We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
DCTD 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
57.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
115.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
101.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
100.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
91.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
89.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
88.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
85.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
85.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
85.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
85.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
84.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
83.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
83.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
81.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
81.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
79.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
77.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
77.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
75.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
75.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
74.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
73.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
73.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
72.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
72.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
72.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
72.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
71.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
70.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
69.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
69.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
69.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
69.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
68.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
68.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
68.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
68.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
68.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
68.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
67.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
67.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
67.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
67.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
66.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
66.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
65.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
65.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
65.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
64.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
64.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
64.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
64.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
64.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
64.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
64.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
64.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
63.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
63.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
63.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
63.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
63.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
63.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
63.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
62.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
62.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
62.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
62.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
62.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
61.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
61.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
61.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
61.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
61.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
61.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
60.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
60.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
59.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
59.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
58.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
58.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
58.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
57.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
57.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
57.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
56.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
56.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
55.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
55.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
55.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
54.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
54.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
54.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
54.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
53.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
53.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
53.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
52.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
52.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
52.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
52.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
52.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
52.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
51.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
51.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
51.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
50.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
50.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
49.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
49.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
49.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
49.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
49.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
49.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
49.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
48.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
48.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
48.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
48.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
48.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
47.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
47.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
46.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
46.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
46.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
46.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
46.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
45.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
45.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
45.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
45.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
44.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
44.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
44.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
43.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
42.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
42.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
41.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
39.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
37.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
36.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
35.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
33.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
32.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
32.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
23.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 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.
DCTD 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
44.5
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
89.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
88.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
82.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
74.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
72.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
71.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
69.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
66.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
66.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
66.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
65.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
65.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
65.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
63.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
63.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
63.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
62.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
62.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
60.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
60.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
59.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
59.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
59.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
58.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
57.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
56.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
56.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
55.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
55.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
55.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
54.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
53.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
53.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
53.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
52.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
52.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
52.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
52.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
52.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
52.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
51.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
51.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
51.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
51.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
51.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
51.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
51.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
50.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
49.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
49.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
49.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
48.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
48.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
47.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
47.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
47.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
47.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
46.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
46.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
45.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
45.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
44.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
44.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
44.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
44.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
43.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
43.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
43.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
43.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
42.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
41.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
41.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
40.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
40.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
40.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
39.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
38.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
37.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
36.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
36.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
34.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
34.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
34.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
34.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
34.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
33.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
33.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
32.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
32.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
32.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
31.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
31.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
29.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
29.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
28.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
28.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
28.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
27.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
27.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
26.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
25.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
25.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
24.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
23.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
23.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
22.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
20.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
20.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
18.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
16.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
13.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
DCTD 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
56.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
110.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
90.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
87.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
87.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
84.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
82.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
81.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
79.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
78.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
76.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
73.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
71.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
71.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
69.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
68.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
67.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
66.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
66.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
66.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
66.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
65.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
65.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
64.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
64.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
63.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
63.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
62.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
62.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
62.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
61.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
61.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
60.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
60.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
59.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
59.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
59.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
58.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
58.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
58.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
57.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
57.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
56.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
52.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
51.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
49.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
49.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
48.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
47.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
46.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
45.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
44.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
44.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
42.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
42.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
42.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
42.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
37.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
37.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
34.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
13.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
DCTD 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
40.3
Number of samples
207
Samples
Sample
Description
TPM
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
88.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
70.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
67.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
66.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
62.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
60.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
58.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
57.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
57.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
53.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
50.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
50.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
49.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
48.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
48.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
47.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
42.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
42.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
39.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
38.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
37.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
35.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
34.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
32.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
29.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
24.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
18.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
18.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
16.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
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
