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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.
MCM4 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
46.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
126.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
124.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
120.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
119.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
118.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
118.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
115.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
115.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
115.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
112.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
108.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
106.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
104.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
99.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
94.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
91.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
86.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
85.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
83.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
83.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
82.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
81.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
80.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
79.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
76.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
76.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
76.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
75.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
74.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
74.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
74.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
72.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
72.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
69.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
68.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
66.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
65.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
65.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
65.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
64.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
64.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
63.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
63.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
62.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
62.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
62.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
62.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
61.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
60.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
59.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
59.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
58.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
57.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
57.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
57.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
57.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
56.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
56.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
56.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
55.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
54.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
54.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
54.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
52.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
51.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
50.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
50.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
50.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
50.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
49.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
48.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
47.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
47.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
47.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
47.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
46.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
45.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
45.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
45.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
44.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
44.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
43.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
43.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
41.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
41.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
40.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
40.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
39.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
38.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
38.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
35.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
31.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
31.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
31.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
29.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
28.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
27.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
27.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
27.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
26.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
26.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
26.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
25.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
23.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
23.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
22.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
20.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
18.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
17.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
12.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
MCM4 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
55.5
Number of samples
486
Samples
Sample
Description
TPM
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
200.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
174.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
169.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
159.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
156.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
149.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
144.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
138.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
137.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
136.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
129.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
126.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
123.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
121.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
120.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
119.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
117.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
117.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
116.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
113.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
111.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
110.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
108.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
108.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
107.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
107.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
105.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
104.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
103.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
102.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
101.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
101.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
100.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
100.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
100.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
98.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
98.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
98.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
97.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
97.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
97.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
96.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
96.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
94.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
93.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
93.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
91.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
90.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
88.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
88.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
88.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
87.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
86.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
86.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
86.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
84.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
84.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
84.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
83.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
82.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
82.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
82.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
81.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
81.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
81.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
80.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
80.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
80.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
80.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
80.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
80.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
80.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
79.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
78.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
77.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
77.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
77.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
77.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
76.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
76.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
75.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
74.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
73.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
73.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
73.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
72.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
72.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
72.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
72.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
71.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
71.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
71.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
70.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
69.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
69.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
69.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
67.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
67.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
66.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
66.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
66.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
66.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
65.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
65.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
65.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
64.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
63.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
63.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
63.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
63.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
63.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
63.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
63.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
62.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
62.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
61.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
60.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
60.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
59.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
59.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
58.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
58.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
57.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
57.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
56.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
55.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
54.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
54.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
53.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
53.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
52.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
52.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
51.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
51.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
51.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
50.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
50.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
50.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
49.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
47.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
46.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
46.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
46.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
43.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
43.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
42.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
42.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
42.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
41.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
41.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
40.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
40.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
40.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
39.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
39.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
37.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
36.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
36.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
35.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
35.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
35.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
34.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
33.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
32.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
32.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
31.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
31.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
30.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
30.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
30.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
29.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
29.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
28.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
28.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
28.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
27.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
27.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
26.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
26.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
26.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
26.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
26.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
24.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
24.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
24.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
23.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
23.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
22.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
22.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
21.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
21.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
21.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
21.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
21.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
20.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
20.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
20.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
19.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
19.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
18.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
18.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
18.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
15.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MCM4 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
41.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
130.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
83.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
80.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
79.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
76.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
74.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
67.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
66.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
64.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
59.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
58.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
58.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
57.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
55.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
53.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
53.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
50.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
48.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
46.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
46.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
43.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
41.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
41.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
41.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
40.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
36.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
34.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
33.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
29.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
29.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
29.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
22.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
21.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
20.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
20.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
18.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
16.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
15.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
MCM4 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
44.8
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
148.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
120.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
105.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
98.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
95.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
93.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
88.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
86.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
85.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
84.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
82.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
81.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
78.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
77.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
77.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
74.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
73.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
73.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
71.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
71.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
70.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
70.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
69.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
67.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
65.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
65.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
65.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
64.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
63.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
63.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
62.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
62.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
61.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
59.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
56.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
54.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
53.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
48.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
46.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
45.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
44.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
42.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
40.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
40.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
38.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
37.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
36.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
30.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
28.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
26.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
23.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
23.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
23.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
23.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
22.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
21.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
21.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
20.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
20.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
18.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
17.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
16.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
16.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
14.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
14.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
13.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
12.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
9.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
7.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.8
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.3
2666323d-522f-4f0a-823c-ff8866_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
