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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.
SRSF1 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
79.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
170.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
147.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
137.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
129.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
127.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
124.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
124.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
122.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
122.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
121.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
118.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
118.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
117.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
115.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
113.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
111.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
111.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
111.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
110.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
110.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
109.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
109.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
108.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
108.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
106.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
106.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
106.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
105.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
104.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
103.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
102.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
102.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
101.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
100.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
100.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
99.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
99.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
99.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
99.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
99.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
99.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
99.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
98.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
98.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
97.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
96.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
96.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
96.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
95.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
95.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
94.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
94.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
94.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
94.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
94.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
93.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
93.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
92.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
92.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
92.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
92.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
91.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
91.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
91.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
90.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
90.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
90.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
90.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
90.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
89.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
89.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
89.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
89.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
88.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
88.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
87.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
87.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
87.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
87.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
86.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
86.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
86.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
86.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
86.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
86.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
85.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
85.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
85.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
84.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
84.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
84.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
84.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
83.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
83.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
83.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
83.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
82.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
82.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
82.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
82.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
81.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
81.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
81.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
81.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
80.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
80.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
80.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
80.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
80.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
80.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
80.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
80.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
80.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
80.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
79.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
79.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
79.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
79.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
78.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
78.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
78.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
78.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
77.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
77.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
77.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
77.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
76.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
76.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
75.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
75.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
75.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
75.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
74.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
74.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
74.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
74.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
73.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
73.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
73.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
72.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
72.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
72.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
72.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
72.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
71.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
71.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
71.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
71.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
71.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
71.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
71.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
71.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
70.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
70.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
70.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
70.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
69.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
69.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
69.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
69.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
69.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
68.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
68.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
68.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
68.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
68.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
68.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
68.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
68.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
67.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
67.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
67.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
66.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
66.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
66.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
66.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
66.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
66.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
66.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
66.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
66.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
65.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
65.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
65.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
65.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
65.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
64.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
63.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
63.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
62.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
62.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
62.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
60.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
60.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
60.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
59.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
59.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
59.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
58.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
58.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
58.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
58.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
58.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
57.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
57.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
56.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
56.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
56.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
53.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
52.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
51.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
49.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
48.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
46.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
45.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
44.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
38.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.0
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.
SRSF1 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
77.0
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
142.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
140.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
137.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
134.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
133.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
127.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
127.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
123.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
122.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
120.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
119.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
118.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
118.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
118.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
118.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
116.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
116.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
116.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
116.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
115.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
115.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
114.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
113.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
113.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
112.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
110.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
110.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
110.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
109.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
109.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
109.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
109.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
108.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
108.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
108.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
108.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
107.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
107.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
107.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
106.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
105.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
105.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
104.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
104.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
104.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
104.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
104.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
104.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
103.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
103.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
103.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
102.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
102.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
101.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
100.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
100.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
100.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
100.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
100.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
100.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
98.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
98.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
98.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
98.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
98.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
97.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
97.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
96.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
96.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
96.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
96.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
95.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
95.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
95.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
95.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
94.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
94.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
94.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
93.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
93.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
93.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
93.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
92.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
92.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
92.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
92.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
92.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
91.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
91.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
91.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
91.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
91.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
90.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
90.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
90.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
90.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
90.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
90.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
90.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
89.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
89.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
89.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
89.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
88.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
88.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
88.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
88.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
88.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
87.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
87.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
87.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
87.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
87.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
87.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
87.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
87.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
86.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
86.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
86.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
86.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
86.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
86.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
86.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
85.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
85.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
85.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
85.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
85.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
85.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
85.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
84.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
84.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
84.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
84.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
84.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
83.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
83.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
83.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
83.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
83.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
83.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
83.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
83.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
83.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
83.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
82.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
82.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
82.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
82.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
82.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
82.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
82.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
82.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
81.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
81.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
81.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
81.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
81.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
81.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
81.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
81.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
81.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
81.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
81.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
81.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
80.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
80.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
80.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
80.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
80.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
80.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
80.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
80.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
80.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
79.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
79.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
79.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
