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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.
KPNA2 is potential prognostic, high expression is favorable 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
93.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
317.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
251.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
228.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
204.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
189.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
181.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
181.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
176.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
175.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
161.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
160.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
158.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
156.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
154.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
154.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
151.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
150.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
150.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
148.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
143.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
142.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
139.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
137.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
137.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
136.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
136.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
135.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
133.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
133.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
132.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
131.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
130.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
130.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
130.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
129.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
129.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
129.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
128.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
126.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
125.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
125.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
125.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
124.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
124.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
123.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
123.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
122.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
122.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
122.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
121.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
120.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
120.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
120.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
119.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
119.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
118.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
118.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
118.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
116.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
116.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
116.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
116.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
115.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
114.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
113.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
113.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
112.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
112.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
112.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
112.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
110.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
108.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
107.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
107.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
107.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
107.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
106.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
106.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
106.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
105.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
104.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
103.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
102.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
102.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
102.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
102.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
102.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
102.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
101.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
101.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
100.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
100.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
99.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
99.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
98.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
98.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
98.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
97.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
97.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
97.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
97.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
97.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
96.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
96.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
95.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
95.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
95.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
93.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
93.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
93.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
93.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
93.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
92.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
92.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
92.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
91.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
91.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
91.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
90.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
90.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
90.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
90.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
89.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
89.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
89.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
89.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
88.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
88.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
88.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
88.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
88.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
87.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
86.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
85.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
85.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
84.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
84.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
84.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
84.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
83.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
83.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
82.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
82.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
82.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
81.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
81.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
81.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
79.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
79.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
79.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
79.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
78.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
78.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
77.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
77.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
76.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
75.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
75.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
75.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
75.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
75.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
74.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
74.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
73.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
73.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
73.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
72.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
72.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
72.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
71.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
71.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
71.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
70.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
70.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
70.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
69.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
68.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
68.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
68.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
68.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
67.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
67.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
67.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
66.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
65.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
65.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
65.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
65.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
65.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
63.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
63.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
62.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
62.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
62.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
61.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
60.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
58.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
56.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
56.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
56.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
55.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
55.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
55.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
54.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
53.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
51.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
50.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
49.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
48.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
47.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
47.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
45.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
43.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
42.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
41.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
40.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
KPNA2 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
78.9
Number of samples
486
Samples
Sample
Description
TPM
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
307.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
265.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
232.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
195.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
191.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
182.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
172.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
171.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
170.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
168.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
165.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
160.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
153.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
150.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
148.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
148.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
146.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
144.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
139.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
139.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
138.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
138.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
137.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
134.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
133.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
133.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
131.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
130.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
129.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
127.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
127.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
126.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
126.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
126.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
125.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
124.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
124.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
124.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
124.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
123.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
123.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
123.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
123.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
122.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
122.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
122.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
121.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
121.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
119.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
119.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
118.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
118.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
118.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
115.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
115.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
115.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
114.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
114.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
114.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
114.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
114.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
113.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
110.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
109.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
109.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
108.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
108.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
108.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
107.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
107.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
107.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
106.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
106.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
106.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
106.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
106.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
106.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
106.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
105.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
105.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
105.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
104.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
104.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
104.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
103.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
103.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
103.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
102.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
102.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
102.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
102.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
102.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
102.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
101.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
101.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
100.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
100.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
99.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
99.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
99.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
99.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
98.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
98.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
98.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
98.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
98.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
98.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
98.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
98.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
98.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
97.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
97.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
97.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
97.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
97.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
96.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
95.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
95.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
95.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
95.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
95.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
95.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
95.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
94.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
94.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
94.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
94.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
94.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
93.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
93.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
92.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
92.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
92.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
92.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
92.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
91.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
91.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
91.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
90.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
90.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
90.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
90.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
89.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
89.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
89.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
89.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
89.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
89.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
88.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
88.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
88.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
87.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
87.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
87.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
87.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
87.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
87.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
87.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
86.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
86.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
86.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
85.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
85.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
85.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
85.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
85.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
85.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
85.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
85.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
84.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
84.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
84.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
84.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
84.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
83.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
83.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
83.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
83.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
83.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
82.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
82.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
82.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
82.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
82.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
82.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
81.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
80.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
80.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
80.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
80.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
80.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
80.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
80.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
79.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
79.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
79.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
79.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
79.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
79.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
79.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
78.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
78.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
78.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
78.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
78.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
77.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
77.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
76.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
76.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
76.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
76.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
76.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
75.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
75.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
75.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
74.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
74.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
74.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
74.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
74.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
73.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
73.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
73.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
73.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
73.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
72.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
72.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
72.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
72.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
72.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
72.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
72.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
72.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
71.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
71.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
70.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
70.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
70.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
70.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
69.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
69.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
69.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
68.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
68.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
68.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
68.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
67.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
66.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
66.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
66.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
66.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
65.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
65.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
64.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
64.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
64.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
64.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
63.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
63.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
63.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
63.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
62.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
62.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
62.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
62.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
61.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
61.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
60.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
60.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
60.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
59.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
59.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
58.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
58.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
57.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
57.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
57.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
57.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
56.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
56.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
56.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
55.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
55.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
55.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
54.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
54.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
53.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
51.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
50.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
49.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
48.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
47.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
47.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
47.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
45.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
44.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
44.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
42.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
40.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
36.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
32.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
29.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
26.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
24.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
20.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
17.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
15.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
KPNA2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
89.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
252.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
244.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
209.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
184.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
170.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
167.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
166.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
161.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
149.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
146.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
143.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
139.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
139.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
134.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
134.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
128.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
126.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
125.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
122.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
121.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
119.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
117.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
115.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
113.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
113.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
112.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
110.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
107.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
99.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
95.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
93.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
93.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
91.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
91.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
89.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
89.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
87.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
87.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
86.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
85.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
84.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
83.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
82.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
82.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
82.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
82.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
80.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
78.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
70.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
70.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
70.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
70.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
70.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
68.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
67.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
65.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
63.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
63.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
50.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
48.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
48.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
45.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
42.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
41.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
24.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KPNA2 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
68.9
Number of samples
207
Samples
Sample
Description
TPM
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
200.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
151.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
142.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
140.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
138.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
137.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
137.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
135.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
134.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
131.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
125.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
125.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
122.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
121.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
120.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
120.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
116.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
114.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
114.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
112.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
112.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
111.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
107.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
106.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
105.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
102.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
100.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
98.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
98.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
98.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
97.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
95.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
95.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
95.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
95.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
94.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
92.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
92.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
90.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
90.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
89.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
88.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
87.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
86.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
86.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
86.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
84.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
84.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
84.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
84.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
84.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
83.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
82.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
81.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
81.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
79.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
78.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
78.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
78.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
78.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
77.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
77.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
77.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
77.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
76.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
76.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
74.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
74.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
74.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
74.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
73.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
73.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
73.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
73.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
72.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
72.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
71.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
71.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
71.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
71.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
70.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
70.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
69.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
68.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
68.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
67.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
67.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
66.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
66.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
66.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
65.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
63.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
63.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
62.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
60.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
59.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
56.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
55.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
54.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
51.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
50.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
50.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
45.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
45.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
45.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
41.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
38.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
31.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.8
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.5
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
