We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SMARCC1 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
35.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
78.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
74.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
73.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
64.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
60.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
59.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
59.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
59.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
58.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
56.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
54.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
52.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
51.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
50.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
50.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
50.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
49.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
49.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
49.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
48.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
48.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
48.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
47.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
47.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
47.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
47.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
45.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
45.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
45.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
44.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
44.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
44.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
44.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
43.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
42.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
42.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
41.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
41.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
41.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
41.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
41.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
41.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
39.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
39.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
39.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
38.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
38.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
37.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
37.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
37.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
37.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
37.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
37.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
36.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
36.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
36.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
35.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
35.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
35.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
35.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
34.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
34.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
34.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
34.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
34.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
34.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
34.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
34.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
34.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
33.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
33.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
33.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
32.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
32.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
32.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
31.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
30.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
30.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
29.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
29.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
29.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
28.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
27.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
27.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
27.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
27.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
26.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
26.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
26.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
26.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
25.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
25.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
25.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
23.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
22.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
21.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
20.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
20.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
18.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
18.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
15.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
13.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
12.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
SMARCC1 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
35.6
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
65.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
63.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
60.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
58.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
55.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
53.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
53.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
52.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
51.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
51.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
51.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
50.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
49.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
49.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
49.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
48.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
48.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
48.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
47.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
47.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
47.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
46.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
46.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
46.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
46.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
45.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
45.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
45.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
44.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
44.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
44.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
42.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
42.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
42.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
42.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
39.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
39.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
39.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
38.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
38.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
37.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
35.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
35.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
35.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
35.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
34.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
34.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
34.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
34.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
34.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
33.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
33.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
33.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
33.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
33.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
32.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
31.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
31.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
31.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
30.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
30.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
30.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
30.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
29.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
29.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
29.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
29.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
29.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
29.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
29.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
28.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
28.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
28.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
28.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
28.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
28.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
27.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
27.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
27.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
27.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
27.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
27.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
26.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
26.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
26.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
26.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
26.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
26.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
26.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
26.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
25.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
25.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
25.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
25.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
25.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
25.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
25.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
24.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
24.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
24.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
24.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
24.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
24.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
23.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
23.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
23.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
23.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
23.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
23.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
23.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
23.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
23.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
22.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
22.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
22.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
21.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
21.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
21.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
20.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
20.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
20.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
20.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
20.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
20.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
19.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
19.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
19.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
18.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
18.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
18.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
17.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
17.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
16.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
16.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
16.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
16.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
16.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
16.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
16.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
16.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
13.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
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.
SMARCC1 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
38.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
70.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
66.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
64.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
60.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
56.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
54.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
52.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
51.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
51.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
49.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
48.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
48.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
46.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
45.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
44.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
44.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
39.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
37.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
35.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
35.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
33.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
33.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
33.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
32.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
30.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
29.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
28.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
25.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
21.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
16.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
14.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SMARCC1 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
34.1
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
55.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
47.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
46.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
45.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
44.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
44.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
44.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
42.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
35.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
34.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
34.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
33.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
32.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
32.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
32.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
31.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
30.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
29.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
29.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
28.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
28.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
28.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
28.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
28.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
27.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
26.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
26.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
26.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
25.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
25.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
24.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
24.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
23.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
23.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
22.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
20.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
20.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
20.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
19.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
19.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
19.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
18.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
17.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
16.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
14.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
12.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
