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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
INTS8 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
16.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
37.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
35.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
35.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
33.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
33.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
31.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
30.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
30.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
29.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
29.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
29.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
29.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
28.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
28.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
27.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
24.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
24.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
24.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
22.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
22.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
22.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
22.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
20.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
20.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
19.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
19.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
19.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
19.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
18.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
18.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
18.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
17.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
17.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
17.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
17.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
17.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
17.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
17.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
17.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
16.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
16.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
16.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
16.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
16.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
16.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
16.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
15.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
15.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
14.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
14.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
13.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
12.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
12.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
12.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
12.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
12.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
12.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
11.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
11.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
11.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
11.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
10.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
10.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
10.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
9.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
9.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
7.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
7.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
6.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 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.
INTS8 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.9
Number of samples
486
Samples
Sample
Description
TPM
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
133.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
108.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
107.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
105.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
96.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
91.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
91.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
85.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
85.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
82.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
82.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
80.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
80.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
79.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
76.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
76.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
76.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
75.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
74.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
73.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
71.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
70.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
70.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
69.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
69.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
67.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
67.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
67.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
66.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
64.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
64.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
64.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
63.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
63.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
63.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
62.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
62.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
62.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
62.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
62.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
62.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
62.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
61.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
60.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
60.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
59.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
59.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
58.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
58.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
57.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
56.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
56.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
55.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
55.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
53.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
51.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
50.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
50.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
49.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
49.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
49.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
49.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
48.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
48.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
47.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
47.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
46.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
46.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
46.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
45.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
45.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
45.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
45.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
44.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
43.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
43.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
43.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
43.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
43.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
42.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
41.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
41.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
40.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
40.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
40.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
40.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
39.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
39.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
38.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
38.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
38.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
37.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
37.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
37.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
37.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
36.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
36.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
36.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
36.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
36.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
36.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
35.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
35.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
35.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
35.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
34.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
34.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
34.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
34.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
32.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
32.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
32.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
31.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
31.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
31.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
31.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
30.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
30.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
29.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
29.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
29.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
28.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
28.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
27.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
27.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
27.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
26.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
26.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
25.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
25.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
25.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
22.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
20.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
19.2
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.
INTS8 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
18.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
79.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
43.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
43.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
34.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
29.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
27.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
25.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
25.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
25.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
23.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
19.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
19.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
18.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
17.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
17.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
17.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
16.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
15.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
14.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
13.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
11.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
10.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
INTS8 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
46.9
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
150.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
119.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
100.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
100.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
96.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
94.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
86.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
85.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
82.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
79.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
78.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
77.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
77.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
77.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
74.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
73.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
71.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
69.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
69.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
68.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
68.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
67.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
63.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
63.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
62.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
62.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
61.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
60.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
58.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
56.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
56.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
56.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
52.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
52.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
51.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
50.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
48.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
47.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
47.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
46.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
43.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
42.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
41.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
41.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
40.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
39.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
37.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
37.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
34.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
33.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
32.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
31.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
31.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
31.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
28.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
26.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
26.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
26.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
25.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
23.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
21.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
18.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
15.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
