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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.
NECTIN2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
82.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
193.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
191.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
184.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
173.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
164.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
158.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
156.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
155.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
147.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
143.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
143.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
140.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
138.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
138.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
135.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
133.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
132.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
131.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
128.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
126.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
124.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
124.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
123.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
123.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
121.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
121.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
120.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
119.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
117.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
116.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
116.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
116.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
116.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
115.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
115.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
114.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
113.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
113.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
112.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
111.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
110.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
110.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
110.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
109.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
109.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
108.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
107.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
107.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
106.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
103.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
103.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
103.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
103.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
102.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
102.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
102.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
102.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
100.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
100.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
99.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
98.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
98.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
97.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
96.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
95.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
94.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
94.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
94.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
94.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
93.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
93.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
93.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
93.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
92.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
92.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
92.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
91.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
91.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
91.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
91.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
91.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
91.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
91.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
90.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
90.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
89.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
89.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
88.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
88.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
88.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
88.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
88.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
87.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
86.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
86.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
86.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
86.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
85.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
85.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
84.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
84.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
84.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
84.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
84.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
84.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
83.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
83.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
82.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
82.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
82.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
82.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
81.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
81.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
81.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
80.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
80.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
79.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
78.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
77.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
77.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
77.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
76.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
76.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
76.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
76.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
76.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
75.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
75.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
75.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
74.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
74.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
74.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
74.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
73.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
73.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
73.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
73.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
73.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
72.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
72.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
72.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
72.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
71.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
71.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
71.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
71.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
70.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
70.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
70.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
70.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
70.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
70.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
69.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
69.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
69.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
68.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
68.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
68.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
68.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
68.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
67.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
67.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
67.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
67.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
67.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
67.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
66.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
65.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
65.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
63.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
63.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
63.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
63.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
63.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
62.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
62.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
62.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
61.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
61.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
61.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
61.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
60.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
60.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
59.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
59.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
58.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
58.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
56.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
55.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
54.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
54.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
53.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
53.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
52.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
49.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
48.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
46.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
45.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
44.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
44.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
42.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
40.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
40.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
37.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
37.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
NECTIN2 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
78.6
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
207.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
174.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
172.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
170.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
168.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
168.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
164.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
164.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
163.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
158.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
158.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
155.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
148.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
145.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
144.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
143.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
140.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
137.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
135.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
134.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
133.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
133.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
131.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
131.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
129.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
129.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
129.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
128.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
128.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
127.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
127.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
127.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
126.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
124.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
123.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
123.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
122.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
121.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
121.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
120.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
120.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
120.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
119.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
119.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
119.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
117.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
117.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
115.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
114.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
114.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
114.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
113.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
113.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
112.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
112.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
112.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
112.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
111.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
111.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
111.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
110.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
110.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
110.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
109.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
109.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
108.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
108.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
108.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
107.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
107.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
107.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
107.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
106.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
105.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
103.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
103.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
103.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
103.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
103.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
102.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
102.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
102.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
102.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
102.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
101.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
101.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
101.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
101.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
100.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
100.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
100.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
100.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
100.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
100.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
100.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
100.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
100.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
99.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
99.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
99.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
99.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
99.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
98.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
97.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
97.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
97.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
97.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
97.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
97.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
97.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
96.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
96.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
96.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
96.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
95.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
95.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
94.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
94.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
94.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
93.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
93.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
93.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
93.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
93.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
93.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
92.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
92.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
92.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
92.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
92.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
92.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
92.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
91.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
91.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
90.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
90.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
90.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
90.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
90.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
89.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
89.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
89.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
88.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
88.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
88.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
88.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
88.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
88.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
87.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
86.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
86.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
86.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
86.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
86.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
86.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
86.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
86.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
85.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
85.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
85.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
85.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
84.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
84.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
83.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
83.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
83.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
82.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
82.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
82.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
82.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
81.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
81.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
81.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
80.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
80.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
80.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
80.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
80.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
79.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
79.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
79.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
79.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
79.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
79.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
79.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
79.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
78.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
78.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
78.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
78.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
78.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
78.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
77.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
77.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
77.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
77.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
77.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
77.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
76.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
76.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
76.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
76.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
76.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
75.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
75.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
75.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
75.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
74.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
74.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
74.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
74.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
74.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
74.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
73.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
73.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
73.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
73.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
71.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
71.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
71.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
71.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
71.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
70.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
70.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
70.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
70.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
70.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
70.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
70.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
69.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
69.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
69.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
69.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
69.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
69.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
69.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
68.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
68.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
67.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
67.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
67.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
67.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
66.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
66.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
66.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
66.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
65.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
65.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
65.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
65.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
65.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
65.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
65.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
64.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
64.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
63.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
63.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
63.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
62.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
62.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
62.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
62.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
62.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
62.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
62.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
62.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
62.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
61.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
61.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
61.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
61.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
60.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
60.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
60.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
60.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
59.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
59.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
58.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
58.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
57.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
57.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
57.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
56.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
56.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
56.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
56.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
55.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
55.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
55.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
55.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
54.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
54.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
54.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
54.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
53.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
53.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
52.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
52.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
52.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
51.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
49.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
49.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
49.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
46.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
44.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
44.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
43.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
42.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
42.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
41.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
40.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
35.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
NECTIN2 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
78.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
231.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
176.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
174.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
138.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
137.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
132.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
130.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
129.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
125.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
124.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
119.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
118.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
116.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
102.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
100.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
100.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
98.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
97.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
95.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
94.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
91.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
91.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
89.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
88.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
87.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
87.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
87.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
87.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
86.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
84.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
83.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
80.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
80.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
79.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
78.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
78.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
77.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
75.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
75.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
74.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
74.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
73.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
73.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
72.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
72.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
72.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
71.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
71.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
70.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
70.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
70.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
69.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
67.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
67.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
67.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
66.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
63.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
60.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
58.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
57.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
55.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
55.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
51.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
49.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
46.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
43.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
41.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
26.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 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.
NECTIN2 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
65.4
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
138.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
136.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
132.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
128.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
114.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
114.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
112.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
110.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
107.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
105.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
103.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
102.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
99.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
98.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
97.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
97.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
96.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
96.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
95.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
93.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
92.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
92.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
91.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
91.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
90.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
89.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
86.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
86.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
86.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
85.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
85.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
84.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
84.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
83.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
82.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
82.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
81.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
81.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
80.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
80.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
79.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
78.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
78.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
78.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
77.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
77.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
77.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
76.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
76.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
74.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
74.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
73.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
73.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
73.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
72.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
71.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
71.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
70.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
69.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
69.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
67.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
67.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
67.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
65.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
65.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
65.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
65.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
64.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
64.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
63.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
63.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
63.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
62.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
62.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
62.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
62.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
61.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
60.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
59.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
59.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
57.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
56.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
55.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
55.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
54.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
52.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
46.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
41.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
41.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
40.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
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Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
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Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
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Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
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Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
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Normal
-0.1
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Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
