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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.
CSRP1 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
67.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-BC-A10Z-01A
0 years, female, white, stage:Stage I, dead, 34 days
288.2
TCGA-DD-AA3A-01A
0 years, female, white, stage:Stage I, dead, 410 days
282.3
TCGA-DD-AAE6-01A
0 years, female, asian, stage:Stage I, alive, 141 days
280.9
TCGA-ZS-A9CF-01A
0 years, male, white, stage:Stage II, alive, 2412 days
278.7
TCGA-CC-A3M9-01A
0 years, male, asian, stage:Stage IIIA, dead, 300 days
246.1
TCGA-BC-A3KF-01A
0 years, female, white, stage:Stage I, alive, 8 days
243.5
TCGA-BC-A10Y-01A
0 years, male, white, stage:'--, dead, 711 days
228.0
TCGA-DD-A3A5-01A
0 years, female, white, stage:Stage III, dead, 3125 days
208.0
TCGA-XR-A8TG-01A
0 years, male, white, stage:Stage I, alive, 898 days
200.5
TCGA-HP-A5N0-01A
0 years, female, stage:'--, dead, 752 days
185.2
TCGA-ED-A7XO-01A
0 years, male, asian, stage:Stage IIIA, alive, 427 days
178.9
TCGA-ED-A7PX-01A
0 years, female, asian, stage:Stage II, alive, 6 days
178.5
TCGA-CC-A3MA-01A
0 years, male, asian, stage:Stage IIIA, dead, 303 days
177.9
TCGA-ZP-A9D0-01A
0 years, female, black or african american, stage:'--, alive, 1091 days
174.9
TCGA-RC-A7SK-01A
0 years, male, asian, stage:Stage I, alive, 472 days
164.2
TCGA-DD-AACV-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
161.3
TCGA-DD-A114-01A
0 years, male, black or african american, stage:Stage II, dead, 1149 days
159.9
TCGA-DD-A11C-01A
0 years, male, white, stage:Stage I, alive, 662 days
157.6
TCGA-ED-A82E-01A
0 years, female, asian, stage:Stage IIIA, alive, 408 days
157.2
TCGA-DD-AAEA-01A
0 years, male, asian, stage:Stage I, alive, 575 days
155.1
TCGA-5C-A9VG-01A
0 years, male, white, stage:Stage II, alive, 328 days
151.0
TCGA-BC-A10T-01A
0 years, male, white, stage:'--, dead, 837 days
150.3
TCGA-DD-A4NS-01A
0 years, female, white, stage:Stage I, dead, 2456 days
147.9
TCGA-T1-A6J8-01A
0 years, male, white, stage:'--, alive, 23 days
147.6
TCGA-DD-AAE2-01A
0 years, male, asian, stage:Stage I, alive, 638 days
141.1
TCGA-BC-A5W4-01A
0 years, male, white, stage:Stage IIIA, dead, 547 days
139.9
TCGA-CC-A7IJ-01A
0 years, male, asian, stage:Stage II, alive, 382 days
139.4
TCGA-QA-A7B7-01A
0 years, male, black or african american, stage:Stage II, alive, 94 days
137.4
TCGA-DD-AACU-01A
0 years, male, asian, stage:Stage I, alive, 1567 days
137.2
TCGA-ZS-A9CE-01A
0 years, female, white, stage:Stage II, alive, 1241 days
136.7
TCGA-GJ-A9DB-01A
0 years, male, white, stage:Stage I, dead, 67 days
135.6
TCGA-DD-A4NA-01A
0 years, female, white, stage:Stage IIIC, alive, 1008 days
134.8
TCGA-ED-A627-01A
0 years, male, white, stage:Stage I, alive, 423 days
131.1
TCGA-DD-AACQ-01A
0 years, male, asian, stage:Stage II, dead, 432 days
129.5
TCGA-ZP-A9CV-01A
0 years, male, white, stage:'--, dead, 1088 days
129.1
TCGA-ED-A97K-01A
0 years, male, asian, stage:Stage IIIA, alive, 6 days
129.0
TCGA-DD-AACH-01A
0 years, male, asian, stage:Stage II, dead, 195 days
124.8
TCGA-ZP-A9D2-01A
0 years, male, white, stage:'--, dead, 765 days
122.4
TCGA-2Y-A9GS-01A
0 years, male, white, stage:'--, dead, 724 days
122.0
TCGA-DD-AADL-01A
0 years, male, asian, stage:Stage I, alive, 636 days
121.6
TCGA-5C-A9VH-01A
0 years, male, white, stage:Stage I, alive, 322 days
120.0
TCGA-BW-A5NO-01A
0 years, male, black or african american, stage:Stage IIIA, alive, 20 days
118.0
TCGA-BC-A10Q-01A
0 years, female, white, stage:'--, dead, 1135 days
117.2
TCGA-DD-AAC9-01A
0 years, male, asian, stage:Stage I, alive, 347 days
117.0
TCGA-PD-A5DF-01A
0 years, female, white, stage:Stage IIIB, dead, 639 days
115.8
TCGA-ED-A7XP-01A
0 years, female, asian, stage:Stage II, alive, 400 days
115.7
TCGA-MI-A75G-01A
0 years, male, white, stage:Stage II, alive, 698 days
114.5
TCGA-FV-A2QR-01A
0 years, male, white, stage:Stage I, dead, 581 days
114.0
TCGA-DD-AAD0-01A
0 years, female, asian, stage:Stage I, alive, 137 days
113.2
TCGA-MR-A8JO-01A
0 years, male, white, stage:Stage I, alive, 330 days
112.6
TCGA-ED-A4XI-01A
0 years, male, asian, stage:Stage II, alive, 819 days
110.7
TCGA-FV-A3I1-01A
0 years, female, white, stage:Stage II, dead, 247 days
110.5
TCGA-DD-A4ND-01A
0 years, female, white, stage:Stage I, alive, 2746 days
108.3
TCGA-DD-AAEG-01A
0 years, female, asian, stage:Stage I, alive, 719 days
108.0
TCGA-DD-AAD8-01A
0 years, female, asian, stage:Stage I, alive, 1219 days
108.0
TCGA-BC-A3KG-01A
0 years, female, white, stage:Stage II, alive, 680 days
107.8
TCGA-UB-A7MD-01A
0 years, male, black or african american, stage:Stage I, dead, 52 days
107.3
TCGA-DD-A4NE-01A
0 years, female, white, stage:Stage IIIA, dead, 660 days
105.8
TCGA-G3-A6UC-01A
0 years, male, white, stage:Stage IIIB, alive, 671 days
105.6
TCGA-2Y-A9H2-01A
0 years, female, white, stage:Stage I, alive, 1731 days
105.2
TCGA-DD-A115-01A
0 years, male, white, stage:Stage IIIA, dead, 2542 days
104.7
TCGA-UB-A7MC-01A
0 years, male, white, stage:Stage IIIA, alive, 500 days
104.3
TCGA-DD-A73B-01A
0 years, female, white, stage:Stage I, dead, 283 days
104.0
TCGA-WX-AA44-01A
0 years, female, white, stage:Stage I, alive, 615 days
103.7
TCGA-BC-A10W-01A
0 years, male, asian, stage:'--, dead, 91 days
103.4
TCGA-DD-AADV-01A
0 years, male, asian, stage:Stage I, alive, 574 days
103.0
TCGA-DD-AAE0-01A
0 years, female, asian, stage:Stage IIIA, alive, 555 days
102.5
TCGA-G3-AAV7-01A
0 years, male, asian, stage:Stage II, alive, 361 days
102.2
TCGA-ED-A66Y-01A
0 years, female, asian, stage:Stage IIIA, dead, 296 days
99.3
TCGA-2Y-A9HB-01A
0 years, male, stage:Stage I, alive, 260 days
99.1
TCGA-CC-5260-01A
0 years, female, asian, stage:Stage IIIC, dead, 87 days
98.4
TCGA-DD-AAVY-01A
0 years, male, asian, stage:Stage IIIA, alive, 1970 days
98.1
TCGA-K7-AAU7-01A
