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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.
MORF4L1 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
176.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
348.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
338.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
335.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
333.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
324.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
318.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
316.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
312.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
311.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
305.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
294.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
291.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
291.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
289.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
289.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
289.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
288.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
287.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
286.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
278.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
275.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
274.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
272.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
271.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
270.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
268.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
267.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
263.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
258.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
256.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
255.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
254.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
253.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
252.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
251.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
250.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
249.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
246.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
246.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
245.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
242.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
240.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
239.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
239.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
238.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
237.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
235.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
235.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
234.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
232.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
232.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
231.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
231.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
224.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
223.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
223.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
222.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
222.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
222.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
221.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
217.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
217.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
215.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
214.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
214.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
213.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
213.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
211.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
210.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
208.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
208.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
208.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
208.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
207.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
206.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
205.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
204.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
203.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
202.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
202.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
201.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
200.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
200.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
200.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
199.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
198.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
198.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
197.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
196.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
195.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
195.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
195.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
194.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
194.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
193.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
193.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
193.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
193.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
192.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
189.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
189.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
189.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
188.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
187.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
187.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
187.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
187.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
186.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
186.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
185.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
185.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
185.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
183.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
183.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
182.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
182.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
181.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
181.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
180.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
179.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
179.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
178.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
177.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
177.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
176.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
175.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
175.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
174.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
174.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
173.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
172.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
171.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
170.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
169.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
169.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
169.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
168.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
168.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
167.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
167.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
164.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
164.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
164.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
163.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
162.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
162.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
162.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
162.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
160.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
156.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
156.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
155.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
154.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
153.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
152.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
150.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
150.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
150.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
150.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
149.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
149.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
149.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
149.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
148.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
147.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
146.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
145.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
144.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
143.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
142.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
141.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
140.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
140.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
139.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
139.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
138.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
136.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
136.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
136.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
135.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
135.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
134.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
133.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
132.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
131.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
130.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
129.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
127.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
127.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
127.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
127.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
126.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
126.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
125.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
124.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
124.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
124.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
122.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
122.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
120.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
119.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
118.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
118.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
117.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
116.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
116.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
115.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
113.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
111.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
110.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
108.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
107.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
107.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
107.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
107.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
105.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
104.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
103.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
103.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
103.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
103.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
102.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
102.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
101.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
100.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
98.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
98.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
97.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
95.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
95.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
94.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
89.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
88.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
85.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
85.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
84.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
84.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
84.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
81.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
81.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
74.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
63.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
63.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
63.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
62.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
62.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
60.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
56.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
MORF4L1 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
158.4
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
357.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
321.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
299.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
297.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
286.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
273.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
273.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
269.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
259.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
254.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
254.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
252.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
251.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
246.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
244.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
242.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
242.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
242.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
236.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
236.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
236.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
235.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
235.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
233.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
231.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
231.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
229.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
229.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
229.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
228.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
226.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
226.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
224.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
223.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
223.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
222.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
222.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
222.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
221.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
221.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
220.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
220.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
220.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
219.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
218.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
217.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
216.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
216.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
216.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
215.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
214.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
210.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
210.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
209.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
209.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
208.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
207.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
206.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
204.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
203.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
202.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
201.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
201.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
201.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
200.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
199.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
199.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
199.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
198.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
198.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
198.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
198.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
197.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
197.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
196.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
196.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
195.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
194.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
194.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
194.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
193.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
193.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
193.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
193.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
193.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
193.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
192.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
192.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
192.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
192.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
190.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
190.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
190.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
190.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
190.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
189.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
189.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
189.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
188.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
188.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
188.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
187.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
187.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
186.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
186.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
186.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
186.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
186.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
185.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
185.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
185.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
184.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
183.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
183.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
182.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
182.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
182.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
182.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
181.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
180.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
180.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
180.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
180.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
180.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
179.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
178.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
178.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
177.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
177.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
176.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
176.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
176.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
175.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
175.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
175.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
174.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
173.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
173.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
173.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
173.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
173.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
172.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
172.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
171.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
171.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
171.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
170.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
170.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
170.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
170.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
170.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
170.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
170.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
170.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
170.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
170.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
169.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
169.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
169.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
169.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
169.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
169.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
168.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
168.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
168.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
168.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
168.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
167.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
167.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
167.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
167.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
167.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
167.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
166.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
166.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
166.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
166.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
166.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
165.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
165.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
165.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
165.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
165.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
165.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
165.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
165.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
165.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
164.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
163.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
163.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
163.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
163.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
163.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
162.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
162.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
162.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
162.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
162.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
161.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
161.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
161.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
161.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
161.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
161.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
161.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
161.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
161.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
160.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
160.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
160.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
160.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
160.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
159.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
159.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
159.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
159.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
159.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
159.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
159.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
159.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
158.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
158.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
158.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
158.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
157.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
157.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
157.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
157.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
157.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
157.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
157.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
157.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
156.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
156.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
156.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
156.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
156.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
156.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
155.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
155.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
155.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
155.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
155.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
154.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
154.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
154.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
154.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
154.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
154.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
154.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
154.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
153.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
153.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
153.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
153.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
153.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
153.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
152.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
152.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
152.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
152.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
