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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.
CCT4 is validated 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
52.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
241.0
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
171.3
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
159.4
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
127.0
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
125.4
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
120.6
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
119.7
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
115.3
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
115.1
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
114.3
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
112.0
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
110.9
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
104.8
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
104.3
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
103.9
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
101.1
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
100.9
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
100.0
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
99.4
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
98.0
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
98.0
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
97.2
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
96.0
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
94.3
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
94.1
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
92.8
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
92.7
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
92.3
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
89.8
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
89.3
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
88.5
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
88.4
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
87.7
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
86.0
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
85.5
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
85.4
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
85.0
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
84.0
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
83.9
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
83.5
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
81.7
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
80.4
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
79.7
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
78.9
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
78.8
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
78.4
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
77.4
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
76.9
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
76.6
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
76.5
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
75.2
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
74.5
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
74.3
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
74.2
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
73.8
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
73.7
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
71.1
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
70.8
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
70.5
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
70.2
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
69.7
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
69.5
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
68.9
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
68.9
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
68.6
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
68.4
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
68.2
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
68.1
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
68.0
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
67.4
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
67.3
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
67.0
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
67.0
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
66.9
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
66.6
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
66.2
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
66.1
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
65.8
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
65.5
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
65.1
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
65.1
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
64.7
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
64.7
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
64.6
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
64.6
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
64.5
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
64.0
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
63.9
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
63.4
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
63.3
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
63.2
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
63.0
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
62.8
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
62.7
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
62.6
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
62.5
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
62.2
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
62.1
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
62.1
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
61.3
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
61.2
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
61.2
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
61.1
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
61.1
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
60.7
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
60.5
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
60.4
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
60.0
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
59.9
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
59.7
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
59.6
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
59.6
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
58.5
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
58.3
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
58.3
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
58.0
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
57.9
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
57.7
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
57.2
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
57.1
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
57.0
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
57.0
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
56.8
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
56.6
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
56.5
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
56.4
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
56.3
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
56.3
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
56.3
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
56.0
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
55.9
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
55.9
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
55.5
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
55.1
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
55.0
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
54.9
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
54.9
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
54.9
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
54.7
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
54.6
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
54.5
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
54.4
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
53.7
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
53.7
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
53.6
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
53.3
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
53.3
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
53.1
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
53.1
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
53.1
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
52.9
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
52.7
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
52.6
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
52.6
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
52.4
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
52.3
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
52.3
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
51.8
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
51.8
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
51.7
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
51.6
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
50.9
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
50.6
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
50.6
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
50.3
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
50.3
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
