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.
INTS10 is potential prognostic, high expression is favorable 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
28.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
83.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
73.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
69.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
69.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
63.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
53.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
52.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
52.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
52.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
49.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
49.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
49.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
47.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
47.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
46.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
46.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
46.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
46.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
43.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
42.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
42.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
41.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
41.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
40.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
40.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
40.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
40.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
39.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
39.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
39.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
38.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
37.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
37.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
37.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
35.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
35.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
34.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
34.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
34.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
34.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
34.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
32.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
30.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
29.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
27.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
27.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
26.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
26.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
24.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
24.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
24.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
24.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
24.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
23.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
23.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
22.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
21.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
21.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
20.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
20.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
20.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
20.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
20.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
20.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
20.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
20.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
19.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
19.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
19.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
18.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
18.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
18.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
18.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
18.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
17.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
17.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
17.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
16.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
16.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
15.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
14.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
13.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
13.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
12.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
12.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
12.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 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.
INTS10 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
51.1
Number of samples
486
Samples
Sample
Description
TPM
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
155.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
141.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
141.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
128.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
126.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
124.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
118.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
117.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
114.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
111.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
110.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
107.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
106.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
105.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
100.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
99.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
99.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
97.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
96.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
95.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
95.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
94.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
93.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
92.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
91.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
89.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
87.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
85.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
83.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
83.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
83.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
82.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
82.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
82.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
82.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
81.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
81.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
80.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
79.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
78.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
76.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
76.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
76.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
75.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
75.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
74.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
74.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
74.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
74.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
73.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
73.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
73.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
72.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
72.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
71.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
71.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
70.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
70.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
70.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
69.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
69.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
68.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
68.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
68.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
67.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
67.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
66.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
66.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
66.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
65.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
65.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
65.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
65.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
65.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
64.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
64.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
64.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
63.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
62.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
62.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
61.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
61.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
61.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
60.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
59.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
59.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
59.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
58.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
57.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
57.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
56.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
56.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
55.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
55.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
55.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
54.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
53.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
52.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
52.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
51.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
50.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
50.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
50.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
49.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
49.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
47.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
47.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
45.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
45.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
44.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
44.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
44.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
43.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
42.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
42.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
41.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
41.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
39.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
39.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
35.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
35.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
34.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
33.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
33.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
32.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
32.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
31.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
31.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
31.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
31.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
31.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
30.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
30.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
29.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
29.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
28.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
28.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
28.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
28.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
28.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
28.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
27.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
26.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
26.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
26.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
26.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
26.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
24.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
24.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
24.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
24.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
23.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
22.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
22.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
22.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
21.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
21.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
21.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
21.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
19.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
19.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
18.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
18.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
18.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
15.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
INTS10 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
26.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
55.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
49.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
47.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
44.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
42.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
41.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
41.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
40.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
40.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
38.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
36.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
36.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
32.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
28.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
28.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
23.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
23.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
23.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
22.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
22.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
21.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
19.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
18.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
15.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
14.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
14.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
12.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
12.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
INTS10 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
41.5
Number of samples
207
Samples
Sample
Description
TPM
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
129.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
109.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
107.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
106.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
95.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
79.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
79.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
77.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
69.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
67.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
67.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
66.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
64.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
63.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
60.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
57.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
56.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
55.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
54.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
53.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
52.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
51.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
50.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
43.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
42.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
42.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
37.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
36.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
34.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
34.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
32.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
31.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
28.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
27.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
26.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
25.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
24.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
24.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
24.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
23.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
23.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
23.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
21.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
20.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
19.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
18.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
17.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
16.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
16.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
15.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
10.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.9
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-1.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-2.0
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.