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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.
UBXN1 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
74.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
215.6
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
188.6
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
163.4
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
163.3
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
163.2
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
152.5
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
151.2
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
149.3
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
149.2
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
147.9
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
147.1
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
144.7
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
141.0
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
137.0
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
135.4
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
130.2
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
129.4
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
128.9
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
128.1
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
127.7
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
126.7
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
125.5
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
124.4
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
124.0
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
122.3
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
121.7
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
118.6
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
117.3
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
117.3
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
116.9
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
114.7
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
114.1
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
113.6
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
112.8
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
109.3
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
109.1
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
109.1
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
108.6
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
108.2
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
107.7
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
106.8
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
106.2
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
105.3
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
105.2
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
104.8
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
104.7
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
104.4
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
104.1
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
104.0
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
101.5
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
100.1
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
99.7
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
99.1
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
99.1
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
99.0
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
97.9
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
97.9
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
97.6
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
97.5
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
97.2
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
96.8
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
96.6
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
96.4
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
96.1
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
95.8
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
94.8
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
94.8
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
94.5
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
94.2
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
93.8
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
93.3
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
93.0
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
92.9
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
92.5
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
92.3
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
92.0
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
91.8
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
91.7
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
91.6
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
90.5
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
90.1
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
89.9
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
89.4
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
89.3
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
89.0
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
89.0
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
88.5
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
88.2
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
88.1
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
88.1
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
88.0
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
87.7
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
86.8
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
86.7
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
85.9
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
85.7
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
85.5
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
85.0
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
85.0
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
84.9
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
84.8
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
84.7
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
84.5
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
84.5
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
84.3
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
84.3
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
84.0
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
83.9
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
83.8
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
83.5
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
82.8
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
82.7
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
82.2
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
82.2
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
82.1
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
82.1
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
82.0
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
81.8
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
81.8
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
81.8
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
81.3
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
81.2
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
80.7
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
80.5
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
80.3
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
79.4
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
79.0
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
78.2
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
78.0
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
78.0
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
77.7
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
77.5
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
77.2
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
77.2
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
77.1
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
77.1
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
77.0
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
76.9
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
76.7
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
76.6
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
76.1
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
76.1
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
75.7
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
75.6
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
75.5
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
75.3
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
74.8
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
74.7
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
74.4
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
74.3
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
74.1
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
74.0
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
73.7
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
73.6
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
73.4
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
73.1
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
73.0
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
72.9
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
72.8
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
72.5
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
72.0
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
71.8
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
71.6
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
71.6
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
71.6
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
71.5
