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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.
MVP 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
182.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
372.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
371.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
366.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
353.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
346.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
342.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
333.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
328.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
327.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
324.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
315.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
308.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
307.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
306.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
303.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
296.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
292.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
286.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
284.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
282.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
281.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
278.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
275.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
274.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
272.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
271.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
268.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
265.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
262.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
262.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
257.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
253.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
251.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
250.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
250.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
250.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
249.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
247.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
245.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
241.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
240.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
238.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
238.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
238.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
238.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
237.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
237.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
237.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
236.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
236.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
235.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
234.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
234.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
231.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
230.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
230.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
230.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
229.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
228.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
228.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
226.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
226.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
226.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
225.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
224.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
224.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
221.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
219.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
219.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
219.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
215.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
214.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
214.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
213.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
212.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
211.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
210.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
209.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
209.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
207.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
206.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
205.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
205.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
204.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
203.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
202.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
201.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
200.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
199.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
199.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
198.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
196.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
196.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
196.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
193.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
193.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
192.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
191.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
191.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
191.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
191.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
190.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
189.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
189.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
189.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
189.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
188.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
187.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
187.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
185.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
184.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
183.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
183.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
183.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
182.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
182.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
181.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
180.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
179.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
179.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
178.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
178.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
177.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
177.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
176.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
174.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
172.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
171.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
171.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
170.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
170.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
169.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
169.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
168.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
168.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
168.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
167.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
167.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
166.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
166.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
165.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
165.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
165.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
164.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
163.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
163.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
163.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
162.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
162.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
161.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
161.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
161.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
160.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
160.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
160.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
160.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
158.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
158.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
157.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
156.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
155.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
155.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
153.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
153.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
152.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
152.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
152.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
151.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
151.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
149.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
149.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
148.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
146.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
143.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
142.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
142.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
142.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
142.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
141.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
141.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
141.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
140.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
140.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
139.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
139.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
138.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
138.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
137.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
137.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
136.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
135.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
135.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
134.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
134.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
134.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
133.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
132.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
131.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
130.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
129.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
129.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
128.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
128.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
127.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
127.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
126.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
126.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
124.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
121.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
119.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
118.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
118.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
118.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
117.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
116.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
116.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
114.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
114.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
113.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
113.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
112.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
112.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
110.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
110.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
109.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
109.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
109.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
106.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
105.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
105.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
103.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
103.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
103.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
101.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
101.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
99.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
98.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
94.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
93.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
90.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
90.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
89.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
87.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
85.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
80.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
78.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
77.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
76.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
64.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
61.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
61.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
60.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MVP 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
173.9
Number of samples
486
Samples
Sample
Description
TPM
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
518.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
339.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
339.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
319.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
297.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
296.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
295.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
287.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
283.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
276.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
276.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
276.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
271.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
268.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
262.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
261.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
257.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
257.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
252.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
250.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
248.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
247.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
246.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
246.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
246.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
245.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
243.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
243.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
242.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
241.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
241.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
240.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
240.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
240.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
239.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
237.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
236.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
235.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
235.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
233.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
233.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
233.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
233.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
232.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
232.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
231.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
231.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
230.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
230.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
230.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
229.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
229.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
228.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
227.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
227.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
226.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
225.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
225.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
224.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
224.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
224.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
223.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
223.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
223.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
223.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
223.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
222.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
222.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
222.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
222.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
221.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
221.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
221.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
220.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
220.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
219.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
219.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
219.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
219.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
218.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
218.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
217.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
217.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
216.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
216.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
215.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
214.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
214.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
214.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
213.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
213.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
213.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
213.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
212.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
212.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
212.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
212.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
211.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
210.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
210.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
210.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
210.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
210.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
208.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
208.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
208.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
208.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
207.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
207.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
207.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
207.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
207.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
207.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
207.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
207.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
206.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
206.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
206.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
205.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
205.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
205.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
205.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
204.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
204.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
203.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
203.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
203.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
202.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
202.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
202.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
202.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
202.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
201.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
201.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
201.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
200.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
200.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
200.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
199.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
197.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
197.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
197.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
197.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
196.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
196.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
196.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
196.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
195.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
195.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
194.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
194.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
192.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
191.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
191.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
191.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
191.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
191.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
190.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
190.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
189.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
189.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
188.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
188.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
188.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
188.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
188.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
187.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
187.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
187.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
187.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
187.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
187.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
187.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
187.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
187.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
186.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
186.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
186.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
186.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
186.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
186.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
186.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
186.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
185.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
185.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
185.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
185.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
185.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
185.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
184.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
184.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
184.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
184.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
184.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
183.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
183.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
182.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
182.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
182.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
182.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
182.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
182.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
182.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
182.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
181.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
181.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
181.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
180.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
180.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
180.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
180.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
180.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
179.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
179.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
179.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
179.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
178.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
178.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
178.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
178.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
177.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
177.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
176.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
176.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
176.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
175.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
175.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
174.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
174.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
174.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
173.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
173.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
173.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
172.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
172.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
172.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
172.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
171.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
171.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
171.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
171.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
170.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
170.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
170.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
170.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
169.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
169.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
168.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
168.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
168.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
167.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
167.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
167.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
167.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
167.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
166.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
166.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
166.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
166.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
166.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