50.1
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
49.9
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
49.8
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
49.5
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
49.5
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
48.9
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
48.9
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
48.8
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
48.7
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
48.6
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
48.5
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
48.3
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
48.3
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
48.3
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
48.3
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
48.2
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
47.9
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
47.6
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
47.5
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
47.3
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
47.2
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
47.2
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
47.1
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
47.0
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
46.9
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
46.8
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
46.7
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
46.6
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
46.5
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
46.4
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
46.4
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
46.3
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
46.2
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
46.2
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
46.1
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
46.1
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
45.7
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
45.7
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
45.6
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
45.5
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
45.2
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
45.1
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
45.1
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
44.9
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
44.8
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
44.7
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
44.7
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
44.7
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
44.7
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
44.6
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
44.6
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
44.6
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
44.4
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
44.2
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
44.2
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
44.1
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
44.0
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
43.8
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
43.7
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
43.7
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
43.6
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
43.4
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
42.9
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
42.7
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
42.7
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
42.4
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
42.2
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
42.1
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
42.0
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
42.0
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
41.8
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
41.8
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
41.7
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
41.3
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
41.1
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
40.8
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
40.8
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
40.6
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
40.6
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
39.7
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
39.7
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
39.6
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
39.6
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
39.6
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
39.5
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
39.5
