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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.
KIF16B 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
14.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
38.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
35.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
30.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
29.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
29.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
28.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
26.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
26.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
25.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
25.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
24.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
23.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
23.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
23.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
22.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
21.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
21.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
21.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
21.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
21.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
20.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
20.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
18.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
18.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
16.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
16.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
16.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
14.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
14.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
13.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
12.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
12.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
12.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
11.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
11.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
10.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
10.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
10.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
10.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
10.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
10.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
9.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
9.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
9.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
9.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
8.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
8.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
8.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
8.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
8.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
8.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
7.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
7.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
7.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
7.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
7.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
7.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
7.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
7.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
6.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
5.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
5.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
4.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 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.
KIF16B 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
26.9
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
89.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
86.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
73.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
68.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
65.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
64.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
63.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
61.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
60.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
54.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
50.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
49.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
48.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
47.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
45.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
44.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
44.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
41.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
41.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
41.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
39.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
38.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
36.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
35.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
34.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
33.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
33.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
32.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
32.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
32.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
31.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
30.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
30.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
30.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
30.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
30.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
30.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
30.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
30.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
29.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
29.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
29.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
29.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
29.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
29.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
29.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
29.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
29.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
29.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
28.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
28.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
28.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
28.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
28.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
28.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
28.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
28.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
28.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
28.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
27.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
27.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
27.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
27.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
27.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
27.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
27.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
27.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
27.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
27.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
27.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
27.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
26.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
26.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
26.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
26.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
26.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
26.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
26.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
25.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
25.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
25.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
25.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
25.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
24.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
24.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
24.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
24.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
24.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
24.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
24.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
24.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
24.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
24.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
24.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
24.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
24.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
24.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
24.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
24.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
23.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
23.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
23.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
23.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
23.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
23.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
23.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
23.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
23.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
23.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
23.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
22.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
22.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
22.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
22.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
22.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
22.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
22.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
22.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
22.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
22.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
22.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
22.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
22.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
22.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
22.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
22.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
22.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
21.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
21.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
21.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
21.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
21.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
21.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
21.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
21.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
21.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
21.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
21.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
21.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
21.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
21.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
21.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
20.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
20.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
20.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
20.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
20.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
20.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
20.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
20.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
20.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
20.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
20.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
20.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
20.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
20.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
20.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
20.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
20.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
20.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
20.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
20.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
20.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
20.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
20.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
20.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
20.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
19.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
19.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
19.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
19.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
19.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
19.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
19.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
19.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
19.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
19.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
19.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
19.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
19.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
19.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
19.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
19.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
19.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
19.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
19.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
19.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
19.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
19.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
18.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
18.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
18.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
18.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
18.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
18.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
18.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
18.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
18.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
18.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
18.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
18.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
18.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
18.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
18.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
18.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
18.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
18.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
18.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
17.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
17.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
17.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
17.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
17.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
17.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
17.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
17.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
17.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
17.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
17.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
17.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
17.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
17.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
17.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
16.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
16.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
16.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
16.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
16.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
16.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
16.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
16.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
16.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
16.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
16.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
16.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
16.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
16.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
16.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
16.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
16.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
16.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
16.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
16.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
16.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
16.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
16.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
16.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
15.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
15.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
15.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
15.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
15.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
15.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
15.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
15.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
15.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
15.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
14.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
14.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
14.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
14.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
14.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
14.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
14.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
14.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
14.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
14.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
13.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
13.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
13.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
13.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
13.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
13.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
13.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
13.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
13.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
12.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
12.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
12.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
12.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
12.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
12.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
11.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
11.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
11.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
10.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
10.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
10.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
10.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
10.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
10.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
9.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
9.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
9.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
9.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
9.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
9.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
8.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
8.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
8.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
KIF16B 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
16.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
107.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
48.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
42.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
35.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
28.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
25.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
24.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
23.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
22.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
19.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
18.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
15.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
14.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
14.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
12.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
12.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
11.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
11.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
10.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
10.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
10.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
9.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
9.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
8.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
7.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
7.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.1
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.
KIF16B 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
25.5
Number of samples
207
Samples
Sample
Description
TPM
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
58.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
56.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
52.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
49.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
32.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
31.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
31.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
31.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
29.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
29.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
27.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
26.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
25.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
25.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
25.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
25.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
25.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
25.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
24.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
24.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
24.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
24.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
24.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
24.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
23.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
23.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
23.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
23.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
23.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
23.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
22.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
22.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
22.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
22.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
21.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
21.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
21.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
21.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
21.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
21.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
21.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
21.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
21.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
21.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
20.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
20.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
20.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
20.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
20.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
20.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
19.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
19.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
19.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
19.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
19.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
19.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
18.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
18.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
18.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
18.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
18.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
18.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
18.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
17.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
17.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
17.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
17.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
17.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
17.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
17.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
17.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
17.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
17.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
17.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
17.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
17.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
17.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
16.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
16.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
16.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
16.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
16.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
16.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
16.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
16.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
16.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
16.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
15.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
15.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
14.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
14.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
14.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
13.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
13.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
13.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
13.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
13.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
13.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
12.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
12.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
12.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
12.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
11.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
10.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
10.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
9.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
9.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
8.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
7.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.9
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
