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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.
SEC31A 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
86.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
166.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
165.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
161.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
156.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
150.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
144.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
137.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
133.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
133.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
131.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
129.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
129.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
128.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
127.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
126.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
126.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
124.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
123.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
122.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
122.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
122.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
121.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
120.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
119.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
119.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
118.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
117.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
117.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
117.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
116.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
114.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
113.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
113.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
113.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
113.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
112.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
111.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
111.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
110.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
110.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
110.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
110.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
109.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
109.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
109.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
109.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
107.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
107.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
106.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
106.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
106.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
105.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
105.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
105.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
105.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
104.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
104.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
104.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
104.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
103.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
103.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
102.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
102.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
102.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
102.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
102.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
102.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
102.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
101.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
101.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
100.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
100.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
99.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
99.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
99.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
99.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
98.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
97.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
97.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
96.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
96.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
96.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
96.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
95.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
95.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
95.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
94.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
94.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
94.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
94.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
94.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
93.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
93.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
93.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
93.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
92.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
92.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
92.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
91.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
91.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
91.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
91.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
91.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
90.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
90.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
90.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
89.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
89.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
89.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
89.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
88.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
88.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
88.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
88.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
87.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
87.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
87.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
87.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
86.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
86.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
86.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
85.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
84.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
84.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
84.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
84.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
84.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
83.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
83.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
83.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
83.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
83.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
83.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
83.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
82.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
82.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
82.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
82.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
82.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
81.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
80.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
80.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
80.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
80.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
80.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
80.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
80.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
79.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
79.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
78.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
78.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
78.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
78.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
76.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
75.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
75.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
73.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
73.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
72.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
72.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
72.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
72.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
72.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
72.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
72.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
72.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
71.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
71.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
71.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
71.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
71.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
71.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
70.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
70.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
70.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
69.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
69.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
69.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
67.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
66.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
66.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
65.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
65.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
65.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
65.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
64.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
64.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
64.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
63.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
63.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
63.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
63.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
63.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
63.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
62.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
62.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
61.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
61.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
61.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
60.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
60.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
60.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
60.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
60.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
59.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
59.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
58.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
58.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
56.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
54.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
53.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
53.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
53.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
52.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
50.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
49.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
45.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
42.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
41.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
34.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
30.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 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.
SEC31A is potential prognostic, high expression is unfavorable 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
177.2
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
318.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
315.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
306.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
290.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
290.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
289.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
289.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
284.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
280.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
280.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
280.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
268.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
265.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
263.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
258.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
257.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
255.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
253.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
251.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
251.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
250.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
248.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
247.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
247.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
246.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
244.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
243.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
243.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
241.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
241.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
241.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
240.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
238.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
237.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
236.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
236.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
235.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
235.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
235.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
234.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
233.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
233.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
233.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
231.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
231.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
230.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
230.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
229.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
229.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
226.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
225.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
225.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
224.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
224.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
222.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
221.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
220.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
220.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
219.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
219.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
219.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
219.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
217.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
217.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
217.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
216.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
216.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
216.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
216.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
216.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
214.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
213.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
212.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
212.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
212.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
212.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
212.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
211.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
211.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
211.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
210.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
210.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
210.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
210.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
210.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
209.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
209.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
209.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
208.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
208.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
207.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
207.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
207.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
206.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
205.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
205.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
205.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
205.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
204.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
204.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
204.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
203.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
203.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
202.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
202.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
202.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
201.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
201.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
201.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
201.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
200.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
199.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
199.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
199.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
198.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
198.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
198.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
198.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
197.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
197.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
197.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
197.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
196.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
196.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
196.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
196.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
196.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
195.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
194.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
194.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
194.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
194.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
194.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
194.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
194.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
194.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
194.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
194.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
194.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
193.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
193.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
193.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
192.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
192.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
192.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
192.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
191.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
191.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
191.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
190.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
190.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
190.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
190.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
190.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
189.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
189.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
189.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
188.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
188.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
188.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
187.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
187.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
187.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
187.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
187.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
187.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
187.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
187.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
186.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
186.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
186.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
186.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
186.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
185.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
185.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
185.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
185.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
185.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
184.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
184.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
184.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
184.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
184.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
184.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
184.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
184.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
184.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
184.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
183.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
183.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
183.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
182.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
182.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
182.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
182.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
182.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
182.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
181.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
181.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
181.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
181.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
181.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
181.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
180.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
180.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
180.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
180.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
180.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
180.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
180.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
179.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
179.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
179.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
178.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
178.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
178.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
178.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
177.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
177.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
177.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
177.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
176.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
176.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
176.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
176.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
176.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
176.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
176.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
175.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
175.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
175.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
175.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
175.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
175.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
175.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
174.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
174.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
174.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
174.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
173.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
173.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
173.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
173.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
173.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
173.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
173.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
173.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
172.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
172.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
172.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
172.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
172.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
172.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
171.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
171.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
171.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
171.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
171.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
170.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
170.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
170.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
170.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
170.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
170.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
170.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
169.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
169.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
169.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
169.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
169.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
169.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
169.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
168.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
168.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
168.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
168.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
168.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
168.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
167.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
167.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
167.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
167.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
167.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
167.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
167.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
167.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
166.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
166.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
166.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
166.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
