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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.
CALM1 is potential prognostic, high expression is unfavorable 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
60.9
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
218.6
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
177.0
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
164.7
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
147.9
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
134.4
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
127.8
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
125.9
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
124.0
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
122.1
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
121.5
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
119.7
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
119.5
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
116.9
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
115.9
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
114.4
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
112.7
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
112.6
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
112.5
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
112.5
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
112.3
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
111.7
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
109.7
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
107.4
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
106.5
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
104.6
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
103.4
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
103.3
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
102.7
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
101.8
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
101.1
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
100.8
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
100.5
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
100.4
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
99.1
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
98.7
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
97.6
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
94.9
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
94.6
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
94.5
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
94.1
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
93.6
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
93.4
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
93.3
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
93.3
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
93.1
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
91.4
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
90.8
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
89.6
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
89.4
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
89.2
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
88.7
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
88.5
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
87.8
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
86.9
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
86.8
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
86.6
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
86.2
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
86.2
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
86.2
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
86.2
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
85.6
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
84.9
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
84.6
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
84.6
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
83.5
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
83.0
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
82.9
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
82.3
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
82.0
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
81.6
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
81.2
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
81.0
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
80.9
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
80.7
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
80.1
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
79.8
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
79.6
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
79.0
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
78.7
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
78.6
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
