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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.
DBNDD2 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
111.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
350.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
250.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
249.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
236.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
230.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
227.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
224.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
221.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
219.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
217.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
215.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
214.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
214.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
210.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
209.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
208.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
202.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
195.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
191.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
190.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
188.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
188.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
182.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
180.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
180.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
176.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
176.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
174.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
169.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
168.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
168.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
167.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
165.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
162.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
158.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
157.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
157.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
156.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
155.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
155.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
154.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
153.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
152.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
149.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
149.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
148.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
144.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
143.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
143.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
142.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
142.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
142.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
142.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
141.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
141.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
141.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
141.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
141.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
140.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
139.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
138.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
138.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
138.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
138.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
137.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
137.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
137.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
137.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
136.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
136.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
135.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
134.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
133.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
131.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
131.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
131.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
130.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
130.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
129.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
129.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
128.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
128.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
128.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
127.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
127.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
126.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
125.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
125.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
124.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
123.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
123.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
122.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
121.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
120.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
120.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
120.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
119.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
119.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
119.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
119.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
119.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
117.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
117.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
116.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
115.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
114.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
113.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
113.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
113.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
112.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
111.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
111.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
110.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
110.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
109.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
109.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
109.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
108.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
107.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
107.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
107.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
107.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
105.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
105.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
105.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
103.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
103.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
102.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
102.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
102.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
102.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
101.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
101.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
101.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
100.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
99.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
98.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
98.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
97.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
97.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
96.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
96.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
94.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
93.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
93.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
92.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
92.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
92.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
91.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
90.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
90.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
89.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
89.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
89.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
89.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
88.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
87.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
86.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
86.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
86.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
86.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
85.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
85.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
84.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
84.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
84.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
84.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
83.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
82.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
82.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
81.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
81.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
81.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
80.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
80.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
79.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
79.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
79.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
78.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
78.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
78.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
78.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
78.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
77.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
76.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
76.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
75.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
75.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
74.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
74.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
74.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
73.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
72.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
72.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
71.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
71.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
70.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
69.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
69.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
69.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
68.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
67.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
64.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
63.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
63.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
62.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
61.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
59.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
59.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
57.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
56.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
54.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
50.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
47.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
38.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
36.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
34.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
30.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
DBNDD2 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
83.4
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
248.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
246.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
205.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
203.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
197.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
188.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
187.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
177.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
173.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
173.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
162.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
161.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
161.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
161.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
161.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
161.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
161.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
160.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
160.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
157.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
154.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
151.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
149.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
149.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
148.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
147.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
147.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
146.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
143.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
143.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
141.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
141.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
138.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
138.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
138.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
135.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
135.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
135.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
134.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
133.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
129.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
129.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
129.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
127.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
127.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
127.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
127.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
126.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
126.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
126.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
122.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
122.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
122.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
122.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
122.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
120.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
119.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
119.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
119.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
118.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
117.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
117.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
117.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
116.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
116.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
116.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
115.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
115.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
114.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
114.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
113.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
113.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
112.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
112.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
112.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
112.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
111.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
110.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
110.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
110.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
110.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
110.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
109.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
109.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
108.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
108.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
108.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
108.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
108.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
108.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
107.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
107.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
107.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
106.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
106.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
106.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
106.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
106.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
106.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
106.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
105.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
105.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
105.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
105.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
105.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
105.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
105.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
104.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
104.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
104.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
104.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
103.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
103.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
103.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
103.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
102.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
102.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
101.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
101.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
101.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
101.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
101.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
101.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
100.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
100.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
100.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
100.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
99.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
99.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
99.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
98.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
98.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
98.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
97.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
97.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
97.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
97.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
96.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
96.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
96.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
96.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
95.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
95.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
95.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
95.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
94.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
94.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
94.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
94.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
94.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
93.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
93.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
93.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
93.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
93.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
92.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
92.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
92.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
92.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
92.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
91.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
90.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
90.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
90.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
90.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
90.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
89.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
89.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
89.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
89.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
89.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
88.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
