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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.
HNRNPU 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
155.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
271.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
242.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
240.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
238.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
231.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
230.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
229.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
228.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
228.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
227.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
218.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
218.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
217.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
217.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
216.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
216.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
215.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
211.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
211.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
209.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
206.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
206.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
205.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
204.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
204.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
203.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
202.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
198.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
197.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
195.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
193.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
192.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
191.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
191.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
191.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
191.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
191.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
189.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
189.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
188.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
188.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
187.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
187.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
187.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
186.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
186.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
185.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
184.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
183.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
183.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
183.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
183.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
183.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
182.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
182.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
181.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
180.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
180.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
180.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
179.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
177.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
177.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
176.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
176.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
175.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
175.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
175.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
173.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
173.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
173.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
172.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
172.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
171.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
171.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
170.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
170.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
170.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
169.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
169.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
169.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
169.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
169.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
167.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
167.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
167.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
167.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
167.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
167.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
166.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
166.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
165.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
165.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
165.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
164.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
164.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
163.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
162.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
162.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
161.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
160.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
160.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
160.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
160.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
160.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
159.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
159.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
159.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
158.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
158.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
157.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
157.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
157.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
157.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
157.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
156.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
156.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
155.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
155.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
155.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
155.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
155.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
155.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
154.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
154.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
154.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
152.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
152.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
152.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
151.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
151.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
151.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
150.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
149.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
149.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
149.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
149.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
148.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
148.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
148.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
148.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
147.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
147.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
146.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
146.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
146.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
146.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
146.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
145.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
145.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
145.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
144.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
144.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
144.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
144.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
144.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
143.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
143.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
142.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
142.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
142.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
141.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
140.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
140.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
140.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
140.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
140.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
140.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
140.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
139.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
139.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
139.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
138.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
138.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
137.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
137.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
136.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
136.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
136.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
136.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
136.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
135.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
135.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
135.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
134.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
134.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
134.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
133.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
133.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
133.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
131.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
131.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
131.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
131.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
131.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
130.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
130.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
129.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
128.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
127.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
126.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
126.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
126.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
126.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
125.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
125.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
124.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
124.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
124.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
123.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
123.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
122.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
122.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
122.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
121.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
121.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
121.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
121.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
120.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
120.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
120.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
117.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
117.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
117.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
116.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
114.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
113.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
113.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
113.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
113.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
113.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
113.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
111.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
110.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
110.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
109.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
109.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
109.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
108.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
107.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
106.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
106.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
106.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
106.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
100.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
99.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
99.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
96.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
92.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
89.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
86.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
84.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
80.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
63.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
HNRNPU 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
130.2
Number of samples
486
Samples
Sample
Description
TPM
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
220.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
207.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
199.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
198.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
198.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
195.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
193.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
191.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
189.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
189.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
189.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
188.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
186.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
186.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
186.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
184.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
182.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
180.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
180.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
177.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
177.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
177.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
176.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
175.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
175.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
174.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
173.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
172.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
172.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
172.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
172.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
171.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
170.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
170.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
169.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
169.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
169.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
169.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
169.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
168.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
168.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
168.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
168.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
168.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
167.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
167.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
167.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
167.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
166.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
165.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
164.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
164.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
164.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
164.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
164.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
163.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
163.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
163.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
162.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
161.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
161.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
161.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
161.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
160.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
160.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
159.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
159.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
159.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
159.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
159.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
158.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
157.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
157.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
157.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
155.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
155.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
155.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
155.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
155.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
155.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
155.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
154.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
154.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
154.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
154.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
154.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
154.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
153.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
153.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
152.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
152.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
152.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
152.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
152.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
152.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
152.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
151.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
151.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
151.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
150.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
150.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
150.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
150.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
149.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
149.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
149.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
149.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
148.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
148.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
148.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
148.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
147.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
147.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
147.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
147.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
146.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
146.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
146.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
146.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
146.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
146.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
146.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
146.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
145.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
145.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
144.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
144.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
144.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
144.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
144.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
143.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
143.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
143.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
143.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
142.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
142.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
142.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
142.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
142.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
142.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
142.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
142.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
142.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
141.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
141.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
141.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
141.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
141.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
141.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
141.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
140.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
140.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
140.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
140.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
139.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
139.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
139.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
139.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
139.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
139.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
139.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
138.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
138.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
138.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
138.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
138.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
138.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
138.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
138.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
137.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
137.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
137.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
137.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
137.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
137.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
136.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
136.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
136.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
136.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
136.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
136.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
135.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
135.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
135.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
135.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
135.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
135.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
135.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
135.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
134.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
134.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
134.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
134.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
134.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
134.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
133.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
133.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
133.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
133.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
133.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
133.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
132.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
132.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
132.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
132.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
132.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
132.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
132.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
131.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
131.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
131.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
131.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
131.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
131.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
131.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
131.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
130.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
130.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
130.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
130.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
130.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
130.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
130.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
130.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
129.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
129.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
129.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
129.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
129.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
129.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
129.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
129.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
129.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
128.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
128.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
128.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
128.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
128.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
128.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
128.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
128.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
128.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
128.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
127.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
127.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
127.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
127.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
127.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
126.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
126.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
126.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
126.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
126.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
126.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
125.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
125.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
125.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
125.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
