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.
SMC1A 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
32.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
94.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
84.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
82.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
78.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
78.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
75.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
73.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
68.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
67.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
67.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
65.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
64.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
63.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
62.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
60.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
57.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
56.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
51.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
51.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
51.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
50.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
50.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
50.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
49.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
48.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
48.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
46.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
46.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
45.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
45.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
45.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
45.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
44.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
44.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
41.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
40.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
40.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
39.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
38.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
38.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
36.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
35.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
35.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
35.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
35.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
35.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
34.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
33.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
33.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
31.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
31.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
30.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
29.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
29.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
29.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
28.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
27.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
26.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
26.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
26.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
25.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
25.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
25.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
25.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
24.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
24.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
24.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
24.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
23.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
23.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
21.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
21.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
20.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
19.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
19.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
18.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
17.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
17.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
17.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
15.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
14.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
14.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
14.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
13.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
12.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
10.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
9.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
SMC1A 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
51.7
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
139.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
128.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
111.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
108.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
105.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
105.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
105.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
104.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
103.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
100.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
99.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
96.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
96.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
95.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
94.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
92.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
92.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
91.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
91.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
91.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
90.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
90.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
89.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
89.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
89.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
88.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
87.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
86.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
85.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
85.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
85.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
85.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
84.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
84.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
84.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
83.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
83.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
83.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
82.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
82.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
81.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
81.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
80.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
80.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
80.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
80.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
80.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
79.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
79.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
78.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
75.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
75.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
75.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
75.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
74.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
74.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
74.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
73.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
73.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
73.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
73.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
72.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
72.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
71.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
70.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
69.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
68.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
68.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
67.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
67.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
67.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
67.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
67.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
67.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
66.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
66.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
65.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
65.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
64.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
64.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
64.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
63.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
63.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
63.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
62.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
62.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
61.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
61.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
61.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
60.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
60.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
60.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
60.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
60.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
60.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
59.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
58.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
58.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
57.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
57.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
57.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
56.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
56.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
56.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
55.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
55.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
52.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
51.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
51.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
50.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
50.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
49.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
49.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
48.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
48.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
48.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
47.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
47.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
46.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
44.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
44.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
43.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
43.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
43.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
43.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
41.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
41.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
40.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
40.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
39.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
39.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
39.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
38.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
38.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
38.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
38.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
36.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
36.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
34.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
34.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
33.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
33.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
33.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
32.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
31.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
31.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
31.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
31.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
29.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
29.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
28.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
28.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
28.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
27.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
25.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
25.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
23.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
22.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
20.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
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.
SMC1A 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
32.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
86.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
86.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
77.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
74.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
71.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
58.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
56.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
49.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
45.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
43.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
41.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
41.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
38.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
37.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
36.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
36.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
35.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
33.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
32.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
32.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
31.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
29.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
29.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
27.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
26.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
25.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
24.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
23.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
18.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
15.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
14.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
13.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
11.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SMC1A 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
44.9
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
104.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
100.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
96.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
85.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
83.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
83.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
83.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
81.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
81.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
80.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
79.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
73.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
68.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
67.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
66.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
66.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
65.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
63.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
62.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
60.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
60.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
58.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
58.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
57.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
56.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
55.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
55.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
54.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
48.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
46.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
45.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
43.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
43.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
40.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
39.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
38.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
38.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
37.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
36.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
35.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
35.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
33.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
32.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
31.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
31.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
30.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
29.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
29.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
29.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
28.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
27.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
27.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
24.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
22.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
22.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
21.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
18.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
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
