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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.
CRYZ 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
22.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
123.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
70.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
63.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
57.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
53.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
49.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
45.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
45.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
44.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
43.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
42.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
40.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
40.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
39.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
39.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
38.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
37.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
36.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
36.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
35.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
34.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
34.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
33.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
33.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
33.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
32.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
32.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
30.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
28.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
28.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
28.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
27.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
27.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
26.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
26.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
25.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
25.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
25.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
25.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
24.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
24.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
23.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
23.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
23.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
22.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
21.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
21.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
20.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
20.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
20.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
20.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
20.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
19.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
19.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
19.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
19.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
18.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
18.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
17.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
17.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
17.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
16.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
15.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
15.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
15.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
15.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
14.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
14.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
13.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
13.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
13.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
13.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
13.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
12.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
12.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
9.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
7.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
7.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
6.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
5.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
5.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
3.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
3.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 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.
CRYZ 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
20.3
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
62.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
55.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
51.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
50.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
49.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
44.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
41.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
38.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
37.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
37.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
36.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
35.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
34.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
32.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
32.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
31.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
31.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
31.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
31.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
30.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
30.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
30.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
29.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
29.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
29.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
29.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
29.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
29.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
29.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
29.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
28.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
28.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
28.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
28.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
27.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
27.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
27.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
27.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
27.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
27.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
27.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
27.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
27.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
27.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
26.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
26.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
26.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
26.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
26.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
26.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
26.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
26.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
25.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
25.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
25.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
25.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
25.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
25.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
25.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
25.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
25.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
25.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
24.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
24.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
24.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
24.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
24.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
24.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
24.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
24.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
24.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
24.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
24.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
23.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
23.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
23.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
23.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
23.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
23.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
23.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
23.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
23.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
23.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
22.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
22.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
22.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
22.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
22.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
22.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
22.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
22.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
22.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
22.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
22.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
22.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
22.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
22.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
22.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
22.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
22.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
22.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
21.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
21.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
21.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
21.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
21.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
21.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
21.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
21.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
21.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
21.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
21.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
21.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
21.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
21.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
21.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
21.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
21.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
21.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
21.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
21.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
20.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
20.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
20.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
20.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
20.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
20.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
20.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
20.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
20.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
20.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
20.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
20.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
19.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
19.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
19.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
19.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
19.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
19.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
19.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
19.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
19.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
19.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
19.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
19.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
19.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
19.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
19.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
19.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
19.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
19.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
18.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
18.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
18.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
18.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
18.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
18.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
18.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
18.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
18.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
18.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
18.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
18.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
18.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
18.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
18.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
18.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
18.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
18.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
18.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
18.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
17.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
17.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
17.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
17.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
17.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
17.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
17.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
17.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
17.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
17.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
17.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
17.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
17.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
17.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
17.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
17.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
17.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
17.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
16.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
16.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
16.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
16.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
16.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
16.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
16.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
16.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
16.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
16.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
16.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
16.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
16.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
16.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
16.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
16.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
15.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
15.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
15.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
15.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
15.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
15.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
15.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
15.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
15.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
15.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
15.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
15.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
15.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
15.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
14.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
14.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
14.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
14.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
14.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
14.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
14.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
14.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
14.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
14.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
14.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
14.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
14.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
14.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
14.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
14.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
14.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
14.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
14.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
13.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
13.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
13.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
13.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
13.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
13.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
13.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
13.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
13.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
13.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
13.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
13.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
13.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
13.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
13.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
13.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
12.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
12.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
12.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
12.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
12.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
12.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
12.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
12.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
12.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
12.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
12.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
12.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
12.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
12.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
12.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
12.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
12.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
12.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
12.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
12.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
12.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
11.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
11.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
11.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
11.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
11.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
11.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
11.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
11.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
11.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
11.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
11.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
11.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
11.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
11.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
11.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
11.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
11.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
11.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
11.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
11.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
11.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
11.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
10.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
10.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
10.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
10.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
10.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
10.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
10.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
10.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
10.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
10.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
10.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
10.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
10.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
10.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
9.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
9.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
9.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
9.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
9.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
9.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
9.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
9.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
9.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
9.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
9.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
8.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
8.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
8.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
8.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
8.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
8.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
8.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
8.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
8.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
8.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
8.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
8.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
8.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
7.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
7.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
7.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
7.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
7.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
7.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
7.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
7.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
7.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
6.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
6.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
6.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
6.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
6.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
6.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
6.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
6.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
6.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
6.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
6.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
5.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
5.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
5.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
5.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
5.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
5.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
5.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
5.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
5.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
5.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
5.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
4.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
4.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
4.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
4.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
3.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
2.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
2.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
2.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
2.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
1.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CRYZ 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
21.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
66.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
45.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
42.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
41.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
39.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
33.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
33.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
31.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
30.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
28.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
27.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
27.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
26.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
24.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
22.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
19.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
17.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
15.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
13.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
11.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
8.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
8.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
7.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
3.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 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.
CRYZ 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
17.4
Number of samples
207
Samples
Sample
Description
TPM
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
46.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
42.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
32.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
32.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
29.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
28.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
28.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
27.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
27.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
27.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
26.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
26.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
26.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
26.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
25.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
25.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
25.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
25.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
24.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
24.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
24.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
24.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
23.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
23.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
23.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
22.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
22.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
22.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
21.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
21.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
21.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
21.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
21.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
21.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
21.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
20.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
20.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
20.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
20.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
20.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
20.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
20.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
20.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
19.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
19.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
19.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
19.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
19.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
19.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
19.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
19.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
19.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
18.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
18.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
18.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
18.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
18.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
17.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
17.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
17.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
17.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
17.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
17.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
17.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
17.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
17.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
16.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
16.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
16.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
16.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
16.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
16.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
16.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
16.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
16.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
15.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
15.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
15.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
15.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
15.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
15.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
15.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
14.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
14.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
14.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
14.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
14.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
14.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
14.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
13.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
13.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
13.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
13.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
13.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
13.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
13.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
13.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
13.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
13.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
12.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
12.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
12.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
12.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
12.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
12.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
12.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
12.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
12.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
11.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
11.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
11.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
11.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
11.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
11.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
11.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
11.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
11.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
11.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
11.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
11.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
11.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
11.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
11.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
10.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
10.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
10.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
10.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
10.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
10.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
10.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
10.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
10.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
10.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
10.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
9.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
9.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
9.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
9.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
9.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
9.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
9.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
9.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
9.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
9.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
9.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
8.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
8.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
8.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
8.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
8.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
8.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
8.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
8.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
7.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
7.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
7.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
7.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
7.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
7.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
6.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
6.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
6.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
6.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
6.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
6.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
6.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
5.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
5.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
4.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
4.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
3.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
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Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
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Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
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Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
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Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
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Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
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Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Normal
-0.6
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Tumor
-0.6
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Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.7
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Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
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Tumor
-1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