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
39.2
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
39.2
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
39.0
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
38.9
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
38.8
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
38.8
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
38.2
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
38.2
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
38.1
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
38.1
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
37.9
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
37.9
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
37.8
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
37.6
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
37.5
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
37.5
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
37.2
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
37.2
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
37.0
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
36.8
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
36.8
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
36.6
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
36.4
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
36.1
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
36.0
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
35.9
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
35.6
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
35.6
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
35.3
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
35.1
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
35.0
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
34.9
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
34.7
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
34.3
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
34.2
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
34.1
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
34.0
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
33.5
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
33.5
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
33.5
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
33.4
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
33.1
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
33.0
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
32.5
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
32.3
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
32.2
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
32.2
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
32.1
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
31.8
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
31.6
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
31.5
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
31.3
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
30.8
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
30.7
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
30.3
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
30.1
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
30.0
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
30.0
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
29.8
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
29.7
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
29.1
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
29.1
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
29.0
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
28.9
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
28.9
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
28.7
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
28.5
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
28.3
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
27.7
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
27.6
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
27.6
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
27.6
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
27.1
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
26.5
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
26.2
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
26.1
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
25.9
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
25.8
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
25.1
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
24.9
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
24.6
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
24.2
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
24.0
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
23.7
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
23.5
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
22.8
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
22.7
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
22.6
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
22.4
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
22.3
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
21.6
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
21.3
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
21.2
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
20.5
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
20.1
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
19.9
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
19.0
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
18.9
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
17.9
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
17.9
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
17.5
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
15.7
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
13.7
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
12.9
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
12.5
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
10.8
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
9.8
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
6.6
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
6.3
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 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.
CCT4 is validated prognostic, high expression is unfavorable 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
53.5
Number of samples
231
Samples
Sample
Description
TPM
DO23519
0 years, male, NA, stage:3, alive, 630 days
152.2
DO45193
0 years, female, NA, stage:4, dead, 120 days
139.0
DO23525
0 years, male, NA, stage:4, alive, 1050 days
139.0
DO45307
0 years, female, NA, stage:4, dead, 240 days
133.3
DO48751
0 years, male, NA, stage:2, dead, 480 days
116.3
DO45237
0 years, male, NA, stage:2, alive, 900 days
112.8
DO45283
0 years, male, NA, stage:3, alive, 510 days
102.5
DO45267
0 years, male, NA, stage:3, dead, 570 days
100.9
DO45221
0 years, female, NA, stage:4, dead, 390 days
94.7
DO45303
0 years, female, NA, stage:3, alive, 990 days
94.6
DO45127
0 years, male, NA, stage:3, dead, 420 days
93.7
DO50785
0 years, male, NA, stage:4, dead, 90 days
92.3
DO23521
0 years, male, NA, stage:3, alive, 1110 days
92.1
DO48723
0 years, male, NA, stage:1, alive, 600 days
91.6
DO45289
0 years, female, NA, stage:3, alive, 360 days
88.2
DO45183
0 years, female, NA, stage:2, dead, 570 days
87.1
DO45305
0 years, male, NA, stage:4, alive, 300 days
85.5
DO45269
0 years, male, NA, stage:3, alive, 750 days
84.9
DO50815
0 years, male, NA, stage:3, alive, 150 days
84.1
DO45275
0 years, male, NA, stage:3, dead, 10 days
84.0
DO45119
0 years, male, NA, stage:3, dead, 510 days
83.8
DO45117
0 years, female, NA, stage:2, dead, 1110 days
83.1
DO48681
0 years, male, NA, stage:2, alive, 900 days
82.9
DO45227
0 years, female, NA, stage:2, alive, 1020 days
82.3
DO23510
0 years, female, NA, stage:2, alive, 870 days
79.4
DO50829
0 years, male, NA, stage:3, alive, 570 days
79.4
DO45259
0 years, male, NA, stage:3, alive, 330 days
78.7
DO45285
0 years, male, NA, stage:3, alive, 480 days
78.6
DO45261
0 years, male, NA, stage:3, alive, 990 days
76.0
DO45165
0 years, male, NA, stage:2, alive, 690 days
75.3
DO45173
0 years, male, NA, stage:3, alive, 1170 days
75.2
DO45245
0 years, female, NA, stage:2, dead, 240 days
74.6
DO45145
0 years, male, NA, stage:3, dead, 60 days
73.1
DO45123
0 years, female, NA, stage:2, dead, 570 days
72.8
DO45131
0 years, male, NA, stage:4, dead, 360 days
72.6
DO45155
0 years, male, NA, stage:2, alive, 2160 days
72.5
DO48717
0 years, male, NA, stage:4, dead, 180 days
71.8
DO23528
0 years, female, NA, stage:2, alive, 1020 days
71.5
DO45093
0 years, male, NA, stage:2, dead, 720 days
71.1
DO48737
0 years, male, NA, stage:1, alive, 720 days
71.0
DO50799
0 years, female, NA, stage:2, alive, 540 days
70.9
DO45189
0 years, female, NA, stage:2, alive, 1200 days
70.9
DO45239
0 years, male, NA, stage:2, alive, 870 days
70.5
DO23508
0 years, female, NA, stage:2, alive, 390 days
70.2
DO23515
0 years, male, NA, stage:2, alive, 1230 days
70.0
DO50802
0 years, male, NA, stage:2, alive, 930 days
69.8
DO48695
0 years, male, NA, stage:2, alive, 720 days
69.4
DO45297
0 years, female, NA, stage:4, dead, 1260 days
69.3
DO45091
0 years, male, NA, stage:2, dead, 1320 days
68.9
DO45265
0 years, male, NA, stage:3, alive, 1020 days
68.7
DO23523
0 years, male, NA, stage:3, alive, 1080 days
68.3
DO48697
0 years, female, NA, stage:2, dead, 810 days
68.1
DO50825
0 years, male, NA, stage:2, alive, 390 days
67.4
DO45137
0 years, male, NA, stage:1, alive, 1320 days
67.3
DO48757
0 years, female, NA, stage:3, alive, 480 days
67.1
DO23545
0 years, male, NA, stage:2, dead, 570 days
67.1
DO23509
0 years, male, NA, stage:3, dead, 780 days
67.0
DO50857
0 years, male, NA, stage:2, alive, 210 days
66.4
