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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.
ERH 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
187.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
385.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
362.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
353.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
345.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
343.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
340.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
326.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
315.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
311.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
311.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
300.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
299.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
291.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
291.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
290.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
285.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
285.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
283.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
282.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
278.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
275.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
270.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
268.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
267.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
267.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
263.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
262.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
259.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
259.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
257.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
256.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
255.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
252.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
251.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
250.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
249.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
249.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
248.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
248.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
248.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
247.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
247.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
247.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
246.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
243.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
240.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
237.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
237.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
237.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
236.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
236.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
235.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
235.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
232.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
231.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
229.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
227.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
226.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
226.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
224.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
222.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
222.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
219.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
219.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
219.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
219.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
218.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
217.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
217.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
217.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
216.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
214.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
213.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
211.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
211.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
211.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
210.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
209.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
209.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
208.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
208.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
208.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
207.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
207.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
207.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
207.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
206.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
206.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
205.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
204.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
204.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
204.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
203.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
202.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
202.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
202.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
201.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
200.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
199.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
199.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
199.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
197.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
197.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
197.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
197.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
196.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
195.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
194.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
193.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
193.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
193.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
193.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
192.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
192.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
191.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
191.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
191.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
191.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
190.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
190.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
189.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
187.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
187.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
185.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
184.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
182.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
182.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
182.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
181.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
179.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
179.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
178.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
178.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
178.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
177.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
177.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
177.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
176.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
175.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
175.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
174.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
173.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
172.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
170.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
168.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
168.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
167.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
167.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
166.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
166.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
165.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
164.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
163.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
163.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
163.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
162.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
162.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
161.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
161.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
160.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
160.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
160.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
159.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
159.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
159.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
158.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
158.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
158.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
158.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
157.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
156.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
156.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
155.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
155.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
155.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
154.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
154.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
153.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
153.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
153.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
151.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
151.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
150.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
148.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
147.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
147.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
147.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
146.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
146.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
146.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
146.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
146.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
146.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
144.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
143.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
143.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
142.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
142.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
141.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
141.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
140.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
140.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
140.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
138.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
136.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
134.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
134.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
133.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
133.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
131.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
131.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
131.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
129.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
128.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
126.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
125.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
125.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
125.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
124.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
123.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
123.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
123.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
122.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
122.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
121.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
121.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
121.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
120.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
120.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
119.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
119.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
118.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
117.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
117.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
110.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
109.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
106.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
102.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
101.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
98.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
98.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
95.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
94.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
93.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
93.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
91.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
90.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
88.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
88.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
87.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
84.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
84.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
81.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
ERH 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
108.1
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
224.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
220.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
185.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
180.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
172.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
170.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
169.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
168.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
167.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
167.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
166.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
166.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
165.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
164.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
163.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
163.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
162.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
161.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
161.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
159.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
158.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
158.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
158.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
156.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
155.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
154.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
154.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
153.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
153.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
153.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
151.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
151.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
151.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
151.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
150.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
150.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
149.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
148.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
148.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
148.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
148.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
148.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
147.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
147.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
147.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
146.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
146.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
145.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
145.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
144.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
144.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
144.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
143.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
142.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
142.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
141.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
141.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
141.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
141.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
140.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
140.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
140.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
140.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
139.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
138.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
138.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
138.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
138.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
137.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
137.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
137.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
137.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
136.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
136.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
136.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
136.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
136.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
135.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
135.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
135.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
135.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
135.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
135.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
134.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
134.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
134.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
134.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
134.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
133.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
133.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
133.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
133.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
133.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
132.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
132.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
132.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
132.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
131.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
131.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
131.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
131.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
131.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
130.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
130.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
130.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
130.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
129.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
129.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
129.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
129.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
129.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
129.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
129.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
129.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
128.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
128.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
128.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
128.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
128.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
128.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
128.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
128.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
128.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
127.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
127.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
127.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
126.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
126.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
125.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
125.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
124.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
124.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
124.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
124.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
124.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
123.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
123.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
123.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
123.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
123.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
123.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
122.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
122.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
122.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
122.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
121.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
121.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
121.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
121.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
121.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
121.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
121.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
120.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
120.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
120.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
119.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
119.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
119.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
119.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
118.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
118.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
118.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
117.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
117.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
117.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
117.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
117.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
117.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
117.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
116.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
116.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
116.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
116.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
116.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
115.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
115.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
115.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
115.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
115.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
115.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
114.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
114.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
114.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
114.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
114.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
113.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
113.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
113.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
113.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
113.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
113.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
112.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
112.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
112.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
112.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
112.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
112.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
112.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
111.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
111.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
111.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
111.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
111.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
111.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
111.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
111.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
111.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
110.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
110.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
110.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
110.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
110.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
110.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
110.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
110.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
110.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
110.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