0 years, male, white, stage:Stage II, alive, 359 days
97.6
TCGA-4R-AA8I-01A
0 years, male, white, stage:Stage II, dead, 262 days
97.4
TCGA-DD-A11B-01A
0 years, male, white, stage:Stage I, dead, 14 days
97.1
TCGA-DD-AACO-01A
0 years, male, asian, stage:Stage I, alive, 1876 days
96.9
TCGA-CC-A8HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 140 days
95.8
TCGA-K7-A5RF-01A
0 years, male, white, stage:Stage I, alive, 631 days
95.5
TCGA-RC-A6M5-01A
0 years, female, white, stage:Stage IVA, alive, 15 days
95.3
TCGA-G3-A25T-01A
0 years, female, white, stage:Stage IIIA, alive, 1553 days
95.2
TCGA-FV-A3I0-01A
0 years, female, white, stage:Stage II, alive, 848 days
95.2
TCGA-DD-AAW2-01A
0 years, male, asian, stage:Stage I, alive, 1855 days
93.9
TCGA-CC-5262-01A
0 years, male, asian, stage:Stage IIIC, dead, 103 days
93.7
TCGA-2Y-A9H4-01A
0 years, male, black or african american, stage:Stage I, alive, 1452 days
93.4
TCGA-CC-A8HU-01A
0 years, female, asian, stage:Stage IIIA, dead, 344 days
93.0
TCGA-DD-A73F-01A
0 years, female, white, stage:Stage I, alive, 1085 days
92.7
TCGA-2Y-A9GT-01A
0 years, male, white, stage:Stage I, dead, 1624 days
91.9
TCGA-FV-A3R2-01A
0 years, male, white, stage:Stage I, dead, 194 days
91.7
TCGA-ZP-A9CZ-01A
0 years, male, asian, stage:'--, alive, 706 days
90.3
TCGA-RC-A7S9-01A
0 years, female, asian, stage:Stage I, alive, 640 days
90.1
TCGA-BC-A110-01A
0 years, female, black or african american, stage:'--, dead, 2116 days
88.6
TCGA-DD-AAE4-01A
0 years, female, asian, stage:Stage I, alive, 608 days
88.3
TCGA-BC-A10U-01A
0 years, male, white, stage:'--, dead, 837 days
87.6
TCGA-5C-AAPD-01A
0 years, male, asian, stage:Stage II, alive, 20 days
86.7
TCGA-CC-A7IL-01A
0 years, male, asian, stage:Stage IIIA, dead, 278 days
86.0
TCGA-DD-AAVS-01A
0 years, male, asian, stage:Stage I, alive, 1823 days
85.3
TCGA-2Y-A9H0-01A
0 years, male, white, stage:Stage IIIA, alive, 3675 days
85.1
TCGA-DD-AAD2-01A
0 years, male, asian, stage:Stage I, alive, 658 days
85.0
TCGA-DD-AAD1-01A
0 years, female, asian, stage:Stage I, alive, 564 days
84.8
TCGA-CC-A1HT-01A
0 years, male, asian, stage:Stage IIIA, dead, 101 days
84.5
TCGA-MI-A75H-01A
0 years, male, white, stage:'--, alive, 747 days
84.4
TCGA-CC-5261-01A
0 years, male, asian, stage:Stage II, dead, 97 days
83.4
TCGA-BD-A2L6-01A
0 years, male, white, stage:'--, alive, 1363 days
83.4
TCGA-DD-AAW0-01A
0 years, male, asian, stage:Stage I, alive, 2015 days
82.6
TCGA-DD-AAEH-01A
0 years, male, asian, stage:Stage I, alive, 784 days
82.5
TCGA-DD-A4NQ-01A
0 years, male, white, stage:Stage II, dead, 373 days
82.5
TCGA-DD-A73G-01A
0 years, female, white, stage:Stage I, alive, 3478 days
82.3
TCGA-DD-AAW3-01A
0 years, male, asian, stage:Stage I, alive, 1633 days
82.1
TCGA-CC-5264-01A
0 years, male, asian, stage:Stage IIIA, dead, 102 days
82.1
TCGA-FV-A3R3-01A
0 years, female, white, stage:Stage I, dead, 366 days
81.2
TCGA-BD-A3ER-01A
0 years, male, white, stage:Stage II, alive, 1115 days
80.1
TCGA-K7-A6G5-01A
0 years, male, white, stage:Stage I, alive, 512 days
79.3
TCGA-G3-A5SI-01A
0 years, male, asian, stage:Stage II, dead, 768 days
78.9
TCGA-DD-AAVW-01A
0 years, male, asian, stage:Stage I, alive, 2317 days
77.6
TCGA-2Y-A9GU-01A
0 years, female, white, stage:Stage I, alive, 1939 days
77.6
TCGA-DD-A4NR-01A
0 years, female, white, stage:Stage I, dead, 9 days
77.3
TCGA-DD-A1EB-01A
0 years, female, stage:Stage I, alive, 2017 days
77.0
TCGA-DD-A4NK-01A
0 years, female, white, stage:Stage IIIA, dead, 1210 days
77.0
TCGA-DD-AACS-01A
0 years, male, asian, stage:Stage I, alive, 1804 days
76.5
TCGA-MI-A75C-01A
0 years, male, white, stage:Stage I, alive, 291 days
76.1
TCGA-UB-A7MF-01A
0 years, male, white, stage:Stage IIIA, dead, 214 days
75.3
TCGA-2Y-A9GX-01A
0 years, male, white, stage:Stage I, alive, 2442 days
74.8
TCGA-KR-A7K2-01A
0 years, male, white, stage:Stage I, alive, 829 days
74.1
TCGA-DD-AAVR-01A
0 years, male, asian, stage:Stage I, alive, 2513 days
73.4
TCGA-UB-A7ME-01A
0 years, male, asian, stage:Stage I, alive, 486 days
72.0
TCGA-DD-AAED-01A
0 years, male, asian, stage:Stage I, alive, 763 days
72.0
TCGA-UB-AA0V-01A
0 years, female, white, stage:Stage I, alive, 314 days
71.7
TCGA-CC-A7II-01A
0 years, male, asian, stage:Stage IIIA, alive, 399 days
70.7
TCGA-DD-AADM-01A
0 years, male, asian, stage:Stage II, dead, 12 days
70.7
TCGA-BC-A10X-01A
0 years, female, white, stage:Stage IIIA, dead, 770 days
70.6
TCGA-G3-A7M7-01A
0 years, male, white, stage:Stage I, alive, 361 days
70.2
TCGA-CC-A3MC-01A
0 years, male, asian, stage:Stage IIIA, alive, 363 days
70.1
TCGA-5R-AAAM-01A
0 years, female, white, stage:Stage II, dead, 46 days
69.8
TCGA-BC-A69I-01A
0 years, male, white, stage:Stage I, alive, 387 days
69.5
TCGA-DD-AAW1-01A
0 years, male, asian, stage:Stage IIIA, alive, 1989 days
69.5
TCGA-G3-A3CH-01A
0 years, male, asian, stage:Stage IIIA, alive, 780 days
69.2
TCGA-BC-A10S-01A
0 years, male, white, stage:'--, dead, 1423 days
69.1
TCGA-G3-A25X-01A
0 years, male, asian, stage:Stage II, alive, 1779 days
69.0
TCGA-WQ-A9G7-01A
0 years, female, white, stage:'--, alive, 30 days
68.2
TCGA-2Y-A9H6-01A
0 years, female, white, stage:Stage I, alive, 357 days
68.2
TCGA-ED-A7PY-01A
0 years, female, asian, stage:Stage II, alive, 390 days
67.6
TCGA-ED-A66X-01A
0 years, male, asian, stage:Stage IIIA, alive, 406 days
67.4
TCGA-DD-A4NJ-01A
0 years, female, white, stage:Stage II, alive, 928 days
67.1
TCGA-DD-A4NB-01A
0 years, male, white, stage:Stage I, alive, 989 days
66.8
TCGA-DD-A4NN-01A
0 years, female, white, stage:Stage I, dead, 899 days
66.7
TCGA-BC-A112-01A
0 years, male, white, stage:'--, dead, 153 days
66.6
TCGA-BC-A10R-01A
0 years, female, white, stage:'--, dead, 308 days
66.2
TCGA-BC-A216-01A
0 years, female, white, stage:Stage IIIA, alive, 1351 days
66.2
TCGA-2Y-A9GZ-01A