78.2
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
78.0
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
77.8
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
77.7
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
77.4
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
77.2
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
76.6
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
76.5
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
76.3
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
74.9
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
74.9
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
73.8
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
73.6
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
73.5
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
73.4
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
73.4
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
72.5
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
72.1
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
72.0
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
71.4
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
71.2
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
71.0
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
70.9
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
70.6
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
70.5
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
70.2
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
70.2
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
70.0
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
69.4
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
69.0
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
68.9
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
68.6
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
68.6
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
68.4
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
68.2
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
68.0
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
68.0
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
67.3
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
66.9
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
66.7
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
66.6
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
65.9
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
65.9
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
65.6
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
65.5
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
65.3
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
65.0
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
64.5
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
64.3
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
64.2
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
63.8
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
63.2
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
63.2
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
63.0
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
62.8
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
62.8
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
62.6
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
62.4
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
62.1
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
62.0
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
61.7
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
61.4
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
61.3
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
61.0
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
60.9
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
60.9
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
60.9
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
60.8
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
60.8
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
60.7
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
60.6
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
60.4
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
60.3
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
60.2
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
60.1
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
60.0
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
60.0
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
59.9
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
59.7
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
59.4
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
59.2
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
58.9
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
58.7
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
58.4
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
58.1
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
57.8
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
57.8
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
57.5
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
57.4
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
57.2
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
56.9
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
56.7
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
56.5
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
56.4
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
56.4
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
56.2
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
56.2
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
56.1
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
55.9
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
55.8
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
55.8
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
55.5
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
55.3
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
55.2
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
54.9
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
54.8
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
54.7
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
54.7
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
54.5
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
54.2
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
54.2
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
54.1
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
54.1
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
53.8
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
53.7
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
53.6
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
53.4
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
53.2
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
52.8
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
52.8
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
52.8
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
52.7
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
52.7
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
52.6
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
52.3
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
52.3
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
52.3
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
52.2
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
52.0
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
52.0
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
52.0
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
51.8
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
51.6
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
51.3
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
51.1
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
50.9
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
50.8
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
50.7
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
50.6
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
50.4
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
50.3
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
50.2
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
50.1
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
50.1
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
49.8
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
49.6
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
49.6
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
49.4
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
49.4
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
49.2
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
49.0
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
49.0
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
48.9
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
48.9
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
48.8
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
48.8
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
48.7
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
48.4
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
48.2
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
47.7
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
47.4
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
47.4
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
47.2
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
47.0
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
46.9
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
46.8
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
46.8
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
46.4
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
46.4
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
46.2
