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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.
SYPL1 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
92.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
195.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
190.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
183.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
167.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
162.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
161.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
159.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
157.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
149.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
148.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
146.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
144.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
134.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
133.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
133.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
132.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
131.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
130.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
130.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
130.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
129.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
128.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
128.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
128.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
124.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
123.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
123.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
122.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
122.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
122.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
121.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
121.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
121.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
121.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
120.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
120.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
119.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
119.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
118.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
118.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
117.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
117.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
117.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
117.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
115.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
114.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
114.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
114.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
114.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
114.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
113.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
112.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
112.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
111.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
111.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
110.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
110.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
109.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
109.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
109.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
108.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
108.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
108.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
107.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
107.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
106.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
106.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
106.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
106.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
105.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
104.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
104.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
104.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
104.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
104.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
104.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
103.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
102.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
100.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
99.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
99.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
99.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
99.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
99.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
99.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
99.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
98.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
98.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
98.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
98.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
97.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
97.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
97.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
96.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
96.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
96.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
96.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
95.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
95.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
95.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
94.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
94.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
93.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
93.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
93.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
92.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
92.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
92.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
91.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
91.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
91.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
91.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
91.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
91.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
91.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
90.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
90.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
90.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
89.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
89.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
89.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
89.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
88.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
88.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
88.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
88.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
87.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
87.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
87.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
87.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
87.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
86.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
86.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
86.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
86.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
86.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
86.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
86.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
85.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
85.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
84.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
84.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
83.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
83.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
83.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
82.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
82.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
82.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
82.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
82.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
82.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
81.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
81.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
81.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
81.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
81.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
81.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
81.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
81.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
81.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
81.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
81.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
81.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
81.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
81.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
80.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
79.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
79.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
79.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
79.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
79.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
78.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
77.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
77.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
76.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
76.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
76.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
75.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
75.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
75.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
75.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
75.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
74.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
74.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
74.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
73.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
73.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
72.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
72.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
71.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
70.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
69.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
69.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
69.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
69.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
68.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
67.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
67.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
66.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
66.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
65.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
64.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
64.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
64.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
63.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
63.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
63.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
62.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
62.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
62.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
62.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
62.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
62.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
61.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
60.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
60.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
59.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
57.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
56.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
54.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
53.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
53.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
52.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
44.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 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.
SYPL1 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
70.6
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
173.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
145.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
141.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
140.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
133.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
130.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
130.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
123.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
119.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
116.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
114.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
113.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
112.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
111.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
111.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
111.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
110.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
109.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
109.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
109.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
109.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
108.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
108.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
107.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
105.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
105.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
105.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
104.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
104.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
103.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
103.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
103.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
103.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
102.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
102.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
102.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
101.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
100.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
100.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
100.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
99.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
98.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
98.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
97.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
97.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
97.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
96.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
96.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
95.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
95.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
95.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
95.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
95.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
95.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
95.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
95.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
94.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
94.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
94.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
94.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
94.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
93.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
93.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
93.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
93.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
93.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
93.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
92.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
92.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
92.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
92.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
90.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
89.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
89.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
89.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
89.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
89.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
88.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
88.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
88.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
88.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
87.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
86.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
86.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
86.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
86.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
86.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
86.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
86.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
85.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
85.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
85.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
85.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
84.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
84.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
84.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
83.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
83.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
83.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
83.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
82.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
82.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
82.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
81.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
81.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
81.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
81.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
81.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
80.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
80.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
80.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
80.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
80.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
79.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
79.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
79.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
79.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
79.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
79.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
78.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
78.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
78.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
78.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
77.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
77.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
77.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
77.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
77.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
77.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
77.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
77.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
77.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
77.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
76.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
76.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
76.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
76.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
76.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
76.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
76.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
76.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
76.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
75.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
75.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
75.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
75.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
75.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
75.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
75.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
74.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
74.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
74.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
74.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
74.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
73.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
73.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
72.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
72.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
72.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
72.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
72.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
72.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
72.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
72.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
72.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
72.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
71.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
71.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
71.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
71.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
71.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
71.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
71.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
71.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
71.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
71.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
70.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
70.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
70.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
70.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
70.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
69.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
69.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
69.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
69.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
69.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
69.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
69.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
69.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
69.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
69.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
69.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
68.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
68.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
68.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
68.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
68.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
68.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
67.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
67.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
66.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
66.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
66.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
65.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
65.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
65.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
65.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
65.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
64.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
64.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
64.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
64.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
64.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
64.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
63.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
63.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
63.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
63.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
62.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
62.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
62.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
62.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
62.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
61.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
61.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
61.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
61.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
61.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
61.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
60.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
60.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
60.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
60.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
60.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
60.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
58.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
58.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
58.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
58.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
58.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
58.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
58.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
57.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
57.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
57.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
57.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
56.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
56.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
56.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
55.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
55.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
54.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
54.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
53.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
52.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
52.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
50.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
50.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
50.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
47.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
45.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
39.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
33.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
33.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.7
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.
SYPL1 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
100.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
190.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
164.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
158.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
155.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
153.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
152.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
147.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
147.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
144.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
144.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
144.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
142.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
139.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
139.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
137.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
135.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
133.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
132.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
131.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
131.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
129.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
129.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
128.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
128.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
127.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
127.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
121.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
120.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
119.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
119.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
116.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
115.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
108.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
106.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
106.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
104.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
101.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
101.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
100.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
99.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
99.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
98.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
97.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
97.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
96.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
94.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
93.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
92.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
91.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
91.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
90.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
88.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
87.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
85.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
84.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
84.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
84.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
83.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
80.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
80.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
79.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
79.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
79.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
78.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
77.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
76.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
76.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
73.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
69.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
68.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
67.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
67.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
66.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
66.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
66.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
66.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
64.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
59.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
56.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
56.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
53.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SYPL1 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
66.4
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
137.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
127.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
123.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
118.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
116.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
113.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
113.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
110.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
110.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
108.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
104.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
102.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
101.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
100.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
100.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
100.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
99.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
98.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
98.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
97.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
95.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
95.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
95.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
94.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
93.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
92.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
91.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
88.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
87.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
85.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
84.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
84.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
84.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
83.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
83.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
83.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
83.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
83.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
82.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
82.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
82.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
81.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
81.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
81.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
79.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
79.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
78.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
78.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
78.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
77.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
76.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
75.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
75.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
75.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
75.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
74.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
74.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
71.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
71.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
71.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
71.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
70.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
70.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
70.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
69.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
69.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
69.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
69.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
68.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
68.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
68.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
67.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
66.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
65.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
65.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
65.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
64.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
64.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
63.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
63.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
62.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
61.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
61.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
60.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
59.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
59.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
59.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
59.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
57.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
56.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
56.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
56.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
55.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
52.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
52.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
49.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
48.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
47.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
45.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
44.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
37.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
