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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.
SH3GLB2 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
44.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
92.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
90.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
90.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
84.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
84.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
80.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
79.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
76.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
75.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
73.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
72.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
72.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
72.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
71.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
68.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
67.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
63.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
63.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
63.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
62.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
62.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
61.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
60.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
60.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
60.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
60.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
60.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
58.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
57.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
57.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
57.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
56.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
56.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
56.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
56.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
55.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
55.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
55.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
54.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
54.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
54.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
54.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
54.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
54.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
54.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
53.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
53.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
53.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
53.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
53.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
53.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
52.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
52.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
51.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
51.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
50.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
49.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
49.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
49.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
49.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
49.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
48.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
48.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
48.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
47.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
47.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
46.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
46.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
46.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
46.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
46.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
45.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
45.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
45.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
45.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
45.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
44.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
44.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
44.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
44.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
44.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
43.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
43.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
43.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
42.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
42.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
42.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
42.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
41.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
41.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
40.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
40.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
39.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
39.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
39.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
39.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
38.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
38.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
38.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
38.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
37.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
37.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
36.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
36.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
35.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
35.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
35.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
35.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
35.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
33.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
32.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
32.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
32.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
31.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
31.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
31.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
30.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
29.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
28.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
28.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
27.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
27.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
27.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
19.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 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.
SH3GLB2 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
30.1
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
76.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
56.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
51.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
49.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
48.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
47.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
45.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
45.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
44.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
44.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
44.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
43.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
43.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
42.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
42.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
42.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
41.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
41.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
41.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
39.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
39.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
38.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
37.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
36.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
36.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
36.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
35.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
35.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
35.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
34.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
34.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
34.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
33.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
33.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
33.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
33.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
33.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
32.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
32.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
32.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
32.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
32.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
31.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
31.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
31.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
31.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
30.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
30.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
30.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
30.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
30.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
30.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
30.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
30.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
30.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
30.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
29.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
29.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
29.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
29.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
29.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
29.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
29.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
29.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
28.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
28.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
28.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
28.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
28.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
28.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
28.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
28.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
27.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
27.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
27.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
27.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
27.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
27.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
27.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
26.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
26.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
26.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
26.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
26.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
26.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
26.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
26.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
26.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
26.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
26.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
26.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
26.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
26.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
26.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
25.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
25.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
25.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
25.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
25.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
25.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
25.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
25.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
25.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
25.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
25.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
25.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
25.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
25.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
24.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
24.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
24.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
24.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
24.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
24.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
24.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
24.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
24.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
24.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
23.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
23.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
23.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
23.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
23.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
23.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
23.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
23.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
23.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
23.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
23.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
23.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
23.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
22.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
22.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
22.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
22.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
22.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
22.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
22.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
22.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
22.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
22.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
22.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
22.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
22.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
22.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
22.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
22.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
22.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
21.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
21.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
21.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
21.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
21.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
21.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
21.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
21.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
21.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
21.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
21.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
21.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
20.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
20.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
20.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
20.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
20.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
20.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
20.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
20.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
20.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
20.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
19.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
19.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
19.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
19.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
19.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
19.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
19.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
19.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
19.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
19.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
19.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
19.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
19.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
19.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
19.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
19.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
19.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
19.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
19.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
18.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
18.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
18.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
18.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
18.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
18.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
18.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
18.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
18.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
18.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
18.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
18.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
17.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
17.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
17.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
17.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
17.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
17.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
17.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
16.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
16.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
16.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
16.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
16.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
15.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
15.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
15.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
12.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
9.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
9.0
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.
SH3GLB2 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
41.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
101.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
81.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
77.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
77.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
71.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
64.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
62.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
55.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
55.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
53.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
53.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
46.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
46.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
43.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
40.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
40.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
39.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
39.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
37.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
36.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
36.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
36.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
36.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
35.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
34.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
34.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
33.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
32.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
30.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
30.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
28.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
27.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 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.
SH3GLB2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
25.4
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
38.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
36.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
36.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
35.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
34.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
33.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
32.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
31.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
31.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
31.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
30.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
30.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
29.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
29.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
29.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
28.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
28.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
28.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
28.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
27.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
26.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
26.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
26.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
25.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
25.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
25.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
25.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
25.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
25.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
25.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
24.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
24.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
24.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
24.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
24.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
24.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
24.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
24.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
24.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
24.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
24.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
24.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
23.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
23.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
23.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
23.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
23.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
23.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
22.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
22.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
22.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
22.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
22.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
22.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
22.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
21.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
21.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
21.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
21.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
21.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
21.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
21.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
21.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
21.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
21.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
21.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
20.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
20.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
20.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
19.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
19.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
19.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
19.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
19.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
19.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
19.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
19.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
19.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
19.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
18.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
18.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
18.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
18.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
18.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
18.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
18.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
18.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
18.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
18.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
17.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
17.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
17.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
17.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
16.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
16.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
16.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
16.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
15.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
15.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
15.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
15.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
15.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
14.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
14.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
14.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
14.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
14.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
13.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
13.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
12.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
9.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
7.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
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Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
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Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
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Tumor
0.1
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Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
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Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Tumor
0.0
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Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
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Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
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Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
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Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
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Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
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.