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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.
NAPA 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
86.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
154.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
147.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
146.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
146.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
144.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
142.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
142.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
141.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
141.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
136.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
136.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
132.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
131.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
130.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
129.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
127.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
126.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
125.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
124.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
123.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
123.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
123.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
123.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
122.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
120.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
120.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
119.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
119.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
118.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
118.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
117.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
117.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
116.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
116.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
114.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
114.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
113.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
111.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
111.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
111.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
111.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
110.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
110.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
110.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
110.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
109.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
108.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
107.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
106.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
106.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
105.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
104.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
104.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
104.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
103.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
103.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
102.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
102.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
101.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
100.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
100.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
100.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
100.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
99.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
99.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
98.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
98.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
98.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
97.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
97.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
97.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
96.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
96.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
96.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
95.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
95.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
95.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
95.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
94.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
94.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
94.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
93.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
93.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
93.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
92.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
92.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
92.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
92.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
92.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
91.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
91.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
91.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
91.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
90.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
90.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
90.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
90.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
90.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
90.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
90.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
90.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
89.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
88.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
88.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
88.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
88.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
88.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
87.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
87.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
87.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
87.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
87.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
87.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
86.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
86.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
86.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
85.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
85.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
85.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
85.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
84.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
84.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
84.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
84.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
84.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
84.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
83.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
82.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
82.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
82.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
82.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
82.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
82.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
82.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
81.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
81.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
81.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
81.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
81.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
81.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
80.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
80.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
80.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
80.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
79.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
79.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
78.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
78.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
78.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
77.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
77.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
77.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
76.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
76.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
76.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
76.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
76.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
76.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
76.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
75.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
75.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
75.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
75.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
74.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
74.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
74.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
73.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
73.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
73.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
73.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
73.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
73.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
73.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
72.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
72.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
72.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
72.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
72.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
71.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
69.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
69.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
68.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
68.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
68.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
68.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
68.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
68.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
67.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
67.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
66.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
66.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
65.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
65.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
65.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
65.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
64.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
63.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
63.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
61.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
61.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
61.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
61.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
60.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
60.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
60.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
59.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
59.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
58.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
58.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
57.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
57.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
57.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
57.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
56.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
56.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
56.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
55.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
55.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
53.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
52.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
52.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
52.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
51.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
51.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
51.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
50.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
47.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
46.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
NAPA is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
72.1
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
202.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
140.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
132.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
132.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
130.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
125.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
125.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
122.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
117.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
115.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
114.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
113.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
112.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
112.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
112.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
111.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
110.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
110.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
107.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
107.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
106.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
106.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
105.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
105.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
104.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
102.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
101.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
101.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
101.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
101.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
100.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
100.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
99.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
99.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
99.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
98.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
98.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
98.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
98.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
97.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
97.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
97.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
97.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
97.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
97.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
96.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
96.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
96.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
95.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
95.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
94.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
94.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
94.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
94.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
94.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
94.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
93.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
93.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
93.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
93.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
93.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
92.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
92.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
92.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
92.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
92.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
91.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
91.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
91.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
90.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
90.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
89.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
89.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
89.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
89.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
88.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
88.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
88.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
88.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
88.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
88.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
87.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
87.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
87.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
87.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
87.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
87.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
87.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
87.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
87.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
87.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
86.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
86.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
86.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
86.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
86.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
86.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
85.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
85.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
85.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
85.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
85.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
85.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
85.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
84.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
84.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
83.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
83.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
83.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
83.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
83.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
82.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
82.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
82.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
82.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
82.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
82.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
81.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
81.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
81.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
81.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
81.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
81.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
81.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
81.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
81.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
80.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
80.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
80.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
80.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
80.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
80.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
80.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
79.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
79.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
79.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
79.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
79.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
79.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
79.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
79.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
78.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
78.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
78.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
78.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
78.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
78.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
78.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
78.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
77.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
77.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
77.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
77.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
77.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
77.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
76.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
76.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
76.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
76.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
76.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
75.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
75.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
75.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
75.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
75.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
74.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
74.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
74.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
74.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
74.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
73.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
73.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
73.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
73.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
72.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
72.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
72.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
72.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
72.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
72.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
71.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
71.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
70.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
70.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
70.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
70.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
70.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
69.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
69.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
69.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
69.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
69.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
69.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
69.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
68.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
68.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
68.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
68.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
68.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
68.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
67.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
67.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
67.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
67.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
67.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
67.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
66.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
66.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
66.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
66.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
65.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
65.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
65.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
65.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
65.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
65.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
65.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
64.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
64.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
64.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
64.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
64.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
63.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
63.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
63.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
63.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
63.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
63.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
63.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
63.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
62.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
62.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
62.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
61.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
61.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
61.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
61.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
60.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
60.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
59.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
59.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
59.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
59.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
59.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
59.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
59.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
58.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
58.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
57.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
57.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
57.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
57.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
56.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
56.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
56.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
55.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
55.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
53.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
53.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
53.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
53.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
53.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
53.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
53.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
52.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
52.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
51.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
51.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
50.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
50.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
50.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
49.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
49.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
47.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NAPA 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
81.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
152.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
134.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
131.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
130.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
127.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
119.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
119.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
118.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
112.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
110.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
110.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
108.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
108.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
107.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
106.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
106.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
104.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
103.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
103.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
103.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
103.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
99.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
97.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
95.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
95.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
94.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
92.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
91.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
88.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
88.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
86.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
86.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
86.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
85.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
85.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
85.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
85.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
84.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
84.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
83.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
82.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
81.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
80.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
79.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
79.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
79.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
79.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
78.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
78.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
77.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
76.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
75.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
70.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
67.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
67.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
66.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
65.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
65.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
64.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
64.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
64.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
63.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
62.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
56.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
55.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
55.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
53.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
52.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
46.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
44.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
44.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
NAPA 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
67.4
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
160.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
111.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
105.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
103.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
102.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
98.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
97.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
97.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
95.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
94.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
94.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
94.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
93.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
93.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
92.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
91.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
91.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
90.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
90.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
89.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
88.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
87.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
86.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
86.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
85.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
85.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
85.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
84.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
84.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
84.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
84.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
83.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
83.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
83.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
83.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
82.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
82.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
82.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
82.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
82.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
81.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
81.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
81.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
80.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
80.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
80.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
80.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
79.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
79.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
78.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
78.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
77.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
77.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
77.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
77.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
76.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
76.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
76.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
75.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
75.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
75.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
74.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
73.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
73.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
72.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
72.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
71.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
71.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
71.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
71.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
71.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
69.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
69.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
69.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
69.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
68.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
68.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
68.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
67.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
67.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
67.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
66.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
66.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
65.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
64.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
63.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
62.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
62.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
62.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
62.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
61.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
61.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
61.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
61.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
61.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
61.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
60.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
60.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
59.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
59.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
58.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
58.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
56.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
56.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
56.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
55.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
53.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
52.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
52.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
51.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
50.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
49.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
48.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
46.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
45.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
44.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
40.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
