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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.
STAU1 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
56.4
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
189.7
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
173.7
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
163.6
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
158.0
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
150.7
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
140.9
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
136.6
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
128.8
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
123.8
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
117.0
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
115.9
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
114.3
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
112.8
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
111.0
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
105.2
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
104.1
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
103.3
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
102.3
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
101.8
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
101.0
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
99.9
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
99.9
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
99.5
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
99.3
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
99.1
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
98.3
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
98.1
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
97.6
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
97.2
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
97.1
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
96.0
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
96.0
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
96.0
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
95.9
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
94.6
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
94.4
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
94.2
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
93.8
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
93.3
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
93.3
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
93.2
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
92.7
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
92.6
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
91.8
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
90.2
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
89.9
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
89.7
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
88.9
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
87.6
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
87.4
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
86.5
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
86.0
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
85.9
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
85.8
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
85.7
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
83.6
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
83.0
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
83.0
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
82.5
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
82.2
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
82.1
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
82.1
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
81.8
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
81.7
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
81.6
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
81.2
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
81.1
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
80.9
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
80.6
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
80.4
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
80.1
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
80.1
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
80.1
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
79.6
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
79.4
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
79.0
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
78.8
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
78.7
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
78.5
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
77.9
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
77.5
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
75.2
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
75.0
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
74.2
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
74.0
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
73.8
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
73.2
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
73.0
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
72.6
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
72.2
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
71.9
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
71.8
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
71.1
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
71.0
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
70.1
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
70.1
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
70.0
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
69.8
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
69.5
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
69.1
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
69.1
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
68.8
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
68.7
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
68.6
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
68.3
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
68.0
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
67.6
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
67.0
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
66.5
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
66.3
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
66.3
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
66.1
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
66.1
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
65.6
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
65.4
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
65.4
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
65.3
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
64.4
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
64.4
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
64.4
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
64.0
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
63.8
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
63.8
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
63.7
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
62.8
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
62.1
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
62.0
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
61.8
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
61.5
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
61.2
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
61.1
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
60.5
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
60.3
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
60.2
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
60.1
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
60.0
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
59.8
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
59.7
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
59.7
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
59.6
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
59.5
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
58.8
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
58.5
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
58.0
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
58.0
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
57.8
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
57.7
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
57.6
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
57.5
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
57.5
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
57.4
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
57.2
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
56.7
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
56.6
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
56.4
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
56.4
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
56.1
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
56.1
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
56.1
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
55.6
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
55.6
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
55.4
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
55.4
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
55.3
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
55.3
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
55.3
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
55.1