88.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
88.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
88.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
88.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
88.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
87.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
87.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
87.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
87.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
87.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
86.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
86.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
86.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
86.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
86.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
86.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
85.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
85.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
85.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
85.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
85.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
85.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
85.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
84.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
84.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
84.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
84.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
84.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
84.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
84.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
83.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
83.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
83.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
83.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
83.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
82.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
82.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
82.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
82.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
82.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
81.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
81.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
81.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
81.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
81.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
81.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
81.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
80.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
80.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
79.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
79.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
78.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
78.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
78.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
78.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
77.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
77.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
77.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
77.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
76.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
76.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
76.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
76.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
75.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
75.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
75.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
75.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
75.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
75.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
74.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
74.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
74.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
74.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
74.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
73.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
73.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
73.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
72.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
72.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
72.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
72.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
72.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
72.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
72.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
72.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
71.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
71.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
71.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
71.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
70.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
70.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
70.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
69.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
69.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
69.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
69.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
69.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
69.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
68.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
68.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
68.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
68.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
68.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
68.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
68.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
68.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
67.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
67.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
67.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
65.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
65.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
65.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
65.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
65.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
65.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
64.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
64.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
64.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
64.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
64.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
64.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
63.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
63.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
63.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
62.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
62.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
62.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
62.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
61.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
61.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
61.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
61.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
61.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
60.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
60.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
59.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
56.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
56.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
55.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
54.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
53.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
53.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
53.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
52.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
50.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
50.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
50.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
49.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
48.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
48.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
48.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
48.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
47.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
45.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
42.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
38.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
35.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
33.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
26.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
22.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
13.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
DBNDD2 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
125.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
398.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
264.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
254.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
229.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
228.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
227.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
221.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
210.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
198.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
186.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
183.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
176.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
172.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
172.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
171.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
170.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
170.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
161.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
159.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
158.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
157.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
157.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
155.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
150.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
147.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
147.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
146.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
145.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
143.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
143.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
135.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
134.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
133.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
132.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
126.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
124.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
124.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
122.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
120.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
119.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
119.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
119.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
117.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
117.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
116.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
116.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
116.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
114.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
112.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
110.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
106.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
106.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
103.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
99.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
99.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
99.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
98.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
97.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
95.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
94.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
93.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
91.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
89.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
86.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
86.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
85.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
85.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
83.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
83.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
81.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
81.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
80.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
76.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
75.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
74.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
73.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
71.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
63.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
61.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
53.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
37.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 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.
DBNDD2 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
87.0
Number of samples
207
Samples
Sample
Description
TPM
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
321.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
214.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
209.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
200.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
178.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
171.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
169.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
162.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
157.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
148.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
144.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
139.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
135.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
133.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
132.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
132.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
131.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
129.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
124.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
123.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
119.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
119.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
119.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
119.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
119.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
117.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
117.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
115.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
115.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
115.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
114.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
114.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
113.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
113.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
112.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
112.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
112.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
112.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
108.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
108.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
108.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
108.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
107.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
107.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
107.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
106.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
105.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
104.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
103.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
102.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
102.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
102.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
102.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
102.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
100.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
100.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
100.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
99.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
99.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
99.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
98.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
98.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
98.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
98.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
97.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
97.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
97.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
96.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
96.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
95.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
95.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
94.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
94.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
93.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
93.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
92.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
92.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
92.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
92.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
92.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
91.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
91.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
91.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
91.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
91.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
90.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
90.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
89.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
89.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
88.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
88.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
87.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
87.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
86.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
85.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
84.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
84.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
84.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
83.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
83.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
82.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
82.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
81.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
81.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
81.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
81.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
81.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
80.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
80.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
80.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
78.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
77.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
76.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
76.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
76.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
75.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
74.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
73.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
73.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
72.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
72.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
72.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
71.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
70.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
69.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
69.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
69.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
68.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
68.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
68.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
68.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
68.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
67.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
67.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
67.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
67.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
66.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
66.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
65.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
64.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
64.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
64.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
64.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
64.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
62.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
58.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
56.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
56.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
56.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
54.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
43.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
