 days
24.6
DO50844
0 years, male, NA, stage:4, alive, 300 days
24.4
DO48715
0 years, female, NA, stage:2, dead, 690 days
23.6
DO45115
0 years, male, NA, stage:2, alive, 840 days
22.9
DO48681
0 years, male, NA, stage:2, alive, 900 days
22.4
DO23516
0 years, male, NA, stage:3, dead, 20 days
22.1
DO45111
0 years, male, NA, stage:2, alive, 1590 days
21.9
DO50822
0 years, male, NA, stage:2, alive, 510 days
21.3
DO50814
0 years, male, NA, stage:3, alive, 420 days
21.0
DO48674
0 years, male, NA, stage:2, alive, 1260 days
20.3
DO45199
0 years, female, NA, stage:2, alive, 1350 days
20.1
DO48741
0 years, male, NA, stage:3, alive, 240 days
19.6
DO50839
0 years, female, NA, stage:3, alive, 330 days
19.5
DO23511
0 years, female, NA, stage:3, dead, 180 days
19.2
DO50785
0 years, male, NA, stage:4, dead, 90 days
18.7
DO48693
0 years, male, NA, stage:2, alive, 900 days
18.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
863
Tumor
0.5
627
Tumor
0.4
311
Tumor
0.4
824
Normal
0.4
636
Normal
0.4
528
Normal
0.4
421
Tumor
0.4
1027
Tumor
0.3
434
Normal
0.3
618
Normal
0.3
444
Normal
0.3
513
Tumor
0.3
628
Normal
0.3
461
Tumor
0.3
672
Normal
0.3
368
Normal
0.3
384
Normal
0.3
563
Tumor
0.3
882
Normal
0.3
498
Normal
0.3
786
Normal
0.3
912
Normal
0.3
818
Normal
0.3
816
Normal
0.3
124
Normal
0.3
344
Normal
0.3
376
Normal
0.3
462
Normal
0.3
533
Tumor
0.3
664
Normal
0.3
914
Normal
0.3
111
Normal
0.3
648
Normal
0.3
642
Normal
0.2
436
Normal
0.2
172
Normal
0.2
395
Tumor
0.2
778
Normal
0.2
148
Normal
0.2
356
Normal
0.2
136
Normal
0.2
362
Normal
0.2
954
Normal
0.2
186
Normal
0.2
425
Tumor
0.2
484
Normal
0.2
113
Tumor
0.2
851
Tumor
0.2
884
Normal
0.2
868
Normal
0.2
126
Normal
0.2
131
Tumor
0.2
188
Normal
0.2
864
Normal
0.2
1028
Normal
0.2
472
Normal
0.2
686
Normal
0.2
546
Normal
0.2
944
Normal
0.2
662
Normal
0.2
467
Tumor
0.2
866
Normal
0.2
1045
Tumor
0.2
232
Normal
0.2
716
Normal
0.2
641
Tumor
0.2
564
Normal
0.2
432
Normal
0.2
426
Normal
0.2
714
Normal
0.2
138
Normal
0.2
852
Normal
0.2
862
Normal
0.2
494
Normal
0.2
574
Normal
0.2
214
Normal
0.2
817
Tumor
0.2
756
Normal
0.2
984
Normal
0.2
873
Tumor
0.2
466
Normal
0.2
162
Normal
0.2
744
Normal
0.2
728
Normal
0.2
222
Normal
0.2
722
Normal
0.2
146
Normal
0.2
874
Normal
0.2
474
Normal
0.2
396
Normal
0.2
128
Normal
0.2
464
Normal
0.2
696
Normal
0.2
746
Normal
0.2
465
Tumor
0.2
858
Normal
0.2
185
Tumor
0.2
218
Normal
0.2
742
Normal
0.2
878
Normal
0.2
554
Normal
0.2
298
Normal
0.2
446
Normal
0.2
187
Tumor
0.2
352
Normal
0.2
738
Normal
0.2
416
Normal
0.2
192
Normal
0.2
413
Tumor
0.2
332
Normal
0.2
534
Normal
0.2
286
Normal
0.2
354
Normal
0.2
114
Normal
0.2
386
Normal
0.2
388
Normal
0.2
433
Tumor
0.2
392
Normal
0.2
145
Tumor
0.2
524
Normal
0.2
268
Normal
0.2
132
Normal
0.2
492
Normal
0.2
196
Normal
0.2
422
Normal
0.2
526
Normal
0.2
456
Normal
0.2
572
Normal
0.2
538
Normal
0.1
224
Normal
0.1
424
Normal
0.1
394
Normal
0.1
518
Normal
0.1
127
Tumor
0.1
297
Tumor
0.1
814
Normal
0.1
488
Normal
0.1
666