125.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
125.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
125.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
125.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
125.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
125.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
125.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
125.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
125.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
125.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
124.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
124.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
124.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
124.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
124.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
124.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
124.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
123.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
123.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
123.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
123.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
123.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
123.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
123.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
123.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
122.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
122.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
122.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
122.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
122.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
122.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
121.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
121.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
121.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
121.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
121.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
121.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
121.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
121.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
121.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
120.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
120.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
120.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
120.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
120.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
120.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
119.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
119.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
119.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
119.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
119.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
119.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
119.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
119.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
119.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
118.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
118.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
118.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
118.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
118.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
118.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
118.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
118.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
118.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
118.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
117.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
117.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
117.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
117.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
117.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
117.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
117.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
117.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
117.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
117.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
116.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
116.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
116.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
116.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
116.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
116.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
116.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
116.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
116.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
116.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
116.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
115.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
115.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
115.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
115.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
115.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
115.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
115.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
115.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
115.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
115.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
114.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
114.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
114.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
114.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
114.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
114.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
114.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
114.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
114.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
114.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
114.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
113.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
113.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
113.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
113.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
113.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
113.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
113.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
113.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
113.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
112.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
112.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
112.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
112.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
112.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
112.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
112.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
112.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
112.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
111.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
111.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
111.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
111.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
110.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
110.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
110.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
110.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
110.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
110.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
110.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
110.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
110.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
109.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
109.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
109.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
109.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
109.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
109.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
109.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
108.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
108.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
108.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
108.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
108.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
108.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
108.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
107.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
107.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
107.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
107.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
107.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
106.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
106.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
106.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
106.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
106.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
105.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
105.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
105.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
105.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
104.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
104.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
104.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
104.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
103.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
103.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
102.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
101.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
100.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
100.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
100.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
100.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
100.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
100.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
99.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
99.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
98.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
98.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
98.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
98.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
98.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
98.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
97.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
97.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
97.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
97.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
96.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
94.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
94.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
94.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
94.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
94.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
94.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
93.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
93.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
93.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
93.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
92.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
90.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
89.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
88.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
87.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
87.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
87.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
86.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
84.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
83.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
83.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
82.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
82.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
81.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
80.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
80.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
77.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
72.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HNRNPU 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
158.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
285.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
260.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
241.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
235.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
234.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
227.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
216.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
215.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
214.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
210.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
209.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
206.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
206.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
201.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
201.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
197.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
194.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
192.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
191.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
186.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
186.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
186.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
186.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
183.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
181.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
181.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
180.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
177.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
173.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
171.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
168.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
168.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
167.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
167.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
165.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
164.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
163.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
163.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
163.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
163.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
162.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
161.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
161.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
158.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
158.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
158.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
157.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
156.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
156.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
155.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
153.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
151.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
149.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
149.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
147.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
145.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
143.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
143.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
142.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
140.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
136.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
135.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
134.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
133.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
133.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
131.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
130.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
129.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
129.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
128.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
122.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
120.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
117.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
116.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
112.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
108.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
108.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
107.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
107.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
106.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
101.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
94.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
90.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
87.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
84.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
76.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
63.0
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.
HNRNPU 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
117.3
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
191.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
181.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
177.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
176.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
173.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
172.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
171.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
169.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
169.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
166.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
163.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
162.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
161.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
159.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
159.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
157.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
153.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
153.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
151.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
151.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
149.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
148.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
147.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
147.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
147.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
146.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
146.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
146.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
144.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
143.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
142.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
142.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
141.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
140.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
138.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
138.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
136.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
136.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
136.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
135.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
135.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
135.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
134.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
133.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
133.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
133.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
133.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
132.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
132.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
131.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
131.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
130.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
130.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
130.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
130.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
130.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
129.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
129.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
129.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
128.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
128.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
128.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
127.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
127.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
127.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
127.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
127.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
126.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
126.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
125.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
125.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
125.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
125.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
125.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
124.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
124.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
124.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
124.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
124.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
123.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
123.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
123.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
122.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
122.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
121.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
121.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
121.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
120.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
120.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
120.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
120.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
119.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
119.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
119.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
119.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
119.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
118.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
118.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
118.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
117.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
117.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
117.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
116.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
116.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
116.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
116.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
115.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
115.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
115.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
115.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
115.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
114.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
114.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
113.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
113.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
113.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
112.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
112.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
111.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
111.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
111.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
111.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
111.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
110.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
109.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
109.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
109.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
108.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
108.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
108.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
108.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
107.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
107.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
106.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
106.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
106.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
106.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
106.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
105.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
104.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
104.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
104.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
104.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
103.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
103.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
103.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
103.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
102.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
102.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
102.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
102.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
101.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
101.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
101.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
100.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
100.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
100.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
100.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
100.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
100.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
100.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
99.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
98.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
98.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
98.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
96.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
96.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
95.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
95.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
95.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
95.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
94.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
94.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
93.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
93.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
92.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
92.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
91.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
91.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
91.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
89.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
89.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
88.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
88.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
87.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
86.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
86.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
84.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
83.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
83.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
82.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
82.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
81.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
80.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
77.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
77.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
77.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
76.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
75.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
73.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
73.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
72.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
69.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
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Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
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Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
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.