We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
BEX3 is not prognostic in Colon Adenocarcinoma (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
65.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
320.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
222.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
178.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
175.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
171.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
165.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
157.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
154.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
153.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
153.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
151.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
151.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
147.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
145.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
144.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
143.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
142.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
141.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
140.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
135.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
134.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
132.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
131.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
130.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
128.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
128.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
126.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
122.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
121.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
121.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
119.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
119.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
117.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
117.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
116.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
116.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
115.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
114.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
114.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
114.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
113.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
111.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
110.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
109.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
109.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
109.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
108.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
108.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
107.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
105.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
104.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
103.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
100.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
100.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
99.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
99.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
97.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
97.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
96.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
96.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
94.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
94.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
93.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
91.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
91.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
91.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
91.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
90.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
89.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
87.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
87.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
86.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
86.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
85.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
85.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
84.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
83.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
83.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
82.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
82.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
82.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
82.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
81.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
80.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
79.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
79.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
77.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
77.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
76.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
75.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
75.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
75.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
74.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
74.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
73.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
73.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
73.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
70.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
70.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
68.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
68.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
68.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
68.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
68.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
67.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
67.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
65.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
65.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
65.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
64.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
62.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
62.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
61.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
60.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
60.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
58.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
58.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
56.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
56.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
56.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
55.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
55.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
55.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
55.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
52.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
49.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
49.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
48.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
47.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
47.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
46.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
46.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
45.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
42.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
42.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
42.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
37.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
33.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
31.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
31.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
31.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
28.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
28.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
27.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
25.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
22.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
22.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
19.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
17.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
16.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
13.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
8.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
7.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
5.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
BEX3 is not prognostic in Colon Adenocarcinoma (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
39.5
Number of samples
486
Samples
Sample
Description
TPM
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
165.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
124.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
112.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
108.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
103.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
102.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
102.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
101.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
101.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
99.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
98.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
98.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
97.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
97.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
95.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
93.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
91.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
91.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
89.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
87.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
85.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
82.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
82.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
81.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
78.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
77.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
75.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
74.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
73.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
72.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
71.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
71.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
71.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
70.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
69.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
69.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
68.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
67.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
64.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
63.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
62.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
62.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
62.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
62.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
61.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
61.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
60.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
60.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
60.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
59.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
59.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
57.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
56.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
56.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
56.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
52.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
52.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
52.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
51.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
51.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
50.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
49.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
49.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
49.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
48.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
47.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
47.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
46.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
46.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
43.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
41.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
40.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
39.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
39.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
38.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
36.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
36.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
36.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
36.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
35.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
35.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
34.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
33.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
33.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
32.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
32.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
32.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
31.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
30.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
30.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
30.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
30.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
29.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
29.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
29.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
29.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
28.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
28.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
28.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
27.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
27.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
27.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
26.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
26.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
26.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
26.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
26.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
26.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
26.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
25.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
25.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
25.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
24.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
24.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
24.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
24.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
24.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
23.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
23.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
23.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
23.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
23.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
23.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
22.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
22.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
22.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
22.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
22.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
21.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
21.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
21.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
21.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
21.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
21.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
21.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
21.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
21.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
20.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
20.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
20.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
20.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
20.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
20.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
19.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
19.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
19.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
19.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
19.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
19.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
19.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
19.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
19.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
19.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
19.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
18.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
18.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
18.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
18.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
18.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
18.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
18.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
18.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
18.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
17.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
17.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
17.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
17.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
17.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
17.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
17.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
17.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
17.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
17.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
16.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
16.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
16.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
16.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
16.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
16.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
16.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
16.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
15.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
15.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
15.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
15.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
15.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
15.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
15.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
14.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
14.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
14.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
14.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
14.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
14.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
14.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
13.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
13.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
13.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
13.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
13.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
13.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
13.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
13.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
13.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
12.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
12.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
12.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
12.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
12.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
12.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
12.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
12.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
11.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
11.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
11.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
11.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
11.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
10.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
10.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
10.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
10.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
10.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
10.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
10.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
9.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
9.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
9.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
9.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
8.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
8.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
8.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
8.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
7.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
7.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
7.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
6.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
6.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
6.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
6.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
5.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
5.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
4.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
3.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
BEX3 is not prognostic in Rectum Adenocarcinoma (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
63.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
207.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
158.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
153.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
152.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
151.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
137.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
127.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
127.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
124.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
116.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
116.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
116.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
114.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
110.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
109.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
107.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
107.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
106.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
104.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
103.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
96.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
95.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
93.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
93.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
91.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
91.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
86.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
85.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
82.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
81.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
79.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
72.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
69.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
67.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
66.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
65.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
63.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
62.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
62.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
58.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
57.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
55.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
53.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
44.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
41.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
33.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
32.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
28.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
27.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
21.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
21.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
15.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
13.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 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.
BEX3 is not prognostic in Rectum Adenocarcinoma (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
35.5
Number of samples
207
Samples
Sample
Description
TPM
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
163.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
99.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
85.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
83.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
80.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
80.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
78.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
75.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
71.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
69.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
68.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
63.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
63.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
60.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
58.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
56.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
54.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
51.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
50.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
48.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
47.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
42.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
37.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
32.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
27.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
27.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
26.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
26.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
26.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
25.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
24.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
24.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
24.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
23.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
23.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
23.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
22.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
21.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
21.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
20.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
19.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
19.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
19.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
18.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
17.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
17.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
17.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
17.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
16.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
16.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
16.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
15.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
15.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
15.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
15.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
14.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
14.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
14.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
14.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
14.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
14.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
14.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
13.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
13.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
13.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
13.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
13.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
12.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
11.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
11.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
11.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
10.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
10.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
10.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
9.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
9.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
9.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
8.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
8.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
8.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
8.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
7.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
7.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
6.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
6.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
6.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
3.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.1
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL 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.