165.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
165.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
165.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
165.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
165.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
165.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
164.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
164.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
164.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
164.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
163.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
163.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
163.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
163.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
163.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
162.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
162.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
162.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
162.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
161.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
161.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
161.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
161.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
161.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
160.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
160.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
160.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
160.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
160.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
159.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
159.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
159.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
159.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
158.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
158.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
157.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
157.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
157.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
157.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
156.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
155.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
154.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
154.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
154.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
154.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
154.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
154.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
154.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
153.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
153.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
153.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
153.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
153.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
152.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
152.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
152.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
152.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
152.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
151.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
151.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
151.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
150.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
150.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
150.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
150.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
150.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
149.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
149.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
149.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
149.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
148.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
148.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
148.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
147.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
147.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
146.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
146.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
146.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
146.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
146.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
146.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
146.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
145.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
145.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
145.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
145.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
144.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
144.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
144.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
143.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
143.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
143.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
143.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
142.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
142.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
142.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
142.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
142.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
142.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
141.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
141.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
141.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
141.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
141.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
141.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
141.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
140.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
140.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
140.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
140.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
140.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
140.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
139.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
139.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
139.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
139.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
138.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
138.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
138.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
137.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
137.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
136.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
136.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
136.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
135.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
135.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
134.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
134.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
134.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
134.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
134.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
134.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
133.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
133.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
133.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
132.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
132.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
132.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
132.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
131.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
131.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
131.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
131.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
131.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
131.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
130.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
130.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
130.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
130.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
129.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
129.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
129.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
128.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
128.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
128.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
128.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
127.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
127.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
127.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
126.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
126.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
126.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
125.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
125.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
125.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
125.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
125.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
124.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
123.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
123.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
123.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
123.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
123.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
122.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
122.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
121.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
121.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
120.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
120.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
119.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
119.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
118.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
118.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
118.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
116.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
115.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
115.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
115.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
114.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
114.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
113.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
113.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
112.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
111.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
111.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
109.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
107.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
105.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
105.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
105.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
104.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
103.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
101.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
101.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
101.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
101.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
100.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
100.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
99.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
99.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
97.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
97.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
95.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
94.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
93.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
91.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
86.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
85.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
63.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.3
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.
MVP 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
161.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
324.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
298.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
288.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
266.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
253.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
249.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
248.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
240.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
239.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
231.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
228.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
224.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
223.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
214.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
213.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
208.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
205.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
203.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
202.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
197.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
194.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
193.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
193.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
192.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
189.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
188.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
183.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
183.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
179.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
178.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
177.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
176.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
175.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
175.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
174.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
173.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
172.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
170.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
168.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
168.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
163.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
161.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
160.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
156.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
154.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
153.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
153.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
152.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
150.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
149.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
148.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
148.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
145.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
142.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
142.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
140.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
138.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
136.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
136.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
136.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
135.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
135.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
134.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
132.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
132.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
132.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
128.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
122.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
121.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
115.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
114.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
110.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
109.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
106.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
102.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
102.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
101.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
98.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
95.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
92.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
91.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
90.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
81.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
67.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
63.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
48.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
MVP 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
171.4
Number of samples
207
Samples
Sample
Description
TPM
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
378.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
375.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
320.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
313.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
312.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
305.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
282.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
280.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
276.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
273.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
266.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
265.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
262.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
251.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
247.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
246.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
244.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
244.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
237.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
234.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
228.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
228.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
228.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
228.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
227.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
226.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
225.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
224.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
223.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
221.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
220.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
219.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
216.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
216.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
215.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
211.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
211.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
211.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
210.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
209.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
209.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
206.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
206.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
204.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
204.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
203.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
203.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
201.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
200.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
200.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
199.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
198.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
198.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
198.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
197.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
197.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
196.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
196.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
195.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
194.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
194.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
194.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
194.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
190.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
189.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
188.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
187.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
187.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
186.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
185.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
185.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
183.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
183.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
183.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
182.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
181.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
181.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
181.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
181.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
181.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
180.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
180.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
180.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
178.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
178.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
177.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
176.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
176.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
174.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
174.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
174.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
174.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
172.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
170.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
168.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
167.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
166.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
165.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
164.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
164.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
164.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
164.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
163.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
161.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
161.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
161.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
160.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
160.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
160.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
159.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
159.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
159.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
159.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
159.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
158.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
158.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
157.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
157.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
156.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
155.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
154.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
154.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
152.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
152.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
151.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
151.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
151.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
149.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
149.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
149.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
149.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
148.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
148.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
148.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
148.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
147.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
146.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
146.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
144.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
144.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
144.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
144.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
143.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
143.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
143.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
142.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
142.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
142.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
141.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
141.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
141.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
140.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
139.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
139.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
139.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
139.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
138.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
138.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
137.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
136.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
133.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
132.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
131.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
131.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
131.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
130.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
130.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
129.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
129.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
128.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
128.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
128.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
127.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
125.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
125.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
124.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
124.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
123.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
122.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
121.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
121.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
120.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
119.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
119.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
118.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
116.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
115.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
112.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
112.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
110.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
110.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
108.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
105.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
102.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
101.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
98.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
98.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
97.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
93.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
86.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
86.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
84.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
79.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
71.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.7
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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
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
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.