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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.
COPE 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
173.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
328.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
318.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
283.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
279.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
278.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
278.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
276.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
267.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
267.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
264.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
262.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
261.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
254.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
251.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
251.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
251.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
243.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
238.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
237.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
236.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
236.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
235.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
233.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
233.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
233.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
232.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
231.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
229.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
229.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
226.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
224.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
222.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
219.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
215.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
214.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
213.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
213.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
213.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
211.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
209.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
209.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
208.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
207.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
207.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
206.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
206.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
206.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
205.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
204.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
204.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
203.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
203.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
202.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
202.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
201.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
201.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
199.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
199.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
199.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
198.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
198.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
197.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
197.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
196.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
195.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
195.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
194.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
193.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
193.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
193.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
192.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
192.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
191.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
191.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
191.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
191.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
191.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
191.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
190.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
190.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
189.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
189.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
189.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
187.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
187.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
187.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
186.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
186.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
185.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
184.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
184.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
183.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
183.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
183.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
183.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
183.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
182.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
181.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
180.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
179.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
178.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
178.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
178.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
177.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
177.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
177.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
177.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
176.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
176.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
175.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
175.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
175.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
175.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
175.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
175.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
174.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
174.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
174.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
174.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
173.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
173.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
173.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
173.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
172.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
172.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
171.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
171.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
169.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
168.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
168.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
168.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
168.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
167.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
167.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
167.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
166.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
166.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
165.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
165.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
165.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
165.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
165.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
164.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
164.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
163.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
163.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
161.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
161.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
160.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
160.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
160.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
159.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
158.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
158.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
158.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
158.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
157.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
157.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
157.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
157.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
157.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
156.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
156.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
156.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
156.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
156.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
156.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
155.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
155.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
155.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
154.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
154.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
153.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
153.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
153.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
152.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
152.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
152.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
152.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
151.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
151.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
151.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
151.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
151.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
151.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
151.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
151.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
150.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
150.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
150.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
150.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
150.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
150.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
149.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
149.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
147.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
147.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
147.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
144.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
143.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
143.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
143.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
141.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
141.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
139.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
139.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
139.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
139.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
139.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
138.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
137.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
137.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
134.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
134.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
133.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
133.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
132.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
130.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
130.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
130.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
130.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
129.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
129.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
128.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
127.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
126.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
126.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
126.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
125.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
123.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
123.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
123.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
122.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
121.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
119.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
117.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
117.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
117.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
116.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
114.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
113.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
111.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
108.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
107.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
106.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
104.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
103.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
91.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
90.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
90.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
77.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
57.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
COPE 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
94.7
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
196.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
190.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
168.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
168.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
168.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
167.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
160.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
155.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
150.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
149.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
148.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
147.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
145.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
145.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
145.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
144.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
143.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
142.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
142.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
141.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
141.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
141.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
140.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
140.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
139.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
139.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
138.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
138.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
137.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
137.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
137.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
137.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
136.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
135.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
134.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
133.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
132.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
132.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
132.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
132.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
131.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
130.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
130.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
130.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
129.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
129.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
129.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
128.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
128.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
128.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
127.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
127.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
126.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
126.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
126.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
126.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
125.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
125.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
125.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
125.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
125.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
125.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
125.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
124.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
124.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
123.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
123.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
122.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
121.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
120.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
119.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
119.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
119.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
119.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
119.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
118.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
118.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
118.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
118.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
117.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
117.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
117.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
117.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
116.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
116.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
116.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
116.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
116.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
115.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
115.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
115.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
115.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
115.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
114.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
114.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
114.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
113.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
113.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
113.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
112.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
112.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
112.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
112.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
112.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
112.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
112.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
112.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
112.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
111.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
111.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
111.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
111.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
110.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
110.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
110.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
110.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
109.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
109.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
109.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
109.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
109.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
109.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
109.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
109.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
108.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
108.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
108.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
108.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
108.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
108.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
107.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
107.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
107.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
107.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
107.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
107.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
107.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
107.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
107.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
106.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
106.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
106.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
106.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
106.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
106.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
106.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
106.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
105.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
105.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
105.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
105.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
105.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
105.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
105.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
105.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
105.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
104.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
104.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
104.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
104.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
104.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
104.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
104.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
103.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
103.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
103.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
103.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
102.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
102.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
102.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
102.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
101.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
101.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
101.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
100.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
100.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
100.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
100.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
100.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
100.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
100.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
100.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
99.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
99.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
99.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
99.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
99.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
99.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
98.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
98.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
