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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.
SEPTIN2 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
161.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
375.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
309.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
293.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
272.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
265.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
264.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
264.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
257.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
257.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
249.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
249.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
247.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
239.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
238.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
237.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
234.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
232.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
231.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
229.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
225.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
224.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
221.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
218.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
218.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
216.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
216.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
215.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
214.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
212.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
211.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
210.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
209.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
207.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
205.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
205.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
205.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
204.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
203.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
200.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
200.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
198.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
198.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
197.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
197.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
196.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
196.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
194.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
193.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
193.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
191.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
191.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
190.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
190.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
189.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
189.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
189.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
189.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
186.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
185.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
185.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
185.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
184.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
184.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
184.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
184.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
183.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
183.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
183.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
182.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
182.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
181.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
181.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
180.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
179.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
178.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
178.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
177.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
177.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
176.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
176.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
175.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
174.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
174.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
174.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
174.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
173.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
173.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
172.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
172.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
172.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
171.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
171.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
170.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
170.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
170.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
169.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
169.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
169.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
169.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
168.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
168.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
167.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
166.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
164.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
164.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
163.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
163.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
163.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
163.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
163.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
162.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
160.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
159.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
159.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
159.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
159.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
159.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
159.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
159.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
158.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
158.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
157.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
155.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
155.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
155.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
155.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
155.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
154.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
153.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
153.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
153.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
153.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
153.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
152.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
152.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
152.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
151.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
151.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
151.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
151.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
150.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
150.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
150.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
150.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
150.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
149.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
149.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
148.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
148.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
148.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
147.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
147.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
147.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
147.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
147.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
146.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
146.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
146.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
145.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
144.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
143.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
143.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
142.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
141.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
141.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
140.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
140.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
139.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
139.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
139.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
138.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
138.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
138.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
137.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
136.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
136.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
136.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
135.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
135.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
135.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
135.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
134.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
134.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
132.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
132.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
132.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
132.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
131.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
131.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
131.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
131.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
131.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
130.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
129.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
129.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
128.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
128.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
127.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
127.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
126.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
126.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
126.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
125.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
125.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
124.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
124.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
124.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
124.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
123.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
122.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
121.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
120.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
119.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
119.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
118.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
118.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
118.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
118.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
117.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
117.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
116.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
115.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
115.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
114.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
113.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
112.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
111.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
110.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
110.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
107.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
107.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
106.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
105.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
104.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
104.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
103.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
102.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
101.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
101.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
101.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
98.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
98.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
98.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
98.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
97.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
97.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
94.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
93.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
93.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
92.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
91.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
91.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
SEPTIN2 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
193.4
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
343.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
330.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
318.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
308.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
305.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
294.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
290.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
287.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
286.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
285.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
280.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
280.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
275.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
275.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
271.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
271.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
271.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
270.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
269.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
269.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
268.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
264.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
262.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
261.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
260.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
260.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
260.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
260.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
259.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
259.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
258.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
257.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
256.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
256.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
255.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
254.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
254.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
253.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
251.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
250.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
248.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
248.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
248.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
248.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
247.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
246.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
246.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
246.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
243.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
243.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
243.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
242.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
242.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
240.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
240.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
240.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
238.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
238.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
237.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
236.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
235.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
235.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
235.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
235.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
235.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
233.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
233.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
232.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
232.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
231.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
231.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
231.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
230.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
230.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
230.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
230.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
229.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
229.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
229.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
228.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
228.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
228.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
228.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
228.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
228.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
227.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
227.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
227.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
226.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
226.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
225.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
224.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
224.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
223.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
223.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
222.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
222.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
221.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
221.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
221.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
221.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
220.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
220.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
220.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
219.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
219.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
219.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
219.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
219.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
219.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
218.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
218.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
218.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
218.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
218.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
217.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
217.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
217.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
216.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
216.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
216.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
216.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
216.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
215.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
214.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
214.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
214.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
214.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
213.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
213.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
213.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
213.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
212.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
212.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
212.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
212.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
212.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
212.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
212.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
211.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
211.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
210.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
210.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
210.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
209.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
209.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
209.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
209.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
208.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
208.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
208.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
208.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
208.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
208.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
207.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
207.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
207.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
207.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
206.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
206.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
206.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
206.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
206.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
206.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
206.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
205.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
205.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
205.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
205.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
205.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
205.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
205.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
205.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
204.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
204.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
204.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
204.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
204.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
203.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
203.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
203.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
203.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
203.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
202.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
202.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
201.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
201.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
201.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
201.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
201.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
200.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
200.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
198.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
198.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
198.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
198.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
198.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
198.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
198.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
198.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
198.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
197.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
197.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
197.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
197.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
197.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
197.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
196.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
196.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
196.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
195.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
195.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
195.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
195.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
195.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
195.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
195.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
195.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
195.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
194.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
194.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
194.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
194.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
194.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
194.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
194.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
193.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
193.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
193.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
193.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
193.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
192.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
192.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
192.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
192.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
192.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
192.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
192.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
192.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
192.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
192.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
191.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
191.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
191.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
191.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
191.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
190.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
190.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
190.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
190.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
189.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
189.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
189.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
189.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
189.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
189.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
188.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
188.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
188.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
188.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
188.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
187.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
187.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
