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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.
SF3B6 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
151.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
325.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
309.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
284.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
271.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
263.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
261.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
258.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
257.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
255.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
238.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
232.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
230.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
228.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
223.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
221.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
219.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
219.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
215.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
214.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
214.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
212.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
212.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
211.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
210.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
210.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
207.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
206.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
203.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
202.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
202.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
201.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
201.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
199.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
198.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
198.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
197.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
197.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
196.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
194.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
193.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
193.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
192.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
192.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
191.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
189.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
188.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
187.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
187.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
187.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
187.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
185.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
185.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
184.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
181.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
180.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
180.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
180.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
180.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
179.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
179.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
178.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
177.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
176.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
175.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
174.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
174.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
174.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
174.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
174.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
173.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
173.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
172.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
172.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
172.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
169.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
168.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
168.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
167.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
166.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
164.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
163.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
163.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
162.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
162.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
162.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
162.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
162.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
161.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
161.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
161.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
159.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
158.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
157.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
156.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
155.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
154.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
154.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
154.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
153.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
152.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
152.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
152.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
151.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
151.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
151.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
150.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
150.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
149.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
149.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
149.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
149.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
149.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
148.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
147.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
146.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
146.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
145.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
145.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
145.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
145.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
144.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
144.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
143.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
142.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
142.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
141.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
141.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
140.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
140.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
140.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
140.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
139.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
139.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
139.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
139.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
139.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
138.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
138.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
138.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
138.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
138.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
138.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
137.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
137.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
135.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
135.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
135.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
135.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
134.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
134.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
134.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
134.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
132.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
132.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
132.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
132.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
132.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
132.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
131.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
131.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
131.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
130.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
130.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
130.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
130.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
130.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
129.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
129.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
129.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
129.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
128.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
128.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
128.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
128.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
128.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
127.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
126.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
126.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
126.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
125.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
125.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
124.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
124.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
123.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
122.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
122.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
122.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
122.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
120.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
120.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
120.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
119.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
119.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
118.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
118.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
118.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
118.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
118.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
118.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
117.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
117.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
116.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
116.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
115.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
115.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
115.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
114.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
114.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
114.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
113.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
113.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
113.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
113.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
112.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
112.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
111.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
111.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
110.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
110.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
110.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
109.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
109.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
109.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
109.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
109.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
109.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
108.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
107.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
107.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
107.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
107.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
107.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
107.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
106.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
105.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
104.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
104.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
104.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
103.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
102.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
102.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
100.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
99.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
97.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
96.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
96.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
96.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
96.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
93.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
92.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
92.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
89.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
86.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 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.
SF3B6 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
88.1
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
196.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
181.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
175.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
173.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
156.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
155.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
154.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
150.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
146.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
146.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
146.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
145.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
142.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
141.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
140.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
140.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
135.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
135.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
135.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
133.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
130.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
129.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
128.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
127.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
125.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
125.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
125.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
124.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
123.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
123.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
122.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
121.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
121.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
121.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
121.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
120.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
120.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
120.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
120.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
120.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
119.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
119.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
119.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
119.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
118.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
118.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
118.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
118.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
118.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
118.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
117.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
117.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
116.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
116.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
116.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
116.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
115.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
115.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
115.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
115.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
115.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
114.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
114.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
113.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
112.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
112.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
112.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
112.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
111.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
111.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
110.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
110.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
110.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
110.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
109.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
109.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
109.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
109.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
108.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
108.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
108.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
108.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
108.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
108.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
108.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
107.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
107.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
106.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
106.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
106.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
105.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
105.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
105.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
105.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
105.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
105.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
105.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
105.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
104.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
104.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
104.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
104.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
104.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
103.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
103.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
103.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
103.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
103.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
103.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
103.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
103.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
103.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
102.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
102.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
102.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
102.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
102.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
101.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
101.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
101.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
101.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
101.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
101.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
100.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
100.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
100.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
100.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
100.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
99.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
99.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
99.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
99.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
99.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
98.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
98.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
98.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
98.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
98.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
98.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
98.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
97.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
97.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
97.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
97.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
97.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
97.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
97.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
97.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
97.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
96.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
96.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
96.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
96.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
96.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
96.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
96.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
95.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
95.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
95.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
95.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
94.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
94.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
94.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
94.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
93.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
93.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
93.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
93.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
93.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
93.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
92.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
92.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
92.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
92.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
92.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
92.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
92.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
92.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