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
54.7
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
54.3
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
54.3
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
54.2
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
54.0
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
53.6
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
53.3
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
53.3
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
53.1
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
52.9
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
52.8
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
52.6
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
52.6
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
52.5
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
52.3
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
52.2
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
52.2
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
52.1
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
51.8
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
51.7
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
51.6
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
51.3
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
51.0
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
51.0
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
51.0
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
50.8
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
50.5
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
50.3
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
50.2
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
49.7
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
49.4
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
49.3
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
49.3
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
49.1
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
48.3
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
48.0
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
47.7
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
47.4
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
47.3
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
46.9
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
46.9
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
46.9
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
46.8
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
46.4
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
46.3
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
46.0
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
45.6
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
45.5
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
45.4
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
45.2
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
45.1
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
44.6
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
44.4
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
44.2
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
44.0
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
43.5
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
43.4
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
43.2
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
43.2
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
42.9
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
42.7
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
42.6
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
42.5
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
42.2
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
42.0
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
41.9
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
41.3
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
41.2
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
41.1
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
40.9
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
39.9
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
39.5
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
39.5
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
39.4
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
39.3
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
39.3
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
39.3
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
39.2
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
39.1
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
39.0
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
38.7
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
38.7
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
38.4
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
38.3
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
38.2
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
38.2
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
38.2
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
37.9
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
37.8
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
37.5
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
37.4
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
37.3
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
37.2
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
37.2
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
37.2
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
37.2
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
37.1
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
37.0
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
37.0
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
37.0
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
36.8
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
36.5
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
36.3
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
36.2
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
36.1
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
36.1
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
36.1
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
36.0
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
35.6
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
35.5
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
35.3
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
35.2
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
34.6
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
34.6
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
34.3
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
34.1
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
34.1
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
33.9
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
33.1
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
33.0
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
32.9
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
32.7
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
32.6
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
32.5
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
32.4
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
32.2
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
32.2
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
32.1
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
32.0
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
31.7
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
31.4
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
31.3
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
31.2
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
31.2
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
31.2
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
31.1
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
30.4
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
30.3
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
30.3
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
30.1
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
29.3
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
28.7
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
28.3
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
27.9
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
27.9
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
27.9
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
27.9
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
27.3
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
27.3
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
27.2
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
27.1
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
26.8
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
26.7
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
26.6
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
26.6
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
26.4
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
26.2
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
26.2
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
25.9
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
25.8
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
25.4
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
24.2
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
23.9
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
23.6
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
23.6
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
23.1
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
23.1
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
23.1
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
23.1
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
22.7