0 years, female, white, stage:Stage II, dead, 848 days
66.0
TCGA-DD-A1EC-01A
0 years, female, white, stage:Stage I, alive, 602 days
65.9
TCGA-2Y-A9H3-01A
0 years, male, white, stage:Stage II, alive, 1516 days
64.8
TCGA-DD-A3A1-01A
0 years, male, stage:Stage IIIA, dead, 233 days
64.6
TCGA-MI-A75E-01A
0 years, male, white, stage:Stage IIIC, alive, 507 days
64.6
TCGA-RC-A6M4-01A
0 years, female, white, stage:Stage IIIA, alive, 22 days
64.4
TCGA-FV-A495-01A
0 years, female, white, stage:Stage II, alive, 1 days
64.0
TCGA-CC-5263-01A
0 years, male, asian, stage:Stage IIIA, dead, 129 days
64.0
TCGA-DD-A4NH-01A
0 years, female, white, stage:Stage IIIB, alive, 917 days
63.9
TCGA-ZP-A9CY-01A
0 years, female, white, stage:'--, alive, 782 days
63.8
TCGA-G3-A7M9-01A
0 years, male, white, stage:Stage IIIB, dead, 56 days
63.7
TCGA-DD-A73A-01A
0 years, male, white, stage:Stage I, alive, 728 days
63.4
TCGA-G3-AAUZ-01A
0 years, male, stage:Stage I, alive, 480 days
63.1
TCGA-DD-AAD3-01A
0 years, male, asian, stage:Stage I, alive, 1295 days
63.0
TCGA-DD-A119-01A
0 years, male, asian, stage:Stage IV, dead, 223 days
62.7
TCGA-BD-A3EP-01A
0 years, female, black or african american, stage:Stage I, alive, 409 days
62.3
TCGA-FV-A496-01A
0 years, female, white, stage:Stage I, alive, 10 days
62.2
TCGA-GJ-A3OU-01A
0 years, male, white, stage:Stage I, alive, 879 days
61.9
TCGA-DD-AAEI-01A
0 years, male, asian, stage:Stage I, alive, 1531 days
61.8
TCGA-G3-A25Y-01A
0 years, female, asian, stage:Stage I, dead, 452 days
61.4
TCGA-2Y-A9H9-01A
0 years, male, white, stage:Stage I, alive, 697 days
60.9
TCGA-XR-A8TC-01A
0 years, female, white, stage:Stage I, alive, 1339 days
60.7
TCGA-O8-A75V-01A
0 years, male, stage:Stage I, alive, 538 days
60.3
TCGA-G3-A5SK-01A
0 years, male, white, stage:Stage I, alive, 744 days
60.1
TCGA-DD-A3A9-01A
0 years, female, white, stage:Stage IVB, dead, 931 days
60.0
TCGA-HP-A5MZ-01A
0 years, male, stage:Stage I, dead, 91 days
59.4
TCGA-G3-A5SL-01A
0 years, male, white, stage:Stage II, alive, 621 days
59.2
TCGA-DD-AACF-01A
0 years, male, asian, stage:Stage I, dead, 365 days
58.3
TCGA-RC-A7SH-01A
0 years, male, asian, stage:Stage II, alive, 468 days
58.3
TCGA-DD-AACX-01A
0 years, male, asian, stage:Stage II, alive, 170 days
58.1
TCGA-UB-AA0U-01A
0 years, male, white, stage:Stage II, alive, 327 days
57.5
TCGA-DD-A1EG-01A
0 years, male, white, stage:Stage I, dead, 1372 days
57.4
TCGA-CC-A7IG-01A
0 years, male, asian, stage:Stage II, dead, 299 days
57.0
TCGA-WX-AA46-01A
0 years, male, white, stage:Stage II, alive, 756 days
56.9
TCGA-DD-AACI-01A
0 years, male, asian, stage:Stage II, alive, 1618 days
56.6
TCGA-DD-AAE7-01A
0 years, male, asian, stage:Stage I, alive, 644 days
56.5
TCGA-ES-A2HT-01A
0 years, male, black or african american, stage:Stage I, dead, 438 days
56.2
TCGA-ED-A459-01A
0 years, male, asian, stage:Stage II, alive, 910 days
55.4
TCGA-DD-AADK-01A
0 years, female, asian, stage:Stage II, alive, 1049 days
55.1
TCGA-G3-A5SM-01A
0 years, male, white, stage:Stage II, alive, 520 days
55.0
TCGA-DD-A113-01A
0 years, female, white, stage:Stage II, alive, 2425 days
55.0
TCGA-DD-A4NV-01A
0 years, male, white, stage:Stage IIIA, alive, 2398 days
54.9
TCGA-5R-AA1D-01A
0 years, female, white, stage:Stage IIIA, alive, 449 days
54.5
TCGA-YA-A8S7-01A
0 years, male, white, stage:Stage IIIA, dead, 412 days
54.0
TCGA-2Y-A9GW-01A
0 years, male, white, stage:Stage I, dead, 1271 days
53.2
TCGA-EP-A3JL-01A
0 years, male, white, stage:Stage I, alive, 303 days
53.1
TCGA-G3-A25Z-01A
0 years, male, asian, stage:Stage I, alive, 655 days
52.4
TCGA-XR-A8TD-01A
0 years, female, white, stage:Stage IIIB, alive, 1030 days
52.1
TCGA-ED-A5KG-01A
0 years, female, asian, stage:Stage II, alive, 854 days
52.0
TCGA-G3-A25V-01A
0 years, male, white, stage:Stage I, alive, 860 days
51.8
TCGA-G3-A7M6-01A
0 years, female, white, stage:Stage I, alive, 632 days
51.8
TCGA-DD-A4NO-01A
0 years, male, white, stage:Stage I, alive, 2245 days
51.6
TCGA-DD-A4NL-01A
0 years, male, white, stage:Stage I, alive, 1711 days
51.3
TCGA-2Y-A9GV-01A
0 years, female, white, stage:Stage I, dead, 2532 days
51.2
TCGA-KR-A7K0-01A
0 years, male, white, stage:Stage I, dead, 65 days
51.1
TCGA-G3-A7M8-01A
0 years, male, asian, stage:Stage I, alive, 430 days
51.0
TCGA-CC-A7IF-01A
0 years, male, asian, stage:Stage IIIA, dead, 649 days
50.5
TCGA-RC-A7SB-01A
0 years, male, asian, stage:Stage II, alive, 588 days
50.3
TCGA-DD-A1EE-01A
0 years, male, white, stage:Stage IIIA, dead, 349 days
50.1
TCGA-DD-AADG-01A
0 years, male, asian, stage:Stage IIIA, alive, 1145 days
49.9
TCGA-DD-AAE3-01A
0 years, male, asian, stage:Stage I, alive, 566 days
49.8
TCGA-KR-A7K8-01A
0 years, male, stage:Stage I, alive, 906 days
49.7
TCGA-WQ-AB4B-01A
0 years, male, white, stage:Stage II, alive, 395 days
49.4
TCGA-DD-AAVP-01A
0 years, male, asian, stage:Stage I, alive, 2752 days
49.0
TCGA-G3-A7M5-01A
0 years, male, asian, stage:Stage I, alive, 447 days
48.7
TCGA-WX-AA47-01A
0 years, female, white, stage:Stage IIIA, dead, 556 days
48.6
TCGA-ES-A2HS-01A
0 years, male, white, stage:Stage I, dead, 688 days
48.4
TCGA-DD-A1EI-01A
0 years, male, asian, stage:Stage I, alive, 183 days
48.3
TCGA-K7-A5RG-01A
0 years, male, black or african american, stage:Stage I, alive, 519 days
48.1
TCGA-CC-A5UC-01A
0 years, male, asian, stage:Stage IIIA, dead, 347 days
47.8
TCGA-ZP-A9D4-01A
0 years, female, white, stage:'--, alive, 395 days
47.7
TCGA-DD-A4NI-01A
0 years, male, white, stage:Stage II, alive, 816 days
47.7
TCGA-DD-A3A8-01A
0 years, male, white, stage:Stage II, dead, 11 days
47.5
TCGA-DD-A39X-01A
0 years, female, white, stage:Stage I, dead, 1694 days
47.0
TCGA-CC-A5UD-01A
0 years, male, asian, stage:Stage IIIA, dead, 304 days
46.6
TCGA-MI-A75I-01A
0 years, male, black or african american, stage:'--, alive, 630 days
46.4
TCGA-DD-AADS-01A
0 years, male, asian, stage:Stage I, alive, 474 days
