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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.
MKI67 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
21.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
58.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
50.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
47.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
42.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
42.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
41.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
37.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
36.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
35.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
35.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
35.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
33.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
33.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
33.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
32.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
31.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
31.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
31.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
31.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
31.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
30.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
28.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
28.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
27.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
27.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
27.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
26.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
26.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
26.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
26.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
24.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
24.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
24.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
24.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
24.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
24.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
23.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
22.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
22.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
21.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
20.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
20.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
19.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
19.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
17.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
16.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
16.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
16.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
16.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
15.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
15.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
15.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
14.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
13.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
13.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
12.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
11.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
11.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
10.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
9.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
9.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
7.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
7.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
5.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
MKI67 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
58.8
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
157.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
151.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
149.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
145.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
143.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
140.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
135.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
126.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
121.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
117.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
117.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
117.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
117.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
116.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
114.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
113.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
112.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
111.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
111.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
109.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
108.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
108.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
108.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
107.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
107.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
105.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
104.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
104.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
103.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
103.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
103.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
103.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
103.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
103.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
103.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
102.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
102.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
101.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
101.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
100.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
100.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
99.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
97.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
97.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
97.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
96.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
96.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
95.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
93.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
93.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
93.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
92.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
91.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
91.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
91.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
91.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
90.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
90.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
90.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
88.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
88.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
88.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
88.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
86.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
85.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
85.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
85.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
84.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
84.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
84.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
84.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
84.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
84.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
83.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
83.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
83.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
82.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
82.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
82.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
81.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
81.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
81.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
80.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
79.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
79.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
79.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
78.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
78.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
78.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
78.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
77.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
77.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
76.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
76.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
76.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
76.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
75.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
75.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
75.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
75.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
74.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
74.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
74.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
74.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
73.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
72.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
72.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
72.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
71.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
71.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
71.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
71.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
70.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
70.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
70.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
70.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
70.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
70.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
70.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
69.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
67.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
66.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
66.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
65.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
63.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
62.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
62.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
62.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
62.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
62.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
62.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
61.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
61.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
60.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
60.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
60.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
59.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
59.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
59.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
57.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
57.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
57.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
57.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
57.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
57.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
57.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
56.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
56.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
56.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
56.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
54.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
54.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
54.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
54.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
54.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
53.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
53.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
53.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
52.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
51.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
51.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
49.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
49.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
48.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
45.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
45.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
44.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
44.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
42.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
42.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
37.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
36.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
33.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
33.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
33.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
32.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
32.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
29.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
26.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
26.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
26.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
25.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
25.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
24.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
24.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
23.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
23.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
23.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
22.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
21.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
20.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
20.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
19.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
17.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
17.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
17.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
16.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
15.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
10.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.8
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.
MKI67 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
20.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
62.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
61.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
58.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
42.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
34.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
33.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
31.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
28.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
24.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
24.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
22.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
21.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
20.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
20.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
19.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
18.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
16.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
15.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
15.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
14.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
11.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
10.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
9.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
7.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
6.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 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.
MKI67 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
48.8
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
129.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
121.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
121.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
119.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
118.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
116.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
112.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
103.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
101.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
101.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
95.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
91.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
89.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
88.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
86.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
85.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
81.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
81.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
80.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
80.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
80.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
79.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
77.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
77.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
76.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
75.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
72.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
72.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
71.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
70.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
70.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
69.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
69.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
68.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
68.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
66.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
64.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
63.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
63.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
61.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
61.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
60.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
60.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
59.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
55.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
54.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
54.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
52.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
50.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
49.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
47.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
46.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
37.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
35.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
33.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
31.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
28.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
28.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
26.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
25.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
24.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
24.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
23.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
22.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
22.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
22.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
21.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
21.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
21.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
21.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
20.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
18.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
18.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
17.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
16.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
16.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
14.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
13.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
12.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
12.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
11.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
9.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
9.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
5.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
4.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.2
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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
1.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
1.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
1.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.8
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-1.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-1.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-1.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.5
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
