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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.
STX3 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
40.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
105.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
102.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
98.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
95.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
91.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
89.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
83.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
82.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
81.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
81.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
80.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
79.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
78.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
70.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
68.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
68.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
68.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
67.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
67.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
65.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
64.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
64.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
64.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
62.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
62.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
62.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
62.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
60.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
60.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
58.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
58.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
56.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
55.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
54.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
53.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
52.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
52.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
51.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
50.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
49.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
49.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
49.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
49.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
49.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
48.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
48.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
47.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
47.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
46.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
45.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
45.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
45.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
43.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
43.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
43.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
43.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
42.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
42.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
42.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
41.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
39.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
39.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
39.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
39.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
38.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
38.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
38.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
36.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
36.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
35.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
34.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
33.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
33.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
33.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
31.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
31.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
31.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
30.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
30.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
30.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
29.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
29.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
28.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
27.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
27.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
26.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
25.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
25.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
24.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
24.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
24.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
23.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
23.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
22.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
21.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
21.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
21.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
20.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
19.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
19.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
17.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
17.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
17.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
15.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
14.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 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.
STX3 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
55.1
Number of samples
486
Samples
Sample
Description
TPM
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
209.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
187.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
157.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
147.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
140.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
127.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
127.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
125.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
124.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
122.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
121.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
116.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
115.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
109.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
106.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
104.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
103.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
102.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
102.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
98.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
97.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
96.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
95.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
95.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
94.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
93.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
93.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
91.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
91.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
90.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
90.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
90.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
88.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
88.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
88.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
87.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
85.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
85.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
85.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
83.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
83.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
82.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
80.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
80.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
79.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
79.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
79.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
79.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
79.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
78.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
78.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
77.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
77.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
77.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
76.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
76.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
75.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
75.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
75.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
73.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
73.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
73.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
72.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
71.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
71.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
70.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
70.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
70.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
70.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
70.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
69.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
69.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
69.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
69.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
69.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
69.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
68.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
68.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
68.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
67.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
66.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
66.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
66.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
66.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
66.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
65.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
65.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
65.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
65.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
65.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
65.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
64.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
64.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
64.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
64.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
64.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
64.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
63.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
63.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
63.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
62.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
62.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
62.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
61.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
60.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
60.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
60.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
59.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
59.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
59.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
58.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
57.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
57.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
57.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
57.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
56.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
56.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
56.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
56.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
56.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
56.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
56.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
55.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
55.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
55.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
55.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
54.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
54.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
54.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
54.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
54.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
53.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
52.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
52.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
52.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
52.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
51.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
51.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
50.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
50.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
50.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
50.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
49.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
49.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
49.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
48.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
48.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
47.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
46.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
46.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
44.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
43.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
43.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
42.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
41.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
40.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
40.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
38.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
38.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
38.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
37.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
37.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
37.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
36.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
35.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
34.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
33.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
33.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
33.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
32.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
32.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
31.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
30.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
29.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
28.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
28.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
28.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
26.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
26.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
24.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
24.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
23.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
23.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
22.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
16.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
14.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STX3 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
41.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
104.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
100.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
86.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
81.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
71.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
68.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
61.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
60.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
59.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
58.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
57.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
56.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
54.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
52.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
51.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
49.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
46.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
45.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
44.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
44.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
41.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
41.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
41.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
38.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
37.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
36.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
36.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
35.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
28.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
27.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
27.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
25.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STX3 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
53.1
Number of samples
207
Samples
Sample
Description
TPM
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
312.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
112.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
111.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
103.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
99.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
98.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
92.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
92.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
88.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
87.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
87.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
85.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
85.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
84.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
82.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
80.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
79.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
77.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
76.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
76.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
76.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
74.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
74.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
72.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
71.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
70.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
70.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
69.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
69.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
67.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
66.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
64.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
63.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
62.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
62.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
61.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
61.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
60.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
58.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
57.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
55.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
54.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
54.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
53.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
50.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
50.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
40.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
37.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
35.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
35.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
34.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
33.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
32.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
29.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
25.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
24.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
23.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
18.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
1.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