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
46.1
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
46.1
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
46.1
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
45.9
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
45.7
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
45.7
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
45.6
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
45.5
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
45.5
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
45.0
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
44.9
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
44.8
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
44.7
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
44.7
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
44.5
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
44.3
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
44.1
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
43.9
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
43.8
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
43.6
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
43.0
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
42.8
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
42.6
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
42.2
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
42.1
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
42.1
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
42.0
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
41.9
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
41.5
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
41.2
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
40.9
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
40.9
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
40.8
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
40.3
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
40.2
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
40.1
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
40.1
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
39.9
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
39.8
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
39.8
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
39.5
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
39.5
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
39.5
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
39.4
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
39.2
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
39.2
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
39.1
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
39.1
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
38.5
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
38.4
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
37.9
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
37.7
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
37.6
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
37.4
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
37.4
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
37.3
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
35.7
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
34.8
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
34.7
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
34.6
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
34.6
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
34.5
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
34.2
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
33.9
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
33.9
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
33.8
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
33.7
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
33.4
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
32.4
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
31.8
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
31.4
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
31.3
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
31.0
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
31.0
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
30.7
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
30.6
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
30.5
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
30.5
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
30.1
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
29.9
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
29.2
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
29.1
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
28.5
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
27.8
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
27.7
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
27.5
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
27.1
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
26.8
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
26.5
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
26.3
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
26.2
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
26.1
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
25.2
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
25.2
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
24.8
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
23.9
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
23.8
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
23.6
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
23.5
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
23.2
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
23.0
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
22.9
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
22.7
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
22.3
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
22.0
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
21.5
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
21.1
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
20.5
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
20.5
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
19.5
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 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.
CALM1 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
49.0
Number of samples
231
Samples
Sample
Description
TPM
DO45299
0 years, female, NA, stage:1, alive, 1440 days
134.5
DO45307
0 years, female, NA, stage:4, dead, 240 days
119.3
DO50800
0 years, male, NA, stage:2, alive, 510 days
102.0
DO45287
0 years, male, NA, stage:1, alive, 390 days
98.3
DO23537
0 years, male, NA, stage:2, dead, 900 days
98.1
DO23523
0 years, male, NA, stage:3, alive, 1080 days
93.4
DO45145
0 years, male, NA, stage:3, dead, 60 days
93.0
DO45279
0 years, male, NA, stage:3, alive, 1290 days
87.2
DO23530
0 years, male, NA, stage:4, dead, 180 days
86.5
DO45103
0 years, male, NA, stage:3, alive, 450 days
85.2
DO45155
0 years, male, NA, stage:2, alive, 2160 days
83.5
DO45285
0 years, male, NA, stage:3, alive, 480 days
82.9
DO45249
0 years, male, NA, stage:1, alive, 630 days
82.1
DO50799
0 years, female, NA, stage:2, alive, 540 days
81.6
DO45207
0 years, male, NA, stage:1, alive, 1050 days
81.3
DO48747
0 years, male, NA, stage:3, alive, 540 days
80.4
DO45225
0 years, male, NA, stage:1, alive, 1050 days
80.1
DO48720
0 years, female, NA, stage:2, alive, 570 days
79.7
DO50778
0 years, male, NA, stage:4, alive, 630 days
74.3
DO45189
0 years, female, NA, stage:2, alive, 1200 days
74.3
DO45301
0 years, male, NA, stage:2, dead, 1440 days
74.2
DO48717
0 years, male, NA, stage:4, dead, 180 days
73.9
DO23547
0 years, male, NA, stage:1, alive, 1020 days
72.9
DO23528
0 years, female, NA, stage:2, alive, 1020 days
71.9
DO48697
0 years, female, NA, stage:2, dead, 810 days
71.9
DO48727
0 years, female, NA, stage:2, dead, 390 days
71.9
DO45157
0 years, male, NA, stage:2, alive, 1980 days
71.6
DO45297
0 years, female, NA, stage:4, dead, 1260 days
70.8
DO45211
0 years, male, NA, stage:3, alive, 240 days
70.6
DO45251
0 years, female, NA, stage:2, alive, 900 days
68.5
DO45267
0 years, male, NA, stage:3, dead, 570 days
67.2
DO45097
0 years, male, NA, stage:3, alive, 1620 days
67.2
DO45165
0 years, male, NA, stage:2, alive, 690 days
66.9
DO45095
0 years, male, NA, stage:2, alive, 1620 days
66.8
DO45269
0 years, male, NA, stage:3, alive, 750 days
66.8
DO45253
0 years, male, NA, stage:2, alive, 870 days
66.0
DO45135
0 years, male, NA, stage:1, alive, 1410 days
65.5
DO23531
0 years, female, NA, stage:3, alive, 900 days
65.3
DO48700
0 years, female, NA, stage:2, alive, 810 days
65.1
DO23525
0 years, male, NA, stage:4, alive, 1050 days
65.1
DO45121
0 years, male, NA, stage:3, alive, 1530 days
64.6
DO48736
0 years, female, NA, stage:1, alive, 600 days
64.5
DO45201
0 years, male, NA, stage:1, alive, 900 days
64.0
DO45099
0 years, male, NA, stage:3, alive, 1590 days
63.9
DO45137
0 years, male, NA, stage:1, alive, 1320 days
63.8
DO45217
0 years, female, NA, stage:3, dead, 270 days
62.7
DO45205
0 years, female, NA, stage:2, dead, 90 days
62.5
DO45273
0 years, male, NA, stage:2, alive, 480 days
62.2
DO23519
0 years, male, NA, stage:3, alive, 630 days
61.2
DO45177
0 years, female, NA, stage:3, alive, 1260 days
61.1
DO45277
0 years, male, NA, stage:3, alive, 600 days
60.2
DO23526
0 years, male, NA, stage:3, alive, 1050 days
60.0
DO45223
0 years, male, NA, stage:4, alive, 1020 days
59.9
DO50809
0 years, male, NA, stage:3, dead, 720 days
59.8
DO45139
0 years, male, NA, stage:3, alive, 1320 days
59.5
DO45265
0 years, male, NA, stage:3, alive, 1020 days
58.9
DO45305
0 years, male, NA, stage:4, alive, 300 days
58.5
DO45181