166.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
166.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
166.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
165.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
165.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
165.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
164.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
164.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
164.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
164.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
164.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
164.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
163.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
163.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
163.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
163.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
163.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
163.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
162.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
162.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
162.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
162.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
161.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
161.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
161.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
161.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
160.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
160.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
160.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
160.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
160.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
160.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
159.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
159.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
159.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
159.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
159.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
158.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
158.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
158.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
158.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
158.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
158.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
157.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
157.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
157.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
157.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
157.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
156.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
156.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
156.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
156.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
156.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
155.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
155.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
155.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
155.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
154.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
154.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
154.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
154.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
153.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
153.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
153.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
153.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
153.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
152.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
152.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
152.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
152.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
152.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
152.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
152.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
152.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
151.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
151.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
151.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
150.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
150.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
150.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
150.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
150.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
150.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
150.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
149.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
149.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
149.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
149.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
149.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
148.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
148.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
148.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
148.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
148.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
148.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
148.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
148.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
148.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
147.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
147.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
147.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
147.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
147.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
146.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
146.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
146.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
146.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
146.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
146.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
146.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
145.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
145.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
144.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
144.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
144.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
144.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
144.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
144.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
144.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
144.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
144.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
143.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
142.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
142.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
142.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
142.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
142.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
141.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
141.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
141.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
141.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
140.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
140.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
139.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
139.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
139.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
139.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
138.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
138.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
138.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
138.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
138.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
137.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
137.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
137.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
136.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
136.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
135.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
135.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
135.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
134.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
134.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
133.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
133.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
132.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
132.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
132.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
132.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
131.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
131.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
131.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
130.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
129.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
129.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
129.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
128.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
127.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
127.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
126.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
124.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
124.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
123.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
122.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
122.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
121.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
120.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
119.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
118.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
117.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
117.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
116.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
116.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
114.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
112.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
112.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
111.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
110.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
108.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
107.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
107.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
101.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
96.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
89.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
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.
SEC31A 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
89.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
158.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
145.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
144.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
131.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
128.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
127.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
126.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
126.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
125.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
125.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
125.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
124.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
120.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
119.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
119.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
118.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
116.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
116.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
111.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
108.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
108.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
105.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
104.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
104.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
104.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
102.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
101.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
101.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
101.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
100.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
99.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
99.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
96.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
95.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
95.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
95.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
94.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
94.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
94.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
92.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
90.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
90.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
88.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
87.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
86.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
85.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
84.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
83.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
83.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
81.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
79.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
76.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
74.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
73.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
73.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
73.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
72.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
72.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
71.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
71.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
71.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
70.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
68.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
67.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
66.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
66.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
65.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
64.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
63.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
62.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
61.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
58.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
58.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
58.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
56.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
54.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
52.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
50.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEC31A 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
178.4
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
343.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
284.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
277.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
277.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
265.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
264.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
251.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
250.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
249.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
248.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
247.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
247.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
238.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
238.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
236.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
235.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
235.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
225.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
224.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
222.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
222.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
220.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
220.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
218.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
217.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
217.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
216.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
214.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
214.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
214.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
214.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
212.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
211.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
210.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
209.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
209.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
208.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
208.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
207.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
207.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
206.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
205.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
204.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
204.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
204.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
204.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
203.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
203.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
201.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
201.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
201.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
200.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
200.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
199.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
199.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
197.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
196.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
196.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
196.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
195.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
194.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
193.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
193.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
193.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
193.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
193.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
191.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
191.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
189.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
189.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
188.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
187.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
186.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
186.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
186.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
185.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
185.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
184.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
183.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
183.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
183.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
183.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
182.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
181.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
181.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
181.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
181.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
180.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
180.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
180.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
180.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
179.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
177.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
177.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
177.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
177.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
177.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
177.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
176.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
176.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
176.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
176.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
175.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
175.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
175.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
174.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
174.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
173.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
173.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
172.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
172.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
172.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
172.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
171.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
171.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
171.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
170.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
170.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
170.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
170.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
170.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
168.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
168.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
167.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
167.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
167.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
167.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
166.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
166.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
166.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
165.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
165.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
164.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
163.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
163.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
162.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
162.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
162.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
162.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
161.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
161.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
160.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
160.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
160.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
159.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
159.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
159.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
159.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
158.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
158.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
158.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
158.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
158.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
157.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
157.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
156.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
155.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
155.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
155.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
155.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
154.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
153.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
153.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
153.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
150.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
150.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
149.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
149.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
149.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
149.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
148.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
148.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
147.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
146.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
144.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
144.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
143.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
143.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
141.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
140.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
139.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
139.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
138.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
138.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
137.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
136.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
134.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
133.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
132.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
131.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
131.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
129.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
129.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
128.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
127.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
125.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
124.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
121.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
120.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
119.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
119.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
116.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
110.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
109.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
108.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
77.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
38.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
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Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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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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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_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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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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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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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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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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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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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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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
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Normal
0.0
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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
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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
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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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
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
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
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
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Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
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Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
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