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
71.0
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
70.9
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
70.8
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
70.8
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
70.8
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
70.6
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
70.5
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
70.4
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
70.4
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
70.3
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
70.1
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
70.0
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
69.7
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
69.6
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
69.3
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
69.1
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
68.9
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
68.9
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
68.8
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
68.7
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
68.2
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
68.2
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
68.0
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
67.9
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
67.7
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
67.4
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
67.2
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
67.2
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
67.0
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
66.8
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
66.8
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
66.8
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
66.5
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
66.5
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
66.4
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
66.0
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
65.9
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
65.8
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
65.7
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
65.6
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
65.6
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
65.6
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
65.6
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
65.6
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
65.6
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
65.5
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
65.3
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
65.2
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
65.0
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
65.0
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
64.8
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
64.2
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
64.1
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
64.0
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
63.8
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
63.6
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
63.0
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
62.9
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
62.5
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
62.4
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
62.3
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
62.2
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
61.9
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
61.7
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
61.7
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
61.3
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
61.2
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
60.7
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
60.6
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
60.3
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
59.8
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
59.7
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
59.7
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
59.5
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
59.3
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
59.3
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
59.2
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
58.9
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
58.7
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
58.6
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
58.5
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
58.4
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
58.4
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
58.4
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
58.4
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
58.2
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
58.2
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
58.1
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
58.1
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
58.0
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
57.7
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
57.6
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
57.5
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
57.4
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
57.1
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
57.1
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
56.8
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
56.8
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
56.7
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
56.6
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
56.5
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
56.1
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
55.9
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
55.9
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
55.8
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
55.8
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
55.8
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
55.6
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
55.4
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
55.3
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
55.3
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
55.2
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
55.1
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
54.9
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
54.7
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
54.7
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
54.5
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
53.8
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
53.8
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
53.7
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
53.6
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
53.4
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
53.2
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
53.2
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
52.8
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
52.5
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
52.5
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
51.7
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
51.6
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
51.1
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
51.0
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
50.8
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
50.8
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
50.8
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
50.7
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
50.6
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
50.4
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
50.3
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
50.0
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
50.0
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
49.8
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
49.6
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
49.3
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
49.2
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
48.9
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
48.7
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
48.6
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
48.5
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
48.4
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
48.3
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
48.1
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
47.9
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
47.9
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
47.9
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
47.7
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
47.3
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
47.3
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
47.2
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
47.2
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
47.0
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
46.5
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
46.3
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
46.3
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
45.8
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
45.6
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
45.6
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
45.4
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
45.3
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
45.1
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
44.9