92.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
91.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
91.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
91.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
91.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
91.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
90.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
90.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
90.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
90.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
90.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
90.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
89.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
89.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
89.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
89.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
89.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
89.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
89.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
88.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
88.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
88.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
88.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
88.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
88.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
88.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
88.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
88.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
87.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
87.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
87.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
87.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
87.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
86.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
86.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
86.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
86.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
86.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
86.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
86.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
86.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
86.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
86.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
86.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
85.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
85.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
85.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
85.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
85.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
85.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
85.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
85.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
85.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
85.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
84.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
84.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
84.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
84.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
84.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
83.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
83.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
83.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
83.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
83.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
83.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
83.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
83.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
83.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
83.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
82.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
82.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
82.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
82.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
82.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
82.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
82.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
82.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
82.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
81.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
81.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
81.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
81.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
81.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
81.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
80.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
80.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
80.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
80.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
80.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
80.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
80.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
80.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
79.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
79.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
79.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
79.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
79.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
79.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
79.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
79.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
79.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
78.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
78.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
78.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
78.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
78.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
78.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
78.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
78.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
77.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
77.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
77.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
77.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
77.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
77.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
77.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
77.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
76.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
76.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
76.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
76.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
76.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
75.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
75.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
75.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
75.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
75.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
74.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
74.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
74.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
74.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
74.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
74.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
74.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
74.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
74.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
73.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
73.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
72.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
72.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
72.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
72.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
72.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
72.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
70.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
70.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
70.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
70.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
70.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
70.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
69.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
69.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
69.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
69.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
69.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
68.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
68.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
68.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
68.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
68.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
67.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
67.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
67.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
67.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
67.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
67.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
66.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
66.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
66.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
66.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
66.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
66.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
65.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
65.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
65.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
65.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
65.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
64.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
64.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
64.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
61.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
61.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
61.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
61.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
61.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
60.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
60.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
60.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
58.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
58.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
56.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
53.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
52.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
51.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.5
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.
SF3B6 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
162.4
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
291.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
268.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
259.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
249.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
240.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
226.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
225.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
222.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
216.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
213.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
213.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
208.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
207.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
205.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
202.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
197.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
196.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
195.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
194.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
190.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
190.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
190.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
188.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
187.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
184.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
184.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
183.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
182.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
180.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
177.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
176.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
175.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
174.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
173.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
171.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
169.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
167.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
166.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
166.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
165.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
164.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
164.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
162.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
157.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
156.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
156.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
156.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
155.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
153.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
151.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
151.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
150.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
148.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
147.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
145.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
145.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
145.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
144.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
141.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
139.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
137.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
136.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
136.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
136.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
134.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
133.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
131.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
131.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
130.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
127.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
127.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
126.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
124.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
123.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
122.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
119.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
119.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
118.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
117.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
108.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
104.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
99.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
94.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
92.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
91.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SF3B6 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
80.3
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
167.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
150.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
147.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
134.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
134.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
133.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
132.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
131.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
125.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
117.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
117.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
116.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
116.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
114.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
110.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
110.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
108.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
108.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
107.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
107.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
106.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
106.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
105.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
105.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
104.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
104.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
104.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
103.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
102.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
101.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
101.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
101.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
100.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
99.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
98.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
98.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
98.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
98.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
97.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
97.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
97.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
96.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
96.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
95.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
95.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
95.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
94.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
94.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
94.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
93.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
93.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
92.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
92.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
92.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
91.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
91.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
91.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
91.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
90.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
90.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
90.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
90.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
89.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
89.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
89.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
88.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
88.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
87.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
87.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
86.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
85.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
85.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
84.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
84.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
84.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
83.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
83.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
83.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
82.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
82.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
81.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
81.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
80.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
80.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
79.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
79.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
79.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
79.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
79.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
78.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
78.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
78.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
78.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
78.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
78.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
77.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
77.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
77.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
76.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
76.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
76.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
76.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
76.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
75.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
75.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
75.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
75.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
74.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
73.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
73.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
73.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
73.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
73.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
73.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
72.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
72.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
71.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
70.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
70.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
69.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
69.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
69.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
68.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
68.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
68.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
68.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
67.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
67.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
67.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
66.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
66.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
65.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
65.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
65.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
65.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
64.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
64.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
64.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
63.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
63.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
63.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
63.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
63.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
62.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
62.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
61.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
60.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
60.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
59.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
58.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
58.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
57.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
54.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
53.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
49.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
47.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
45.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.4
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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.