0 years, female, NA, stage:2, alive, 1200 days
58.4
DO45233
0 years, male, NA, stage:3, alive, 900 days
58.1
DO50829
0 years, male, NA, stage:3, alive, 570 days
57.9
DO45289
0 years, female, NA, stage:3, alive, 360 days
57.8
DO45243
0 years, female, NA, stage:3, alive, 930 days
57.3
DO50815
0 years, male, NA, stage:3, alive, 150 days
57.3
DO45119
0 years, male, NA, stage:3, dead, 510 days
57.1
DO45275
0 years, male, NA, stage:3, dead, 10 days
57.0
DO45141
0 years, male, NA, stage:2, alive, 1320 days
56.8
DO48757
0 years, female, NA, stage:3, alive, 480 days
56.6
DO48741
0 years, male, NA, stage:3, alive, 240 days
55.9
DO50807
0 years, male, NA, stage:1, alive, 540 days
55.5
DO45161
0 years, male, NA, stage:2, dead, 540 days
54.7
DO45281
0 years, male, NA, stage:4, alive, 750 days
54.5
DO23516
0 years, male, NA, stage:3, dead, 20 days
54.5
DO45231
0 years, male, NA, stage:2, alive, 930 days
53.0
DO48672
0 years, male, NA, stage:2, alive, 450 days
52.6
DO45187
0 years, female, NA, stage:1, alive, 1260 days
52.4
DO48704
0 years, female, NA, stage:3, alive, 750 days
51.8
DO48751
0 years, male, NA, stage:2, dead, 480 days
51.7
DO48728
0 years, female, NA, stage:2, alive, 150 days
51.5
DO50819
0 years, female, NA, stage:2, alive, 510 days
51.4
DO23535
0 years, male, NA, stage:1, alive, 960 days
51.3
DO48712
0 years, male, NA, stage:2, alive, 810 days
51.0
DO45153
0 years, female, NA, stage:2, alive, 1380 days
50.8
DO50776
0 years, male, NA, stage:1, alive, 690 days
50.7
DO45229
0 years, male, NA, stage:1, alive, 990 days
50.4
DO23550
0 years, male, NA, stage:1, alive, 990 days
50.3
DO45241
0 years, male, NA, stage:1, alive, 1080 days
50.2
DO23538
0 years, male, NA, stage:2, alive, 450 days
49.9
DO45247
0 years, female, NA, stage:2, alive, 210 days
49.2
DO45257
0 years, male, NA, stage:3, alive, 810 days
48.7
DO23552
0 years, female, NA, stage:1, alive, 810 days
48.5
DO48677
0 years, male, NA, stage:3, alive, 1140 days
48.5
DO45093
0 years, male, NA, stage:2, dead, 720 days
48.4
DO50817
0 years, male, NA, stage:2, alive, 390 days
48.3
DO23551
0 years, male, NA, stage:3, dead, 150 days
48.1
DO23512
0 years, male, NA, stage:1, alive, 1260 days
47.8
DO50793
0 years, male, NA, stage:4, alive, 540 days
47.8
DO50774
0 years, female, NA, stage:2, alive, 720 days
47.7
DO45159
0 years, male, NA, stage:3, alive, 1470 days
47.7
DO45109
0 years, male, NA, stage:2, alive, 1590 days
47.3
DO23529
0 years, male, NA, stage:4, alive, 930 days
47.2
DO45261
0 years, male, NA, stage:3, alive, 990 days
47.2
DO45183
0 years, female, NA, stage:2, dead, 570 days
47.2
DO45245
0 years, female, NA, stage:2, dead, 240 days
47.0
DO48674
0 years, male, NA, stage:2, alive, 1260 days
46.9
DO227643
0 years, male, NA, stage:2, alive, 1260 days
46.7
DO45259
0 years, male, NA, stage:3, alive, 330 days
46.4
DO23544
0 years, male, NA, stage:2, alive, 960 days
46.2
DO48760
0 years, female, NA, stage:2, alive, 690 days
46.0
DO50804
0 years, male, NA, stage:2, alive, 720 days
46.0
DO45179
0 years, female, NA, stage:2, alive, 600 days
45.9
DO45235
0 years, female, NA, stage:1, alive, 900 days
45.9
DO45197
0 years, male, NA, stage:2, alive, 1170 days
45.9
DO45263
0 years, male, NA, stage:3, dead, 270 days
45.5
DO45129
0 years, male, NA, stage:3, alive, 1470 days
45.1
DO50855
0 years, male, NA, stage:2, alive, 570 days
45.0
DO23524
0 years, female, NA, stage:2, alive, 1050 days
44.8
DO50811
0 years, male, NA, stage:1, alive, 450 days
44.6
DO50805
0 years, male, NA, stage:2, alive, 690 days
44.5
DO45113
0 years, male, NA, stage:3, alive, 1560 days
44.2
DO45111
0 years, male, NA, stage:2, alive, 1590 days
44.1
DO48759
0 years, male, NA, stage:3, alive, 720 days
44.0
DO45303
0 years, female, NA, stage:3, alive, 990 days
43.9
DO23515
0 years, male, NA, stage:2, alive, 1230 days
43.8
DO45237
0 years, male, NA, stage:2, alive, 900 days
43.8
DO23508
0 years, female, NA, stage:2, alive, 390 days
43.4
DO48719
0 years, male, NA, stage:2, alive, 690 days
43.3
DO48715
0 years, female, NA, stage:2, dead, 690 days
42.9
DO45203
0 years, female, NA, stage:2, alive, 1170 days
42.9
DO50798
0 years, male, NA, stage:3, dead, 30 days
42.8
DO48706
0 years, male, NA, stage:2, alive, 870 days
42.5
DO45175
0 years, male, NA, stage:2, alive, 1140 days
42.4
DO45283
0 years, male, NA, stage:3, alive, 510 days
42.4
DO48695
0 years, male, NA, stage:2, alive, 720 days
42.2
DO50820
0 years, female, NA, stage:3, alive, 510 days
42.2
DO45123
0 years, female, NA, stage:2, dead, 570 days
42.1
DO50803
0 years, female, NA, stage:1, alive, 540 days
41.9
DO23542
0 years, male, NA, stage:3, alive, 960 days
41.8
DO48746
0 years, male, NA, stage:3, alive, 570 days
41.6
DO23518
0 years, male, NA, stage:2, alive, 1320 days
41.6
DO48730
0 years, female, NA, stage:2, alive, 630 days
41.4
DO50822
0 years, male, NA, stage:2, alive, 510 days
41.4
DO45221
0 years, female, NA, stage:4, dead, 390 days
41.4
DO45143
0 years, male, NA, stage:3, alive, 1290 days
41.3
DO45215
0 years, male, NA, stage:2, alive, 1170 days
41.3
DO45096