46.2
TCGA-ED-A8O6-01A
0 years, female, asian, stage:Stage IIIA, dead, 56 days
45.8
TCGA-EP-A2KB-01A
0 years, female, white, stage:Stage I, dead, 596 days
45.7
TCGA-FV-A2QQ-01A
0 years, male, white, stage:Stage I, alive, 729 days
45.3
TCGA-GJ-A6C0-01A
0 years, female, white, stage:Stage II, dead, 31 days
45.3
TCGA-DD-AADR-01A
0 years, male, asian, stage:Stage I, alive, 2028 days
45.3
TCGA-DD-AACK-01A
0 years, male, asian, stage:Stage I, alive, 9 days
45.3
TCGA-DD-AAEK-01A
0 years, male, asian, stage:Stage II, alive, 1067 days
45.3
TCGA-NI-A8LF-01A
0 years, male, white, stage:Stage I, alive, 799 days
44.9
TCGA-LG-A9QD-01A
0 years, male, white, stage:Stage IIIA, alive, 366 days
44.5
TCGA-DD-AAVV-01A
0 years, male, asian, stage:Stage II, alive, 2455 days
44.5
TCGA-DD-AAVZ-01A
0 years, male, asian, stage:Stage I, alive, 1900 days
44.3
TCGA-CC-A7IK-01A
0 years, male, asian, stage:Stage IIIA, dead, 262 days
43.9
TCGA-ZS-A9CG-01A
0 years, male, white, stage:Stage II, alive, 341 days
43.9
TCGA-5R-AA1C-01A
0 years, male, white, stage:Stage II, alive, 520 days
43.9
TCGA-2Y-A9H5-01A
0 years, female, white, stage:Stage I, dead, 555 days
43.8
TCGA-DD-AAEE-01A
0 years, male, asian, stage:Stage I, alive, 810 days
43.7
TCGA-DD-AACN-01A
0 years, male, asian, stage:Stage I, alive, 1302 days
43.1
TCGA-MR-A520-01A
0 years, male, white, stage:Stage I, alive, 229 days
42.8
TCGA-DD-AADA-01A
0 years, female, asian, stage:Stage I, alive, 1233 days
42.8
TCGA-DD-AACL-01A
0 years, female, asian, stage:Stage I, dead, 107 days
42.8
TCGA-LG-A6GG-01A
0 years, female, white, stage:Stage II, alive, 387 days
42.4
TCGA-ZS-A9CD-01A
0 years, male, white, stage:Stage II, dead, 1386 days
42.0
TCGA-DD-AAD5-01A
0 years, male, asian, stage:Stage I, alive, 1345 days
41.8
TCGA-G3-A3CI-01A
0 years, male, white, stage:Stage I, alive, 180 days
41.5
TCGA-G3-AAV2-01A
0 years, male, white, stage:Stage I, alive, 372 days
40.8
TCGA-DD-A1ED-01A
0 years, male, white, stage:Stage I, alive, 2301 days
40.8
TCGA-DD-AACT-01A
0 years, female, asian, stage:Stage I, alive, 1562 days
40.4
TCGA-UB-A7MA-01A
0 years, female, white, stage:Stage II, alive, 848 days
40.3
TCGA-EP-A12J-01A
0 years, male, black or african american, stage:Stage I, alive, 570 days
40.1
TCGA-BC-A217-01A
0 years, female, white, stage:Stage II, dead, 1397 days
39.8
TCGA-2Y-A9H8-01A
0 years, female, white, stage:'--, dead, 633 days
39.3
TCGA-DD-AACY-01A
0 years, male, asian, stage:Stage I, alive, 1450 days
39.3
TCGA-DD-A1EA-01A
0 years, male, asian, stage:Stage II, alive, 2415 days
39.0
TCGA-DD-A73C-01A
0 years, female, white, stage:Stage IIIA, alive, 701 days
38.9
TCGA-G3-A25U-01A
0 years, female, asian, stage:Stage I, alive, 1636 days
38.5
TCGA-DD-A3A3-01A
0 years, male, asian, stage:Stage I, dead, 535 days
38.2
TCGA-ZP-A9D1-01A
0 years, female, white, stage:'--, alive, 21 days
38.1
TCGA-DD-A1EK-01A
0 years, female, white, stage:Stage IVB, dead, 558 days
37.5
TCGA-BC-A8YO-01A
0 years, female, white, stage:Stage IIIC, alive, 562 days
37.2
TCGA-DD-AADW-01A
0 years, male, asian, stage:Stage I, alive, 587 days
37.0
TCGA-DD-AAVQ-01A
0 years, male, asian, stage:Stage I, alive, 2728 days
36.5
TCGA-G3-AAV0-01A
0 years, male, asian, stage:Stage I, alive, 476 days
36.1
TCGA-G3-A3CK-01A
0 years, male, asian, stage:Stage I, alive, 585 days
36.1
TCGA-DD-AADU-01A
0 years, male, asian, stage:Stage II, alive, 554 days
36.0
TCGA-G3-A5SJ-01A
0 years, male, white, stage:Stage I, alive, 698 days
35.5
TCGA-LG-A9QC-01A
0 years, male, white, stage:Stage I, alive, 425 days
35.4
TCGA-DD-A3A7-01A
0 years, male, stage:Stage IIIB, dead, 419 days
35.1
TCGA-NI-A4U2-01A
0 years, male, white, stage:Stage IIIA, dead, 1791 days
35.1
TCGA-DD-AADY-01A
0 years, female, asian, stage:Stage I, alive, 555 days
34.8
TCGA-2Y-A9H1-01A
0 years, male, white, stage:Stage I, dead, 1229 days
34.7
TCGA-DD-A11D-01A
0 years, female, white, stage:Stage I, dead, 1560 days
34.7
TCGA-CC-5258-01A
0 years, male, asian, stage:Stage II, dead, 129 days
34.3
TCGA-DD-A118-01A
0 years, female, white, stage:Stage II, alive, 3437 days
34.1
TCGA-CC-A8HS-01A
0 years, male, asian, stage:Stage IIIC, dead, 300 days
33.7
TCGA-DD-A1EL-01A
0 years, male, black or african american, stage:Stage II, dead, 415 days
33.5
TCGA-DD-A73E-01A
0 years, male, white, stage:Stage I, alive, 44 days
33.2
TCGA-DD-AADI-01A
0 years, female, asian, stage:Stage I, alive, 1085 days
33.0
TCGA-G3-AAV1-01A
0 years, male, asian, stage:Stage IIIC, dead, 359 days
32.7
TCGA-G3-AAV3-01A
0 years, female, white, stage:Stage II, alive, 412 days
32.1
TCGA-DD-A1EF-01A
0 years, female, white, stage:Stage I, dead, 394 days
31.8
TCGA-DD-AACZ-01A
0 years, female, asian, stage:Stage I, dead, 171 days
31.7
TCGA-RC-A7SF-01A
0 years, male, asian, stage:Stage I, alive, 579 days
31.2
TCGA-DD-AACC-01A
0 years, male, asian, stage:Stage I, dead, 1685 days
31.1
TCGA-FV-A4ZQ-01A
0 years, male, white, stage:Stage I, alive, 12 days
31.0
TCGA-CC-A8HV-01A
0 years, female, asian, stage:Stage II, dead, 279 days
31.0
TCGA-DD-A3A2-01A
0 years, female, white, stage:Stage I, dead, 2131 days
30.1
TCGA-EP-A26S-01A
0 years, male, white, stage:Stage I, alive, 608 days
29.8
TCGA-DD-AADC-01A
0 years, male, asian, stage:Stage I, dead, 425 days
29.6
TCGA-ED-A7PZ-01A
0 years, male, asian, stage:Stage II, alive, 6 days
29.5
TCGA-DD-AADP-01A
0 years, male, asian, stage:Stage I, alive, 458 days
29.3
TCGA-DD-A4NP-01A
0 years, male, white, stage:Stage I, alive, 3308 days
29.0
TCGA-DD-A3A4-01A
0 years, male, white, stage:Stage IIIA, dead, 612 days
29.0
TCGA-2Y-A9HA-01A
0 years, male, white, stage:Stage II, dead, 36 days
28.8
TCGA-DD-AADJ-01A
0 years, female, asian, stage:Stage I, alive, 1066 days
28.8
TCGA-DD-AADD-01A
0 years, male, asian, stage:Stage I, alive, 1231 days
27.8
TCGA-EP-A3RK-01A
0 years, male, white, stage:Stage IIIA, alive, 363 days