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
44.8
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
44.8
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
44.7
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
44.3
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
44.1
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
43.8
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
43.7
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
42.7
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
42.5
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
42.4
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
41.9
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
41.6
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
40.5
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
40.3
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
40.0
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
39.4
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
39.3
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
35.8
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
35.8
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
35.0
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
35.0
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
34.9
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
31.0
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
28.5
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
27.8
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 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.
UBXN1 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
50.5
Number of samples
231
Samples
Sample
Description
TPM
DO45289
0 years, female, NA, stage:3, alive, 360 days
185.0
DO50839
0 years, female, NA, stage:3, alive, 330 days
141.1
DO45285
0 years, male, NA, stage:3, alive, 480 days
117.2
DO23508
0 years, female, NA, stage:2, alive, 390 days
117.0
DO50814
0 years, male, NA, stage:3, alive, 420 days
108.3
DO45277
0 years, male, NA, stage:3, alive, 600 days
107.5
DO23523
0 years, male, NA, stage:3, alive, 1080 days
101.9
DO45209
0 years, male, NA, stage:4, alive, 1350 days
101.1
DO48747
0 years, male, NA, stage:3, alive, 540 days
98.2
DO45283
0 years, male, NA, stage:3, alive, 510 days
95.8
DO48737
0 years, male, NA, stage:1, alive, 720 days
95.2
DO45305
0 years, male, NA, stage:4, alive, 300 days
90.2
DO45307
0 years, female, NA, stage:4, dead, 240 days
87.9
DO23519
0 years, male, NA, stage:3, alive, 630 days
87.0
DO45217
0 years, female, NA, stage:3, dead, 270 days
85.1
DO45303
0 years, female, NA, stage:3, alive, 990 days
84.9
DO48697
0 years, female, NA, stage:2, dead, 810 days
84.1
DO45297
0 years, female, NA, stage:4, dead, 1260 days
82.6
DO50799
0 years, female, NA, stage:2, alive, 540 days
81.8
DO48732
0 years, male, NA, stage:3, alive, 630 days
81.1
DO23526
0 years, male, NA, stage:3, alive, 1050 days
81.0
DO45185
0 years, male, NA, stage:2, alive, 600 days
80.6
DO45092
0 years, male, NA, stage:4, dead, 1200 days
80.0
DO45259
0 years, male, NA, stage:3, alive, 330 days
77.9
DO45179
0 years, female, NA, stage:2, alive, 600 days
77.3
DO45189
0 years, female, NA, stage:2, alive, 1200 days
76.6
DO23511
0 years, female, NA, stage:3, dead, 180 days
73.7
DO45273
0 years, male, NA, stage:2, alive, 480 days
73.6
DO50778
0 years, male, NA, stage:4, alive, 630 days
72.9
DO45249
0 years, male, NA, stage:1, alive, 630 days
71.2
DO48715
0 years, female, NA, stage:2, dead, 690 days
70.9
DO45287
0 years, male, NA, stage:1, alive, 390 days
70.7
DO23525
0 years, male, NA, stage:4, alive, 1050 days
70.1
DO45299
0 years, female, NA, stage:1, alive, 1440 days
68.5
DO50829
0 years, male, NA, stage:3, alive, 570 days
68.3
DO48730
0 years, female, NA, stage:2, alive, 630 days
67.6
DO45265
0 years, male, NA, stage:3, alive, 1020 days
67.3
DO45145
0 years, male, NA, stage:3, dead, 60 days
66.9
DO50806
0 years, male, NA, stage:4, alive, 540 days
66.3
DO50791
0 years, female, NA, stage:1, dead, 480 days
66.3
DO45301
0 years, male, NA, stage:2, dead, 1440 days
65.7
DO50793
0 years, male, NA, stage:4, alive, 540 days
65.1
DO23530
0 years, male, NA, stage:4, dead, 180 days
63.2
DO45095
0 years, male, NA, stage:2, alive, 1620 days
62.9
DO23536
0 years, male, NA, stage:2, alive, 930 days
62.8
DO45173
0 years, male, NA, stage:3, alive, 1170 days
62.7
DO23515
0 years, male, NA, stage:2, alive, 1230 days
62.5
DO45251
0 years, female, NA, stage:2, alive, 900 days
62.4
DO50808
0 years, male, NA, stage:2, alive, 570 days
61.9
DO23547
0 years, male, NA, stage:1, alive, 1020 days
61.7
DO50844
0 years, male, NA, stage:4, alive, 300 days
61.6
DO50805
0 years, male, NA, stage:2, alive, 690 days
60.0
DO45275
0 years, male, NA, stage:3, dead, 10 days
59.8
DO48679
0 years, male, NA, stage:2, alive, 1200 days
59.7
DO45141
0 years, male, NA, stage:2, alive, 1320 days
59.3
DO48723
0 years, male, NA, stage:1, alive, 600 days
58.9
DO50855
0 years, male, NA, stage:2, alive, 570 days
58.7
DO50809
0 years, male, NA, stage:3, dead, 720 days
