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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.
SRSF9 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
140.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
271.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
263.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
256.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
237.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
230.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
223.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
220.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
216.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
216.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
215.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
212.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
202.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
202.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
198.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
197.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
195.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
195.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
194.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
194.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
191.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
191.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
189.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
188.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
186.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
184.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
184.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
183.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
182.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
181.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
181.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
179.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
177.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
177.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
175.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
173.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
173.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
173.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
173.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
172.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
172.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
172.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
171.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
169.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
169.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
168.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
167.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
166.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
166.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
165.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
165.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
164.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
163.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
163.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
162.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
162.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
161.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
161.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
160.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
160.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
160.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
159.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
159.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
159.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
159.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
159.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
158.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
158.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
158.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
158.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
158.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
157.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
157.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
156.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
156.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
155.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
155.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
155.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
153.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
153.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
152.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
152.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
152.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
151.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
150.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
150.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
149.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
149.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
148.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
148.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
148.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
147.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
147.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
147.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
147.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
147.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
146.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
146.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
146.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
145.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
145.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
145.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
144.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
143.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
143.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
143.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
143.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
142.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
142.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
142.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
142.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
142.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
142.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
141.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
140.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
140.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
140.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
140.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
140.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
140.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
139.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
139.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
139.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
139.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
139.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
139.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
138.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
138.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
138.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
138.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
137.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
136.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
136.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
136.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
136.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
136.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
135.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
135.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
134.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
134.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
134.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
134.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
134.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
134.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
133.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
133.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
132.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
132.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
132.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
132.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
132.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
131.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
131.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
131.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
131.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
131.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
131.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
130.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
130.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
130.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
130.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
129.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
129.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
128.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
127.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
127.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
127.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
126.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
126.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
126.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
126.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
126.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
125.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
125.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
124.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
123.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
123.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
123.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
122.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
122.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
122.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
122.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
121.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
121.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
120.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
120.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
119.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
119.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
119.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
119.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
118.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
117.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
117.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
117.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
117.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
116.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
116.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
116.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
115.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
115.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
115.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
113.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
113.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
112.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
112.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
111.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
110.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
110.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
110.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
109.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
108.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
108.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
107.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
107.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
106.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
105.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
104.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
104.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
104.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
103.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
103.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
102.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
102.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
102.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
102.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
101.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
101.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
100.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
100.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
100.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
98.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
98.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
98.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
98.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
97.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
96.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
96.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
95.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
94.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
94.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
94.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
93.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
93.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
92.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
92.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
90.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
89.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
87.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
85.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
84.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
81.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
75.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
74.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
72.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 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.
SRSF9 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
58.8
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
148.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
118.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
118.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
117.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
107.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
106.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
102.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
100.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
99.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
97.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
96.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
93.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
93.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
88.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
88.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
87.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
87.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
87.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
87.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
87.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
86.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
86.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
86.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
85.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
85.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
84.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
84.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
83.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
82.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
82.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
82.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
81.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
81.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
80.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
80.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
80.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
80.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
79.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
79.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
79.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
79.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
77.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
77.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
77.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
77.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
76.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
75.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
75.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
75.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
75.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
75.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
74.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
74.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
74.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
74.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
74.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
74.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
74.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
74.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
72.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
72.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
72.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
72.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
71.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
71.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
71.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
71.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
70.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
70.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
70.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
70.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
70.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
70.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
70.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
70.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
70.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
70.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
69.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
69.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
69.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
68.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
68.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
68.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
68.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
68.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
68.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
68.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
67.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
67.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
67.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
67.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
67.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
67.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
66.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
66.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
65.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
65.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
65.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
64.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
64.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
64.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
64.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
63.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
62.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
62.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
62.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
62.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
62.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
62.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
62.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
62.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
62.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
62.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
62.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
61.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
61.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
61.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
60.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
60.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
60.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
59.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
59.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
59.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
59.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
58.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
58.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
58.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
58.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
57.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
57.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
57.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
57.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
56.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
56.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
55.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
55.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
55.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
55.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
55.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
54.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
53.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
53.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
52.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
52.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
52.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
52.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
52.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
52.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
50.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
49.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
49.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
49.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
49.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
49.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
48.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
48.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
46.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
45.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
45.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
44.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
43.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
42.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
41.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
37.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRSF9 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
131.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
228.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
213.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
199.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
199.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
189.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
183.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
178.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
178.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
176.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
175.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
168.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
167.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
164.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
163.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
163.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
163.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
158.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
156.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
154.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
154.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
151.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
150.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
147.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
146.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
144.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
143.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
143.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
142.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
142.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
142.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
142.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
141.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
141.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
140.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
138.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
138.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
133.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
133.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
132.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
132.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
132.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
131.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
131.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
131.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
130.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
129.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
129.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
127.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
126.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
125.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
124.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
124.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
123.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
123.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
123.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
122.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
122.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
121.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
118.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
117.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
117.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
116.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
116.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
115.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
115.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
112.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
111.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
111.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
110.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
109.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
109.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
108.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
107.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
103.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
102.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
101.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
100.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
99.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
98.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
95.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
92.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
91.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
84.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
65.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
34.1
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.
SRSF9 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
48.3
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
97.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
88.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
85.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
83.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
79.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
77.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
77.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
75.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
73.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
73.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
73.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
69.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
69.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
69.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
68.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
67.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
66.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
66.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
65.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
65.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
65.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
64.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
61.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
59.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
59.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
58.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
55.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
55.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
55.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
55.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
52.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
51.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
50.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
49.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
48.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
44.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
42.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.2
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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
1.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.