Normal
0.1
278
Normal
0.1
616
Normal
0.1
366
Normal
0.1
314
Normal
0.1
414
Normal
0.1
142
Normal
0.1
284
Normal
0.1
922
Normal
0.1
365
Tumor
0.1
228
Normal
0.1
968
Normal
0.1
568
Normal
0.1
1042
Normal
0.1
262
Normal
0.1
516
Normal
0.1
952
Normal
0.1
558
Normal
0.1
452
Normal
0.1
1016
Normal
0.1
536
Normal
0.1
468
Normal
0.1
364
Normal
0.1
1044
Normal
0.1
777
Tumor
0.1
412
Normal
0.1
358
Normal
0.1
867
Tumor
0.1
135
Tumor
0.1
125
Tumor
0.1
363
Tumor
0.1
482
Normal
0.1
137
Tumor
0.1
272
Normal
0.1
195
Tumor
0.1
1022
Normal
0.1
881
Tumor
0.1
391
Tumor
0.1
328
Normal
0.1
514
Normal
0.1
477
Tumor
0.1
217
Tumor
0.1
258
Normal
0.1
147
Tumor
0.1
448
Normal
0.1
1046
Normal
0.1
958
Normal
0.1
257
Tumor
0.1
617
Tumor
0.1
913
Tumor
0.1
213
Tumor
0.1
423
Tumor
0.1
918
Normal
0.1
964
Normal
0.1
455
Tumor
0.1
1026
Normal
0.1
938
Normal
0.1
223
Tumor
0.1
393
Tumor
0.1
277
Tumor
0.1
312
Normal
0.1
553
Tumor
0.1
515
Tumor
0.1
745
Tumor
0.0
723
Tumor
0.0
478
Normal
0.0
926
Normal
0.0
1032
Normal
0.0
327
Tumor
0.0
415
Tumor
0.0
916
Normal
0.0
967
Tumor
0.0
481
Tumor
0.0
813
Tumor
0.0
283
Tumor
0.0
665
Tumor
0.0
715
Tumor
0.0
955
Tumor
0.0
261
Tumor
0.0
721
Tumor
0.0
471
Tumor
0.0
698
Normal
0.0
271
Tumor
0.0
435
Tumor
0.0
212
Normal
0.0
615
Tumor
0.0
956
Normal
0.0
661
Tumor
0.0
342
Normal
0.0
428
Normal
0.0
191
Tumor
0.0
1014
Normal
0.0
343
Tumor
0.0
375
Tumor
0.0
713
Tumor
0.0
517
Tumor
0.0
976
Normal
0.0
857
Tumor
0.0
1021
Tumor
0.0
966
Normal
0.0
463
Tumor
0.0
924
Normal
0.0
141
Tumor
0.0
525
Tumor
0.0
447
Tumor
0.0
943
Tumor
0.0
557
Tumor
-0.1
743
Tumor
-0.1
112
Tumor
-0.1
353
Tumor
-0.1
861
Tumor
-0.1
1015
Tumor
-0.1
493
Tumor
-0.1
883
Tumor
-0.1
911
Tumor
-0.1
755
Tumor
-0.1
975
Tumor
-0.1
491
Tumor
-0.1
523
Tumor
-0.1
331
Tumor
-0.1
211
Tumor
-0.1
917
Tumor
-0.1
161
Tumor
-0.1
978
Normal
-0.1
285
Tumor
-0.1
1041
Tumor
-0.1
545
Tumor
-0.1
385
Tumor
-0.1
741
Tumor
-0.1
357
Tumor
-0.1
982
Normal
-0.1
451
Tumor
-0.1
573
Tumor
-0.1
537
Tumor
-0.1
685
Tumor
-0.1
483
Tumor
-0.1
443
Tumor
-0.1
921
Tumor
-0.2
383
Tumor
-0.2
785
Tumor
-0.2
313
Tumor
-0.2
695
Tumor
-0.2
815
Tumor
-0.2
431
Tumor
-0.2
727
Tumor
-0.2
361
Tumor
-0.2
823
Tumor
-0.2
387
Tumor
-0.2
567
Tumor
-0.2
977
Tumor
-0.2
427
Tumor
-0.2
221
Tumor
-0.2
1031
Tumor
-0.2
925
Tumor
-0.2
367
Tumor
-0.2
341
Tumor
-0.2
171
Tumor
-0.2
571
Tumor
-0.2
227
Tumor
-0.2
981
Tumor
-0.2
231
Tumor
-0.2
915
Tumor
-0.2
355
Tumor
-0.2
445
Tumor
-0.2
497
Tumor
-0.2
671
Tumor
-0.3
963
Tumor
-0.3
737
Tumor
-0.3
1025
Tumor
-0.3
1043
Tumor
-0.3
663
Tumor
-0.3
865
Tumor
-0.3
267
Tumor
-0.3
411
Tumor
-0.3
953
Tumor
-0.3
724
Normal
-0.3
527
Tumor
-0.3
1013
Tumor
-0.3
877
Tumor
-0.3
923
Tumor
-0.3
951
Tumor
-0.4
487
Tumor
-0.4
937
Tumor
-0.4
123
Tumor
-0.4
983
Tumor
-0.4
647
Tumor
-0.4
697
Tumor
-0.4
957
Tumor
-0.4
473
Tumor
-0.5
535
Tumor
-0.5
635
Tumor
-0.5
965
Tumor
-0.6
351
Tumor
-0.8
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LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