26.0
TCGA-DD-AAVX-01A
0 years, male, asian, stage:Stage II, alive, 1718 days
25.4
TCGA-DD-A1EH-01A
0 years, male, white, stage:Stage III, alive, 1495 days
25.3
TCGA-G3-A3CJ-01A
0 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
24.8
TCGA-DD-AADF-01A
0 years, female, asian, stage:Stage I, dead, 115 days
24.1
TCGA-DD-AADB-01A
0 years, male, asian, stage:Stage I, alive, 1242 days
23.3
TCGA-G3-AAV5-01A
0 years, male, white, stage:Stage II, alive, 354 days
22.4
TCGA-DD-A39Y-01A
0 years, male, asian, stage:Stage I, dead, 171 days
22.3
TCGA-DD-AACW-01A
0 years, male, asian, stage:Stage I, alive, 1424 days
21.8
TCGA-DD-AACE-01A
0 years, male, asian, stage:Stage I, alive, 2184 days
21.7
TCGA-G3-A25S-01A
0 years, male, white, stage:Stage I, dead, 416 days
21.1
TCGA-DD-AADQ-01A
0 years, male, asian, stage:Stage II, alive, 436 days
20.9
TCGA-CC-A7IE-01A
0 years, male, asian, stage:Stage IIIA, dead, 217 days
20.5
TCGA-DD-A3A6-01A
0 years, female, white, stage:Stage II, dead, 3258 days
20.3
TCGA-WJ-A86L-01A
0 years, female, white, stage:Stage I, alive, 345 days
19.8
TCGA-DD-AAD6-01A
0 years, male, asian, stage:Stage IIIA, alive, 672 days
19.7
TCGA-EP-A2KC-01A
0 years, male, black or african american, stage:Stage I, dead, 19 days
19.5
TCGA-3K-AAZ8-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 396 days
19.3
TCGA-ED-A8O5-01A
0 years, female, asian, stage:Stage IIIA, alive, 406 days
18.5
TCGA-DD-A116-01A
0 years, male, asian, stage:Stage IIIA, dead, 1622 days
18.3
TCGA-FV-A23B-01A
0 years, female, white, stage:Stage II, dead, 1852 days
18.3
TCGA-DD-A39Z-01A
0 years, female, stage:Stage II, dead, 601 days
17.7
TCGA-2Y-A9GY-01A
0 years, female, white, stage:Stage II, dead, 757 days
17.6
TCGA-CC-A5UE-01A
0 years, male, asian, stage:Stage IIIB, dead, 272 days
17.6
TCGA-DD-AACG-01A
0 years, male, asian, stage:Stage II, dead, 469 days
17.5
TCGA-CC-5259-01A
0 years, female, asian, stage:Stage IIIC, alive, 250 days
17.5
TCGA-G3-A3CG-01A
0 years, male, white, stage:Stage I, alive, 673 days
17.4
TCGA-DD-AACD-01A
0 years, male, asian, stage:Stage I, dead, 381 days
17.4
TCGA-DD-A1EJ-01A
0 years, female, white, stage:Stage IIIC, dead, 1005 days
17.3
TCGA-DD-AACA-01A
0 years, male, asian, stage:Stage I, alive, 2301 days
17.1
TCGA-FV-A4ZP-01A
0 years, male, white, stage:Stage IIIA, dead, 2486 days
17.0
TCGA-CC-A123-01A
0 years, female, asian, stage:Stage IIIA, alive, 219 days
16.9
TCGA-DD-AAEB-01A
0 years, male, asian, stage:Stage I, alive, 478 days
16.0
TCGA-XR-A8TF-01A
0 years, male, white, stage:Stage I, dead, 693 days
15.8
TCGA-EP-A2KA-01A
0 years, female, white, stage:Stage IIIA, dead, 627 days
15.2
TCGA-G3-AAV6-01A
0 years, female, white, stage:Stage IIIA, dead, 65 days
15.1
TCGA-G3-AAV4-01A
0 years, female, white, stage:Stage I, dead, 27 days
14.0
TCGA-RC-A6M6-01A
0 years, male, white, stage:Stage II, alive, 9 days
14.0
TCGA-DD-A4NF-01A
0 years, male, white, stage:Stage I, alive, 942 days
13.9
TCGA-DD-AACB-01A
0 years, female, asian, stage:Stage I, alive, 2324 days
13.9
TCGA-UB-A7MB-01A
0 years, male, white, stage:Stage II, alive, 601 days
13.8
TCGA-CC-A3MB-01A
0 years, male, asian, stage:Stage IIIA, dead, 315 days
13.5
TCGA-KR-A7K7-01A
0 years, female, white, stage:Stage II, alive, 951 days
13.4
TCGA-RG-A7D4-01A
0 years, male, black or african american, stage:Stage II, alive, 1098 days
13.4
TCGA-DD-AACP-01A
0 years, male, asian, stage:Stage I, alive, 415 days
13.1
TCGA-XR-A8TE-01A
0 years, male, white, stage:Stage IIIA, alive, 925 days
13.1
TCGA-2Y-A9H7-01A
0 years, female, white, stage:Stage I, alive, 1168 days
12.2
TCGA-DD-A39V-01A
0 years, male, white, stage:Stage II, dead, 643 days
11.4
TCGA-BC-A69H-01A
0 years, male, white, stage:Stage II, alive, 444 days
11.0
TCGA-CC-A9FS-01A
0 years, male, asian, stage:Stage II, alive, 211 days
10.8
TCGA-DD-AAC8-01A
0 years, male, asian, stage:Stage I, dead, 16 days
10.4
TCGA-DD-AADO-01A
0 years, male, asian, stage:Stage I, alive, 453 days
9.9
TCGA-CC-A7IH-01A
0 years, male, asian, stage:Stage IIIA, alive, 365 days
9.7
TCGA-DD-AAE1-01A
0 years, male, asian, stage:Stage I, alive, 552 days
9.6
TCGA-DD-A4NG-01A
0 years, male, white, stage:Stage IIIA, dead, 802 days
9.4
TCGA-DD-A39W-01A
0 years, female, white, stage:Stage III, dead, 827 days
7.7
TCGA-DD-AACJ-01A
0 years, male, asian, stage:Stage II, alive, 2102 days
5.4
TCGA-DD-AAVU-01A
0 years, male, asian, stage:Stage II, alive, 2202 days
5.3
TCGA-DD-AAE9-01A
0 years, male, asian, stage:Stage I, alive, 722 days
5.1
TCGA-CC-A9FW-01A
0 years, male, asian, stage:Stage IIIA, alive, 248 days
5.0
TCGA-DD-A73D-01A
0 years, female, white, stage:Stage II, alive, 693 days
4.7
TCGA-DD-AADN-01A
0 years, male, asian, stage:Stage I, alive, 898 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CSRP1 is potential prognostic, high expression is favorable 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
63.4
Number of samples
231
Samples
Sample
Description
TPM
DO23530
0 years, male, NA, stage:4, dead, 180 days
250.5
DO45307
0 years, female, NA, stage:4, dead, 240 days
224.5
DO45207
0 years, male, NA, stage:1, alive, 1050 days
214.4
DO50783
0 years, male, NA, stage:3, alive, 480 days
194.5
DO50839
0 years, female, NA, stage:3, alive, 330 days
175.7
DO45297
0 years, female, NA, stage:4, dead, 1260 days
170.7
DO45255
0 years, male, NA, stage:3, alive, 720 days
166.8
DO45303
0 years, female, NA, stage:3, alive, 990 days
162.7
DO45155
0 years, male, NA, stage:2, alive, 2160 days
154.9
DO45299
0 years, female, NA, stage:1, alive, 1440 days
150.8
DO50808
0 years, male, NA, stage:2, alive, 570 days
149.6
DO50807
0 years, male, NA, stage:1, alive, 540 days
149.5
DO23548
0 years, female, NA, stage:1, alive, 840 days
148.2
DO45301
0 years, male, NA, stage:2, dead, 1440 days
138.9
DO45251
0 years, female, NA, stage:2, alive, 900 days
137.1
DO50840
