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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.
NPTN 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
74.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
164.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
162.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
158.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
155.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
154.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
144.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
143.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
141.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
140.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
135.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
135.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
126.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
122.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
122.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
121.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
121.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
120.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
119.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
118.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
118.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
114.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
112.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
112.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
112.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
112.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
112.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
112.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
109.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
107.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
107.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
107.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
106.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
105.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
105.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
104.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
104.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
104.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
104.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
103.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
103.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
102.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
101.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
101.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
101.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
101.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
101.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
101.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
99.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
99.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
98.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
97.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
97.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
97.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
97.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
97.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
96.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
95.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
94.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
94.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
93.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
93.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
93.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
93.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
92.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
92.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
92.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
92.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
92.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
91.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
91.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
90.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
90.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
90.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
89.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
89.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
89.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
88.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
88.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
88.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
87.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
87.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
87.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
87.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
86.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
86.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
86.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
85.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
85.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
85.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
84.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
84.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
83.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
83.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
83.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
82.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
82.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
82.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
82.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
81.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
80.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
80.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
80.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
79.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
79.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
78.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
78.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
78.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
77.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
76.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
76.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
75.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
75.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
75.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
74.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
74.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
74.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
73.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
73.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
72.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
71.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
71.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
71.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
71.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
71.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
70.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
70.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
69.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
69.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
68.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
68.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
68.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
68.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
67.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
67.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
67.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
66.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
66.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
65.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
65.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
65.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
65.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
64.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
64.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
64.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
64.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
63.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
63.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
62.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
62.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
62.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
62.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
62.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
61.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
61.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
61.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
61.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
60.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
60.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
59.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
59.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
59.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
59.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
58.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
58.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
58.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
58.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
57.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
57.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
57.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
56.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
56.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
56.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
56.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
56.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
55.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
54.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
53.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
52.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
51.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
50.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
48.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
47.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
46.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
46.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
46.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
44.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
43.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
41.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
41.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
38.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
37.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
34.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
33.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
32.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
29.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
22.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
19.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
NPTN 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
115.9
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
265.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
249.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
222.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
217.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
217.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
215.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
202.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
190.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
190.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
188.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
187.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
185.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
185.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
183.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
182.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
182.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
179.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
176.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
174.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
174.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
174.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
172.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
172.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
172.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
170.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
170.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
170.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
170.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
169.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
168.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
168.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
167.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
167.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
166.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
166.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
165.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
164.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
164.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
163.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
163.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
163.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
162.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
161.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
159.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
158.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
158.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
158.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
157.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
157.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
157.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
156.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
156.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
155.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
154.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
154.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
154.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
151.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
151.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
151.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
151.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
151.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
151.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
151.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
151.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
150.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
149.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
149.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
149.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
148.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
147.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
147.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
147.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
146.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
146.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
146.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
145.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
145.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
145.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
144.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
143.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
143.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
142.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
142.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
142.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
142.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
141.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
141.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
141.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
140.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
140.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
140.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
139.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
139.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
139.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
139.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
139.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
138.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
138.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
137.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
137.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
137.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
137.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
137.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
137.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
137.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
136.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
136.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
136.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
136.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
136.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
135.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
135.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
135.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
135.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
135.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
135.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
135.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
134.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
134.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
134.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
134.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
133.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
133.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
133.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
133.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
133.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
133.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
133.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
132.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
132.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
132.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
131.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
131.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
131.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
130.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
130.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
130.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
129.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
129.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
129.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
128.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
128.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
128.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
127.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
127.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
127.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
127.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
126.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
126.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
126.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
126.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
126.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
126.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
125.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
125.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
125.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
125.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
125.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
125.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
124.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
124.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
124.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
124.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
124.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
123.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
123.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
123.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
123.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
122.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
122.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
122.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
122.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
122.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
121.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
121.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
121.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
121.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
120.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
120.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
120.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
120.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
120.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
120.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
120.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
120.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
120.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
119.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
119.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
119.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
119.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
119.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
119.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
118.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
118.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
118.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
118.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
118.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
117.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
117.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
117.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
117.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
117.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
117.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
117.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
116.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
116.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
116.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
116.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
116.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
115.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
115.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
115.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
115.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
115.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
115.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
115.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
114.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
114.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
114.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
114.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
114.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
114.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
114.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
114.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
114.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
114.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
114.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
113.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
113.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
113.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
113.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
113.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
113.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
113.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
113.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
112.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
112.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
112.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
112.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
112.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
112.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
112.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
112.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
112.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
111.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
111.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
111.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
111.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
111.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
111.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
111.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
110.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
110.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
110.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
110.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
110.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
110.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
110.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