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
22.5
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
22.4
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
22.3
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
22.3
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
22.1
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
21.9
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
21.0
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
20.7
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
20.5
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
19.0
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
18.1
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
17.9
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
17.6
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
17.3
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
16.6
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
16.3
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
16.0
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
14.5
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
14.2
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
12.8
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
12.0
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
11.9
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
11.3
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
11.0
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 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.
STAU1 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
57.4
Number of samples
231
Samples
Sample
Description
TPM
DO48757
0 years, female, NA, stage:3, alive, 480 days
141.2
DO45259
0 years, male, NA, stage:3, alive, 330 days
126.1
DO45217
0 years, female, NA, stage:3, dead, 270 days
122.9
DO23552
0 years, female, NA, stage:1, alive, 810 days
122.7
DO45197
0 years, male, NA, stage:2, alive, 1170 days
122.5
DO45091
0 years, male, NA, stage:2, dead, 1320 days
110.2
DO50820
0 years, female, NA, stage:3, alive, 510 days
105.6
DO45219
0 years, male, NA, stage:2, alive, 1080 days
105.3
DO50844
0 years, male, NA, stage:4, alive, 300 days
104.3
DO45131
0 years, male, NA, stage:4, dead, 360 days
103.1
DO23513
0 years, male, NA, stage:3, alive, 1200 days
98.8
DO50789
0 years, female, NA, stage:2, alive, 570 days
96.7
DO45239
0 years, male, NA, stage:2, alive, 870 days
96.0
DO45179
0 years, female, NA, stage:2, alive, 600 days
94.3
DO48719
0 years, male, NA, stage:2, alive, 690 days
91.1
DO48723
0 years, male, NA, stage:1, alive, 600 days
90.9
DO23511
0 years, female, NA, stage:3, dead, 180 days
90.0
DO45209
0 years, male, NA, stage:4, alive, 1350 days
88.8
DO48751
0 years, male, NA, stage:2, dead, 480 days
87.8
DO45193
0 years, female, NA, stage:4, dead, 120 days
86.3
DO50857
0 years, male, NA, stage:2, alive, 210 days
85.7
DO45127
0 years, male, NA, stage:3, dead, 420 days
85.3
DO48746
0 years, male, NA, stage:3, alive, 570 days
84.9
DO45269
0 years, male, NA, stage:3, alive, 750 days
83.8
DO50799
0 years, female, NA, stage:2, alive, 540 days
83.3
DO45121
0 years, male, NA, stage:3, alive, 1530 days
83.1
DO45267
0 years, male, NA, stage:3, dead, 570 days
83.1
DO50787
0 years, male, NA, stage:3, alive, 480 days
82.8
DO48697
0 years, female, NA, stage:2, dead, 810 days
82.2
DO48728
0 years, female, NA, stage:2, alive, 150 days
81.8
DO50806
0 years, male, NA, stage:4, alive, 540 days
81.3
DO23517
0 years, male, NA, stage:2, alive, 1200 days
80.7
DO50815
0 years, male, NA, stage:3, alive, 150 days
80.5
DO45203
0 years, female, NA, stage:2, alive, 1170 days
80.5
DO50778
0 years, male, NA, stage:4, alive, 630 days
80.5
DO48712
0 years, male, NA, stage:2, alive, 810 days
80.4
DO45187
0 years, female, NA, stage:1, alive, 1260 days
80.2
DO45245
0 years, female, NA, stage:2, dead, 240 days
78.5
DO45265
0 years, male, NA, stage:3, alive, 1020 days
78.2
DO23515
0 years, male, NA, stage:2, alive, 1230 days
77.6
DO50859
0 years, male, NA, stage:2, alive, 180 days
77.5
DO23535
0 years, male, NA, stage:1, alive, 960 days
75.8
DO45159
0 years, male, NA, stage:3, alive, 1470 days
75.7
DO45129
0 years, male, NA, stage:3, alive, 1470 days
74.9
DO45227
0 years, female, NA, stage:2, alive, 1020 days
74.4
DO48730
0 years, female, NA, stage:2, alive, 630 days
74.3
DO45281
0 years, male, NA, stage:4, alive, 750 days
74.3
DO45183
0 years, female, NA, stage:2, dead, 570 days
74.1
DO23516
0 years, male, NA, stage:3, dead, 20 days
73.4
DO23542
0 years, male, NA, stage:3, alive, 960 days
73.4
DO50811
0 years, male, NA, stage:1, alive, 450 days
71.4
DO45117
0 years, female, NA, stage:2, dead, 1110 days
71.2
DO45213
0 years, male, NA, stage:1, alive, 1200 days
71.0
DO48672
0 years, male, NA, stage:2, alive, 450 days
70.9
DO45273
0 years, male, NA, stage:2, alive, 480 days
70.5
DO45199
0 years, female, NA, stage:2, alive, 1350 days
70.4
DO48725
0 years, male, NA, stage:1, alive, 780 days
69.3
DO45135
0 years, male, NA, stage:1, alive, 1410 days
69.0
DO23528
0 years, female, NA, stage:2, alive, 1020 days