DO50820
0 years, female, NA, stage:3, alive, 510 days
65.8
DO48727
0 years, female, NA, stage:2, dead, 390 days
65.7
DO45203
0 years, female, NA, stage:2, alive, 1170 days
65.7
DO48730
0 years, female, NA, stage:2, alive, 630 days
64.8
DO45139
0 years, male, NA, stage:3, alive, 1320 days
64.5
DO45299
0 years, female, NA, stage:1, alive, 1440 days
64.0
DO45211
0 years, male, NA, stage:3, alive, 240 days
63.6
DO45219
0 years, male, NA, stage:2, alive, 1080 days
63.1
DO48682
0 years, female, NA, stage:3, dead, 120 days
62.8
DO45235
0 years, female, NA, stage:1, alive, 900 days
62.6
DO50774
0 years, female, NA, stage:2, alive, 720 days
62.1
DO50806
0 years, male, NA, stage:4, alive, 540 days
61.7
DO45092
0 years, male, NA, stage:4, dead, 1200 days
61.3
DO45209
0 years, male, NA, stage:4, alive, 1350 days
61.2
DO50791
0 years, female, NA, stage:1, dead, 480 days
61.0
DO23542
0 years, male, NA, stage:3, alive, 960 days
60.8
DO45163
0 years, male, NA, stage:2, alive, 960 days
60.8
DO45179
0 years, female, NA, stage:2, alive, 600 days
60.7
DO23536
0 years, male, NA, stage:2, alive, 930 days
60.4
DO48741
0 years, male, NA, stage:3, alive, 240 days
60.2
DO23552
0 years, female, NA, stage:1, alive, 810 days
60.0
DO48679
0 years, male, NA, stage:2, alive, 1200 days
59.7
DO48747
0 years, male, NA, stage:3, alive, 540 days
59.2
DO50822
0 years, male, NA, stage:2, alive, 510 days
58.9
DO45097
0 years, male, NA, stage:3, alive, 1620 days
58.6
DO45143
0 years, male, NA, stage:3, alive, 1290 days
58.5
DO23514
0 years, male, NA, stage:2, alive, 1290 days
58.4
DO50844
0 years, male, NA, stage:4, alive, 300 days
58.2
DO50819
0 years, female, NA, stage:2, alive, 510 days
58.1
DO50859
0 years, male, NA, stage:2, alive, 180 days
57.5
DO45247
0 years, female, NA, stage:2, alive, 210 days
57.1
DO50840
0 years, male, NA, stage:2, alive, 330 days
56.9
DO48672
0 years, male, NA, stage:2, alive, 450 days
56.8
DO45095
0 years, male, NA, stage:2, alive, 1620 days
56.6
DO23524
0 years, female, NA, stage:2, alive, 1050 days
56.6
DO48725
0 years, male, NA, stage:1, alive, 780 days
56.4
DO48715
0 years, female, NA, stage:2, dead, 690 days
56.2
DO50839
0 years, female, NA, stage:3, alive, 330 days
56.0
DO45199
0 years, female, NA, stage:2, alive, 1350 days
55.9
DO23513
0 years, male, NA, stage:3, alive, 1200 days
55.8
DO45279
0 years, male, NA, stage:3, alive, 1290 days
55.7
DO48736
0 years, female, NA, stage:1, alive, 600 days
55.6
DO48706
0 years, male, NA, stage:2, alive, 870 days
55.5
DO45281
0 years, male, NA, stage:4, alive, 750 days
55.3
DO45121
0 years, male, NA, stage:3, alive, 1530 days
55.2
DO45205
0 years, female, NA, stage:2, dead, 90 days
54.7
DO50798
0 years, male, NA, stage:3, dead, 30 days
54.5
DO50808
0 years, male, NA, stage:2, alive, 570 days
54.3
DO45231
0 years, male, NA, stage:2, alive, 930 days
54.2
DO45187
0 years, female, NA, stage:1, alive, 1260 days
53.8
DO45249
0 years, male, NA, stage:1, alive, 630 days
53.4
DO45099
0 years, male, NA, stage:3, alive, 1590 days
53.1
DO45253
0 years, male, NA, stage:2, alive, 870 days
53.0
DO45273
0 years, male, NA, stage:2, alive, 480 days
52.9
DO45135
0 years, male, NA, stage:1, alive, 1410 days
52.6
DO45115
0 years, male, NA, stage:2, alive, 840 days
52.4
DO23529
0 years, male, NA, stage:4, alive, 930 days
52.4
DO45287
0 years, male, NA, stage:1, alive, 390 days
52.3
DO45171
0 years, male, NA, stage:3, alive, 600 days
52.3
DO48704
0 years, female, NA, stage:3, alive, 750 days
52.2
DO45175
0 years, male, NA, stage:2, alive, 1140 days
52.1
DO50805
0 years, male, NA, stage:2, alive, 690 days
52.0
DO50850
0 years, male, NA, stage:3, alive, 720 days
51.5
DO45157
0 years, male, NA, stage:2, alive, 1980 days
51.3
DO45169
0 years, male, NA, stage:3, alive, 1350 days
50.9
DO23537
0 years, male, NA, stage:2, dead, 900 days
50.9
DO50778
0 years, male, NA, stage:4, alive, 630 days
50.8
DO45185
0 years, male, NA, stage:2, alive, 600 days
50.5
DO48732
0 years, male, NA, stage:3, alive, 630 days
49.3
DO48719
0 years, male, NA, stage:2, alive, 690 days
49.2
DO45213
0 years, male, NA, stage:1, alive, 1200 days
49.1
DO45159
0 years, male, NA, stage:3, alive, 1470 days
49.1
DO45301
0 years, male, NA, stage:2, dead, 1440 days
48.7
DO48733
0 years, male, NA, stage:2, alive, 600 days
48.6
DO45096
0 years, male, NA, stage:2, dead, 1290 days
48.0
DO50776
0 years, male, NA, stage:1, alive, 690 days
48.0
DO50832
0 years, male, NA, stage:3, alive, 90 days
48.0
DO48720
0 years, female, NA, stage:2, alive, 570 days
47.8
DO48700
0 years, female, NA, stage:2, alive, 810 days
47.5
DO50855
0 years, male, NA, stage:2, alive, 570 days
47.5
DO45223
0 years, male, NA, stage:4, alive, 1020 days
47.3
DO45225
0 years, male, NA, stage:1, alive, 1050 days
46.7
DO48759
0 years, male, NA, stage:3, alive, 720 days
46.6
DO45277
0 years, male, NA, stage:3, alive, 600 days
46.0
DO23530
0 years, male, NA, stage:4, dead, 180 days
45.8
DO45161
0 years, male, NA, stage:2, dead, 540 days
45.5
DO23551
0 years, male, NA, stage:3, dead, 150 days
45.4
DO45113