79.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
79.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
79.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
78.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
78.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
78.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
78.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
78.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
78.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
78.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
77.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
77.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
77.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
77.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
77.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
77.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
77.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
77.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
77.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
77.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
76.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
76.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
76.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
76.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
76.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
76.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
76.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
76.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
76.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
76.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
76.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
76.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
76.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
76.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
76.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
75.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
75.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
75.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
75.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
75.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
75.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
74.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
74.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
74.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
74.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
74.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
74.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
74.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
74.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
74.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
73.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
73.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
73.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
73.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
73.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
73.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
72.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
72.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
72.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
72.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
72.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
72.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
72.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
71.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
71.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
71.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
71.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
71.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
70.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
70.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
70.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
70.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
70.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
70.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
70.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
70.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
69.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
69.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
69.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
69.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
69.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
69.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
69.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
68.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
68.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
68.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
68.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
68.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
68.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
68.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
68.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
68.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
67.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
67.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
67.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
67.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
67.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
67.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
67.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
67.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
66.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
66.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
66.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
66.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
66.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
66.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
66.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
66.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
66.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
66.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
65.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
65.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
65.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
65.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
65.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
64.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
64.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
64.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
63.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
63.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
63.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
63.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
63.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
63.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
62.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
62.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
62.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
62.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
61.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
61.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
59.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
59.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
59.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
58.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
58.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
58.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
57.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
56.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
55.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
54.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
54.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
53.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
53.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
53.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
52.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
52.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
50.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
49.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
49.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
42.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
39.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
32.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
SRSF1 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
81.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
146.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
129.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
126.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
124.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
119.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
119.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
115.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
114.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
113.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
110.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
110.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
109.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
108.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
107.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
107.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
107.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
103.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
101.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
101.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
98.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
97.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
96.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
95.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
95.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
95.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
95.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
92.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
92.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
90.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
90.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
89.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
89.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
89.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
87.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
85.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
83.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
81.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
81.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
81.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
81.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
80.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
79.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
79.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
79.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
79.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
77.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
77.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
76.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
74.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
74.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
73.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
72.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
71.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
71.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
71.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
69.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
68.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
67.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
66.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
66.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
65.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
64.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
64.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
62.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
60.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
60.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
59.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
59.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
59.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
59.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
56.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
52.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
49.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
45.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
43.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
37.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
34.0
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.
SRSF1 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
75.4
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
150.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
121.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
115.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
107.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
107.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
105.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
105.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
104.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
103.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
103.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
102.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
101.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
99.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
99.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
99.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
99.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
98.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
98.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
96.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
95.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
95.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
95.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
94.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
94.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
93.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
93.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
93.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
93.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
92.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
92.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
91.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
91.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
91.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
90.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
90.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
90.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
90.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
89.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
89.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
88.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
88.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
88.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
88.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
88.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
87.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
87.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
87.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
86.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
86.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
85.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
85.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
85.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
85.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
84.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
84.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
84.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
84.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
84.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
83.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
83.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
83.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
83.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
83.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
83.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
83.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
83.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
82.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
82.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
82.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
82.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
80.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
80.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
80.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
80.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
79.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
78.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
78.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
78.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
78.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
77.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
77.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
77.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
77.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
77.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
77.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
77.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
76.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
76.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
75.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
75.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
75.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
75.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
75.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
75.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
75.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
74.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
73.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
73.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
73.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
73.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
72.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
72.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
72.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
71.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
71.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
71.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
71.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
71.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
70.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
70.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
70.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
70.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
70.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
69.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
69.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
69.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
68.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
68.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
68.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
68.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
68.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
68.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
68.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
68.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
68.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
67.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
67.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
66.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
66.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
65.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
65.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
65.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
64.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
62.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
62.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
61.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
61.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
61.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
60.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
60.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
59.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
59.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
58.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
58.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
57.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
56.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
52.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
49.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
48.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
48.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.6
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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
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
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Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_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
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
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Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
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
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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
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Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
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Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_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
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
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Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
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