68.5
DO48681
0 years, male, NA, stage:2, alive, 900 days
68.3
DO23529
0 years, male, NA, stage:4, alive, 930 days
67.8
DO45161
0 years, male, NA, stage:2, dead, 540 days
67.7
DO50850
0 years, male, NA, stage:3, alive, 720 days
67.1
DO45189
0 years, female, NA, stage:2, alive, 1200 days
66.9
DO45205
0 years, female, NA, stage:2, dead, 90 days
66.9
DO45173
0 years, male, NA, stage:3, alive, 1170 days
66.8
DO48737
0 years, male, NA, stage:1, alive, 720 days
66.8
DO45099
0 years, male, NA, stage:3, alive, 1590 days
66.6
DO50802
0 years, male, NA, stage:2, alive, 930 days
66.3
DO48695
0 years, male, NA, stage:2, alive, 720 days
65.9
DO23534
0 years, male, NA, stage:2, alive, 840 days
65.3
DO45107
0 years, female, NA, stage:2, alive, 1710 days
65.3
DO45303
0 years, female, NA, stage:3, alive, 990 days
65.0
DO23521
0 years, male, NA, stage:3, alive, 1110 days
64.9
DO50793
0 years, male, NA, stage:4, alive, 540 days
64.9
DO50783
0 years, male, NA, stage:3, alive, 480 days
64.8
DO45119
0 years, male, NA, stage:3, dead, 510 days
64.7
DO48706
0 years, male, NA, stage:2, alive, 870 days
64.2
DO23545
0 years, male, NA, stage:2, dead, 570 days
63.4
DO45221
0 years, female, NA, stage:4, dead, 390 days
62.8
DO48715
0 years, female, NA, stage:2, dead, 690 days
62.5
DO48721
0 years, female, NA, stage:1, alive, 900 days
62.4
DO45093
0 years, male, NA, stage:2, dead, 720 days
61.4
DO23512
0 years, male, NA, stage:1, alive, 1260 days
61.1
DO48733
0 years, male, NA, stage:2, alive, 600 days
60.5
DO45096
0 years, male, NA, stage:2, dead, 1290 days
60.0
DO50840
0 years, male, NA, stage:2, alive, 330 days
59.9
DO45247
0 years, female, NA, stage:2, alive, 210 days
59.1
DO50855
0 years, male, NA, stage:2, alive, 570 days
58.9
DO23514
0 years, male, NA, stage:2, alive, 1290 days
58.6
DO45092
0 years, male, NA, stage:4, dead, 1200 days
58.6
DO48736
0 years, female, NA, stage:1, alive, 600 days
58.2
DO23524
0 years, female, NA, stage:2, alive, 1050 days
58.1
DO23510
0 years, female, NA, stage:2, alive, 870 days
57.1
DO23538
0 years, male, NA, stage:2, alive, 450 days
56.8
DO50825
0 years, male, NA, stage:2, alive, 390 days
56.6
DO50785
0 years, male, NA, stage:4, dead, 90 days
56.4
DO45249
0 years, male, NA, stage:1, alive, 630 days
56.4
DO45299
0 years, female, NA, stage:1, alive, 1440 days
56.2
DO45207
0 years, male, NA, stage:1, alive, 1050 days
56.1
DO45223
0 years, male, NA, stage:4, alive, 1020 days
56.0
DO45237
0 years, male, NA, stage:2, alive, 900 days
55.6
DO23518
0 years, male, NA, stage:2, alive, 1320 days
55.4
DO50832
0 years, male, NA, stage:3, alive, 90 days
55.0
DO23526
0 years, male, NA, stage:3, alive, 1050 days
54.8
DO48701
0 years, male, NA, stage:2, alive, 780 days
54.8
DO45229
0 years, male, NA, stage:1, alive, 990 days
54.7
DO45157
0 years, male, NA, stage:2, alive, 1980 days
54.3
DO50803
0 years, female, NA, stage:1, alive, 540 days
54.3
DO48717
0 years, male, NA, stage:4, dead, 180 days
54.1
DO23537
0 years, male, NA, stage:2, dead, 900 days
53.6
DO45215
0 years, male, NA, stage:2, alive, 1170 days
53.6
DO50804
0 years, male, NA, stage:2, alive, 720 days
53.5
DO48720
0 years, female, NA, stage:2, alive, 570 days
53.4
DO23543
0 years, male, NA, stage:2, alive, 1020 days
53.1
DO45185
0 years, male, NA, stage:2, alive, 600 days
53.1
DO45283
0 years, male, NA, stage:3, alive, 510 days
53.1
DO48760
0 years, female, NA, stage:2, alive, 690 days
53.1
DO45111
0 years, male, NA, stage:2, alive, 1590 days
52.9
DO23550
0 years, male, NA, stage:1, alive, 990 days
52.7
DO45177
0 years, female, NA, stage:3, alive, 1260 days
52.6
DO48716
0 years, male, NA, stage:2, alive, 720 days
52.2
DO45115
0 years, male, NA, stage:2, alive, 840 days
52.1
DO45305
0 years, male, NA, stage:4, alive, 300 days
52.0
DO48677
0 years, male, NA, stage:3, alive, 1140 days
51.3
DO45263
0 years, male, NA, stage:3, dead, 270 days
51.1
DO45279
0 years, male, NA, stage:3, alive, 1290 days
50.9
DO45165
0 years, male, NA, stage:2, alive, 690 days
50.7
DO23544
0 years, male, NA, stage:2, alive, 960 days
50.6
DO50822
0 years, male, NA, stage:2, alive, 510 days
50.2
DO48704
0 years, female, NA, stage:3, alive, 750 days
50.2
DO45201
0 years, male, NA, stage:1, alive, 900 days
50.1
DO23551
0 years, male, NA, stage:3, dead, 150 days
50.1
DO45155
0 years, male, NA, stage:2, alive, 2160 days
49.4
DO45181
0 years, female, NA, stage:2, alive, 1200 days
49.1
DO45163
0 years, male, NA, stage:2, alive, 960 days
48.8
DO45139
0 years, male, NA, stage:3, alive, 1320 days
48.7
DO45261
0 years, male, NA, stage:3, alive, 990 days
48.7
DO48674
0 years, male, NA, stage:2, alive, 1260 days
48.6
DO45191
0 years, female, NA, stage:2, alive, 1200 days
48.3
DO48682
0 years, female, NA, stage:3, dead, 120 days
48.2
DO48759
0 years, male, NA, stage:3, alive, 720 days
48.0
DO45171
0 years, male, NA, stage:3, alive, 600 days
48.0
DO45175
0 years, male, NA, stage:2, alive, 1140 days
47.8
DO45137
0 years, male, NA, stage:1, alive, 1320 days
47.6
DO45211
0 years, male, NA, stage:3, alive, 240 days
47.6