0 years, male, NA, stage:3, alive, 1560 days
45.2
DO50809
0 years, male, NA, stage:3, dead, 720 days
45.2
DO23526
0 years, male, NA, stage:3, alive, 1050 days
44.1
DO45251
0 years, female, NA, stage:2, alive, 900 days
43.8
DO48721
0 years, female, NA, stage:1, alive, 900 days
43.7
DO45191
0 years, female, NA, stage:2, alive, 1200 days
43.6
DO45129
0 years, male, NA, stage:3, alive, 1470 days
43.2
DO23516
0 years, male, NA, stage:3, dead, 20 days
43.1
DO23518
0 years, male, NA, stage:2, alive, 1320 days
42.8
DO50807
0 years, male, NA, stage:1, alive, 540 days
42.6
DO48701
0 years, male, NA, stage:2, alive, 780 days
42.1
DO50804
0 years, male, NA, stage:2, alive, 720 days
41.6
DO50793
0 years, male, NA, stage:4, alive, 540 days
41.2
DO50783
0 years, male, NA, stage:3, alive, 480 days
41.1
DO48743
0 years, female, NA, stage:2, alive, 570 days
40.9
DO45153
0 years, female, NA, stage:2, alive, 1380 days
40.7
DO23541
0 years, male, NA, stage:2, alive, 930 days
40.4
DO23511
0 years, female, NA, stage:3, dead, 180 days
40.2
DO45263
0 years, male, NA, stage:3, dead, 270 days
40.1
DO45133
0 years, male, NA, stage:3, dead, 660 days
40.0
DO50789
0 years, female, NA, stage:2, alive, 570 days
39.7
DO50800
0 years, male, NA, stage:2, alive, 510 days
39.6
DO48728
0 years, female, NA, stage:2, alive, 150 days
39.5
DO45141
0 years, male, NA, stage:2, alive, 1320 days
39.4
DO45217
0 years, female, NA, stage:3, dead, 270 days
39.0
DO45197
0 years, male, NA, stage:2, alive, 1170 days
38.9
DO45257
0 years, male, NA, stage:3, alive, 810 days
38.6
DO48677
0 years, male, NA, stage:3, alive, 1140 days
38.1
DO45177
0 years, female, NA, stage:3, alive, 1260 days
38.0
DO50787
0 years, male, NA, stage:3, alive, 480 days
37.9
DO48746
0 years, male, NA, stage:3, alive, 570 days
37.4
DO45233
0 years, male, NA, stage:3, alive, 900 days
37.1
DO23527
0 years, male, NA, stage:1, alive, 1050 days
36.4
DO23538
0 years, male, NA, stage:2, alive, 450 days
35.9
DO50803
0 years, female, NA, stage:1, alive, 540 days
35.4
DO45094
0 years, male, NA, stage:3, alive, 1650 days
35.3
DO48716
0 years, male, NA, stage:2, alive, 720 days
35.2
DO45201
0 years, male, NA, stage:1, alive, 900 days
35.2
DO23540
0 years, male, NA, stage:1, alive, 750 days
35.1
DO45229
0 years, male, NA, stage:1, alive, 990 days
34.7
DO45207
0 years, male, NA, stage:1, alive, 1050 days
33.9
DO48742
0 years, male, NA, stage:2, alive, 600 days
33.6
DO23533
0 years, male, NA, stage:2, alive, 900 days
33.1
DO45149
0 years, female, NA, stage:2, alive, 1260 days
32.6
DO50811
0 years, male, NA, stage:1, alive, 450 days
32.6
DO23543
0 years, male, NA, stage:2, alive, 1020 days
32.5
DO45111
0 years, male, NA, stage:2, alive, 1590 days
32.0
DO227801
0 years, female, NA, stage:1, alive, 660 days
31.5
DO48761
0 years, male, NA, stage:2, alive, 870 days
31.5
DO23535
0 years, male, NA, stage:1, alive, 960 days
31.3
DO50814
0 years, male, NA, stage:3, alive, 420 days
31.3
DO45103
0 years, male, NA, stage:3, alive, 450 days
30.9
DO23547
0 years, male, NA, stage:1, alive, 1020 days
30.5
DO45181
0 years, female, NA, stage:2, alive, 1200 days
30.2
DO23546
0 years, male, NA, stage:2, alive, 1050 days
30.1
DO48712
0 years, male, NA, stage:2, alive, 810 days
29.6
DO45243
0 years, female, NA, stage:3, alive, 930 days
29.6
DO48760
0 years, female, NA, stage:2, alive, 690 days
29.6
DO50813
0 years, male, NA, stage:2, alive, 420 days
29.2
DO48693
0 years, male, NA, stage:2, alive, 900 days
29.2
DO23512
0 years, male, NA, stage:1, alive, 1260 days
28.4
DO45255
0 years, male, NA, stage:3, alive, 720 days
28.2
DO50818
0 years, male, NA, stage:2, alive, 510 days
28.0
DO23531
0 years, female, NA, stage:3, alive, 900 days
26.4
DO23550
0 years, male, NA, stage:1, alive, 990 days
25.8
DO227643
0 years, male, NA, stage:2, alive, 1260 days
23.8
DO48674
0 years, male, NA, stage:2, alive, 1260 days
23.3
DO45109
0 years, male, NA, stage:2, alive, 1590 days
22.6
DO45215
0 years, male, NA, stage:2, alive, 1170 days
22.4
DO23539
0 years, male, NA, stage:1, alive, 1110 days
21.5
DO45125
0 years, male, NA, stage:3, alive, 1680 days
20.7
DO23534
0 years, male, NA, stage:2, alive, 840 days
20.5
DO50816
0 years, male, NA, stage:2, alive, 390 days
19.9
DO23549
0 years, male, NA, stage:3, alive, 990 days
19.4
DO45107
0 years, female, NA, stage:2, alive, 1710 days
19.3
DO23544
0 years, male, NA, stage:2, alive, 960 days
19.3
DO45195
0 years, male, NA, stage:1, alive, 390 days
19.1
DO50817
0 years, male, NA, stage:2, alive, 390 days
17.4
DO50845
0 years, male, NA, stage:3, alive, 210 days
17.3
DO23548
0 years, female, NA, stage:1, alive, 840 days
17.0
DO45167
0 years, male, NA, stage:2, dead, 1440 days
16.8
DO23517
0 years, male, NA, stage:2, alive, 1200 days
16.4
DO45101
0 years, male, NA, stage:2, alive, 1680 days
16.3
DO23532
0 years, female, NA, stage:1, alive, 960 days
14.9
DO45241
0 years, male, NA, stage:1, alive, 1080 days
14.2
DO45105
0 years, male, NA, stage:1, alive, 1680 days
9.1
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
131
