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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.
SRSF2 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
94.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
197.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
164.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
160.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
159.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
159.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
159.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
155.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
152.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
152.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
152.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
148.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
147.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
147.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
146.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
145.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
144.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
143.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
143.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
142.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
141.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
140.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
140.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
139.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
138.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
135.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
133.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
132.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
131.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
129.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
129.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
128.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
128.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
127.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
124.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
123.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
123.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
122.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
122.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
121.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
120.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
120.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
119.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
119.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
119.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
119.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
118.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
118.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
118.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
117.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
116.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
116.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
115.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
115.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
114.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
113.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
112.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
112.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
112.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
112.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
112.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
112.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
111.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
110.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
110.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
110.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
110.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
110.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
110.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
109.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
109.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
108.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
107.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
107.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
106.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
106.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
106.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
105.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
105.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
105.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
105.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
104.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
104.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
104.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
104.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
104.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
104.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
103.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
103.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
102.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
102.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
102.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
101.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
101.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
101.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
101.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
101.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
100.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
100.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
100.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
99.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
99.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
99.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
99.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
98.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
98.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
98.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
98.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
98.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
98.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
97.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
96.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
96.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
96.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
95.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
95.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
95.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
94.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
94.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
94.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
93.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
93.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
93.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
93.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
93.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
92.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
92.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
91.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
91.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
91.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
91.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
90.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
89.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
89.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
89.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
89.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
89.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
88.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
88.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
88.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
87.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
87.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
87.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
86.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
86.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
86.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
86.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
85.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
85.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
85.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
85.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
84.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
84.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
84.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
84.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
83.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
83.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
83.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
82.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
82.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
82.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
81.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
81.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
81.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
80.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
80.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
80.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
80.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
79.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
79.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
79.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
79.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
78.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
78.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
77.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
77.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
77.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
77.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
76.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
75.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
75.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
75.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
75.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
75.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
75.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
74.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
73.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
73.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
73.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
73.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
72.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
71.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
71.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
70.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
70.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
66.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
65.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
65.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
65.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
65.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
64.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
64.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
62.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
62.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
62.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
62.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
62.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
61.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
61.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
61.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
60.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
59.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
59.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
59.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
59.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
58.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
58.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
58.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
57.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
57.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
56.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
56.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
55.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
54.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
54.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
53.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
52.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
49.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
46.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
43.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRSF2 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
60.7
Number of samples
486
Samples
Sample
Description
TPM
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
110.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
109.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
107.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
107.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
106.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
103.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
102.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
101.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
101.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
101.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
100.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
100.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
99.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
99.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
98.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
97.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
96.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
96.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
95.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
94.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
93.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
92.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
92.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
92.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
91.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
89.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
89.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
89.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
88.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
88.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
87.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
87.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
86.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
86.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
86.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
85.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
85.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
85.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
85.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
83.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
82.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
82.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
82.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
82.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
81.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
81.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
80.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
79.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
78.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
78.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
78.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
78.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
77.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
77.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
77.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
77.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
77.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
76.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
76.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
76.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
76.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
76.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
75.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
75.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
74.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
74.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
74.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
74.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
73.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
73.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
73.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
73.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
73.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
73.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
73.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
72.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
72.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
72.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
71.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
71.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
71.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
71.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
71.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
71.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
70.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
70.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
70.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
70.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
70.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
70.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
69.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
69.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
69.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
68.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
68.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
68.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
68.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
68.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
68.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
68.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
68.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
68.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
67.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
67.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
67.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
66.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
66.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
66.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
66.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
66.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
66.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
66.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
65.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
65.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
65.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
64.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
64.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
64.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
64.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
62.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
62.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
62.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
62.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
61.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
61.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
61.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
61.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
61.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
61.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
61.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
61.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
61.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
61.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
61.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
61.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
61.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
60.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
60.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
60.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
60.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
60.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
60.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
60.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
59.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
59.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
59.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
59.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
59.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
59.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
58.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
57.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
57.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
56.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
56.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
56.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
56.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
56.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
55.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
55.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
55.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
55.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
54.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
54.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
54.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
54.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
53.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
53.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
53.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
51.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
51.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
50.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
50.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
50.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
49.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
48.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
45.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
44.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
43.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
43.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
41.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
37.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
35.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
35.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
35.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
29.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
SRSF2 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
88.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
177.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
152.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
150.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
136.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
134.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
132.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
132.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
130.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
130.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
126.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
123.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
123.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
122.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
120.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
118.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
117.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
117.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
115.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
113.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
113.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
111.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
111.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
106.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
104.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
103.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
103.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
102.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
101.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
99.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
97.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
97.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
96.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
95.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
95.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
94.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
93.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
93.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
93.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
93.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
92.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
92.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
92.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
91.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
91.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
91.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
90.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
89.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
86.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
86.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
84.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
84.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
83.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
83.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
80.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
80.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
77.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
76.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
74.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
73.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
73.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
71.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
69.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
67.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
66.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
66.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
66.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
65.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
65.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
64.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
62.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
62.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
61.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
59.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
56.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
55.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
54.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
52.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
45.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
38.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRSF2 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
63.8
Number of samples
207
Samples
Sample
Description
TPM
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
114.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
103.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
102.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
101.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
101.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
99.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
93.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
93.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
91.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
89.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
89.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
88.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
88.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
87.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
87.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
87.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
87.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
86.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
85.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
85.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
84.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
84.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
83.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
83.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
82.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
82.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
82.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
82.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
81.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
81.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
80.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
79.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
79.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
79.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
79.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
78.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
78.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
77.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
77.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
77.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
77.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
77.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
77.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
77.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
77.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
76.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
76.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
76.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
76.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
75.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
74.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
74.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
73.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
73.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
73.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
73.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
72.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
72.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
72.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
70.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
70.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
70.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
69.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
69.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
69.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
69.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
69.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
68.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
66.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
66.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
66.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
65.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
65.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
64.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
64.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
64.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
61.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
59.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
59.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
59.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
59.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
59.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
57.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
55.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
55.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
54.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
52.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
51.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
50.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
49.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
48.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
47.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
45.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
40.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
29.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
28.6
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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
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
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Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
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Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
5a3aa99d-ca10-45f6-939f-12392a_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.
The Human Protein Atlas project is funded