58.5
DO45267
0 years, male, NA, stage:3, dead, 570 days
58.5
DO45221
0 years, female, NA, stage:4, dead, 390 days
58.5
DO48751
0 years, male, NA, stage:2, dead, 480 days
58.1
DO45109
0 years, male, NA, stage:2, alive, 1590 days
58.1
DO45183
0 years, female, NA, stage:2, dead, 570 days
57.1
DO23510
0 years, female, NA, stage:2, alive, 870 days
57.0
DO50811
0 years, male, NA, stage:1, alive, 450 days
56.6
DO23516
0 years, male, NA, stage:3, dead, 20 days
56.5
DO50813
0 years, male, NA, stage:2, alive, 420 days
56.4
DO45119
0 years, male, NA, stage:3, dead, 510 days
56.4
DO45103
0 years, male, NA, stage:3, alive, 450 days
56.3
DO50802
0 years, male, NA, stage:2, alive, 930 days
56.2
DO45115
0 years, male, NA, stage:2, alive, 840 days
55.8
DO48759
0 years, male, NA, stage:3, alive, 720 days
55.8
DO23533
0 years, male, NA, stage:2, alive, 900 days
55.5
DO45243
0 years, female, NA, stage:3, alive, 930 days
55.4
DO45279
0 years, male, NA, stage:3, alive, 1290 days
55.3
DO45139
0 years, male, NA, stage:3, alive, 1320 days
54.9
DO48682
0 years, female, NA, stage:3, dead, 120 days
54.8
DO45125
0 years, male, NA, stage:3, alive, 1680 days
54.8
DO48733
0 years, male, NA, stage:2, alive, 600 days
54.8
DO45261
0 years, male, NA, stage:3, alive, 990 days
54.6
DO23535
0 years, male, NA, stage:1, alive, 960 days
54.3
DO50819
0 years, female, NA, stage:2, alive, 510 days
54.0
DO23545
0 years, male, NA, stage:2, dead, 570 days
52.9
DO45093
0 years, male, NA, stage:2, dead, 720 days
52.6
DO45281
0 years, male, NA, stage:4, alive, 750 days
52.1
DO50840
0 years, male, NA, stage:2, alive, 330 days
52.0
DO23542
0 years, male, NA, stage:3, alive, 960 days
51.8
DO45219
0 years, male, NA, stage:2, alive, 1080 days
51.7
DO23540
0 years, male, NA, stage:1, alive, 750 days
51.3
DO45205
0 years, female, NA, stage:2, dead, 90 days
51.2
DO45211
0 years, male, NA, stage:3, alive, 240 days
51.2
DO48757
0 years, female, NA, stage:3, alive, 480 days
51.1
DO50815
0 years, male, NA, stage:3, alive, 150 days
51.1
DO50816
0 years, male, NA, stage:2, alive, 390 days
50.7
DO45131
0 years, male, NA, stage:4, dead, 360 days
50.5
DO45269
0 years, male, NA, stage:3, alive, 750 days
49.9
DO50850
0 years, male, NA, stage:3, alive, 720 days
49.8
DO48693
0 years, male, NA, stage:2, alive, 900 days
49.6
DO50818
0 years, male, NA, stage:2, alive, 510 days
48.9
DO45127
0 years, male, NA, stage:3, dead, 420 days
48.6
DO50776
0 years, male, NA, stage:1, alive, 690 days
47.6
DO45157
0 years, male, NA, stage:2, alive, 1980 days
47.5
DO48736
0 years, female, NA, stage:1, alive, 600 days
47.4
DO45161
0 years, male, NA, stage:2, dead, 540 days
47.4
DO23549
0 years, male, NA, stage:3, alive, 990 days
47.2
DO23524
0 years, female, NA, stage:2, alive, 1050 days
46.8
DO48672
0 years, male, NA, stage:2, alive, 450 days
46.7
DO45163
0 years, male, NA, stage:2, alive, 960 days
46.7
DO45255
0 years, male, NA, stage:3, alive, 720 days
46.6
DO50800
0 years, male, NA, stage:2, alive, 510 days
46.5
DO48701
0 years, male, NA, stage:2, alive, 780 days
46.5
DO45193
0 years, female, NA, stage:4, dead, 120 days
46.5
DO23532
0 years, female, NA, stage:1, alive, 960 days
45.8
DO23539
0 years, male, NA, stage:1, alive, 1110 days
45.5
DO45143
0 years, male, NA, stage:3, alive, 1290 days
45.5
DO45227
0 years, female, NA, stage:2, alive, 1020 days
45.2
DO45231
0 years, male, NA, stage:2, alive, 930 days
44.8
DO23546
0 years, male, NA, stage:2, alive, 1050 days
44.7
DO45191
0 years, female, NA, stage:2, alive, 1200 days
44.4
DO45155
0 years, male, NA, stage:2, alive, 2160 days
44.4
DO23512
0 years, male, NA, stage:1, alive, 1260 days
44.4
DO23534
0 years, male, NA, stage:2, alive, 840 days
44.3
DO45097
0 years, male, NA, stage:3, alive, 1620 days
44.3
DO45165
0 years, male, NA, stage:2, alive, 690 days
44.2
DO45171
0 years, male, NA, stage:3, alive, 600 days
44.0
DO50822
0 years, male, NA, stage:2, alive, 510 days
44.0
DO23528
0 years, female, NA, stage:2, alive, 1020 days
43.7
DO45245
0 years, female, NA, stage:2, dead, 240 days
42.9
DO45257
0 years, male, NA, stage:3, alive, 810 days
42.8
DO50832
0 years, male, NA, stage:3, alive, 90 days
42.8
DO45237
0 years, male, NA, stage:2, alive, 900 days
42.3
DO48700
0 years, female, NA, stage:2, alive, 810 days
42.3
DO45153
0 years, female, NA, stage:2, alive, 1380 days
42.3
DO45107
0 years, female, NA, stage:2, alive, 1710 days
42.1
DO45121
0 years, male, NA, stage:3, alive, 1530 days
41.9
DO45213
0 years, male, NA, stage:1, alive, 1200 days
41.7
DO45135
0 years, male, NA, stage:1, alive, 1410 days
41.7
DO23514
0 years, male, NA, stage:2, alive, 1290 days
41.7
DO45229
0 years, male, NA, stage:1, alive, 990 days
41.4
DO45137
0 years, male, NA, stage:1, alive, 1320 days
41.2
DO48720
0 years, female, NA, stage:2, alive, 570 days
40.9
DO45223
0 years, male, NA, stage:4, alive, 1020 days
40.9
DO48716
0 years, male, NA, stage:2, alive, 720 days
40.8
DO48717
0 years, male, NA, stage:4, dead, 180 days
40.7
DO48725
0 years, male, NA, stage:1, alive, 780 days
