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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.
MAST2 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
20.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
94.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
39.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
38.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
36.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
34.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
34.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
31.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
31.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
31.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
29.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
29.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
29.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
28.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
28.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
28.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
28.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
26.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
26.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
26.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
26.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
26.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
26.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
25.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
24.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
24.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
24.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
24.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
24.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
23.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
23.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
23.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
22.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
22.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
22.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
21.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
21.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
21.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
21.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
21.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
20.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
20.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
20.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
20.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
20.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
20.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
19.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
19.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
19.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
19.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
18.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
18.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
17.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
17.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
17.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
17.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
17.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
16.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
16.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
16.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
15.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
15.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
15.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
14.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
14.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
14.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
13.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
13.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
13.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
12.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
12.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
11.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
9.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
9.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.7
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.
MAST2 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
34.5
Number of samples
486
Samples
Sample
Description
TPM
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
82.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
76.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
74.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
68.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
61.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
58.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
56.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
56.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
49.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
47.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
44.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
44.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
41.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
41.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
40.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
40.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
40.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
39.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
39.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
39.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
39.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
38.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
38.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
37.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
37.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
37.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
37.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
36.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
36.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
36.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
36.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
36.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
35.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
35.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
35.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
35.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
34.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
34.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
34.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
34.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
33.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
33.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
33.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
33.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
33.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
33.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
33.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
33.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
33.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
33.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
32.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
32.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
32.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
32.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
32.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
32.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
32.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
32.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
31.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
31.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
31.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
31.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
31.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
30.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
30.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
30.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
30.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
30.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
30.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
30.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
29.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
29.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
29.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
29.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
28.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
28.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
28.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
28.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
28.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
28.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
28.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
28.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
28.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
28.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
27.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
27.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
27.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
26.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
26.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
26.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
26.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
26.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
26.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
26.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
26.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
26.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
26.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
25.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
25.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
25.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
25.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
25.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
25.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
24.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
24.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
24.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
24.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
24.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
24.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
23.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
23.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
23.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
23.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
23.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
23.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
23.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
22.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
22.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
22.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
22.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
22.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
22.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
22.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
21.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
21.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
21.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
21.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
20.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
20.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
20.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
19.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
18.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
18.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
17.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
15.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
15.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
15.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
13.9
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.
MAST2 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
19.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
54.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
48.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
26.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
26.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
23.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
23.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
21.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
21.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
19.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
19.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
19.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
17.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
16.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
15.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
15.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
14.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
13.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
12.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
10.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
6.3
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.
MAST2 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
31.7
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
57.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
51.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
39.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
36.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
34.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
34.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
34.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
34.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
33.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
33.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
33.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
32.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
32.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
32.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
30.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
30.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
29.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
29.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
29.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
29.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
28.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
28.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
28.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
27.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
26.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
26.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
26.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
25.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
25.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
25.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
25.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
24.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
24.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
24.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
24.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
23.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
23.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
22.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
22.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
22.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
22.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
21.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
20.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
20.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
19.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
18.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
17.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
15.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
15.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
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Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
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Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
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Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
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Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.0
b2400046-1d25-429d-a821-6040a6
Tumor
-1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.2
176d1b96-8c6e-44fe-8a32-e15194_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