109.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
109.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
109.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
109.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
109.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
109.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
109.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
109.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
109.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
108.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
108.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
108.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
108.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
108.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
108.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
107.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
107.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
107.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
107.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
107.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
107.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
107.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
107.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
107.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
107.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
107.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
107.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
106.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
106.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
106.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
106.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
106.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
106.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
105.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
105.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
105.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
105.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
105.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
105.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
104.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
104.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
104.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
104.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
104.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
103.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
103.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
103.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
103.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
103.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
103.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
103.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
102.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
102.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
102.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
102.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
101.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
101.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
101.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
101.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
101.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
101.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
100.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
100.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
100.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
100.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
100.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
100.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
100.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
100.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
100.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
100.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
100.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
99.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
99.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
99.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
99.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
99.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
98.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
98.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
98.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
98.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
98.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
98.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
98.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
97.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
97.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
97.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
97.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
97.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
96.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
96.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
96.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
96.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
96.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
96.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
96.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
96.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
95.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
95.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
95.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
95.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
95.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
95.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
95.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
95.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
94.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
94.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
94.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
94.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
94.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
94.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
94.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
94.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
93.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
93.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
93.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
93.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
93.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
93.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
92.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
92.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
92.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
92.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
91.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
91.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
91.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
91.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
91.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
91.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
90.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
90.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
90.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
90.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
90.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
90.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
90.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
90.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
89.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
89.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
89.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
89.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
89.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
89.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
88.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
88.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
88.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
87.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
87.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
87.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
87.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
87.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
86.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
86.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
86.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
86.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
85.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
85.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
85.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
85.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
84.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
84.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
84.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
84.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
83.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
83.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
83.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
83.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
82.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
82.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
82.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
82.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
82.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
82.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
81.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
81.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
80.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
79.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
78.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
78.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
78.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
77.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
77.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
76.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
75.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
75.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
75.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
74.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
72.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
72.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
72.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
71.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
71.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
70.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
70.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
69.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
68.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
67.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
66.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
66.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
65.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
65.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
57.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
56.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
56.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
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.
NPTN is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
73.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
194.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
148.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
140.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
134.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
125.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
119.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
113.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
111.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
108.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
105.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
105.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
105.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
102.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
100.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
100.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
99.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
97.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
97.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
94.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
94.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
91.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
91.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
91.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
88.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
88.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
85.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
83.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
83.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
82.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
82.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
81.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
79.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
77.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
77.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
77.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
76.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
76.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
74.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
73.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
73.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
72.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
70.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
70.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
69.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
68.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
68.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
68.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
67.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
67.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
66.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
65.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
62.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
61.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
57.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
57.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
57.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
54.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
54.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
54.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
48.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
48.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
43.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
35.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
33.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
21.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NPTN 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
101.4
Number of samples
207
Samples
Sample
Description
TPM
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
198.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
187.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
185.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
169.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
169.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
168.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
165.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
152.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
149.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
146.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
145.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
144.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
141.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
141.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
138.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
138.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
138.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
138.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
137.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
136.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
133.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
132.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
132.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
131.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
130.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
130.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
130.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
129.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
128.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
128.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
127.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
126.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
126.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
124.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
124.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
124.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
123.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
122.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
122.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
122.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
122.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
121.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
120.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
120.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
120.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
119.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
119.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
119.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
119.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
118.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
118.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
118.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
117.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
117.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
117.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
116.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
116.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
116.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
116.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
116.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
116.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
115.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
115.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
114.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
113.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
112.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
112.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
112.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
112.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
111.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
111.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
110.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
109.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
109.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
109.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
108.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
108.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
108.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
108.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
107.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
106.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
106.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
106.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
105.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
105.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
105.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
105.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
104.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
104.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
104.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
104.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
104.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
104.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
103.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
103.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
102.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
102.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
102.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
102.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
101.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
100.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
100.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
99.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
98.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
98.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
97.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
96.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
96.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
96.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
95.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
95.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
95.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
95.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
95.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
95.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
94.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
94.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
94.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
94.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
94.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
94.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
93.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
93.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
92.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
92.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
92.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
92.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
92.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
91.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
91.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
91.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
91.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
91.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
90.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
90.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
90.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
89.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
89.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
89.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
89.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
89.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
89.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
88.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
87.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
87.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
87.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
87.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
87.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
86.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
86.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
85.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
84.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
84.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
84.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
84.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
83.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
83.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
83.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
82.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
81.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
81.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
80.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
79.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
79.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
78.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
78.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
77.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
76.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
76.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
76.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
75.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
74.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
71.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
69.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
69.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
69.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
68.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
67.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
65.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
62.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
62.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
61.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
58.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
54.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
53.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.9
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.8
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.1
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
