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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDX1 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
61.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
125.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
121.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
120.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
115.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
103.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
102.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
100.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
98.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
98.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
96.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
95.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
95.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
94.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
93.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
90.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
90.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
88.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
87.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
87.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
87.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
85.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
84.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
83.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
83.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
83.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
83.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
82.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
80.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
80.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
79.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
79.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
79.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
78.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
77.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
77.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
77.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
76.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
76.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
75.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
74.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
74.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
74.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
74.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
74.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
73.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
73.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
73.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
72.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
72.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
71.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
71.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
71.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
71.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
70.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
70.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
70.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
70.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
70.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
69.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
69.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
69.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
69.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
68.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
67.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
67.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
67.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
67.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
67.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
67.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
66.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
66.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
65.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
65.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
65.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
65.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
65.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
65.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
65.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
64.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
64.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
64.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
64.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
64.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
63.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
62.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
62.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
62.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
62.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
62.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
62.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
62.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
61.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
60.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
60.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
60.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
60.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
60.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
60.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
59.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
59.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
59.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
59.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
59.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
58.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
58.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
58.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
57.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
57.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
57.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
57.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
57.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
57.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
57.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
57.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
57.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
56.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
56.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
56.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
56.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
55.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
55.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
55.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
55.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
54.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
54.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
54.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
54.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
54.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
53.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
53.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
53.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
53.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
53.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
52.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
52.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
52.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
51.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
51.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
51.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
51.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
51.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
51.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
51.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
49.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
49.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
48.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
48.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
47.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
47.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
46.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
46.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
46.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
45.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
44.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
43.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
42.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
41.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
40.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
40.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
38.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
38.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
38.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
37.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 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.
DDX1 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
39.4
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
90.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
83.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
70.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
69.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
67.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
64.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
61.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
60.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
59.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
59.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
58.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
58.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
56.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
55.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
55.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
54.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
54.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
51.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
51.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
50.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
50.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
50.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
50.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
49.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
49.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
48.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
47.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
46.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
46.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
45.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
44.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
44.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
44.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
44.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
44.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
43.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
43.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
42.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
42.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
42.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
42.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
42.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
42.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
39.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
39.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
39.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
39.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
38.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
38.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
38.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
38.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
38.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
37.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
36.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
36.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
36.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
34.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
34.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
34.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
34.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
33.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
33.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
33.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
33.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
33.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
32.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
32.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
31.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
31.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
30.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
30.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
30.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
30.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
29.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
29.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
28.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
28.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
28.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
27.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
27.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
27.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
27.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
27.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
27.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
26.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
26.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
26.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
26.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
26.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
25.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
24.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
24.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
24.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
24.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
23.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
23.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
23.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
23.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
23.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
22.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
22.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
20.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
20.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
20.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
20.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
20.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
19.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
18.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
17.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
17.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
16.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
13.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
12.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
10.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DDX1 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
63.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
106.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
102.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
100.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
99.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
97.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
90.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
87.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
87.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
85.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
84.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
83.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
82.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
81.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
80.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
79.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
78.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
75.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
74.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
74.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
74.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
74.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
70.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
70.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
70.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
70.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
69.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
68.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
68.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
67.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
67.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
66.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
66.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
66.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
66.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
65.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
65.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
63.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
62.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
62.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
60.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
59.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
57.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
57.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
57.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
57.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
54.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
54.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
52.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
52.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
49.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
48.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
48.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
47.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
46.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
46.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
45.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
45.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
40.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.8
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.
DDX1 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
36.1
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
77.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
74.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
60.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
58.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
57.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
56.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
53.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
52.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
47.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
45.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
41.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
41.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
39.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
39.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
38.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
38.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
38.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
37.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
36.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
36.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
35.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
32.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
31.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
30.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
29.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
29.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
28.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
26.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
25.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
25.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
24.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
24.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
23.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
22.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
22.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
21.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
20.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
19.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
19.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
16.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
16.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
15.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
7.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
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Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
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Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
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Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
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Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
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Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Normal
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Tumor
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Tumor
-0.1
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
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
