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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.
VKORC1 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
80.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
165.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
163.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
154.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
145.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
140.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
140.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
139.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
139.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
138.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
136.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
131.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
124.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
122.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
121.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
120.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
120.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
120.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
119.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
118.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
118.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
117.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
117.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
115.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
114.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
114.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
111.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
111.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
111.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
111.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
111.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
110.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
110.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
109.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
109.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
108.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
106.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
106.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
106.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
105.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
104.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
104.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
103.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
103.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
102.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
102.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
101.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
101.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
100.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
100.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
100.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
100.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
100.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
99.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
99.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
99.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
98.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
98.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
97.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
97.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
96.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
96.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
96.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
95.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
95.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
95.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
94.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
94.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
94.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
94.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
93.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
93.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
92.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
92.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
92.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
91.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
91.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
90.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
89.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
89.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
89.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
88.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
87.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
87.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
86.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
86.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
86.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
86.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
86.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
86.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
86.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
85.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
85.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
84.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
84.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
84.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
84.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
84.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
84.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
84.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
84.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
84.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
83.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
83.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
83.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
83.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
83.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
83.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
83.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
83.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
82.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
82.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
82.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
81.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
81.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
81.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
79.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
79.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
78.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
78.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
78.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
77.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
77.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
77.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
77.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
76.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
76.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
76.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
76.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
75.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
75.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
75.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
74.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
74.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
74.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
74.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
74.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
74.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
74.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
74.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
73.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
73.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
73.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
73.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
73.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
73.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
73.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
72.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
72.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
72.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
72.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
72.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
71.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
71.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
71.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
71.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
70.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
70.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
70.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
70.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
70.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
70.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
70.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
70.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
69.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
69.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
69.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
69.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
68.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
68.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
68.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
67.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
67.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
67.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
67.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
66.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
66.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
66.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
65.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
65.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
65.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
65.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
64.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
64.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
64.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
63.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
63.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
63.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
62.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
62.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
62.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
60.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
60.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
58.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
58.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
57.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
56.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
56.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
55.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
55.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
54.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
54.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
54.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
54.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
53.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
53.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
50.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
50.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
50.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
50.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
48.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
46.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
42.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
42.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
42.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
39.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
29.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
VKORC1 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
58.0
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
125.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
116.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
114.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
109.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
108.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
108.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
105.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
103.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
102.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
101.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
100.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
96.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
95.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
94.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
94.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
93.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
93.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
91.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
91.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
91.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
91.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
89.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
89.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
87.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
87.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
87.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
87.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
87.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
86.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
85.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
85.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
84.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
84.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
83.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
83.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
82.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
82.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
82.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
82.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
81.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
81.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
81.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
80.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
80.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
79.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
78.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
78.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
78.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
77.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
77.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
76.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
75.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
74.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
74.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
74.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
73.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
73.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
72.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
72.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
72.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
72.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
72.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
71.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
71.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
71.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
71.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
71.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
71.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
71.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
70.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
70.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
70.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
70.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
70.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
69.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
69.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
68.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
68.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
68.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
68.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
68.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
67.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
67.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
66.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
66.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
66.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
66.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
65.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
65.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
65.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
65.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
65.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
65.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
64.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
64.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
64.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
64.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
63.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
63.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
62.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
62.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
62.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
62.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
61.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
61.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
60.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
60.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
60.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
59.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
59.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
59.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
59.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
59.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
59.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
59.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
59.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
59.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
59.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
58.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
57.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
57.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
56.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
56.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
56.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
56.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
56.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
56.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
56.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
55.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
55.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
55.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
55.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
55.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
55.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
54.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
54.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
53.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
53.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
53.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
53.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
53.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
52.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
52.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
51.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
51.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
51.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
51.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
51.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
50.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
50.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
50.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
50.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
49.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
48.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
47.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
47.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
47.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
46.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
46.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
45.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
45.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
45.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
43.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
43.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
42.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
41.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
41.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
41.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
40.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
39.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
39.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
38.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
35.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
19.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
VKORC1 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
73.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
156.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
137.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
129.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
115.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
113.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
102.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
102.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
101.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
100.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
96.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
96.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
95.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
92.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
91.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
89.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
87.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
86.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
86.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
85.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
85.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
84.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
84.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
83.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
82.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
81.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
80.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
78.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
78.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
77.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
77.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
76.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
76.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
75.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
74.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
74.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
74.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
73.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
73.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
73.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
71.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
70.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
68.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
67.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
67.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
66.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
66.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
64.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
63.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
63.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
63.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
61.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
60.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
58.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
58.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
58.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
54.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
54.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
53.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
52.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
51.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
50.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
50.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
50.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
47.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
VKORC1 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
52.1
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
169.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
105.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
96.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
94.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
90.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
90.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
89.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
89.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
87.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
86.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
86.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
83.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
80.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
80.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
77.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
76.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
75.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
73.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
72.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
71.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
71.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
66.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
65.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
65.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
65.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
65.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
65.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
64.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
63.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
62.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
62.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
62.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
61.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
60.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
60.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
60.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
59.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
58.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
58.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
57.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
54.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
53.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
52.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
50.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
49.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
47.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
46.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
45.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
44.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
43.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
42.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
41.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
30.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
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Tumor
0.5
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Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
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Tumor
0.4
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Normal
0.4
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Tumor
0.4
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Tumor
0.4
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Normal
0.4
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Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
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Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
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Normal
0.2
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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
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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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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Normal
0.1
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Tumor
0.1
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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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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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Tumor
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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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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Normal
0.0
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Normal
0.0
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Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
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Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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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
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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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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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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Normal
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
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Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
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Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
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Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
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Tumor
-0.5
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Tumor
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
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Tumor
-0.6
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Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Normal
-0.7
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Tumor
-0.7
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Tumor
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
