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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.
KIFC1 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
27.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
75.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
67.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
59.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
55.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
54.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
53.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
52.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
51.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
50.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
49.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
49.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
47.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
44.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
44.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
42.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
42.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
42.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
41.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
40.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
39.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
39.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
37.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
36.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
36.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
35.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
35.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
34.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
34.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
34.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
33.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
32.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
32.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
32.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
31.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
31.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
30.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
30.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
30.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
30.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
29.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
29.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
29.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
29.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
28.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
28.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
28.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
28.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
28.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
27.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
26.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
26.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
25.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
25.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
25.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
25.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
25.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
25.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
25.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
25.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
24.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
24.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
24.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
24.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
24.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
23.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
23.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
22.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
22.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
22.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
21.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
21.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
21.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
20.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
20.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
19.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
19.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
19.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
19.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
17.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
17.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
17.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
16.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
16.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
16.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
16.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
16.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
14.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
14.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
14.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
13.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
13.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
12.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
11.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
10.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
9.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
KIFC1 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
26.1
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
56.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
55.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
44.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
43.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
43.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
42.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
42.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
41.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
41.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
40.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
39.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
39.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
39.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
38.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
38.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
37.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
37.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
37.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
37.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
36.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
36.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
35.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
35.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
34.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
34.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
34.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
33.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
33.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
33.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
33.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
33.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
33.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
33.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
32.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
31.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
31.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
31.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
31.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
31.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
30.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
30.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
30.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
30.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
30.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
30.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
30.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
29.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
29.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
29.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
29.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
29.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
29.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
29.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
29.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
29.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
29.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
28.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
28.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
28.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
28.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
28.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
28.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
28.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
28.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
28.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
27.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
27.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
27.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
27.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
27.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
27.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
27.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
27.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
27.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
27.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
27.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
27.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
26.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
26.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
26.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
26.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
26.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
26.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
26.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
26.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
26.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
26.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
26.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
26.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
26.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
26.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
26.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
26.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
26.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
25.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
25.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
25.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
25.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
25.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
25.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
25.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
24.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
24.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
24.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
24.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
24.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
24.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
24.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
24.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
24.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
24.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
24.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
24.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
24.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
23.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
23.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
23.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
23.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
23.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
23.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
23.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
23.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
22.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
22.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
22.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
22.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
22.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
22.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
22.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
22.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
22.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
22.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
22.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
22.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
22.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
22.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
22.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
22.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
22.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
22.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
22.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
22.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
22.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
21.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
21.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
21.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
21.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
21.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
21.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
21.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
21.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
21.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
21.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
21.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
21.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
21.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
21.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
21.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
21.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
21.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
21.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
21.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
20.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
20.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
20.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
20.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
20.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
20.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
20.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
20.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
20.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
20.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
20.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
20.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
20.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
20.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
20.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
20.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
19.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
19.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
19.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
19.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
19.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
19.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
19.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
19.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
19.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
19.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
19.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
19.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
19.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
19.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
19.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
19.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
19.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
18.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
18.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
18.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
18.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
18.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
18.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
18.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
18.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
18.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
18.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
18.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
18.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
18.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
18.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
18.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
17.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
17.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
17.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
17.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
17.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
17.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
17.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
17.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
17.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
17.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
17.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
17.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
17.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
17.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
17.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
16.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
16.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
16.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
16.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
16.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
16.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
16.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
16.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
16.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
16.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
16.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
15.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
15.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
15.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
15.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
15.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
15.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
15.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
15.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
15.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
15.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
15.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
15.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
15.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
15.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
15.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
14.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
14.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
14.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
14.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
14.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
14.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
14.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
14.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
14.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
14.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
14.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
14.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
14.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
14.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
14.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
14.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
14.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
14.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
13.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
13.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
13.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
13.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
13.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
13.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
13.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
13.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
13.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
13.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
13.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
13.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
13.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
13.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
13.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
13.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
12.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
12.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
12.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
12.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
12.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
12.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
11.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
11.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
11.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
10.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
10.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
10.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
9.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
9.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
9.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
9.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
9.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
9.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
9.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
8.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
8.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
8.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
8.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
8.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
7.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
7.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
6.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KIFC1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
26.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
63.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
56.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
44.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
42.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
42.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
38.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
36.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
35.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
35.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
35.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
34.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
32.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
31.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
30.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
29.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
29.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
28.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
27.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
24.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
23.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
20.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
15.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
13.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
12.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
11.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
7.6
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.
KIFC1 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
23.4
Number of samples
207
Samples
Sample
Description
TPM
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
80.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
56.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
45.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
45.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
34.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
31.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
31.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
30.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
28.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
28.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
27.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
26.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
26.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
26.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
26.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
25.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
24.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
24.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
24.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
23.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
23.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
23.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
23.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
23.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
22.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
22.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
22.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
22.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
22.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
22.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
22.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
21.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
21.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
21.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
21.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
21.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
21.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
21.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
21.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
20.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
20.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
20.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
20.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
20.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
20.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
20.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
20.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
19.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
19.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
19.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
19.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
19.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
18.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
18.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
18.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
18.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
18.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
17.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
17.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
17.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
17.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
17.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
17.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
17.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
17.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
17.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
16.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
16.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
16.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
16.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
15.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
15.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
15.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
15.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
15.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
15.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
15.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
15.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
15.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
15.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
15.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
15.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
14.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
14.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
14.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
14.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
14.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
14.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
13.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
13.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
13.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
13.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
13.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
13.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
13.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
13.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
13.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
12.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
12.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
11.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
11.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
11.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
11.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
11.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
11.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
10.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
10.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
10.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
10.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
10.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
10.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
9.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
9.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
9.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
8.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
8.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
8.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
7.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
7.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
7.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
5.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
4.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
3.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
2.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
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Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
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Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
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Normal
0.2
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Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Normal
0.0
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Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
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Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