152.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
152.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
152.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
152.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
152.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
152.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
151.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
151.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
150.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
150.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
150.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
150.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
150.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
149.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
149.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
149.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
149.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
149.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
148.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
148.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
148.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
148.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
148.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
148.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
148.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
147.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
147.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
147.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
147.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
147.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
147.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
147.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
146.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
146.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
146.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
146.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
146.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
146.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
146.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
146.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
145.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
145.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
145.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
145.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
145.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
144.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
144.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
144.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
144.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
144.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
144.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
144.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
144.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
143.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
143.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
143.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
143.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
143.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
143.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
142.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
142.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
142.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
142.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
142.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
142.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
141.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
141.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
141.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
141.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
141.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
141.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
141.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
141.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
140.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
140.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
140.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
140.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
140.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
140.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
140.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
139.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
139.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
139.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
139.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
139.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
139.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
139.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
138.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
138.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
137.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
137.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
136.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
136.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
136.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
136.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
135.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
135.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
135.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
135.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
135.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
135.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
133.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
133.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
133.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
133.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
132.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
132.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
132.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
132.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
132.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
132.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
131.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
131.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
131.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
131.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
131.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
130.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
130.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
129.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
129.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
129.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
128.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
128.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
127.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
127.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
127.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
127.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
126.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
126.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
126.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
126.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
125.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
125.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
125.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
125.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
124.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
124.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
124.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
124.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
124.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
123.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
123.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
122.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
121.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
121.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
121.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
121.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
120.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
120.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
119.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
118.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
118.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
118.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
117.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
117.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
117.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
117.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
116.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
116.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
116.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
116.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
115.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
114.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
114.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
114.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
114.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
112.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
112.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
112.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
111.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
111.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
111.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
111.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
109.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
109.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
109.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
108.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
107.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
107.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
106.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
106.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
106.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
106.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
106.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
105.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
105.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
104.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
104.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
103.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
103.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
102.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
102.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
100.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
99.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
99.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
97.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
96.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
96.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
95.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
95.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
95.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
93.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
92.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
92.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
91.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
91.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
89.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
89.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
89.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
88.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
86.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
85.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
85.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
83.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
83.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
82.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
81.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
77.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
77.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
76.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
69.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
68.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.6
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.
MORF4L1 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
181.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
423.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
349.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
330.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
328.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
323.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
293.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
286.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
281.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
280.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
273.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
270.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
268.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
263.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
252.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
252.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
249.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
241.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
240.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
240.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
238.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
237.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
235.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
235.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
225.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
224.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
213.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
210.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
209.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
204.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
199.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
197.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
197.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
197.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
196.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
195.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
194.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
194.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
191.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
186.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
185.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
185.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
184.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
183.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
181.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
180.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
178.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
178.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
176.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
175.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
173.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
168.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
167.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
164.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
163.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
157.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
155.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
148.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
147.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
141.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
140.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
139.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
136.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
136.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
135.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
130.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
129.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
128.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
127.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
124.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
123.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
119.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
118.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
116.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
111.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
107.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
99.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
99.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
94.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
91.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
89.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
89.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
88.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
85.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
73.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MORF4L1 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
142.7
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
380.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
260.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
234.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
226.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
218.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
218.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
216.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
207.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
205.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
201.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
199.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
192.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
190.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
188.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
187.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
186.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
185.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
185.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
185.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
184.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
183.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
183.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
183.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
183.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
182.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
182.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
182.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
181.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
181.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
181.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
180.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
180.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
180.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
180.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
179.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
176.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
175.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
173.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
172.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
172.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
172.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
171.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
171.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
171.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
170.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
170.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
170.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
169.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
168.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
167.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
167.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
165.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
165.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
165.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
164.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
163.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
163.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
162.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
162.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
162.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
162.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
161.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
161.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
160.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
160.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
160.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
159.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
157.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
156.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
153.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
153.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
151.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
151.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
151.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
151.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
150.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
150.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
149.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
149.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
148.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
148.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
148.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
148.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
147.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
147.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
147.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
147.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
147.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
146.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
146.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
146.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
146.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
145.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
145.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
144.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
144.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
144.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
144.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
143.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
143.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
142.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
141.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
140.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
140.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
139.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
139.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
139.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
139.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
139.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
138.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
138.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
138.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
138.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
138.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
137.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
135.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
135.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
135.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
134.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
134.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
134.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
133.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
132.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
132.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
132.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
131.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
131.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
130.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
130.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
130.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
130.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
130.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
129.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
129.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
128.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
128.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
128.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
126.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
126.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
126.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
125.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
125.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
124.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
123.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
123.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
123.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
123.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
123.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
122.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
122.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
122.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
121.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
120.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
120.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
119.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
119.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
116.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
116.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
115.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
115.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
115.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
114.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
113.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
113.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
112.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
111.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
111.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
109.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
107.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
107.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
107.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
107.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
107.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
106.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
105.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
105.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
105.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
105.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
104.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
104.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
103.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
103.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
101.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
100.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
100.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
99.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
98.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
94.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
93.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
93.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
92.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
92.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
90.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
88.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
87.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
86.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
85.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
85.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
85.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
84.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
79.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
76.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
74.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
67.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
63.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.