0 years, male, NA, stage:2, alive, 330 days
134.4
DO50804
0 years, male, NA, stage:2, alive, 720 days
129.5
DO50800
0 years, male, NA, stage:2, alive, 510 days
125.9
DO45137
0 years, male, NA, stage:1, alive, 1320 days
125.8
DO48679
0 years, male, NA, stage:2, alive, 1200 days
123.9
DO50793
0 years, male, NA, stage:4, alive, 540 days
119.3
DO45201
0 years, male, NA, stage:1, alive, 900 days
118.4
DO48704
0 years, female, NA, stage:3, alive, 750 days
116.5
DO45289
0 years, female, NA, stage:3, alive, 360 days
115.8
DO45249
0 years, male, NA, stage:1, alive, 630 days
115.4
DO48747
0 years, male, NA, stage:3, alive, 540 days
111.7
DO23540
0 years, male, NA, stage:1, alive, 750 days
111.7
DO45235
0 years, female, NA, stage:1, alive, 900 days
109.8
DO45103
0 years, male, NA, stage:3, alive, 450 days
109.7
DO45277
0 years, male, NA, stage:3, alive, 600 days
109.2
DO50811
0 years, male, NA, stage:1, alive, 450 days
108.3
DO45279
0 years, male, NA, stage:3, alive, 1290 days
107.7
DO23523
0 years, male, NA, stage:3, alive, 1080 days
107.5
DO50817
0 years, male, NA, stage:2, alive, 390 days
106.9
DO48743
0 years, female, NA, stage:2, alive, 570 days
106.8
DO45211
0 years, male, NA, stage:3, alive, 240 days
102.7
DO23539
0 years, male, NA, stage:1, alive, 1110 days
102.5
DO45095
0 years, male, NA, stage:2, alive, 1620 days
100.3
DO45105
0 years, male, NA, stage:1, alive, 1680 days
99.7
DO45177
0 years, female, NA, stage:3, alive, 1260 days
99.0
DO50803
0 years, female, NA, stage:1, alive, 540 days
94.2
DO23526
0 years, male, NA, stage:3, alive, 1050 days
92.2
DO45181
0 years, female, NA, stage:2, alive, 1200 days
91.5
DO45275
0 years, male, NA, stage:3, dead, 10 days
91.1
DO45149
0 years, female, NA, stage:2, alive, 1260 days
91.1
DO45233
0 years, male, NA, stage:3, alive, 900 days
91.1
DO50822
0 years, male, NA, stage:2, alive, 510 days
91.0
DO23524
0 years, female, NA, stage:2, alive, 1050 days
90.7
DO45139
0 years, male, NA, stage:3, alive, 1320 days
89.5
DO45092
0 years, male, NA, stage:4, dead, 1200 days
89.2
DO23546
0 years, male, NA, stage:2, alive, 1050 days
88.6
DO45305
0 years, male, NA, stage:4, alive, 300 days
88.5
DO45097
0 years, male, NA, stage:3, alive, 1620 days
88.5
DO45094
0 years, male, NA, stage:3, alive, 1650 days
88.5
DO45245
0 years, female, NA, stage:2, dead, 240 days
87.8
DO45107
0 years, female, NA, stage:2, alive, 1710 days
87.4
DO45109
0 years, male, NA, stage:2, alive, 1590 days
87.3
DO50776
0 years, male, NA, stage:1, alive, 690 days
87.1
DO45273
0 years, male, NA, stage:2, alive, 480 days
87.1
DO50819
0 years, female, NA, stage:2, alive, 510 days
85.3
DO48746
0 years, male, NA, stage:3, alive, 570 days
84.2
DO45285
0 years, male, NA, stage:3, alive, 480 days
83.2
DO48700
0 years, female, NA, stage:2, alive, 810 days
82.9
DO48720
0 years, female, NA, stage:2, alive, 570 days
82.9
DO50832
0 years, male, NA, stage:3, alive, 90 days
82.9
DO48760
0 years, female, NA, stage:2, alive, 690 days
81.6
DO45165
0 years, male, NA, stage:2, alive, 690 days
81.4
DO45111
0 years, male, NA, stage:2, alive, 1590 days
81.3
DO48701
0 years, male, NA, stage:2, alive, 780 days
81.2
DO48742
0 years, male, NA, stage:2, alive, 600 days
78.2
DO50813
0 years, male, NA, stage:2, alive, 420 days
77.7
DO45099
0 years, male, NA, stage:3, alive, 1590 days
76.1
DO50829
0 years, male, NA, stage:3, alive, 570 days
74.1
DO23527
0 years, male, NA, stage:1, alive, 1050 days
73.8
DO45229
0 years, male, NA, stage:1, alive, 990 days
73.6
DO50798
0 years, male, NA, stage:3, dead, 30 days
73.2
DO45261
0 years, male, NA, stage:3, alive, 990 days
73.1
DO45205
0 years, female, NA, stage:2, dead, 90 days
71.2
DO45215
0 years, male, NA, stage:2, alive, 1170 days
71.2
DO50805
0 years, male, NA, stage:2, alive, 690 days
69.9
DO50791
0 years, female, NA, stage:1, dead, 480 days
69.3
DO50818
0 years, male, NA, stage:2, alive, 510 days
68.5
DO48697
0 years, female, NA, stage:2, dead, 810 days
68.4
DO48741
0 years, male, NA, stage:3, alive, 240 days
68.4
DO23541
0 years, male, NA, stage:2, alive, 930 days
68.1
DO23509
0 years, male, NA, stage:3, dead, 780 days
67.5
DO45115
0 years, male, NA, stage:2, alive, 840 days
67.4
DO48677
0 years, male, NA, stage:3, alive, 1140 days
66.9
DO45129
0 years, male, NA, stage:3, alive, 1470 days
66.9
DO45153
0 years, female, NA, stage:2, alive, 1380 days
66.8
DO45135
0 years, male, NA, stage:1, alive, 1410 days
65.7
DO45113
0 years, male, NA, stage:3, alive, 1560 days
65.7
DO50816
0 years, male, NA, stage:2, alive, 390 days
64.9
DO23547
0 years, male, NA, stage:1, alive, 1020 days
64.9
DO23537
0 years, male, NA, stage:2, dead, 900 days
64.6
DO45223
0 years, male, NA, stage:4, alive, 1020 days
64.0
DO45093
0 years, male, NA, stage:2, dead, 720 days
63.7
DO50799
0 years, female, NA, stage:2, alive, 540 days
63.6
DO50787
0 years, male, NA, stage:3, alive, 480 days
63.1
DO45225
0 years, male, NA, stage:1, alive, 1050 days
61.5
DO45163
0 years, male, NA, stage:2, alive, 960 days
60.9
DO45143
0 years, male, NA, stage:3, alive, 1290 days
60.8
DO50789
0 years, female, NA, stage:2, alive, 570 days
60.1
DO23535
0 years, male, NA, stage:1, alive, 960 days
59.4
DO45119
0 years, male, NA, stage:3, dead, 510 days
58.7
DO23552
0 years, female, NA, stage:1, alive, 810 days
58.6
DO23532
0 years, female, NA, stage:1, alive, 960 days
58.1
DO50778
0 years, male, NA, stage:4, alive, 630 days
57.7
DO23512
0 years, male, NA, stage:1, alive, 1260 days
57.6
DO45123
0 years, female, NA, stage:2, dead, 570 days
57.4
DO48717
0 years, male, NA, stage:4, dead, 180 days
57.3
DO48716
0 years, male, NA, stage:2, alive, 720 days
57.3
DO45203
0 years, female, NA, stage:2, alive, 1170 days
56.2
DO45197
0 years, male, NA, stage:2, alive, 1170 days
56.2
DO45185
0 years, male, NA, stage:2, alive, 600 days
55.9
DO45231
0 years, male, NA, stage:2, alive, 930 days
55.4
DO48712
