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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.
CDA is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
21.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
213.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
181.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
157.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
149.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
123.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
122.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
109.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
106.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
84.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
78.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
66.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
62.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
57.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
55.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
51.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
47.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
47.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
45.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
44.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
40.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
40.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
39.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
39.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
37.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
37.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
36.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
36.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
35.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
35.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
35.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
33.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
31.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
28.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
26.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
25.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
25.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
24.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
23.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
22.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
22.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
22.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
21.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
20.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
19.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
17.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
17.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
17.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
17.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
16.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
16.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
15.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
14.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
14.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
14.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
12.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
11.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
11.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
11.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
11.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
10.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
10.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
10.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
9.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
9.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
9.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
8.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
8.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
8.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
8.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
8.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
8.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
7.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
7.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
7.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
6.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
6.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
6.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
6.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
6.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
5.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
5.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
5.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
5.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
5.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
5.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
4.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
4.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
4.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
4.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
4.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
3.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
3.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
3.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
3.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
2.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
CDA 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
16.7
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
225.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
168.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
157.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
105.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
92.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
85.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
85.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
83.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
82.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
81.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
76.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
75.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
74.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
72.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
62.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
59.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
47.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
43.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
42.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
40.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
40.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
40.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
35.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
32.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
31.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
29.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
28.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
28.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
27.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
27.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
27.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
27.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
27.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
26.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
25.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
25.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
25.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
24.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
24.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
24.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
23.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
23.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
23.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
23.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
23.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
22.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
22.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
22.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
22.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
22.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
22.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
22.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
22.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
22.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
21.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
21.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
21.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
21.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
21.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
21.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
21.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
21.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
21.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
21.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
20.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
20.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
20.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
20.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
20.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
19.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
19.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
19.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
19.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
19.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
18.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
18.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
18.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
18.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
18.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
18.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
18.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
18.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
18.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
17.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
17.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
17.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
17.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
17.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
17.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
17.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
17.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
16.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
16.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
16.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
16.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
16.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
16.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
16.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
15.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
15.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
15.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
15.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
15.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
15.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
15.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
15.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
15.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
15.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
15.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
15.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
15.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
15.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
15.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
15.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
14.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
14.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
14.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
14.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
14.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
14.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
14.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
14.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
14.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
13.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
13.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
13.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
13.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
13.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
13.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
13.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
13.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
13.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
13.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
13.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
13.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
13.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
13.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
12.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
12.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
12.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
12.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
12.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
12.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
12.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
12.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
12.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
12.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
12.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
12.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
12.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
12.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
12.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
12.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
12.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
11.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
11.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
11.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
11.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
11.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
11.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
11.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
11.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
11.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
11.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
11.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
11.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
11.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
11.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
11.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
11.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
11.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
11.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
11.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
11.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
11.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
11.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
11.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
11.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
11.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
11.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
11.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
11.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
11.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
11.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
11.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
10.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
10.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
10.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
10.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
10.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
10.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
10.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
10.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
10.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
10.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
10.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
10.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
10.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
9.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
9.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
9.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
9.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
9.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
9.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
9.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
9.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
9.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
9.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
9.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
9.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
9.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
9.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
9.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
9.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
9.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
9.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
9.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
9.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
9.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
9.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
9.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
9.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
8.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
8.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
8.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
8.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
8.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
8.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
8.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
8.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
8.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
8.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
8.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
8.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
8.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
8.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
8.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
8.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
8.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
8.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
7.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
7.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
7.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
7.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
7.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
7.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
7.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
7.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
7.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
7.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
7.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
7.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
7.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
7.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
7.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
7.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
7.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
7.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
7.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
7.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
7.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
7.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
7.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
6.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
6.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
6.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
6.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
6.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
6.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
6.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
6.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
6.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
6.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
6.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
6.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
6.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
6.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
6.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
6.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
6.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
6.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
6.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
6.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
5.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
5.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
5.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
5.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
5.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
5.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
5.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
5.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
5.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
5.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
5.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
5.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
5.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
5.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
5.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
5.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
5.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
5.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
5.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
5.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
5.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
5.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
4.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
4.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
4.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
4.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
4.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
4.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
4.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
4.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
4.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
4.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
4.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
4.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
4.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
4.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
4.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
4.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
4.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
4.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
4.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
4.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
4.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
4.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
4.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
3.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
3.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
3.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
3.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
3.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
3.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
3.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
3.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
3.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
3.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
3.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
3.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
3.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
3.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
3.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
3.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
3.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
3.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
3.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
3.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
3.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
3.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
3.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
3.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
3.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
3.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
3.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
3.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
3.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
2.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
2.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
2.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
2.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
2.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
2.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
2.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
2.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
2.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
2.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
2.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
2.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
2.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
2.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
2.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
2.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
2.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
2.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
2.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
2.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
2.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
2.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
2.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
2.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
1.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
0.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
0.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
0.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
0.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
0.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 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.
CDA is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
26.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
161.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
96.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
89.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
89.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
88.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
59.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
59.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
57.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
56.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
51.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
47.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
45.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
44.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
42.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
39.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
36.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
35.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
33.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
26.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
25.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
25.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
24.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
19.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
12.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
10.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
5.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
5.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
4.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
4.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
3.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 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.
CDA 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
14.7
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
102.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
84.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
32.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
32.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
32.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
30.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
27.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
26.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
25.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
23.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
23.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
23.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
22.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
21.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
21.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
20.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
20.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
20.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
18.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
18.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
18.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
17.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
17.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
17.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
17.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
16.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
16.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
16.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
15.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
14.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
14.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
14.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
14.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
14.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
14.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
13.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
13.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
13.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
13.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
13.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
13.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
13.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
13.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
13.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
13.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
13.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
12.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
12.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
12.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
12.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
12.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
11.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
11.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
11.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
11.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
10.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
10.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
10.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
10.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
10.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
10.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
10.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
10.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
10.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
10.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
10.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
10.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
10.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
9.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
9.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
9.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
9.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
9.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
9.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
9.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
9.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
9.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
9.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
8.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
8.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
8.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
8.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
8.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
8.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
8.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
8.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
8.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
8.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
8.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
8.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
8.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
8.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
8.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
8.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
7.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
7.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
7.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
7.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
7.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
7.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
7.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
7.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
7.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
6.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
6.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
6.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
6.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
6.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
6.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
5.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
5.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
5.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
5.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
5.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
5.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
5.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
5.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
4.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
4.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
4.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
4.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
4.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
4.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
4.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
4.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
4.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
4.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
3.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
3.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
3.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
3.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
3.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
3.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
3.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
3.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
3.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
3.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
2.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
2.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
2.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
2.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
2.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
2.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
2.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
2.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
2.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
2.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
2.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
2.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
2.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
2.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
2.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
0.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.9
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.6
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.