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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.
CFI 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
10.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
70.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
66.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
59.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
42.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
32.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
31.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
30.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
29.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
26.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
22.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
20.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
19.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
18.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
16.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
13.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
12.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
11.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
11.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
11.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
11.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
11.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
10.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
10.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
10.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
10.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
9.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
9.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
9.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
9.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
9.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
8.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
8.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
8.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
8.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
7.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
7.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
7.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
7.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
7.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
7.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
7.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
7.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
7.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
7.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
7.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
6.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
6.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
6.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
6.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
6.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
6.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
6.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
6.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
5.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
5.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
5.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
5.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
5.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
5.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
5.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
5.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
5.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
5.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
4.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
4.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
4.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
4.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
4.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
3.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
3.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
3.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
3.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
3.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
0.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
0.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
CFI 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
13.6
Number of samples
486
Samples
Sample
Description
TPM
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
130.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
69.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
35.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
33.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
31.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
31.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
30.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
28.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
28.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
28.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
27.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
27.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
26.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
25.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
24.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
24.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
24.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
24.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
24.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
23.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
23.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
23.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
23.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
23.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
23.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
22.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
22.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
22.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
22.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
22.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
22.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
22.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
21.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
21.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
21.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
21.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
21.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
21.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
20.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
20.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
20.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
20.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
20.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
20.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
20.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
20.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
20.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
19.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
19.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
19.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
19.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
19.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
19.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
18.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
18.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
18.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
18.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
18.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
18.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
18.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
17.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
17.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
17.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
17.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
17.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
17.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
17.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
17.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
17.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
17.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
17.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
17.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
17.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
17.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
17.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
16.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
16.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
16.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
16.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
16.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
16.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
16.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
15.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
15.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
15.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
15.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
15.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
15.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
15.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
15.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
15.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
15.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
15.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
15.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
15.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
15.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
15.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
14.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
14.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
14.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
14.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
14.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
14.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
14.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
14.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
14.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
14.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
14.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
14.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
14.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
14.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
14.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
14.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
14.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
14.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
14.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
13.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
13.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
13.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
13.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
13.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
13.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
13.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
13.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
13.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
13.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
13.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
13.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
13.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
13.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
13.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
13.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
13.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
13.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
13.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
13.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
13.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
13.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
12.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
12.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
12.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
12.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
12.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
12.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
12.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
12.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
12.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
12.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
12.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
12.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
12.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
12.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
12.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
12.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
11.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
11.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
11.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
11.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
11.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
11.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
11.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
11.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
11.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
11.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
11.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
11.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
11.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
11.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
11.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
11.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
11.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
11.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
11.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
11.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
11.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
10.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
10.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
10.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
10.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
10.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
10.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
10.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
10.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
10.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
10.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
10.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
10.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
10.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
10.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
10.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
10.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
10.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
10.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
10.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
10.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
10.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
10.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
10.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
10.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
10.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
10.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
10.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
10.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
10.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
10.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
10.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
9.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
9.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
9.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
9.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
9.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
9.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
9.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
9.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
9.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
9.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
9.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
9.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
9.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
9.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
9.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
9.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
9.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
9.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
9.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
9.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
8.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
8.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
8.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
8.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
8.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
8.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
8.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
8.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
8.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
8.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
8.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
8.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
8.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
8.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
8.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
8.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
8.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
8.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
8.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
8.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
8.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
8.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
8.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
8.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
8.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
8.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
8.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
8.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
8.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
8.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
8.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
7.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
7.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
7.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
7.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
7.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
7.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
7.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
7.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
7.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
7.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
7.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
7.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
7.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
7.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
7.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
7.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
7.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
7.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
7.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
7.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
7.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
7.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
7.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
7.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
7.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
7.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
7.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
7.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
7.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
6.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
6.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
6.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
6.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
6.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
6.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
6.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
6.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
6.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
6.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
6.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
6.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
6.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
6.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
6.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
6.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
6.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
6.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
6.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
6.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
6.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
6.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
6.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
6.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
6.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
6.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
6.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
6.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
6.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
6.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
6.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
6.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
5.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
5.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
5.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
5.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
5.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
5.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
5.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
5.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
5.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
5.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
5.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
5.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
5.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
5.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
5.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
5.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
5.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
5.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
5.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
5.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
5.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
5.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
5.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
5.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
5.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
5.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
5.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
5.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
5.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
5.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
5.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
5.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
5.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
5.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
5.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
5.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
5.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
5.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
5.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
4.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
4.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
4.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
4.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
4.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
4.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
4.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
4.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
4.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
4.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
4.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
4.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
4.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
4.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
3.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
3.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
3.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
3.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
3.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
3.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
3.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
3.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
3.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
3.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
3.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
3.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
3.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
3.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
3.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
3.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
3.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
3.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
3.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
3.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
2.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
2.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
2.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
2.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
2.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
2.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
2.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
2.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
2.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
2.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
2.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
2.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
2.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
2.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
2.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
0.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CFI 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
9.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
71.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
31.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
20.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
11.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
10.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
10.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
10.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
7.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
7.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
7.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
6.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
6.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
5.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
5.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
4.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
4.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
4.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
4.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
3.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
3.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
3.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
3.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
3.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
3.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
3.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
2.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1.0
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.
CFI 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
14.2
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
59.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
56.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
52.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
38.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
36.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
31.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
27.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
27.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
24.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
23.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
22.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
21.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
21.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
21.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
21.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
20.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
20.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
19.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
19.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
19.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
18.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
18.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
18.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
18.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
18.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
17.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
17.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
17.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
16.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
16.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
16.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
15.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
15.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
14.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
14.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
14.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
14.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
14.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
13.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
13.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
13.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
12.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
12.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
12.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
12.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
12.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
12.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
12.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
12.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
12.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
12.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
11.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
11.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
11.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
11.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
11.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
11.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
11.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
11.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
11.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
11.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
10.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
10.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
10.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
10.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
10.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
10.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
10.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
10.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
9.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
9.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
9.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
9.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
9.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
9.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
8.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
8.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
8.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
8.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
8.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
8.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
8.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
8.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
8.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
8.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
8.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
8.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
8.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
8.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
8.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
8.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
7.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
7.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
7.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
7.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
7.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
7.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
7.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
7.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
7.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
7.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
7.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
7.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
7.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
7.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
7.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
6.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
6.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
6.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
6.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
6.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
6.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
6.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
6.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
6.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
6.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
6.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
6.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
6.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
6.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
6.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
6.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
5.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
5.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
5.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
5.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
5.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
5.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
5.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
5.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
5.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
5.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
5.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
5.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
4.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
4.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
4.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
4.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
4.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
4.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
4.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
4.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
4.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
4.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
4.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
4.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
3.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
3.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
3.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
3.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
3.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
3.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
3.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
3.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
3.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
2.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
2.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
2.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
2.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
2.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
0.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
2.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.8
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.8
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
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
