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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.
SHROOM3 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
16.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
45.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
43.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
39.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
39.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
36.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
34.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
34.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
32.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
29.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
29.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
28.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
26.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
25.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
24.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
24.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
24.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
24.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
23.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
23.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
23.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
23.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
23.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
23.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
23.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
23.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
23.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
22.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
21.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
21.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
21.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
20.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
18.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
18.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
18.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
18.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
17.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
17.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
17.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
17.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
17.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
16.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
16.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
16.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
15.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
15.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
15.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
13.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
13.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
12.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
12.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
12.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
12.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
11.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
11.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
10.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
10.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
9.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
9.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
9.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
9.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
8.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
8.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
8.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
6.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
4.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 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.
SHROOM3 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.4
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
111.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
105.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
101.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
101.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
94.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
94.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
90.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
89.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
86.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
86.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
85.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
85.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
85.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
84.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
84.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
84.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
83.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
82.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
82.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
82.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
82.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
81.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
80.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
80.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
80.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
79.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
79.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
77.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
77.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
76.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
76.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
75.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
75.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
73.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
73.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
73.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
71.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
71.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
71.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
71.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
71.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
70.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
69.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
67.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
66.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
65.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
64.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
64.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
64.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
63.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
62.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
62.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
61.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
61.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
61.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
61.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
60.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
60.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
60.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
59.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
59.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
59.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
59.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
58.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
58.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
57.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
57.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
56.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
56.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
55.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
55.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
54.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
53.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
52.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
52.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
52.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
51.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
50.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
50.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
50.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
48.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
48.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
47.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
46.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
46.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
45.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
45.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
43.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
42.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
42.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
41.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
41.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
41.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
41.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
41.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
40.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
40.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
39.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
38.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
37.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
36.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
36.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
35.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
35.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
35.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
35.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
34.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
34.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
33.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
33.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
33.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
33.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
33.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
32.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
32.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
31.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
31.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
30.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
30.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
30.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
29.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
29.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
29.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
29.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
29.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
28.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
28.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
28.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
28.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
27.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
27.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
27.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
27.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
27.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
27.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
26.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
26.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
26.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
26.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
26.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
25.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
25.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
25.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
25.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
25.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
24.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
24.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
24.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
24.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
23.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
23.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
23.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
22.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
22.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
22.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
22.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
21.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
21.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
21.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
21.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
20.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
20.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
20.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
18.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
17.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
17.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
16.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
16.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
15.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
14.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
14.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
13.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
7.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SHROOM3 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
13.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
41.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
30.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
24.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
24.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
19.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
15.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
13.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
13.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
13.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
13.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
12.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
12.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
11.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
11.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
10.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
7.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
6.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
5.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
4.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
4.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SHROOM3 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
37.2
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
100.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
77.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
72.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
69.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
68.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
66.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
63.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
63.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
57.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
57.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
57.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
54.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
50.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
45.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
44.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
44.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
42.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
40.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
39.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
38.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
35.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
32.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
31.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
30.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
30.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
28.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
28.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
28.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
27.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
25.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
24.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
24.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
23.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
23.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
22.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
22.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
21.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
21.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
21.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
21.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
20.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
20.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
19.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
18.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
18.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
17.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
16.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
15.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
15.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
15.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
15.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
14.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
14.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
13.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
12.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
11.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
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Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
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Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
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Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.2
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