DO227643
0 years, male, NA, stage:2, alive, 1260 days
47.6
DO23540
0 years, male, NA, stage:1, alive, 750 days
47.6
DO50808
0 years, male, NA, stage:2, alive, 570 days
47.4
DO23548
0 years, female, NA, stage:1, alive, 840 days
47.1
DO45233
0 years, male, NA, stage:3, alive, 900 days
47.0
DO45094
0 years, male, NA, stage:3, alive, 1650 days
47.0
DO50816
0 years, male, NA, stage:2, alive, 390 days
46.0
DO48732
0 years, male, NA, stage:3, alive, 630 days
45.9
DO45287
0 years, male, NA, stage:1, alive, 390 days
45.8
DO48679
0 years, male, NA, stage:2, alive, 1200 days
45.7
DO48761
0 years, male, NA, stage:2, alive, 870 days
45.2
DO23525
0 years, male, NA, stage:4, alive, 1050 days
44.8
DO50818
0 years, male, NA, stage:2, alive, 510 days
44.8
DO45289
0 years, female, NA, stage:3, alive, 360 days
44.8
DO23531
0 years, female, NA, stage:3, alive, 900 days
44.7
DO50798
0 years, male, NA, stage:3, dead, 30 days
44.6
DO50817
0 years, male, NA, stage:2, alive, 390 days
43.9
DO45301
0 years, male, NA, stage:2, dead, 1440 days
43.9
DO45307
0 years, female, NA, stage:4, dead, 240 days
43.9
DO23527
0 years, male, NA, stage:1, alive, 1050 days
43.6
DO45275
0 years, male, NA, stage:3, dead, 10 days
43.5
DO23533
0 years, male, NA, stage:2, alive, 900 days
43.4
DO45297
0 years, female, NA, stage:4, dead, 1260 days
43.4
DO50800
0 years, male, NA, stage:2, alive, 510 days
43.3
DO45113
0 years, male, NA, stage:3, alive, 1560 days
43.1
DO45141
0 years, male, NA, stage:2, alive, 1320 days
42.9
DO23519
0 years, male, NA, stage:3, alive, 630 days
42.8
DO45195
0 years, male, NA, stage:1, alive, 390 days
42.6
DO45133
0 years, male, NA, stage:3, dead, 660 days
42.4
DO45243
0 years, female, NA, stage:3, alive, 930 days
42.1
DO50776
0 years, male, NA, stage:1, alive, 690 days
42.0
DO45231
0 years, male, NA, stage:2, alive, 930 days
41.7
DO23549
0 years, male, NA, stage:3, alive, 990 days
41.5
DO23530
0 years, male, NA, stage:4, dead, 180 days
41.1
DO45277
0 years, male, NA, stage:3, alive, 600 days
40.7
DO23536
0 years, male, NA, stage:2, alive, 930 days
40.4
DO23547
0 years, male, NA, stage:1, alive, 1020 days
40.2
DO45123
0 years, female, NA, stage:2, dead, 570 days
40.0
DO45153
0 years, female, NA, stage:2, alive, 1380 days
39.9
DO227801
0 years, female, NA, stage:1, alive, 660 days
39.8
DO45253
0 years, male, NA, stage:2, alive, 870 days
39.8
DO23532
0 years, female, NA, stage:1, alive, 960 days
39.7
DO23539
0 years, male, NA, stage:1, alive, 1110 days
39.7
DO45255
0 years, male, NA, stage:3, alive, 720 days
39.5
DO45103
0 years, male, NA, stage:3, alive, 450 days
39.4
DO23508
0 years, female, NA, stage:2, alive, 390 days
38.8
DO45235
0 years, female, NA, stage:1, alive, 900 days
38.6
DO50814
0 years, male, NA, stage:3, alive, 420 days
38.6
DO45225
0 years, male, NA, stage:1, alive, 1050 days
37.5
DO45125
0 years, male, NA, stage:3, alive, 1680 days
37.3
DO23546
0 years, male, NA, stage:2, alive, 1050 days
37.3
DO50819
0 years, female, NA, stage:2, alive, 510 days
37.2
DO45257
0 years, male, NA, stage:3, alive, 810 days
37.2
DO50845
0 years, male, NA, stage:3, alive, 210 days
37.1
DO45097
0 years, male, NA, stage:3, alive, 1620 days
36.9
DO45251
0 years, female, NA, stage:2, alive, 900 days
35.8
DO50805
0 years, male, NA, stage:2, alive, 690 days
35.6
DO23541
0 years, male, NA, stage:2, alive, 930 days
35.3
DO48700
0 years, female, NA, stage:2, alive, 810 days
35.2
DO50809
0 years, male, NA, stage:3, dead, 720 days
35.1
DO50774
0 years, female, NA, stage:2, alive, 720 days
34.3
DO50807
0 years, male, NA, stage:1, alive, 540 days
34.2
DO48741
0 years, male, NA, stage:3, alive, 240 days
33.9
DO50813
0 years, male, NA, stage:2, alive, 420 days
33.7
DO45101
0 years, male, NA, stage:2, alive, 1680 days
33.4
DO50791
0 years, female, NA, stage:1, dead, 480 days
33.0
DO23509
0 years, male, NA, stage:3, dead, 780 days
33.0
DO45149
0 years, female, NA, stage:2, alive, 1260 days
32.9
DO45105
0 years, male, NA, stage:1, alive, 1680 days
31.0
DO48742
0 years, male, NA, stage:2, alive, 600 days
30.8
DO45143
0 years, male, NA, stage:3, alive, 1290 days
30.8
DO23523
0 years, male, NA, stage:3, alive, 1080 days
30.4
DO45095
0 years, male, NA, stage:2, alive, 1620 days
29.7
DO45285
0 years, male, NA, stage:3, alive, 480 days
29.6
DO45145
0 years, male, NA, stage:3, dead, 60 days
29.2
DO48743
0 years, female, NA, stage:2, alive, 570 days
29.1
DO48693
0 years, male, NA, stage:2, alive, 900 days
28.0
DO50829
0 years, male, NA, stage:3, alive, 570 days
27.5
DO45241
0 years, male, NA, stage:1, alive, 1080 days
27.1
DO45169
0 years, male, NA, stage:3, alive, 1350 days
26.5
DO50839
0 years, female, NA, stage:3, alive, 330 days
26.4
DO45167
0 years, male, NA, stage:2, dead, 1440 days
25.9
DO48727
0 years, female, NA, stage:2, dead, 390 days
24.7
DO45109
0 years, male, NA, stage:2, alive, 1590 days
22.9
DO48747
0 years, male, NA, stage:3, alive, 540 days
18.6
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
951
Tumor
1.2
477
Tumor
0.9
112
Tumor
0.9
545
Tumor
0.8
921
Tumor
0.8
221
