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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.
CNN1 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
48.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1034.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
868.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
439.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
334.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
325.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
293.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
287.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
285.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
254.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
245.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
231.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
220.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
214.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
206.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
191.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
182.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
180.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
176.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
160.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
156.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
152.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
148.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
147.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
121.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
121.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
113.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
107.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
103.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
97.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
97.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
94.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
89.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
89.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
88.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
87.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
84.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
84.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
77.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
75.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
71.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
69.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
68.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
68.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
66.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
66.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
66.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
60.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
54.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
48.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
47.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
46.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
45.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
41.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
40.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
40.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
39.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
35.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
34.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
34.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
31.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
31.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
30.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
29.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
28.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
23.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
18.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
18.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
17.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
16.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
15.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
14.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
12.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
12.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
12.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
11.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
10.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
10.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
9.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
8.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
8.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
7.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
7.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
7.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
7.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
6.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
6.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
6.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
5.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
5.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
5.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
4.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
3.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
CNN1 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
40.8
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
671.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
328.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
303.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
302.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
297.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
276.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
266.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
260.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
235.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
227.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
222.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
221.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
209.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
208.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
200.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
183.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
178.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
166.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
166.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
163.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
156.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
152.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
148.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
144.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
142.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
138.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
138.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
136.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
135.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
133.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
132.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
127.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
126.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
124.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
123.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
122.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
122.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
120.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
111.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
111.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
111.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
111.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
110.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
108.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
105.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
103.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
102.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
101.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
100.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
97.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
97.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
96.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
93.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
85.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
84.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
84.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
84.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
81.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
81.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
79.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
78.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
78.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
77.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
77.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
75.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
75.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
72.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
72.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
69.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
67.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
62.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
59.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
56.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
54.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
54.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
54.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
48.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
46.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
46.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
44.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
43.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
40.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
39.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
36.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
34.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
33.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
32.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
32.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
32.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
31.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
29.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
29.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
29.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
29.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
28.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
28.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
28.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
28.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
27.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
27.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
26.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
25.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
25.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
25.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
24.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
24.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
24.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
24.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
24.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
23.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
23.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
22.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
22.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
22.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
22.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
22.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
22.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
22.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
22.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
21.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
21.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
21.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
21.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
21.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
21.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
21.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
21.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
21.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
21.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
21.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
21.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
21.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
20.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
20.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
20.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
20.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
20.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
20.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
20.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
19.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
19.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
19.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
19.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
19.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
19.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
19.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
19.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
19.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
19.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
18.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
18.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
18.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
18.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
18.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
18.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
18.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
18.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
18.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
18.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
17.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
17.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
17.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
17.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
17.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
17.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
17.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
17.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
17.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
17.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
17.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
17.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
17.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
17.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
16.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
16.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
16.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
16.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
16.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
16.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
16.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
16.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
16.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
16.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
16.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
16.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
15.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
15.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
15.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
15.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
15.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
15.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
15.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
15.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
15.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
15.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
14.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
14.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
14.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
14.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
14.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
14.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
14.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
14.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
14.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
13.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
13.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
13.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
13.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
13.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
13.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
13.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
13.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
13.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
13.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
13.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
13.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
13.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
13.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
13.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
13.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
13.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
12.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
12.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
12.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
12.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
12.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
12.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
12.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
12.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
12.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
11.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
11.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
11.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
11.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
11.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
11.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
11.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
11.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
11.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
11.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
11.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
11.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
11.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
11.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
11.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
10.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
10.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
10.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
10.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
10.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
10.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
10.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
10.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
10.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
9.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
9.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
9.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
9.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
9.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
9.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
9.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
9.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
8.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
8.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
8.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
8.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
8.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
8.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
8.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
8.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
8.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
8.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
8.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
8.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
8.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
8.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
8.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
8.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
8.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
7.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
7.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
7.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
7.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
7.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
7.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
7.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
7.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
7.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
7.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
7.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
7.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
7.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
7.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
7.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
6.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
6.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
6.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
6.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
6.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
6.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
6.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
6.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
6.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
6.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
6.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
6.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
6.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
6.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
6.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
6.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
6.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
6.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
5.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
5.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
5.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
5.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
5.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
5.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
5.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
5.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
5.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
5.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
5.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
5.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
5.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
4.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
4.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
4.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
4.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
4.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
4.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
4.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
4.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
4.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
4.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
4.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
3.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
3.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
3.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
3.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
3.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
3.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
3.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
3.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
3.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
3.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
3.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
3.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
3.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
3.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
2.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
2.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
2.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
2.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
2.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
2.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1.2
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.
CNN1 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
55.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
473.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
441.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
332.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
283.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
261.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
230.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
210.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
158.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
158.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
143.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
142.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
134.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
126.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
119.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
113.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
91.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
65.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
56.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
41.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
41.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
32.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
30.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
29.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
27.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
22.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
20.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
20.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
20.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
19.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
18.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
17.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
13.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
13.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
7.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
7.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
6.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
6.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
5.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
4.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
4.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
4.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
3.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
CNN1 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
55.3
Number of samples
207
Samples
Sample
Description
TPM
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
774.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
574.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
569.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
526.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
432.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
392.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
381.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
266.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
265.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
236.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
234.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
217.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
202.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
185.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
179.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
167.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
163.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
157.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
147.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
147.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
145.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
130.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
130.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
127.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
120.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
120.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
119.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
118.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
115.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
110.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
107.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
101.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
98.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
90.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
82.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
82.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
75.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
74.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
69.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
60.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
42.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
42.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
40.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
31.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
29.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
28.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
26.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
25.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
25.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
25.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
24.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
24.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
23.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
23.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
22.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
22.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
22.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
22.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
22.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
21.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
21.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
21.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
20.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
20.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
19.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
19.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
19.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
19.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
18.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
18.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
18.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
17.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
17.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
16.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
16.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
16.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
15.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
15.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
15.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
15.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
15.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
14.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
14.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
14.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
13.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
13.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
13.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
13.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
13.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
13.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
13.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
12.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
12.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
12.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
12.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
12.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
12.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
12.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
11.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
11.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
11.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
11.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
11.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
10.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
10.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
10.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
10.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
10.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
10.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
10.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
9.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
9.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
8.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
8.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
8.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
8.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
8.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
8.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
8.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
8.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
8.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
8.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
7.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
7.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
7.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
7.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
7.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
7.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
7.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
6.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
6.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
6.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
6.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
6.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
6.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
6.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
6.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
6.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
6.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
5.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
5.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
5.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
5.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
4.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
4.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
4.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
4.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
4.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
4.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
4.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
3.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
3.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
2.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
2.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
2.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
2.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
2.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
2.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
2.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
2.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
2.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
2.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
2.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.1
41a04113-2061-4923-bca5-da586c_D2
Normal
1.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.0
1c070992-647b-4173-a481-904c4d_D2
Normal
1.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
1.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
1.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.9
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.9
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-1.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-1.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-2.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-2.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-2.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-2.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-2.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-2.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-2.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-2.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-2.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-2.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-2.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-2.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-2.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-2.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-2.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-2.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-2.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-2.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-2.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-2.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-2.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-2.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-2.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-2.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-2.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-2.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-2.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-2.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-2.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-2.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-2.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-2.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-3.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