187.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
187.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
187.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
187.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
187.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
186.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
186.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
186.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
186.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
185.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
185.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
185.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
184.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
183.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
183.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
183.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
183.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
183.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
183.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
183.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
182.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
182.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
182.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
182.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
182.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
182.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
182.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
181.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
181.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
181.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
181.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
181.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
181.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
181.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
181.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
181.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
181.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
181.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
180.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
180.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
180.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
180.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
180.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
179.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
179.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
179.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
179.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
179.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
179.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
179.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
178.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
178.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
178.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
178.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
178.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
178.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
178.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
177.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
177.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
177.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
177.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
176.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
176.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
176.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
176.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
176.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
176.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
175.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
175.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
175.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
175.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
175.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
175.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
175.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
174.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
174.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
174.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
173.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
173.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
172.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
172.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
172.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
172.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
172.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
172.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
172.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
171.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
171.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
171.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
171.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
171.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
171.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
170.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
170.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
170.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
170.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
170.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
170.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
169.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
169.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
168.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
168.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
168.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
168.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
168.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
168.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
167.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
167.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
167.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
167.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
167.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
167.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
166.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
166.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
166.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
166.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
166.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
165.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
165.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
165.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
165.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
164.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
164.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
164.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
164.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
163.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
163.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
163.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
163.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
163.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
163.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
162.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
162.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
161.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
160.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
160.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
158.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
158.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
158.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
157.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
156.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
155.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
155.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
155.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
153.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
153.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
153.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
153.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
153.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
153.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
152.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
152.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
152.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
152.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
152.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
152.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
152.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
152.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
151.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
151.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
151.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
151.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
151.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
150.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
150.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
150.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
149.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
149.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
149.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
149.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
149.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
149.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
149.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
148.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
148.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
148.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
146.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
146.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
145.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
145.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
145.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
145.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
145.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
144.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
144.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
143.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
143.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
142.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
142.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
142.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
142.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
142.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
139.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
138.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
137.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
137.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
137.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
136.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
136.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
134.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
134.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
134.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
133.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
132.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
132.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
131.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
130.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
128.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
127.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
127.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
126.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
124.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
123.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
123.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
122.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
120.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
116.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
116.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
115.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
113.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
107.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.1
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.
SEPTIN2 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
171.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
275.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
259.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
257.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
257.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
254.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
251.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
251.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
249.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
247.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
233.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
231.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
227.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
226.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
222.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
217.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
217.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
216.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
212.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
212.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
208.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
208.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
205.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
203.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
203.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
202.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
199.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
198.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
195.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
193.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
192.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
190.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
187.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
186.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
186.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
183.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
179.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
178.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
178.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
177.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
177.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
175.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
174.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
172.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
171.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
169.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
169.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
164.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
164.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
164.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
163.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
162.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
161.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
158.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
158.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
153.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
153.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
151.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
150.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
148.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
144.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
143.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
142.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
142.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
141.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
140.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
139.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
138.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
137.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
137.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
133.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
130.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
128.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
126.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
125.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
122.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
121.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
120.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
119.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
119.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
117.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
117.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
116.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
107.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
96.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
69.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
61.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
49.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEPTIN2 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
179.9
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
349.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
293.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
285.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
284.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
269.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
263.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
260.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
255.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
240.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
237.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
237.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
236.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
235.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
233.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
232.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
232.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
232.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
231.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
231.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
231.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
231.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
229.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
228.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
227.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
226.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
223.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
221.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
217.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
214.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
213.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
210.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
210.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
209.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
207.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
206.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
206.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
204.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
203.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
203.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
203.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
203.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
201.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
201.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
200.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
199.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
199.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
199.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
199.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
198.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
197.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
197.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
197.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
197.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
196.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
196.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
196.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
195.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
195.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
195.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
194.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
194.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
194.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
193.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
193.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
192.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
192.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
192.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
191.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
191.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
190.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
190.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
189.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
189.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
189.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
189.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
189.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
188.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
188.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
188.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
187.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
187.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
186.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
185.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
185.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
185.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
184.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
184.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
184.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
184.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
183.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
183.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
181.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
180.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
180.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
180.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
180.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
179.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
178.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
178.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
178.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
178.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
177.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
177.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
177.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
176.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
176.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
175.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
175.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
175.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
175.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
175.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
175.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
175.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
174.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
174.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
174.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
174.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
173.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
173.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
173.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
172.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
171.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
171.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
171.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
171.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
171.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
170.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
170.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
170.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
170.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
169.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
169.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
168.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
167.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
167.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
166.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
165.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
165.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
164.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
164.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
163.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
162.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
162.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
161.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
161.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
161.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
161.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
161.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
161.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
161.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
161.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
160.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
159.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
159.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
158.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
157.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
155.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
155.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
155.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
154.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
154.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
154.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
153.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
152.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
152.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
151.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
151.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
151.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
151.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
151.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
151.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
149.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
149.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
148.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
147.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
147.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
147.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
146.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
146.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
145.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
144.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
143.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
142.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
141.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
140.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
139.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
137.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
136.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
133.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
133.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
133.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
133.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
131.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
131.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
131.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
129.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
127.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
120.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
120.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
119.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
116.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
112.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
111.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
107.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
106.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
103.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
30.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