Tumor
0.8
435
Tumor
0.8
443
Tumor
0.7
883
Tumor
0.7
817
Tumor
0.7
815
Tumor
0.7
1021
Tumor
0.7
743
Tumor
0.6
1015
Tumor
0.6
497
Tumor
0.6
271
Tumor
0.6
171
Tumor
0.6
663
Tumor
0.6
967
Tumor
0.6
533
Tumor
0.6
515
Tumor
0.6
647
Tumor
0.6
965
Tumor
0.5
131
Tumor
0.5
1031
Tumor
0.5
535
Tumor
0.5
873
Tumor
0.5
635
Tumor
0.5
865
Tumor
0.5
977
Tumor
0.5
981
Tumor
0.5
1025
Tumor
0.5
851
Tumor
0.5
983
Tumor
0.5
567
Tumor
0.5
445
Tumor
0.5
537
Tumor
0.4
1043
Tumor
0.4
471
Tumor
0.4
923
Tumor
0.4
553
Tumor
0.4
1041
Tumor
0.4
777
Tumor
0.4
425
Tumor
0.4
145
Tumor
0.4
517
Tumor
0.4
141
Tumor
0.4
695
Tumor
0.4
473
Tumor
0.4
881
Tumor
0.4
1013
Tumor
0.4
391
Tumor
0.3
127
Tumor
0.3
351
Tumor
0.3
357
Tumor
0.3
737
Tumor
0.3
285
Tumor
0.3
135
Tumor
0.3
727
Tumor
0.3
123
Tumor
0.3
571
Tumor
0.3
641
Tumor
0.3
483
Tumor
0.3
563
Tumor
0.3
975
Tumor
0.3
925
Tumor
0.3
943
Tumor
0.3
421
Tumor
0.3
261
Tumor
0.3
527
Tumor
0.3
277
Tumor
0.3
463
Tumor
0.3
955
Tumor
0.3
395
Tumor
0.2
327
Tumor
0.2
724
Normal
0.2
661
Tumor
0.2
147
Tumor
0.2
267
Tumor
0.2
911
Tumor
0.2
937
Tumor
0.2
341
Tumor
0.2
957
Tumor
0.2
433
Tumor
0.2
411
Tumor
0.2
963
Tumor
0.2
367
Tumor
0.2
142
Normal
0.2
513
Tumor
0.2
671
Tumor
0.2
363
Tumor
0.2
913
Tumor
0.1
385
Tumor
0.1
487
Tumor
0.1
331
Tumor
0.1
746
Normal
0.1
617
Tumor
0.1
465
Tumor
0.1
1027
Tumor
0.1
455
Tumor
0.1
355
Tumor
0.1
715
Tumor
0.1
113
Tumor
0.1
877
Tumor
0.1
223
Tumor
0.1
356
Normal
0.1
462
Normal
0.1
231
Tumor
0.1
863
Tumor
0.1
745
Tumor
0.1
481
Tumor
0.1
217
Tumor
0.1
557
Tumor
0.1
1045
Tumor
0.0
451
Tumor
0.0
431
Tumor
0.0
461
Tumor
0.0
755
Tumor
0.0
867
Tumor
0.0
966
Normal
0.0
814
Normal
0.0
474
Normal
0.0
738
Normal
0.0
212
Normal
0.0
964
Normal
0.0
416
Normal
0.0
952
Normal
0.0
528
Normal
0.0
415
Tumor
0.0
297
Tumor
0.0
861
Tumor
0.0
685
Tumor
0.0
618
Normal
0.0
696
Normal
0.0
968
Normal
0.0
514
Normal
0.0
482
Normal
0.0
191
Tumor
0.0
546
Normal
0.0
858
Normal
-0.1
125
Tumor
-0.1
518
Normal
-0.1
728
Normal
-0.1
864
Normal
-0.1
523
Tumor
-0.1
132
Normal
-0.1
412
Normal
-0.1
493
Tumor
-0.1
956
Normal
-0.1
786
Normal
-0.1
187
Tumor
-0.1
227
Tumor
-0.1
714
Normal
-0.1
978
Normal
-0.1
813
Tumor
-0.1
286
Normal
-0.1
494
Normal
-0.1
713
Tumor
-0.1
648
Normal
-0.1
742
Normal
-0.1
721
Tumor
-0.1
472
Normal
-0.1
723
Tumor
-0.1
1044
Normal
-0.1
448
Normal
-0.1
558
Normal
-0.1
128
Normal
-0.1
716
Normal
-0.1
534
Normal
-0.1
114
Normal
-0.1
278
Normal
-0.1
314
Normal
-0.1
868
Normal
-0.1
722
Normal
-0.1
1026
Normal
-0.1
958
Normal
-0.1
436
Normal
-0.1
328
Normal
-0.1
488
Normal
-0.1
218
Normal
-0.1
616
Normal
-0.1
484
Normal
-0.1
313
Tumor
-0.1
1028
Normal
-0.1
214
Normal
-0.1
447
Tumor
-0.1
257
Tumor
-0.1
884
Normal
-0.1
918
Normal
-0.1
938
Normal
-0.1
554
Normal
-0.1
1032
Normal
-0.1
698
Normal
-0.1
387
Tumor
-0.1
353
Tumor
-0.1
741
Tumor
-0.1
422
Normal
-0.1
944
Normal
-0.2
136
Normal
-0.2
572
Normal
-0.2
628
Normal
-0.2
1022
Normal
-0.2
824
Normal
-0.2
525
Tumor
-0.2
882
Normal
-0.2
818
Normal
-0.2
524
Normal
-0.2
568
Normal
-0.2
912
Normal
-0.2
785
Tumor
-0.2
393
Tumor
-0.2
111
Normal
-0.2
222
Normal
-0.2
124
Normal
-0.2
364
Normal
-0.2
1016
Normal
-0.2
756
Normal
-0.2
866
Normal
-0.2
778
Normal
-0.2
446
Normal
-0.2
137
Tumor
-0.2
926
Normal
-0.2
664
Normal
-0.2
258
Normal
-0.2
232
Normal
-0.2
312
Normal
-0.2
161
Tumor
-0.2
862
Normal
-0.2
922
Normal
-0.2
262
Normal
-0.2
186
Normal
-0.2
196
Normal
-0.2
915
Tumor
-0.2
564
Normal
-0.2
878
Normal
-0.2
126
Normal
-0.2
414
Normal
-0.2
516
Normal
-0.2
492
Normal
-0.2
298
Normal
-0.2
526
Normal
-0.2
984
Normal
-0.2
138
Normal
-0.2
857
Tumor
-0.2
365
Tumor
-0.2
874
Normal
-0.2
361
Tumor
-0.2
228
Normal
-0.2
434
Normal
-0.2
213
Tumor
-0.2
464
Normal
-0.2
432
Normal
-0.2
185
Tumor
-0.2
358
Normal
-0.2
332
Normal
-0.2
636
Normal
-0.3
362
Normal
-0.3
982
Normal
-0.3
172
Normal
-0.3
354
Normal
-0.3
924
Normal
-0.3
284
Normal
-0.3
272
Normal
-0.3
686
Normal
-0.3
466
Normal
-0.3
1014
Normal
-0.3
662
Normal
-0.3
615
Tumor
-0.3
424
Normal
-0.3
368
Normal
-0.3
816
Normal
-0.3
852
Normal
-0.3
162
Normal
-0.3
283
Tumor
-0.3
823
Tumor
-0.3
195
Tumor
-0.3
976
Normal
-0.3
1046
Normal
-0.3
1042
Normal
-0.3
914
Normal
-0.3
953
Tumor
-0.3
386
Normal
-0.3
573
Tumor
-0.3
343
Tumor
-0.3
642
Normal
-0.3
396
Normal
-0.3
268
Normal
-0.3
376
Normal
-0.3
148
Normal
-0.3
538
Normal
-0.3
574
Normal
-0.4
498
Normal
-0.4
478
Normal
-0.4
426
Normal
-0.4
916
Normal
-0.4
423
Tumor
-0.4
427
Tumor
-0.4
428
Normal
-0.4
665
Tumor
-0.4
352
Normal
-0.4
394
Normal
-0.4
452
Normal
-0.4
342
Normal
-0.4
456
Normal
-0.4
388
Normal
-0.4
666
Normal
-0.4
954
Normal
-0.4
146
Normal
-0.4
392
Normal
-0.4
444
Normal
-0.4
344
Normal
-0.4
536
Normal
-0.4
188
Normal
-0.5
384
Normal
-0.5
672
Normal
-0.5
311
Tumor
-0.5
224
Normal
-0.5
468
Normal
-0.5
366
Normal
-0.5
697
Tumor
-0.5
413
Tumor
-0.5
192
Normal
-0.6
627
Tumor
-0.6
211
Tumor
-0.6
744
Normal
-0.6
917
Tumor
-0.6
383
Tumor
-0.6
375
Tumor
-0.6
491
Tumor
-0.7
467
Tumor
-0.7
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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