109.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
109.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
109.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
109.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
109.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
109.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
109.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
109.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
108.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
108.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
108.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
108.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
108.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
108.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
107.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
107.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
107.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
107.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
107.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
107.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
107.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
107.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
106.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
106.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
106.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
106.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
106.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
106.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
105.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
105.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
105.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
105.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
105.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
104.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
104.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
104.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
104.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
104.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
104.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
103.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
103.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
103.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
102.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
102.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
101.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
101.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
101.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
101.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
101.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
101.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
101.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
100.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
100.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
100.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
100.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
100.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
100.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
100.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
100.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
99.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
99.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
99.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
99.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
99.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
99.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
99.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
99.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
98.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
98.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
98.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
97.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
97.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
97.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
97.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
97.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
97.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
97.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
97.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
97.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
97.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
96.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
96.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
96.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
96.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
96.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
96.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
96.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
96.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
96.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
96.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
95.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
95.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
95.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
95.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
95.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
95.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
94.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
94.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
94.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
94.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
93.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
93.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
93.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
93.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
93.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
93.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
93.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
92.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
92.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
92.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
92.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
92.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
92.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
92.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
91.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
91.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
91.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
90.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
90.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
90.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
90.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
90.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
89.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
89.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
89.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
89.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
89.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
88.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
88.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
88.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
88.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
88.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
88.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
88.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
88.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
87.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
87.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
87.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
87.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
87.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
87.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
87.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
87.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
87.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
86.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
86.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
86.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
86.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
85.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
85.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
85.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
85.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
85.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
85.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
85.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
85.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
84.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
84.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
84.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
84.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
84.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
84.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
83.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
83.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
83.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
82.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
82.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
82.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
82.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
82.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
81.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
81.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
81.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
81.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
81.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
80.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
80.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
80.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
80.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
80.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
80.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
80.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
79.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
79.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
79.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
79.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
78.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
78.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
78.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
78.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
77.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
77.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
77.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
77.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
76.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
76.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
75.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
75.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
75.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
74.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
73.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
73.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
73.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
73.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
72.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
71.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
70.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
70.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
69.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
69.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
69.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
69.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
69.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
68.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
68.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
64.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
61.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
60.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
54.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
53.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
39.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ERH 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
182.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
348.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
308.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
291.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
291.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
290.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
275.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
266.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
266.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
266.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
263.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
261.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
257.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
252.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
251.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
244.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
235.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
231.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
231.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
227.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
219.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
217.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
208.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
208.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
207.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
204.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
204.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
200.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
200.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
200.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
199.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
199.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
198.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
197.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
197.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
195.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
192.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
192.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
190.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
188.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
182.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
182.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
182.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
178.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
176.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
176.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
172.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
170.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
169.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
169.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
167.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
165.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
163.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
163.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
161.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
159.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
158.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
157.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
157.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
155.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
154.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
154.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
153.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
153.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
153.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
153.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
152.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
152.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
151.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
149.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
149.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
148.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
148.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
135.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
126.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
122.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
120.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
116.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
114.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
113.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
113.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
112.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
107.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
105.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
104.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
92.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
79.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
72.2
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.
ERH is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
87.9
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
168.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
168.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
164.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
160.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
158.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
156.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
152.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
147.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
145.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
134.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
133.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
132.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
131.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
130.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
128.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
127.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
125.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
125.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
124.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
121.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
120.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
119.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
116.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
116.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
115.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
114.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
113.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
112.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
112.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
112.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
112.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
111.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
111.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
111.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
110.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
110.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
110.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
109.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
109.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
109.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
108.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
108.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
105.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
105.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
104.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
104.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
104.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
104.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
103.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
102.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
102.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
102.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
102.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
99.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
99.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
99.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
99.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
99.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
98.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
97.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
97.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
96.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
96.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
96.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
96.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
96.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
95.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
95.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
95.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
95.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
94.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
94.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
93.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
93.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
93.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
93.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
93.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
93.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
93.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
92.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
92.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
92.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
92.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
91.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
91.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
91.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
91.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
90.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
90.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
89.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
89.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
89.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
89.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
89.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
89.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
89.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
88.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
88.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
88.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
87.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
86.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
85.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
85.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
85.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
84.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
84.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
83.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
83.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
83.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
83.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
83.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
82.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
81.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
81.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
81.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
80.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
80.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
80.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
80.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
78.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
78.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
78.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
78.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
77.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
76.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
76.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
76.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
76.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
76.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
75.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
75.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
74.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
74.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
74.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
74.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
72.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
72.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
71.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
69.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
69.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
69.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
68.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
68.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
68.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
68.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
67.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
66.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
66.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
66.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
64.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
63.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
63.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
63.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
63.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
62.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
62.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
62.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
61.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
60.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
59.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
58.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
58.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
57.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
57.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
55.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
54.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
52.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.0
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.