0 years, male, NA, stage:2, dead, 1290 days
40.9
DO45117
0 years, female, NA, stage:2, dead, 1110 days
40.9
DO23543
0 years, male, NA, stage:2, alive, 1020 days
40.8
DO45239
0 years, male, NA, stage:2, alive, 870 days
40.6
DO23546
0 years, male, NA, stage:2, alive, 1050 days
40.6
DO50802
0 years, male, NA, stage:2, alive, 930 days
40.2
DO50806
0 years, male, NA, stage:4, alive, 540 days
40.1
DO50783
0 years, male, NA, stage:3, alive, 480 days
40.0
DO48742
0 years, male, NA, stage:2, alive, 600 days
40.0
DO45169
0 years, male, NA, stage:3, alive, 1350 days
39.8
DO50857
0 years, male, NA, stage:2, alive, 210 days
39.8
DO48725
0 years, male, NA, stage:1, alive, 780 days
39.8
DO48732
0 years, male, NA, stage:3, alive, 630 days
39.8
DO48743
0 years, female, NA, stage:2, alive, 570 days
39.1
DO45101
0 years, male, NA, stage:2, alive, 1680 days
39.1
DO48679
0 years, male, NA, stage:2, alive, 1200 days
38.8
DO50832
0 years, male, NA, stage:3, alive, 90 days
38.7
DO45185
0 years, male, NA, stage:2, alive, 600 days
38.7
DO48733
0 years, male, NA, stage:2, alive, 600 days
38.6
DO50859
0 years, male, NA, stage:2, alive, 180 days
38.6
DO50816
0 years, male, NA, stage:2, alive, 390 days
38.5
DO45091
0 years, male, NA, stage:2, dead, 1320 days
38.5
DO50845
0 years, male, NA, stage:3, alive, 210 days
38.2
DO23549
0 years, male, NA, stage:3, alive, 990 days
37.9
DO48761
0 years, male, NA, stage:2, alive, 870 days
37.8
DO45149
0 years, female, NA, stage:2, alive, 1260 days
37.8
DO45191
0 years, female, NA, stage:2, alive, 1200 days
37.5
DO45107
0 years, female, NA, stage:2, alive, 1710 days
37.3
DO45213
0 years, male, NA, stage:1, alive, 1200 days
36.8
DO23514
0 years, male, NA, stage:2, alive, 1290 days
36.5
DO23513
0 years, male, NA, stage:3, alive, 1200 days
36.2
DO45092
0 years, male, NA, stage:4, dead, 1200 days
36.2
DO227801
0 years, female, NA, stage:1, alive, 660 days
36.1
DO45125
0 years, male, NA, stage:3, alive, 1680 days
35.7
DO50808
0 years, male, NA, stage:2, alive, 570 days
35.7
DO23510
0 years, female, NA, stage:2, alive, 870 days
35.7
DO50818
0 years, male, NA, stage:2, alive, 510 days
35.4
DO50844
0 years, male, NA, stage:4, alive, 300 days
35.1
DO50791
0 years, female, NA, stage:1, dead, 480 days
35.1
DO45193
0 years, female, NA, stage:4, dead, 120 days
35.0
DO48716
0 years, male, NA, stage:2, alive, 720 days
34.9
DO50813
0 years, male, NA, stage:2, alive, 420 days
34.6
DO50814
0 years, male, NA, stage:3, alive, 420 days
34.6
DO45227
0 years, female, NA, stage:2, alive, 1020 days
34.4
DO23509
0 years, male, NA, stage:3, dead, 780 days
33.9
DO50785
0 years, male, NA, stage:4, dead, 90 days
33.8
DO45171
0 years, male, NA, stage:3, alive, 600 days
33.6
DO48701
0 years, male, NA, stage:2, alive, 780 days
33.5
DO23536
0 years, male, NA, stage:2, alive, 930 days
33.4
DO48737
0 years, male, NA, stage:1, alive, 720 days
33.1
DO48693
0 years, male, NA, stage:2, alive, 900 days
32.9
DO23545
0 years, male, NA, stage:2, dead, 570 days
32.7
DO50840
0 years, male, NA, stage:2, alive, 330 days
32.6
DO45115
0 years, male, NA, stage:2, alive, 840 days
32.0
DO50789
0 years, female, NA, stage:2, alive, 570 days
31.8
DO45127
0 years, male, NA, stage:3, dead, 420 days
31.8
DO23527
0 years, male, NA, stage:1, alive, 1050 days
31.6
DO45219
0 years, male, NA, stage:2, alive, 1080 days
31.4
DO23532
0 years, female, NA, stage:1, alive, 960 days
31.4
DO45255
0 years, male, NA, stage:3, alive, 720 days
31.4
DO45199
0 years, female, NA, stage:2, alive, 1350 days
31.2
DO45163
0 years, male, NA, stage:2, alive, 960 days
30.9
DO23539
0 years, male, NA, stage:1, alive, 1110 days
30.7
DO23548
0 years, female, NA, stage:1, alive, 840 days
30.6
DO45195
0 years, male, NA, stage:1, alive, 390 days
30.1
DO23541
0 years, male, NA, stage:2, alive, 930 days
30.1
DO45131
0 years, male, NA, stage:4, dead, 360 days
29.5
DO23540
0 years, male, NA, stage:1, alive, 750 days
29.3
DO23533
0 years, male, NA, stage:2, alive, 900 days
29.3
DO48682
0 years, female, NA, stage:3, dead, 120 days
29.1
DO45209
0 years, male, NA, stage:4, alive, 1350 days
28.8
DO45094
0 years, male, NA, stage:3, alive, 1650 days
28.4
DO48681
0 years, male, NA, stage:2, alive, 900 days
28.3
DO50850
0 years, male, NA, stage:3, alive, 720 days
28.2
DO23534
0 years, male, NA, stage:2, alive, 840 days
28.2
DO23517
0 years, male, NA, stage:2, alive, 1200 days
27.8
DO50839
0 years, female, NA, stage:3, alive, 330 days
27.5
DO45133
0 years, male, NA, stage:3, dead, 660 days
27.4
DO50787
0 years, male, NA, stage:3, alive, 480 days
27.3
DO45167
0 years, male, NA, stage:2, dead, 1440 days
27.0
DO48723
0 years, male, NA, stage:1, alive, 600 days
26.2
DO23521
0 years, male, NA, stage:3, alive, 1110 days
23.7
DO45173
0 years, male, NA, stage:3, alive, 1170 days
23.6
DO50825
0 years, male, NA, stage:2, alive, 390 days
22.3
DO48721
0 years, female, NA, stage:1, alive, 900 days
21.8
DO45105
0 years, male, NA, stage:1, alive, 1680 days
20.6
DO23511
0 years, female, NA, stage:3, dead, 180 days
18.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