Tumor
0.7
1013
Tumor
0.7
147
Tumor
0.5
567
Tumor
0.5
537
Tumor
0.5
743
Tumor
0.5
965
Tumor
0.5
815
Tumor
0.5
367
Tumor
0.4
661
Tumor
0.4
123
Tumor
0.4
331
Tumor
0.4
1021
Tumor
0.4
737
Tumor
0.4
745
Tumor
0.4
951
Tumor
0.4
983
Tumor
0.4
1031
Tumor
0.3
865
Tumor
0.3
617
Tumor
0.3
391
Tumor
0.3
351
Tumor
0.3
1043
Tumor
0.3
227
Tumor
0.3
285
Tumor
0.3
425
Tumor
0.3
663
Tumor
0.3
527
Tumor
0.3
436
Normal
0.2
471
Tumor
0.2
873
Tumor
0.2
1022
Normal
0.2
477
Tumor
0.2
952
Normal
0.2
113
Tumor
0.2
571
Tumor
0.2
553
Tumor
0.2
125
Tumor
0.2
1026
Normal
0.2
431
Tumor
0.2
697
Tumor
0.2
956
Normal
0.2
755
Tumor
0.2
727
Tumor
0.2
515
Tumor
0.2
443
Tumor
0.2
967
Tumor
0.2
685
Tumor
0.2
221
Tumor
0.2
813
Tumor
0.2
445
Tumor
0.1
722
Normal
0.1
966
Normal
0.1
328
Normal
0.1
746
Normal
0.1
432
Normal
0.1
473
Tumor
0.1
342
Normal
0.1
695
Tumor
0.1
923
Tumor
0.1
921
Tumor
0.1
964
Normal
0.1
957
Tumor
0.1
723
Tumor
0.1
728
Normal
0.1
363
Tumor
0.1
981
Tumor
0.1
327
Tumor
0.1
313
Tumor
0.1
482
Normal
0.1
395
Tumor
0.1
128
Normal
0.1
463
Tumor
0.1
863
Tumor
0.1
955
Tumor
0.1
714
Normal
0.1
416
Normal
0.1
627
Tumor
0.1
298
Normal
0.1
222
Normal
0.1
411
Tumor
0.1
484
Normal
0.1
137
Tumor
0.1
862
Normal
0.1
472
Normal
0.1
448
Normal
0.1
635
Tumor
0.1
262
Normal
0.1
231
Tumor
0.1
491
Tumor
0.1
738
Normal
0.1
944
Normal
0.1
915
Tumor
0.1
516
Normal
0.1
1027
Tumor
0.1
466
Normal
0.1
111
Normal
0.1
741
Tumor
0.1
818
Normal
0.1
162
Normal
0.1
364
Normal
0.1
525
Tumor
0.1
148
Normal
0.1
214
Normal
0.1
415
Tumor
0.1
982
Normal
0.1
186
Normal
0.1
127
Tumor
0.1
546
Normal
0.1
353
Tumor
0.1
573
Tumor
0.1
1045
Tumor
0.0
385
Tumor
0.0
474
Normal
0.0
696
Normal
0.0
616
Normal
0.0
358
Normal
0.0
424
Normal
0.0
414
Normal
0.0
1028
Normal
0.0
1044
Normal
0.0
953
Tumor
0.0
977
Tumor
0.0
356
Normal
0.0
816
Normal
0.0
272
Normal
0.0
314
Normal
0.0
172
Normal
0.0
824
Normal
0.0
1014
Normal
0.0
386
Normal
0.0
742
Normal
0.0
217
Tumor
0.0
422
Normal
0.0
724
Normal
0.0
196
Normal
0.0
924
Normal
0.0
286
Normal
0.0
858
Normal
0.0
494
Normal
0.0
412
Normal
0.0
618
Normal
0.0
866
Normal
0.0
232
Normal
0.0
141
Tumor
0.0
271
Tumor
0.0
861
Tumor
0.0
686
Normal
0.0
698
Normal
0.0
517
Tumor
0.0
211
Tumor
0.0
312
Normal
0.0
912
Normal
0.0
446
Normal
0.0
914
Normal
0.0
218
Normal
0.0
1015
Tumor
0.0
926
Normal
0.0
518
Normal
0.0
864
Normal
0.0
1032
Normal
0.0
976
Normal
0.0
423
Tumor
0.0
228
Normal
0.0
938
Normal
0.0
778
Normal
0.0
488
Normal
0.0
716
Normal
0.0
534
Normal
0.0
1046
Normal
0.0
554
Normal
0.0
132
Normal
0.0
526
Normal
0.0
867
Tumor
0.0
641
Tumor
0.0
1042
Normal
0.0
648
Normal
0.0
212
Normal
0.0
911
Tumor
0.0
647
Tumor
0.0
124
Normal
0.0
394
Normal
0.0
943
Tumor
0.0
636
Normal
0.0
664
Normal
0.0
874
Normal
0.0
882
Normal
0.0
261
Tumor
0.0
978
Normal
0.0
344
Normal
0.0
283
Tumor
0.0
278
Normal
0.0
434
Normal
0.0
487
Tumor
0.0
868
Normal
0.0
258
Normal
0.0
455
Tumor
0.0
362
Normal
0.0
1016
Normal
0.0
223
Tumor
0.0
456
Normal
0.0
462
Normal
0.0
884
Normal
0.0
426
Normal
0.0
365
Tumor
0.0
376
Normal
0.0
366
Normal
0.0
136
Normal
0.0
958
Normal
0.0
642
Normal
0.0
187
Tumor
-0.1
922
Normal
-0.1
375
Tumor
-0.1
465
Tumor
-0.1
478
Normal
-0.1
786
Normal
-0.1
452
Normal
-0.1
357
Tumor
-0.1
112
Tumor
-0.1
528
Normal
-0.1
483
Tumor
-0.1
918
Normal
-0.1
126
Normal
-0.1
114
Normal
-0.1
284
Normal
-0.1
777
Tumor
-0.1
428
Normal
-0.1
968
Normal
-0.1
354
Normal
-0.1
387
Tumor
-0.1
277
Tumor
-0.1
665
Tumor
-0.1
916
Normal
-0.1
311
Tumor
-0.1
188
Normal
-0.1
975
Tumor
-0.1
297
Tumor
-0.1
523
Tumor
-0.1
877
Tumor
-0.1
388
Normal
-0.1
497
Tumor
-0.1
447
Tumor
-0.1
392
Normal
-0.1
138
Normal
-0.1
413
Tumor
-0.1
468
Normal
-0.1
492
Normal
-0.1
564
Normal
-0.1
368
Normal
-0.1
464
Normal
-0.1
535
Tumor
-0.1
756
Normal
-0.1
1025
Tumor
-0.1
142
Normal
-0.1
662
Normal
-0.1
814
Normal
-0.1
558
Normal
-0.1
267
Tumor
-0.1
433
Tumor
-0.1
536
Normal
-0.1
568
Normal
-0.1
332
Normal
-0.1
421
Tumor
-0.1
396
Normal
-0.1
925
Tumor
-0.1
352
Normal
-0.1
224
Normal
-0.1
361
Tumor
-0.1
628
Normal
-0.1
185
Tumor
-0.1
615
Tumor
-0.1
355
Tumor
-0.1
817
Tumor
-0.1
984
Normal
-0.1
533
Tumor
-0.1
715
Tumor
-0.1
883
Tumor
-0.1
146
Normal
-0.1
852
Normal
-0.1
963
Tumor
-0.2
192
Normal
-0.2
878
Normal
-0.2
213
Tumor
-0.2
435
Tumor
-0.2
574
Normal
-0.2
572
Normal
-0.2
744
Normal
-0.2
191
Tumor
-0.2
514
Normal
-0.2
785
Tumor
-0.2
427
Tumor
-0.2
881
Tumor
-0.2
524
Normal
-0.2
268
Normal
-0.2
563
Tumor
-0.2
493
Tumor
-0.2
451
Tumor
-0.2
721
Tumor
-0.2
498
Normal
-0.2
145
Tumor
-0.2
538
Normal
-0.2
713
Tumor
-0.2
444
Normal
-0.2
257
Tumor
-0.2
513
Tumor
-0.2
383
Tumor
-0.2
171
Tumor
-0.2
954
Normal
-0.2
917
Tumor
-0.2
341
Tumor
-0.3
823
Tumor
-0.3
461
Tumor
-0.3
384
Normal
-0.3
671
Tumor
-0.3
393
Tumor
-0.3
666
Normal
-0.3
481
Tumor
-0.3
545
Tumor
-0.3
672
Normal
-0.3
195
Tumor
-0.3
557
Tumor
-0.3
851
Tumor
-0.3
161
Tumor
-0.3
1041
Tumor
-0.3
467
Tumor
-0.4
343
Tumor
-0.4
135
Tumor
-0.4
937
Tumor
-0.4
857
Tumor
-0.4
913
Tumor
-0.4
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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