40.4
DO45099
0 years, male, NA, stage:3, alive, 1590 days
40.3
DO45187
0 years, female, NA, stage:1, alive, 1260 days
40.2
DO48681
0 years, male, NA, stage:2, alive, 900 days
40.2
DO45241
0 years, male, NA, stage:1, alive, 1080 days
40.0
DO45159
0 years, male, NA, stage:3, alive, 1470 days
40.0
DO48719
0 years, male, NA, stage:2, alive, 690 days
39.8
DO48728
0 years, female, NA, stage:2, alive, 150 days
39.2
DO45094
0 years, male, NA, stage:3, alive, 1650 days
39.0
DO50804
0 years, male, NA, stage:2, alive, 720 days
39.0
DO23552
0 years, female, NA, stage:1, alive, 810 days
38.8
DO23543
0 years, male, NA, stage:2, alive, 1020 days
38.7
DO50787
0 years, male, NA, stage:3, alive, 480 days
38.7
DO45096
0 years, male, NA, stage:2, dead, 1290 days
38.6
DO45111
0 years, male, NA, stage:2, alive, 1590 days
38.6
DO50825
0 years, male, NA, stage:2, alive, 390 days
38.4
DO50798
0 years, male, NA, stage:3, dead, 30 days
38.4
DO45201
0 years, male, NA, stage:1, alive, 900 days
38.4
DO45149
0 years, female, NA, stage:2, alive, 1260 days
38.4
DO50803
0 years, female, NA, stage:1, alive, 540 days
38.2
DO23541
0 years, male, NA, stage:2, alive, 930 days
38.1
DO45117
0 years, female, NA, stage:2, dead, 1110 days
38.1
DO50857
0 years, male, NA, stage:2, alive, 210 days
38.1
DO48712
0 years, male, NA, stage:2, alive, 810 days
38.0
DO50817
0 years, male, NA, stage:2, alive, 390 days
37.6
DO48695
0 years, male, NA, stage:2, alive, 720 days
37.3
DO45203
0 years, female, NA, stage:2, alive, 1170 days
37.1
DO23513
0 years, male, NA, stage:3, alive, 1200 days
37.0
DO50807
0 years, male, NA, stage:1, alive, 540 days
36.8
DO45253
0 years, male, NA, stage:2, alive, 870 days
36.6
DO45181
0 years, female, NA, stage:2, alive, 1200 days
36.2
DO23518
0 years, male, NA, stage:2, alive, 1320 days
36.2
DO23521
0 years, male, NA, stage:3, alive, 1110 days
36.1
DO50783
0 years, male, NA, stage:3, alive, 480 days
36.1
DO48706
0 years, male, NA, stage:2, alive, 870 days
36.0
DO45133
0 years, male, NA, stage:3, dead, 660 days
35.9
DO23548
0 years, female, NA, stage:1, alive, 840 days
35.8
DO45225
0 years, male, NA, stage:1, alive, 1050 days
35.4
DO50785
0 years, male, NA, stage:4, dead, 90 days
35.3
DO45091
0 years, male, NA, stage:2, dead, 1320 days
35.2
DO48746
0 years, male, NA, stage:3, alive, 570 days
34.6
DO45177
0 years, female, NA, stage:3, alive, 1260 days
34.3
DO45169
0 years, male, NA, stage:3, alive, 1350 days
34.3
DO50820
0 years, female, NA, stage:3, alive, 510 days
33.9
DO50789
0 years, female, NA, stage:2, alive, 570 days
33.7
DO50845
0 years, male, NA, stage:3, alive, 210 days
33.3
DO45101
0 years, male, NA, stage:2, alive, 1680 days
33.2
DO48743
0 years, female, NA, stage:2, alive, 570 days
33.0
DO45235
0 years, female, NA, stage:1, alive, 900 days
33.0
DO45113
0 years, male, NA, stage:3, alive, 1560 days
32.6
DO48677
0 years, male, NA, stage:3, alive, 1140 days
32.4
DO45207
0 years, male, NA, stage:1, alive, 1050 days
32.2
DO23537
0 years, male, NA, stage:2, dead, 900 days
32.0
DO48727
0 years, female, NA, stage:2, dead, 390 days
32.0
DO45199
0 years, female, NA, stage:2, alive, 1350 days
31.5
DO45105
0 years, male, NA, stage:1, alive, 1680 days
31.0
DO45247
0 years, female, NA, stage:2, alive, 210 days
31.0
DO50859
0 years, male, NA, stage:2, alive, 180 days
30.7
DO45175
0 years, male, NA, stage:2, alive, 1140 days
30.3
DO45123
0 years, female, NA, stage:2, dead, 570 days
30.3
DO227643
0 years, male, NA, stage:2, alive, 1260 days
30.2
DO45129
0 years, male, NA, stage:3, alive, 1470 days
30.2
DO48721
0 years, female, NA, stage:1, alive, 900 days
30.0
DO45215
0 years, male, NA, stage:2, alive, 1170 days
29.3
DO48761
0 years, male, NA, stage:2, alive, 870 days
29.2
DO48674
0 years, male, NA, stage:2, alive, 1260 days
29.0
DO227801
0 years, female, NA, stage:1, alive, 660 days
29.0
DO48742
0 years, male, NA, stage:2, alive, 600 days
28.6
DO45197
0 years, male, NA, stage:2, alive, 1170 days
28.5
DO50774
0 years, female, NA, stage:2, alive, 720 days
28.2
DO48741
0 years, male, NA, stage:3, alive, 240 days
28.1
DO23529
0 years, male, NA, stage:4, alive, 930 days
27.8
DO45263
0 years, male, NA, stage:3, dead, 270 days
27.7
DO23551
0 years, male, NA, stage:3, dead, 150 days
27.6
DO45233
0 years, male, NA, stage:3, alive, 900 days
27.5
DO23517
0 years, male, NA, stage:2, alive, 1200 days
27.1
DO23544
0 years, male, NA, stage:2, alive, 960 days
27.0
DO23527
0 years, male, NA, stage:1, alive, 1050 days
25.8
DO48704
0 years, female, NA, stage:3, alive, 750 days
25.6
DO48760
0 years, female, NA, stage:2, alive, 690 days
25.4
DO23550
0 years, male, NA, stage:1, alive, 990 days
25.1
DO23531
0 years, female, NA, stage:3, alive, 900 days
24.4
DO23538
0 years, male, NA, stage:2, alive, 450 days
22.8
DO45239
0 years, male, NA, stage:2, alive, 870 days
21.2
DO45195
0 years, male, NA, stage:1, alive, 390 days
20.1
DO45167
0 years, male, NA, stage:2, dead, 1440 days
20.0
DO23509
0 years, male, NA, stage:3, dead, 780 days
19.3
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
