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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.
SH3BGRL2 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
28.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
88.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
78.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
55.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
52.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
49.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
45.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
45.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
42.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
42.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
41.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
41.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
41.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
41.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
41.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
38.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
38.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
38.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
37.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
37.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
37.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
37.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
37.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
37.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
36.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
35.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
34.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
34.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
33.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
33.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
33.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
33.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
32.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
32.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
31.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
31.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
31.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
30.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
30.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
30.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
29.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
28.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
28.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
28.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
27.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
26.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
26.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
25.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
25.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
25.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
25.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
24.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
23.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
22.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
22.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
22.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
21.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
21.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
21.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
20.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
19.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
19.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
19.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
18.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
18.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
18.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
18.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
17.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
17.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
16.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
16.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
15.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
14.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
14.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
14.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
13.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
12.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
7.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
SH3BGRL2 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
45.4
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
120.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
112.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
101.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
96.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
94.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
91.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
87.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
87.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
86.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
85.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
85.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
84.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
83.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
82.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
78.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
77.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
76.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
76.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
75.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
75.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
73.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
73.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
73.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
72.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
72.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
72.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
72.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
72.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
71.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
71.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
70.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
69.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
69.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
68.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
68.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
67.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
66.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
66.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
65.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
65.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
64.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
64.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
64.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
64.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
64.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
62.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
62.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
62.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
62.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
61.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
60.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
60.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
60.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
60.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
59.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
58.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
58.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
57.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
57.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
56.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
55.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
54.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
54.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
54.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
53.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
52.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
51.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
50.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
49.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
49.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
49.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
49.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
48.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
48.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
48.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
47.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
46.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
45.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
44.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
44.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
43.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
43.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
42.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
40.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
40.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
39.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
38.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
37.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
37.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
37.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
37.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
37.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
36.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
35.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
35.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
34.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
33.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
32.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
32.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
31.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
31.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
31.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
30.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
30.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
30.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
29.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
29.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
29.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
28.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
27.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
27.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
26.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
26.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
25.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
25.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
25.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
25.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
25.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
25.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
24.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
24.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
23.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
23.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
23.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
23.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
22.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
22.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
21.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
21.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
21.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
20.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
20.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
20.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
20.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
19.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
19.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
18.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
16.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
15.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
14.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
14.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
13.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
12.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
12.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
12.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
10.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
9.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
9.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
SH3BGRL2 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
31.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
85.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
67.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
58.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
58.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
48.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
46.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
46.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
44.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
44.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
44.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
42.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
40.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
40.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
36.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
36.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
35.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
34.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
33.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
30.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
29.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
28.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
27.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
27.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
26.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
25.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
23.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
23.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
22.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
21.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
21.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.8
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.
SH3BGRL2 is potential prognostic, high expression is unfavorable 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
43.4
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
98.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
93.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
87.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
86.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
83.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
82.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
81.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
74.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
71.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
70.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
70.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
69.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
68.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
67.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
66.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
65.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
63.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
61.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
58.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
56.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
56.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
54.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
54.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
54.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
53.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
52.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
52.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
50.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
50.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
48.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
46.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
46.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
43.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
41.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
39.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
37.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
35.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
32.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
32.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
31.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
31.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
30.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
29.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
29.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
28.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
28.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
25.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
25.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
24.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
22.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
21.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
21.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
20.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
18.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
16.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
16.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
14.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
14.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
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Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
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Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-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