98.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
98.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
98.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
97.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
97.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
97.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
97.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
97.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
97.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
97.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
97.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
97.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
97.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
97.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
97.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
96.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
96.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
96.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
96.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
96.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
96.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
96.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
96.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
95.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
95.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
95.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
95.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
95.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
95.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
95.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
95.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
95.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
95.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
94.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
94.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
94.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
94.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
94.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
94.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
94.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
94.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
94.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
94.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
93.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
93.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
93.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
93.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
93.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
93.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
92.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
92.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
92.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
92.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
92.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
92.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
91.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
91.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
91.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
91.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
91.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
91.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
91.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
90.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
90.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
90.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
90.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
90.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
90.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
90.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
89.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
89.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
89.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
89.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
89.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
89.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
88.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
88.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
88.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
88.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
88.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
88.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
88.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
87.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
87.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
87.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
87.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
87.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
86.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
86.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
86.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
86.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
86.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
86.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
85.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
85.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
85.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
85.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
85.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
85.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
85.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
85.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
85.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
85.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
85.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
84.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
84.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
84.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
84.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
84.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
83.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
83.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
83.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
83.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
83.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
83.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
83.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
83.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
83.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
82.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
82.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
82.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
82.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
82.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
82.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
82.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
82.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
82.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
81.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
81.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
81.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
81.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
81.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
81.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
81.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
81.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
80.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
80.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
80.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
80.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
80.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
80.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
80.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
80.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
80.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
80.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
79.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
79.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
79.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
79.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
79.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
78.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
78.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
78.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
78.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
78.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
77.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
77.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
77.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
77.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
76.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
76.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
76.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
76.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
76.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
76.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
75.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
75.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
75.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
75.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
75.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
74.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
74.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
73.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
73.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
73.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
71.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
71.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
71.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
71.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
70.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
70.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
70.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
70.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
70.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
70.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
69.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
69.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
69.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
68.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
68.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
68.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
68.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
66.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
66.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
65.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
64.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
64.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
63.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
62.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
61.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
61.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
61.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
60.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
59.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
58.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
56.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
56.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
56.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
54.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
53.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
53.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
51.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
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.
COPE 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
156.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
252.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
234.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
234.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
232.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
228.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
227.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
220.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
216.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
216.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
212.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
211.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
208.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
206.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
205.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
202.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
200.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
197.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
195.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
188.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
186.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
186.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
185.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
185.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
184.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
183.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
182.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
180.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
178.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
178.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
176.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
175.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
174.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
173.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
173.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
173.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
168.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
167.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
166.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
165.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
165.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
164.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
156.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
154.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
154.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
152.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
151.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
151.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
150.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
147.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
147.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
145.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
144.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
142.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
142.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
141.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
139.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
139.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
138.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
135.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
131.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
131.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
130.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
129.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
128.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
127.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
126.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
122.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
122.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
121.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
120.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
119.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
119.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
118.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
118.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
117.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
111.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
109.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
108.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
105.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
104.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
99.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
94.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
91.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
90.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
90.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
79.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
COPE 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
80.9
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
150.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
149.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
146.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
146.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
144.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
131.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
131.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
131.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
130.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
125.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
123.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
118.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
117.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
116.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
114.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
113.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
113.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
112.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
111.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
111.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
111.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
110.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
109.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
109.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
107.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
106.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
106.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
106.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
105.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
105.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
104.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
104.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
104.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
103.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
101.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
101.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
100.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
99.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
99.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
97.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
97.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
97.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
96.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
96.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
96.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
96.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
95.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
95.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
94.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
94.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
93.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
93.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
93.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
92.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
92.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
91.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
91.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
91.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
91.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
91.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
90.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
89.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
89.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
89.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
89.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
89.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
89.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
89.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
88.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
88.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
88.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
87.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
87.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
87.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
87.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
86.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
86.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
86.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
85.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
85.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
85.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
85.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
84.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
84.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
84.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
83.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
83.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
83.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
82.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
81.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
80.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
80.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
80.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
79.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
79.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
79.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
79.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
78.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
78.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
78.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
77.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
77.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
76.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
76.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
76.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
75.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
75.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
75.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
75.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
75.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
74.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
74.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
74.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
73.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
73.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
72.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
72.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
72.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
72.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
71.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
71.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
70.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
70.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
70.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
68.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
67.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
67.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
67.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
66.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
66.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
66.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
66.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
66.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
65.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
65.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
64.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
64.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
61.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
61.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
59.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
57.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
57.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
57.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
55.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
54.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
52.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
51.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
50.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
50.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
34.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.