883
Tumor
0.9
635
Tumor
0.8
573
Tumor
0.7
1021
Tumor
0.7
211
Tumor
0.7
815
Tumor
0.7
661
Tumor
0.7
533
Tumor
0.7
537
Tumor
0.7
913
Tumor
0.6
925
Tumor
0.6
937
Tumor
0.6
487
Tumor
0.6
283
Tumor
0.5
777
Tumor
0.5
463
Tumor
0.5
387
Tumor
0.5
921
Tumor
0.5
123
Tumor
0.5
814
Normal
0.5
477
Tumor
0.5
425
Tumor
0.5
535
Tumor
0.5
525
Tumor
0.5
865
Tumor
0.5
813
Tumor
0.4
923
Tumor
0.4
911
Tumor
0.4
131
Tumor
0.4
271
Tumor
0.4
967
Tumor
0.4
737
Tumor
0.4
647
Tumor
0.4
527
Tumor
0.4
447
Tumor
0.4
257
Tumor
0.4
727
Tumor
0.4
498
Normal
0.4
455
Tumor
0.4
125
Tumor
0.4
513
Tumor
0.4
311
Tumor
0.4
415
Tumor
0.4
413
Tumor
0.4
145
Tumor
0.3
1027
Tumor
0.3
493
Tumor
0.3
491
Tumor
0.3
391
Tumor
0.3
478
Normal
0.3
1013
Tumor
0.3
367
Tumor
0.3
517
Tumor
0.3
365
Tumor
0.3
943
Tumor
0.3
617
Tumor
0.3
483
Tumor
0.3
161
Tumor
0.3
492
Normal
0.3
1015
Tumor
0.3
863
Tumor
0.3
545
Tumor
0.3
627
Tumor
0.3
135
Tumor
0.3
515
Tumor
0.3
741
Tumor
0.3
663
Tumor
0.3
221
Tumor
0.3
327
Tumor
0.3
411
Tumor
0.3
471
Tumor
0.3
523
Tumor
0.3
465
Tumor
0.3
362
Normal
0.2
963
Tumor
0.2
113
Tumor
0.2
978
Normal
0.2
553
Tumor
0.2
187
Tumor
0.2
192
Normal
0.2
217
Tumor
0.2
444
Normal
0.2
361
Tumor
0.2
975
Tumor
0.2
916
Normal
0.2
277
Tumor
0.2
873
Tumor
0.2
112
Tumor
0.2
957
Tumor
0.2
497
Tumor
0.2
755
Tumor
0.2
966
Normal
0.2
141
Tumor
0.2
955
Tumor
0.2
147
Tumor
0.2
285
Tumor
0.2
467
Tumor
0.2
142
Normal
0.2
823
Tumor
0.2
881
Tumor
0.2
1041
Tumor
0.2
954
Normal
0.2
434
Normal
0.2
195
Tumor
0.2
861
Tumor
0.2
268
Normal
0.2
524
Normal
0.2
297
Tumor
0.2
488
Normal
0.2
461
Tumor
0.2
363
Tumor
0.2
424
Normal
0.2
981
Tumor
0.2
1025
Tumor
0.2
213
Tumor
0.2
915
Tumor
0.2
313
Tumor
0.2
884
Normal
0.2
944
Normal
0.1
484
Normal
0.1
191
Tumor
0.1
785
Tumor
0.1
212
Normal
0.1
968
Normal
0.1
137
Tumor
0.1
917
Tumor
0.1
938
Normal
0.1
443
Tumor
0.1
146
Normal
0.1
563
Tumor
0.1
538
Normal
0.1
867
Tumor
0.1
185
Tumor
0.1
951
Tumor
0.1
977
Tumor
0.1
851
Tumor
0.1
435
Tumor
0.1
375
Tumor
0.1
451
Tumor
0.1
1031
Tumor
0.1
665
Tumor
0.1
426
Normal
0.1
355
Tumor
0.1
188
Normal
0.1
516
Normal
0.1
126
Normal
0.1
518
Normal
0.1
721
Tumor
0.1
494
Normal
0.1
982
Normal
0.1
385
Tumor
0.1
528
Normal
0.1
918
Normal
0.1
422
Normal
0.1
546
Normal
0.1
924
Normal
0.1
427
Tumor
0.1
414
Normal
0.1
127
Tumor
0.1
878
Normal
0.1
1028
Normal
0.1
956
Normal
0.1
262
Normal
0.1
695
Tumor
0.1
331
Tumor
0.1
1022
Normal
0.1
433
Tumor
0.1
353
Tumor
0.1
958
Normal
0.1
536
Normal
0.1
481
Tumor
0.1
284
Normal
0.1
267
Tumor
0.1
728
Normal
0.1
864
Normal
0.1
473
Tumor
0.1
696
Normal
0.1
514
Normal
0.1
428
Normal
0.0
1042
Normal
0.0
615
Tumor
0.0
868
Normal
0.0
952
Normal
0.0
1016
Normal
0.0
272
Normal
0.0
111
Normal
0.0
715
Tumor
0.0
723
Tumor
0.0
298
Normal
0.0
922
Normal
0.0
136
Normal
0.0
686
Normal
0.0
395
Tumor
0.0
526
Normal
0.0
558
Normal
0.0
343
Tumor
0.0
743
Tumor
0.0
278
Normal
0.0
1043
Tumor
0.0
328
Normal
0.0
416
Normal
0.0
926
Normal
0.0
912
Normal
0.0
138
Normal
0.0
724
Normal
0.0
223
Tumor
0.0
857
Tumor
0.0
312
Normal
0.0
368
Normal
0.0
384
Normal
0.0
356
Normal
0.0
436
Normal
0.0
386
Normal
0.0
357
Tumor
0.0
616
Normal
0.0
464
Normal
0.0
474
Normal
0.0
171
Tumor
0.0
862
Normal
0.0
641
Tumor
0.0
877
Tumor
0.0
352
Normal
0.0
874
Normal
0.0
412
Normal
0.0
383
Tumor
0.0
716
Normal
0.0
482
Normal
0.0
114
Normal
0.0
431
Tumor
0.0
976
Normal
0.0
396
Normal
0.0
744
Normal
0.0
628
Normal
0.0
132
Normal
0.0
666
Normal
0.0
366
Normal
0.0
756
Normal
0.0
224
Normal
0.0
714
Normal
0.0
984
Normal
0.0
1045
Tumor
0.0
286
Normal
0.0
186
Normal
0.0
472
Normal
0.0
421
Tumor
0.0
817
Tumor
-0.1
462
Normal
-0.1
468
Normal
-0.1
128
Normal
-0.1
364
Normal
-0.1
786
Normal
-0.1
148
Normal
-0.1
557
Tumor
-0.1
746
Normal
-0.1
738
Normal
-0.1
534
Normal
-0.1
574
Normal
-0.1
1014
Normal
-0.1
172
Normal
-0.1
124
Normal
-0.1
1026
Normal
-0.1
344
Normal
-0.1
162
Normal
-0.1
466
Normal
-0.1
778
Normal
-0.1
642
Normal
-0.1
341
Tumor
-0.1
218
Normal
-0.1
698
Normal
-0.1
953
Tumor
-0.1
572
Normal
-0.1
882
Normal
-0.1
314
Normal
-0.1
745
Tumor
-0.1
648
Normal
-0.1
1044
Normal
-0.1
664
Normal
-0.1
332
Normal
-0.1
852
Normal
-0.1
456
Normal
-0.1
351
Tumor
-0.1
423
Tumor
-0.1
222
Normal
-0.1
554
Normal
-0.1
394
Normal
-0.1
722
Normal
-0.1
1046
Normal
-0.1
196
Normal
-0.1
858
Normal
-0.1
214
Normal
-0.1
446
Normal
-0.1
914
Normal
-0.1
964
Normal
-0.1
258
Normal
-0.1
568
Normal
-0.1
452
Normal
-0.1
636
Normal
-0.1
713
Tumor
-0.1
866
Normal
-0.1
376
Normal
-0.2
697
Tumor
-0.2
393
Tumor
-0.2
432
Normal
-0.2
564
Normal
-0.2
261
Tumor
-0.2
388
Normal
-0.2
392
Normal
-0.2
1032
Normal
-0.2
618
Normal
-0.2
742
Normal
-0.2
816
Normal
-0.2
227
Tumor
-0.2
965
Tumor
-0.2
824
Normal
-0.2
231
Tumor
-0.2
232
Normal
-0.2
983
Tumor
-0.2
228
Normal
-0.2
354
Normal
-0.2
685
Tumor
-0.2
671
Tumor
-0.2
672
Normal
-0.2
448
Normal
-0.2
662
Normal
-0.2
358
Normal
-0.3
342
Normal
-0.3
818
Normal
-0.3
571
Tumor
-0.4
567
Tumor
-0.4
445
Tumor
-0.5
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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