698
Normal
0.9
716
Normal
0.7
714
Normal
0.7
958
Normal
0.7
696
Normal
0.6
964
Normal
0.6
686
Normal
0.6
723
Tumor
0.6
954
Normal
0.6
916
Normal
0.6
1032
Normal
0.6
922
Normal
0.6
536
Normal
0.5
984
Normal
0.5
742
Normal
0.5
514
Normal
0.5
478
Normal
0.5
944
Normal
0.5
481
Tumor
0.5
938
Normal
0.5
1022
Normal
0.5
498
Normal
0.5
926
Normal
0.5
1046
Normal
0.5
918
Normal
0.5
728
Normal
0.5
534
Normal
0.5
924
Normal
0.5
482
Normal
0.5
968
Normal
0.5
448
Normal
0.5
484
Normal
0.4
1014
Normal
0.4
884
Normal
0.4
546
Normal
0.4
976
Normal
0.4
538
Normal
0.4
966
Normal
0.4
1042
Normal
0.4
488
Normal
0.4
978
Normal
0.4
356
Normal
0.4
744
Normal
0.4
756
Normal
0.4
878
Normal
0.4
778
Normal
0.4
528
Normal
0.4
955
Tumor
0.4
516
Normal
0.4
917
Tumor
0.4
738
Normal
0.4
1028
Normal
0.4
868
Normal
0.4
412
Normal
0.4
952
Normal
0.4
982
Normal
0.4
786
Normal
0.4
415
Tumor
0.4
1044
Normal
0.4
1026
Normal
0.4
882
Normal
0.4
715
Tumor
0.4
472
Normal
0.4
963
Tumor
0.4
462
Normal
0.3
912
Normal
0.3
524
Normal
0.3
914
Normal
0.3
746
Normal
0.3
915
Tumor
0.3
342
Normal
0.3
554
Normal
0.3
526
Normal
0.3
1016
Normal
0.3
376
Normal
0.3
967
Tumor
0.3
344
Normal
0.3
364
Normal
0.3
852
Normal
0.3
862
Normal
0.3
363
Tumor
0.3
858
Normal
0.3
284
Normal
0.3
977
Tumor
0.3
737
Tumor
0.3
975
Tumor
0.3
721
Tumor
0.3
866
Normal
0.3
474
Normal
0.3
518
Normal
0.3
394
Normal
0.3
722
Normal
0.3
685
Tumor
0.2
426
Normal
0.2
956
Normal
0.2
494
Normal
0.2
212
Normal
0.2
1031
Tumor
0.2
328
Normal
0.2
414
Normal
0.2
1045
Tumor
0.2
1041
Tumor
0.2
911
Tumor
0.2
358
Normal
0.2
228
Normal
0.2
388
Normal
0.2
867
Tumor
0.2
864
Normal
0.2
818
Normal
0.2
553
Tumor
0.2
432
Normal
0.2
444
Normal
0.2
568
Normal
0.2
616
Normal
0.2
572
Normal
0.2
824
Normal
0.2
126
Normal
0.2
618
Normal
0.2
416
Normal
0.2
286
Normal
0.2
672
Normal
0.2
162
Normal
0.2
396
Normal
0.2
128
Normal
0.2
727
Tumor
0.2
636
Normal
0.2
386
Normal
0.2
666
Normal
0.1
492
Normal
0.1
392
Normal
0.1
268
Normal
0.1
352
Normal
0.1
777
Tumor
0.1
362
Normal
0.1
1027
Tumor
0.1
172
Normal
0.1
384
Normal
0.1
332
Normal
0.1
434
Normal
0.1
368
Normal
0.1
422
Normal
0.1
298
Normal
0.1
124
Normal
0.1
913
Tumor
0.1
188
Normal
0.1
354
Normal
0.1
648
Normal
0.1
755
Tumor
0.1
447
Tumor
0.1
446
Normal
0.1
664
Normal
0.1
937
Tumor
0.1
196
Normal
0.1
823
Tumor
0.1
857
Tumor
0.1
628
Normal
0.1
132
Normal
0.1
785
Tumor
0.1
943
Tumor
0.1
527
Tumor
0.1
468
Normal
0.1
695
Tumor
0.1
558
Normal
0.1
523
Tumor
0.1
136
Normal
0.1
224
Normal
0.1
366
Normal
0.1
186
Normal
0.1
111
Normal
0.1
218
Normal
0.1
258
Normal
0.1
471
Tumor
0.1
436
Normal
0.0
146
Normal
0.0
662
Normal
0.0
314
Normal
0.0
114
Normal
0.0
874
Normal
0.0
222
Normal
0.0
131
Tumor
0.0
816
Normal
0.0
981
Tumor
0.0
452
Normal
0.0
535
Tumor
0.0
195
Tumor
0.0
424
Normal
0.0
425
Tumor
0.0
327
Tumor
0.0
464
Normal
0.0
697
Tumor
0.0
493
Tumor
0.0
214
Normal
0.0
138
Normal
0.0
881
Tumor
0.0
192
Normal
0.0
148
Normal
0.0
1025
Tumor
0.0
883
Tumor
0.0
477
Tumor
0.0
312
Normal
0.0
423
Tumor
0.0
863
Tumor
0.0
923
Tumor
0.0
456
Normal
0.0
272
Normal
0.0
428
Normal
0.0
262
Normal
0.0
921
Tumor
0.0
232
Normal
0.0
473
Tumor
0.0
873
Tumor
0.0
925
Tumor
0.0
223
Tumor
0.0
642
Normal
0.0
142
Normal
0.0
564
Normal
0.0
513
Tumor
0.0
461
Tumor
0.0
617
Tumor
0.0
574
Normal
0.0
951
Tumor
0.0
814
Normal
0.0
278
Normal
-0.1
741
Tumor
-0.1
713
Tumor
-0.1
1043
Tumor
-0.1
545
Tumor
-0.1
211
Tumor
-0.1
413
Tumor
-0.1
365
Tumor
-0.1
285
Tumor
-0.1
463
Tumor
-0.1
635
Tumor
-0.1
466
Normal
-0.1
353
Tumor
-0.1
421
Tumor
-0.1
563
Tumor
-0.1
185
Tumor
-0.1
983
Tumor
-0.1
445
Tumor
-0.1
724
Normal
-0.1
641
Tumor
-0.1
1015
Tumor
-0.1
965
Tumor
-0.1
665
Tumor
-0.2
1013
Tumor
-0.2
517
Tumor
-0.2
433
Tumor
-0.2
1021
Tumor
-0.2
745
Tumor
-0.2
627
Tumor
-0.2
861
Tumor
-0.2
127
Tumor
-0.2
497
Tumor
-0.2
455
Tumor
-0.2
571
Tumor
-0.2
113
Tumor
-0.2
515
Tumor
-0.2
451
Tumor
-0.2
661
Tumor
-0.2
261
Tumor
-0.2
817
Tumor
-0.2
297
Tumor
-0.2
813
Tumor
-0.2
191
Tumor
-0.2
953
Tumor
-0.2
221
Tumor
-0.2
427
Tumor
-0.2
443
Tumor
-0.2
467
Tumor
-0.2
231
Tumor
-0.2
865
Tumor
-0.2
487
Tumor
-0.2
227
Tumor
-0.2
383
Tumor
-0.2
743
Tumor
-0.2
112
Tumor
-0.2
357
Tumor
-0.2
483
Tumor
-0.3
137
Tumor
-0.3
355
Tumor
-0.3
187
Tumor
-0.3
141
Tumor
-0.3
431
Tumor
-0.3
957
Tumor
-0.3
533
Tumor
-0.3
171
Tumor
-0.3
525
Tumor
-0.3
145
Tumor
-0.3
311
Tumor
-0.3
341
Tumor
-0.3
615
Tumor
-0.3
217
Tumor
-0.3
537
Tumor
-0.3
283
Tumor
-0.3
271
Tumor
-0.3
135
Tumor
-0.4
161
Tumor
-0.4
877
Tumor
-0.4
557
Tumor
-0.4
213
Tumor
-0.4
411
Tumor
-0.4
395
Tumor
-0.4
647
Tumor
-0.4
361
Tumor
-0.4
435
Tumor
-0.4
671
Tumor
-0.4
851
Tumor
-0.4
277
Tumor
-0.4
367
Tumor
-0.4
391
Tumor
-0.4
267
Tumor
-0.5
393
Tumor
-0.5
147
Tumor
-0.5
331
Tumor
-0.5
465
Tumor
-0.5
387
Tumor
-0.5
491
Tumor
-0.5
815
Tumor
-0.5
663
Tumor
-0.5
351
Tumor
-0.6
385
Tumor
-0.6
375
Tumor
-0.6
567
Tumor
-0.6
125
Tumor
-0.6
343
Tumor
-0.7
257
Tumor
-0.7
573
Tumor
-0.7
313
Tumor
-0.8
123
Tumor
-0.8
Show allShow less
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
