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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SH3BGRL 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
51.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
188.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
152.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
146.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
141.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
134.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
126.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
126.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
113.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
106.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
102.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
94.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
93.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
90.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
89.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
88.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
87.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
87.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
87.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
87.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
85.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
84.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
84.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
82.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
82.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
80.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
79.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
78.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
77.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
77.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
77.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
77.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
76.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
76.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
76.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
75.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
74.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
74.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
73.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
73.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
72.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
72.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
71.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
70.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
70.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
70.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
70.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
70.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
70.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
69.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
69.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
69.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
68.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
68.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
68.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
67.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
67.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
67.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
66.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
65.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
64.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
64.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
64.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
63.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
63.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
62.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
62.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
62.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
62.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
61.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
61.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
60.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
59.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
58.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
58.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
58.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
57.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
56.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
56.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
55.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
55.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
55.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
54.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
54.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
53.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
53.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
52.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
52.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
52.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
51.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
51.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
51.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
51.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
50.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
50.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
49.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
49.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
49.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
49.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
49.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
49.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
48.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
48.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
47.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
47.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
46.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
45.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
45.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
43.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
43.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
42.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
42.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
40.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
40.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
39.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
37.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
35.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
34.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
34.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
33.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
33.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
33.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
30.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
29.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
28.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
27.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
27.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
26.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
26.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
26.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
25.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
24.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
20.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
19.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
19.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
18.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
17.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
14.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
13.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
5.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 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.
SH3BGRL 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
52.9
Number of samples
486
Samples
Sample
Description
TPM
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
124.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
123.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
116.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
110.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
110.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
108.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
107.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
104.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
104.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
104.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
103.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
102.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
101.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
99.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
98.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
97.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
95.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
95.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
95.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
94.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
94.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
93.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
93.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
92.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
91.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
91.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
90.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
89.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
88.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
88.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
88.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
86.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
85.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
85.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
84.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
84.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
83.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
83.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
82.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
82.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
82.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
81.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
81.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
81.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
81.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
80.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
80.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
78.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
78.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
78.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
77.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
77.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
77.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
76.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
76.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
76.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
76.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
75.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
75.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
74.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
74.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
74.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
74.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
73.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
73.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
73.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
73.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
72.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
72.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
72.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
71.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
71.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
70.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
70.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
69.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
69.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
69.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
69.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
68.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
68.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
68.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
68.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
68.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
67.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
67.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
67.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
67.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
67.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
67.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
66.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
66.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
66.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
66.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
66.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
65.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
65.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
65.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
65.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
64.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
63.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
63.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
62.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
62.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
62.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
62.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
62.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
62.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
61.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
61.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
61.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
60.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
60.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
59.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
59.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
59.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
59.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
59.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
58.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
58.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
58.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
58.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
58.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
58.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
57.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
57.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
56.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
56.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
56.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
56.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
56.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
56.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
55.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
55.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
55.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
55.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
55.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
54.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
54.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
54.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
53.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
53.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
53.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
52.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
51.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
51.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
51.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
50.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
50.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
49.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
48.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
48.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
46.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
46.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
45.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
41.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
41.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
39.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
38.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
37.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
37.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
35.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
34.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
33.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
32.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
31.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
30.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
30.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
30.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
29.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
29.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
29.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
29.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
28.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
28.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
28.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
28.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
27.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
27.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
26.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
25.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
25.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
25.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
25.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
24.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
24.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
24.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
24.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
24.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
23.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
23.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
23.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
23.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
22.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
22.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
21.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
21.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
21.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
20.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
20.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
20.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
19.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
19.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
19.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
18.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
18.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
17.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
17.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
16.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
15.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
15.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
14.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
14.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
13.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
10.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
10.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
8.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
8.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
SH3BGRL 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
54.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
121.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
113.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
111.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
107.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
99.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
95.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
94.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
93.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
90.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
86.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
85.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
84.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
84.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
83.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
83.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
82.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
79.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
75.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
75.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
73.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
73.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
67.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
66.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
65.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
64.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
64.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
61.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
59.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
59.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
55.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
55.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
55.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
54.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
53.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
53.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
53.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
52.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
50.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
50.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
47.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
46.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
45.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
43.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
43.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
42.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
42.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
42.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
39.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
37.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
33.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
32.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
31.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
30.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
30.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
24.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
19.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
SH3BGRL 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
56.6
Number of samples
207
Samples
Sample
Description
TPM
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
173.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
113.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
112.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
109.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
109.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
103.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
102.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
98.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
96.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
95.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
93.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
92.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
88.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
87.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
86.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
86.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
86.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
86.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
85.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
84.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
84.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
83.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
83.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
82.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
82.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
81.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
81.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
81.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
80.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
78.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
77.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
75.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
75.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
75.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
74.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
74.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
73.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
73.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
71.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
70.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
70.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
70.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
69.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
68.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
68.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
68.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
67.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
65.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
64.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
63.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
62.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
61.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
61.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
61.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
61.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
57.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
56.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
56.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
55.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
55.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
55.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
54.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
52.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
51.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
50.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
49.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
49.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
46.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
44.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
35.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
33.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
33.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
28.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
21.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
19.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
17.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
11.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
2.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
2.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
2.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.2
82157a70-12f1-4913-b548-d98881_D2
Normal
1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
1.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.9
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.9
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.8
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-2.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-2.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-2.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.3
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.
The Human Protein Atlas project is funded