0 years, male, NA, stage:2, alive, 810 days
55.0
DO45121
0 years, male, NA, stage:3, alive, 1530 days
54.7
DO23550
0 years, male, NA, stage:1, alive, 990 days
54.5
DO45287
0 years, male, NA, stage:1, alive, 390 days
54.1
DO45243
0 years, female, NA, stage:3, alive, 930 days
53.8
DO50809
0 years, male, NA, stage:3, dead, 720 days
53.8
DO45157
0 years, male, NA, stage:2, alive, 1980 days
53.6
DO45125
0 years, male, NA, stage:3, alive, 1680 days
53.4
DO48759
0 years, male, NA, stage:3, alive, 720 days
53.4
DO227801
0 years, female, NA, stage:1, alive, 660 days
53.3
DO50820
0 years, female, NA, stage:3, alive, 510 days
53.1
DO45283
0 years, male, NA, stage:3, alive, 510 days
52.3
DO23515
0 years, male, NA, stage:2, alive, 1230 days
52.2
DO48693
0 years, male, NA, stage:2, alive, 900 days
52.0
DO48728
0 years, female, NA, stage:2, alive, 150 days
50.7
DO48672
0 years, male, NA, stage:2, alive, 450 days
50.2
DO48674
0 years, male, NA, stage:2, alive, 1260 days
50.0
DO23538
0 years, male, NA, stage:2, alive, 450 days
49.8
DO23508
0 years, female, NA, stage:2, alive, 390 days
49.7
DO45237
0 years, male, NA, stage:2, alive, 900 days
49.6
DO45131
0 years, male, NA, stage:4, dead, 360 days
49.5
DO23544
0 years, male, NA, stage:2, alive, 960 days
49.4
DO45141
0 years, male, NA, stage:2, alive, 1320 days
48.9
DO48736
0 years, female, NA, stage:1, alive, 600 days
48.8
DO45167
0 years, male, NA, stage:2, dead, 1440 days
48.4
DO23510
0 years, female, NA, stage:2, alive, 870 days
47.7
DO45179
0 years, female, NA, stage:2, alive, 600 days
46.9
DO23545
0 years, male, NA, stage:2, dead, 570 days
46.5
DO45101
0 years, male, NA, stage:2, alive, 1680 days
46.4
DO45169
0 years, male, NA, stage:3, alive, 1350 days
45.8
DO23531
0 years, female, NA, stage:3, alive, 900 days
45.3
DO48733
0 years, male, NA, stage:2, alive, 600 days
44.7
DO23511
0 years, female, NA, stage:3, dead, 180 days
44.5
DO48695
0 years, male, NA, stage:2, alive, 720 days
44.4
DO48732
0 years, male, NA, stage:3, alive, 630 days
43.8
DO45281
0 years, male, NA, stage:4, alive, 750 days
43.5
DO23518
0 years, male, NA, stage:2, alive, 1320 days
43.0
DO23542
0 years, male, NA, stage:3, alive, 960 days
42.8
DO23543
0 years, male, NA, stage:2, alive, 1020 days
41.8
DO45263
0 years, male, NA, stage:3, dead, 270 days
41.5
DO45253
0 years, male, NA, stage:2, alive, 870 days
41.4
DO48725
0 years, male, NA, stage:1, alive, 780 days
41.4
DO48761
0 years, male, NA, stage:2, alive, 870 days
41.3
DO23551
0 years, male, NA, stage:3, dead, 150 days
41.3
DO227643
0 years, male, NA, stage:2, alive, 1260 days
41.1
DO45173
0 years, male, NA, stage:3, alive, 1170 days
40.5
DO50855
0 years, male, NA, stage:2, alive, 570 days
39.8
DO23534
0 years, male, NA, stage:2, alive, 840 days
39.7
DO50774
0 years, female, NA, stage:2, alive, 720 days
38.6
DO23536
0 years, male, NA, stage:2, alive, 930 days
38.0
DO50859
0 years, male, NA, stage:2, alive, 180 days
37.1
DO45259
0 years, male, NA, stage:3, alive, 330 days
37.0
DO45213
0 years, male, NA, stage:1, alive, 1200 days
35.1
DO45187
0 years, female, NA, stage:1, alive, 1260 days
34.5
DO45159
0 years, male, NA, stage:3, alive, 1470 days
34.2
DO50814
0 years, male, NA, stage:3, alive, 420 days
33.3
DO23519
0 years, male, NA, stage:3, alive, 630 days
32.7
DO23517
0 years, male, NA, stage:2, alive, 1200 days
32.4
DO50850
0 years, male, NA, stage:3, alive, 720 days
31.7
DO45241
0 years, male, NA, stage:1, alive, 1080 days
31.4
DO48715
0 years, female, NA, stage:2, dead, 690 days
30.2
DO50845
0 years, male, NA, stage:3, alive, 210 days
29.4
DO45189
0 years, female, NA, stage:2, alive, 1200 days
29.4
DO45217
0 years, female, NA, stage:3, dead, 270 days
28.9
DO45096
0 years, male, NA, stage:2, dead, 1290 days
28.8
DO45209
0 years, male, NA, stage:4, alive, 1350 days
28.0
DO45267
0 years, male, NA, stage:3, dead, 570 days
27.6
DO45171
0 years, male, NA, stage:3, alive, 600 days
27.4
DO45161
0 years, male, NA, stage:2, dead, 540 days
26.7
DO45239
0 years, male, NA, stage:2, alive, 870 days
26.0
DO23528
0 years, female, NA, stage:2, alive, 1020 days
25.4
DO45227
0 years, female, NA, stage:2, alive, 1020 days
25.4
DO45219
0 years, male, NA, stage:2, alive, 1080 days
24.9
DO50857
0 years, male, NA, stage:2, alive, 210 days
24.4
DO48730
0 years, female, NA, stage:2, alive, 630 days
22.7
DO48757
0 years, female, NA, stage:3, alive, 480 days
22.2
DO45133
0 years, male, NA, stage:3, dead, 660 days
22.0
DO23533
0 years, male, NA, stage:2, alive, 900 days
22.0
DO45221
0 years, female, NA, stage:4, dead, 390 days
21.6
DO48737
0 years, male, NA, stage:1, alive, 720 days
20.4
DO50806
0 years, male, NA, stage:4, alive, 540 days
19.6
DO48719
0 years, male, NA, stage:2, alive, 690 days
19.2
DO50815
0 years, male, NA, stage:3, alive, 150 days
18.3
DO45195
0 years, male, NA, stage:1, alive, 390 days
18.2
DO48682
0 years, female, NA, stage:3, dead, 120 days
17.7
DO45257
0 years, male, NA, stage:3, alive, 810 days
17.4
DO45247
0 years, female, NA, stage:2, alive, 210 days
17.3
DO23549
0 years, male, NA, stage:3, alive, 990 days
17.2
DO48721
0 years, female, NA, stage:1, alive, 900 days
16.9
DO23514
0 years, male, NA, stage:2, alive, 1290 days
16.9
DO48706
0 years, male, NA, stage:2, alive, 870 days
16.7
DO45191
0 years, female, NA, stage:2, alive, 1200 days
16.2
DO45183
0 years, female, NA, stage:2, dead, 570 days
16.2
DO50825
0 years, male, NA, stage:2, alive, 390 days
16.2
DO48723
0 years, male, NA, stage:1, alive, 600 days
15.7
DO45265
0 years, male, NA, stage:3, alive, 1020 days
15.7
DO23525
0 years, male, NA, stage:4, alive, 1050 days
15.6
DO45193
0 years, female, NA, stage:4, dead, 120 days
14.7
DO48681
0 years, male, NA, stage:2, alive, 900 days
13.8
DO23513
0 years, male, NA, stage:3, alive, 1200 days
12.9
DO50785
0 years, male, NA, stage:4, dead, 90 days
11.8
DO23529
0 years, male, NA, stage:4, alive, 930 days
