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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.
CEMIP 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
29.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
131.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
118.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
111.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
106.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
94.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
88.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
86.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
85.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
85.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
84.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
82.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
78.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
74.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
73.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
73.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
72.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
71.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
67.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
66.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
66.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
63.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
60.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
60.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
58.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
57.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
57.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
53.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
52.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
52.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
51.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
51.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
50.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
45.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
44.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
43.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
42.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
42.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
41.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
40.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
40.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
39.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
38.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
38.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
34.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
33.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
33.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
33.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
30.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
28.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
28.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
28.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
27.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
27.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
25.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
25.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
24.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
24.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
23.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
23.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
22.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
21.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
21.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
20.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
20.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
19.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
19.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
19.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
18.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
18.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
17.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
16.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
16.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
15.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
15.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
13.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
12.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
12.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
12.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
12.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
11.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
11.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
10.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
10.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
10.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
10.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
9.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
8.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
8.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
8.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
7.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
5.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
5.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
5.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
5.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
4.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
3.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
CEMIP 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
42.8
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
352.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
225.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
222.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
171.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
158.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
142.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
139.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
139.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
130.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
129.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
128.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
123.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
122.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
114.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
114.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
114.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
114.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
114.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
113.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
108.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
106.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
105.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
105.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
105.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
104.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
103.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
102.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
100.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
99.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
99.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
98.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
98.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
97.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
96.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
94.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
93.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
93.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
89.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
89.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
88.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
88.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
87.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
86.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
86.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
86.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
86.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
85.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
85.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
84.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
82.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
82.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
82.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
81.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
80.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
79.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
79.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
79.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
78.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
77.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
77.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
76.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
76.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
75.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
74.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
73.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
72.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
72.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
71.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
70.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
70.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
68.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
68.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
67.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
66.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
66.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
66.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
65.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
64.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
63.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
62.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
61.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
61.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
61.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
60.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
58.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
58.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
58.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
57.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
57.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
54.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
53.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
52.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
49.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
48.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
48.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
47.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
44.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
43.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
37.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
36.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
36.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
34.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
34.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
33.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
33.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
32.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
30.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
30.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
29.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
29.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
29.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
29.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
28.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
28.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
28.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
27.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
27.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
27.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
27.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
27.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
26.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
26.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
26.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
26.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
26.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
26.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
25.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
25.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
25.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
25.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
24.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
24.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
24.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
24.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
24.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
24.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
23.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
23.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
23.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
23.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
23.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
23.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
23.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
23.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
23.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
23.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
23.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
22.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
22.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
22.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
22.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
22.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
22.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
22.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
21.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
21.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
21.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
21.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
21.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
21.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
21.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
20.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
20.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
20.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
20.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
20.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
19.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
19.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
19.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
19.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
19.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
19.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
18.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
18.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
18.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
18.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
18.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
18.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
18.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
18.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
18.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
18.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
18.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
18.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
18.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
17.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
17.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
17.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
17.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
17.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
17.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
17.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
17.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
17.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
17.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
16.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
16.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
16.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
16.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
16.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
16.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
15.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
15.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
15.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
15.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
14.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
14.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
14.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
13.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
13.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
13.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
13.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
13.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
13.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
12.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
12.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
12.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
12.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
12.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
12.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
12.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
12.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
11.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
11.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
11.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
11.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
11.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
11.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
11.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
11.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
11.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
10.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
10.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
10.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
10.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
10.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
10.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
10.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
9.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
9.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
9.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
8.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
8.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
8.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
8.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
8.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
7.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
7.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
7.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
7.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
7.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
7.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
6.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
6.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
5.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
5.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
5.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
5.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
5.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
4.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
4.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
4.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
4.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
2.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
2.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
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.
CEMIP 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
28.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
97.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
89.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
87.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
76.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
76.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
75.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
62.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
56.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
49.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
46.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
43.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
39.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
31.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
28.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
25.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
19.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
16.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
15.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
14.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
12.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
11.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
7.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
7.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
6.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
6.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
5.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
5.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
5.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
3.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.6
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.
CEMIP 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
39.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
307.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
154.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
143.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
113.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
112.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
110.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
108.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
100.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
99.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
97.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
97.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
97.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
94.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
91.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
88.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
84.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
81.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
79.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
78.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
75.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
75.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
73.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
72.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
70.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
63.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
60.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
58.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
55.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
55.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
53.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
50.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
46.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
43.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
40.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
39.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
38.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
37.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
34.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
27.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
26.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
26.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
25.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
25.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
25.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
25.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
24.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
23.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
23.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
23.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
23.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
22.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
22.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
22.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
22.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
21.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
21.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
20.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
20.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
20.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
20.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
20.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
19.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
18.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
18.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
17.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
17.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
17.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
17.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
17.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
16.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
16.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
16.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
16.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
16.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
16.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
16.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
16.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
16.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
15.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
14.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
14.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
14.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
14.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
14.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
14.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
13.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
13.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
13.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
13.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
13.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
12.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
12.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
12.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
12.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
11.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
11.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
11.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
9.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
9.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
8.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
6.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
5.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
5.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
4.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
2.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
2.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
1.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.9
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