11.7
DO45127
0 years, male, NA, stage:3, dead, 420 days
11.2
DO45175
0 years, male, NA, stage:2, alive, 1140 days
10.0
DO45145
0 years, male, NA, stage:3, dead, 60 days
9.9
DO45117
0 years, female, NA, stage:2, dead, 1110 days
9.8
DO50802
0 years, male, NA, stage:2, alive, 930 days
7.7
DO50844
0 years, male, NA, stage:4, alive, 300 days
7.7
DO45269
0 years, male, NA, stage:3, alive, 750 days
7.7
DO45091
0 years, male, NA, stage:2, dead, 1320 days
7.6
DO23516
0 years, male, NA, stage:3, dead, 20 days
5.7
DO45199
0 years, female, NA, stage:2, alive, 1350 days
5.2
DO48727
0 years, female, NA, stage:2, dead, 390 days
4.2
DO48751
0 years, male, NA, stage:2, dead, 480 days
2.6
DO23521
0 years, male, NA, stage:3, alive, 1110 days
2.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1027
Tumor
1.5
572
Normal
1.2
355
Tumor
1.0
538
Normal
1.0
878
Normal
0.9
411
Tumor
0.9
823
Tumor
0.9
536
Normal
0.9
744
Normal
0.8
192
Normal
0.8
498
Normal
0.8
1028
Normal
0.8
874
Normal
0.7
916
Normal
0.7
982
Normal
0.7
563
Tumor
0.7
223
Tumor
0.7
124
Normal
0.6
816
Normal
0.6
311
Tumor
0.6
211
Tumor
0.6
513
Tumor
0.6
375
Tumor
0.5
642
Normal
0.5
444
Normal
0.5
952
Normal
0.5
554
Normal
0.5
224
Normal
0.5
627
Tumor
0.5
924
Normal
0.5
213
Tumor
0.5
785
Tumor
0.5
363
Tumor
0.5
483
Tumor
0.5
866
Normal
0.5
958
Normal
0.5
137
Tumor
0.5
227
Tumor
0.5
185
Tumor
0.5
214
Normal
0.5
415
Tumor
0.4
882
Normal
0.4
455
Tumor
0.4
448
Normal
0.4
474
Normal
0.4
817
Tumor
0.4
778
Normal
0.4
478
Normal
0.4
545
Tumor
0.4
354
Normal
0.4
492
Normal
0.4
672
Normal
0.4
976
Normal
0.4
852
Normal
0.4
412
Normal
0.4
714
Normal
0.4
975
Tumor
0.4
966
Normal
0.4
344
Normal
0.4
421
Tumor
0.4
518
Normal
0.4
141
Tumor
0.4
524
Normal
0.4
126
Normal
0.4
883
Tumor
0.4
786
Normal
0.4
461
Tumor
0.3
917
Tumor
0.3
742
Normal
0.3
571
Tumor
0.3
716
Normal
0.3
1044
Normal
0.3
686
Normal
0.3
641
Tumor
0.3
696
Normal
0.3
574
Normal
0.3
268
Normal
0.3
297
Tumor
0.3
1045
Tumor
0.3
528
Normal
0.3
514
Normal
0.3
915
Tumor
0.3
327
Tumor
0.3
472
Normal
0.3
954
Normal
0.3
957
Tumor
0.3
715
Tumor
0.3
963
Tumor
0.3
365
Tumor
0.3
881
Tumor
0.3
921
Tumor
0.3
364
Normal
0.3
918
Normal
0.3
366
Normal
0.2
925
Tumor
0.2
533
Tumor
0.2
568
Normal
0.2
697
Tumor
0.2
955
Tumor
0.2
362
Normal
0.2
546
Normal
0.2
493
Tumor
0.2
228
Normal
0.2
923
Tumor
0.2
553
Tumor
0.2
298
Normal
0.2
386
Normal
0.2
218
Normal
0.2
456
Normal
0.2
525
Tumor
0.2
943
Tumor
0.2
146
Normal
0.2
284
Normal
0.2
434
Normal
0.2
938
Normal
0.2
636
Normal
0.2
738
Normal
0.2
695
Tumor
0.2
142
Normal
0.2
741
Tumor
0.2
147
Tumor
0.2
664
Normal
0.2
618
Normal
0.2
262
Normal
0.2
558
Normal
0.2
1032
Normal
0.2
312
Normal
0.2
862
Normal
0.2
698
Normal
0.2
867
Tumor
0.2
922
Normal
0.1
148
Normal
0.1
956
Normal
0.1
464
Normal
0.1
477
Tumor
0.1
222
Normal
0.1
911
Tumor
0.1
396
Normal
0.1
462
Normal
0.1
468
Normal
0.1
136
Normal
0.1
857
Tumor
0.1
423
Tumor
0.1
488
Normal
0.1
526
Normal
0.1
515
Tumor
0.1
376
Normal
0.1
864
Normal
0.1
212
Normal
0.1
953
Tumor
0.1
944
Normal
0.1
111
Normal
0.1
1026
Normal
0.1
727
Tumor
0.1
388
Normal
0.1
394
Normal
0.1
628
Normal
0.1
258
Normal
0.1
964
Normal
0.1
195
Tumor
0.1
426
Normal
0.1
723
Tumor
0.1
484
Normal
0.1
746
Normal
0.1
352
Normal
0.1
286
Normal
0.1
968
Normal
0.1
666
Normal
0.1
416
Normal
0.1
436
Normal
0.1
951
Tumor
0.1
914
Normal
0.1
728
Normal
0.1
494
Normal
0.1
564
Normal
0.1
818
Normal
0.1
138
Normal
0.0
471
Tumor
0.0
447
Tumor
0.0
232
Normal
0.0
777
Tumor
0.0
466
Normal
0.0
662
Normal
0.0
196
Normal
0.0
737
Tumor
0.0
162
Normal
0.0
392
Normal
0.0
1022
Normal
0.0
343
Tumor
0.0
481
Tumor
0.0
422
Normal
0.0
342
Normal
0.0
616
Normal
0.0
357
Tumor
0.0
858
Normal
0.0
482
Normal
0.0
926
Normal
0.0
535
Tumor
0.0
1013
Tumor
0.0
278
Normal
0.0
368
Normal
0.0
161
Tumor
0.0
824
Normal
0.0
272
Normal
0.0
427
Tumor
0.0
384
Normal
0.0
1015
Tumor
0.0
132
Normal
0.0
314
Normal
0.0
534
Normal
-0.1
814
Normal
-0.1
984
Normal
-0.1
257
Tumor
-0.1
277
Tumor
-0.1
428
Normal
-0.1
756
Normal
-0.1
424
Normal
-0.1
491
Tumor
-0.1
722
Normal
-0.1
647
Tumor
-0.1
865
Tumor
-0.1
114
Normal
-0.1
1041
Tumor
-0.1
467
Tumor
-0.1
473
Tumor
-0.1
1016
Normal
-0.1
884
Normal
-0.1
978
Normal
-0.1
977
Tumor
-0.1
356
Normal
-0.1
516
Normal
-0.1
617
Tumor
-0.2
128
Normal
-0.2
465
Tumor
-0.2
1042
Normal
-0.2
328
Normal
-0.2
452
Normal
-0.2
648
Normal
-0.2
1043
Tumor
-0.2
313
Tumor
-0.2
1014
Normal
-0.2
145
Tumor
-0.2
186
Normal
-0.2
745
Tumor
-0.2
868
Normal
-0.2
615
Tumor
-0.2
361
Tumor
-0.2
721
Tumor
-0.2
332
Normal
-0.2
433
Tumor
-0.2
414
Normal
-0.2
432
Normal
-0.2
385
Tumor
-0.3
446
Normal
-0.3
172
Normal
-0.3
713
Tumor
-0.3
383
Tumor
-0.3
813
Tumor
-0.3
557
Tumor
-0.3
912
Normal
-0.3
671
Tumor
-0.3
358
Normal
-0.3
527
Tumor
-0.4
261
Tumor
-0.4
861
Tumor
-0.4
191
Tumor
-0.4
873
Tumor
-0.4
913
Tumor
-0.4
967
Tumor
-0.4
341
Tumor
-0.4
981
Tumor
-0.4
567
Tumor
-0.4
1046
Normal
-0.4
395
Tumor
-0.4
217
Tumor
-0.5
863
Tumor
-0.5
451
Tumor
-0.5
135
Tumor
-0.5
113
Tumor
-0.6
523
Tumor
-0.6
125
Tumor
-0.6
353
Tumor
-0.6
188
Normal
-0.7
937
Tumor
-0.7
463
Tumor
-0.7
267
Tumor
-0.7
221
Tumor
-0.7
283
Tumor
-0.7
983
Tumor
-0.7
112
Tumor
-0.7
663
Tumor
-0.7
965
Tumor
-0.7
431
Tumor
-0.7
393
Tumor
-0.8
573
Tumor
-0.8
187
Tumor
-0.8
851
Tumor
-0.8
1031
Tumor
-0.8
1021
Tumor
-0.8
537
Tumor
-0.8
487
Tumor
-0.9
271
Tumor
-0.9
497
Tumor
-0.9
743
Tumor
-0.9
387
Tumor
-0.9
1025
Tumor
-0.9
331
Tumor
-0.9
517
Tumor
-0.9
755
Tumor
-0.9
724
Normal
-1.0
445
Tumor
-1.0
127
Tumor
-1.0
231
Tumor
-1.1
413
Tumor
-1.1
367
Tumor
-1.1
665
Tumor
-1.1
285
Tumor
-1.1
877
Tumor
-1.1
685
Tumor
-1.1
443
Tumor
-1.2
661
Tumor
-1.2
391
Tumor
-1.2
425
Tumor
-1.3
435
Tumor
-1.3
131
Tumor
-1.4
351
Tumor
-1.5
635
Tumor
-1.6
171
Tumor
-1.6
815
Tumor
-1.8
123
Tumor
-1.9
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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
