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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.
SMARCD2 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
92.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
177.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
176.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
171.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
171.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
169.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
162.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
161.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
153.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
145.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
141.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
141.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
136.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
133.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
131.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
130.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
130.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
130.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
130.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
130.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
129.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
129.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
129.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
128.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
127.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
125.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
124.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
124.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
124.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
124.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
124.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
123.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
122.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
122.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
122.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
121.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
121.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
120.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
120.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
120.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
119.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
118.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
118.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
117.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
117.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
117.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
117.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
116.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
116.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
116.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
116.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
116.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
115.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
115.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
114.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
113.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
112.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
112.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
112.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
111.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
110.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
110.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
109.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
109.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
109.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
108.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
108.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
108.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
107.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
106.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
106.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
106.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
106.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
105.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
105.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
105.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
105.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
105.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
105.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
105.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
104.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
104.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
104.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
103.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
103.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
103.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
103.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
103.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
103.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
102.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
102.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
102.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
100.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
99.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
99.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
98.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
98.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
98.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
97.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
97.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
97.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
96.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
96.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
96.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
95.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
95.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
94.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
94.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
94.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
93.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
93.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
93.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
93.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
93.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
93.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
92.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
92.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
91.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
91.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
91.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
91.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
90.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
90.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
90.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
90.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
90.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
90.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
89.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
89.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
89.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
89.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
89.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
89.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
88.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
88.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
88.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
88.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
87.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
87.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
87.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
87.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
85.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
85.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
85.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
85.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
85.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
85.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
85.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
84.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
84.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
84.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
83.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
83.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
82.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
82.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
82.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
82.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
82.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
81.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
81.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
81.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
80.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
80.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
80.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
79.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
79.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
79.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
78.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
77.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
77.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
77.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
77.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
77.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
76.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
76.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
76.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
75.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
75.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
74.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
74.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
74.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
74.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
73.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
73.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
73.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
73.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
72.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
71.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
71.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
71.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
70.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
70.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
69.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
68.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
68.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
67.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
67.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
66.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
66.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
65.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
65.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
65.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
64.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
63.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
62.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
61.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
61.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
59.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
59.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
59.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
58.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
57.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
57.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
56.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
56.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
55.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
54.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
54.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
53.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
53.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
51.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
49.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
48.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
48.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
48.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
SMARCD2 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
81.2
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
210.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
196.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
177.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
175.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
174.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
166.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
159.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
153.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
146.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
142.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
137.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
136.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
133.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
132.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
131.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
130.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
127.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
125.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
122.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
121.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
120.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
119.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
119.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
118.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
118.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
117.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
117.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
117.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
117.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
116.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
116.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
116.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
116.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
116.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
116.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
116.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
116.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
115.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
115.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
114.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
114.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
113.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
113.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
113.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
112.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
112.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
111.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
110.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
110.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
109.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
109.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
108.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
108.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
108.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
107.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
106.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
106.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
106.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
106.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
106.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
105.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
105.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
105.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
104.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
104.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
103.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
103.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
103.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
102.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
102.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
102.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
101.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
101.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
101.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
101.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
100.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
99.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
98.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
98.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
98.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
98.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
98.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
97.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
97.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
97.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
97.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
97.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
96.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
96.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
96.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
96.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
95.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
95.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
95.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
95.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
94.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
94.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
94.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
94.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
94.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
94.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
94.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
94.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
94.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
93.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
93.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
93.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
93.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
93.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
93.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
93.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
93.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
93.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
93.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
93.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
93.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
92.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
92.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
92.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
92.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
92.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
91.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
91.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
91.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
91.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
91.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
91.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
91.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
90.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
90.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
90.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
90.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
90.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
89.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
89.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
89.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
89.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
89.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
89.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
89.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
88.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
88.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
88.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
88.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
88.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
88.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
88.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
88.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
87.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
87.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
87.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
87.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
87.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
87.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
87.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
87.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
86.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
86.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
86.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
86.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
85.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
85.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
85.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
85.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
85.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
85.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
85.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
84.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
84.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
84.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
84.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
84.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
84.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
83.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
83.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
83.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
83.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
83.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
83.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
83.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
83.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
83.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
82.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
82.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
82.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
81.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
81.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
81.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
81.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
80.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
80.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
80.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
80.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
80.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
80.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
80.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
80.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
80.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
80.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
80.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
80.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
79.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
79.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
79.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
79.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
79.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
79.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
79.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
79.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
79.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
78.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
78.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
78.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
78.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
78.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
78.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
78.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
78.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
78.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
78.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
77.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
77.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
77.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
77.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
77.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
77.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
77.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
77.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
77.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
76.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
76.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
76.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
76.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
76.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
76.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
76.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
76.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
75.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
75.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
75.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
75.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
75.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
75.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
75.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
74.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
74.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
74.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
74.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
74.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
74.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
74.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
74.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
74.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
74.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
73.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
73.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
73.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
73.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
73.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
73.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
73.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
73.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
73.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
72.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
72.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
72.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
72.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
72.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
72.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
72.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
72.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
71.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
71.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
71.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
71.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
71.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
71.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
71.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
71.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
70.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
70.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
70.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
70.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
70.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
70.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
70.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
70.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
69.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
69.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
69.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
69.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
69.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
68.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
68.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
68.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
67.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
67.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
67.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
67.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
67.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
67.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
66.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
66.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
66.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
66.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
65.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
65.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
65.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
65.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
65.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
65.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
64.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
64.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
64.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
64.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
63.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
63.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
63.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
63.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
62.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
62.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
62.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
62.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
61.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
61.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
61.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
60.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
60.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
60.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
59.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
59.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
59.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
58.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
58.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
58.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
57.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
57.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
57.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
56.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
56.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
55.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
53.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
53.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
52.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
48.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
48.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
44.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
41.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
SMARCD2 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
87.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
222.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
160.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
129.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
128.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
126.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
123.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
122.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
120.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
118.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
115.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
113.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
112.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
112.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
111.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
110.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
110.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
110.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
106.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
105.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
104.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
103.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
103.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
101.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
101.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
99.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
99.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
98.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
98.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
94.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
94.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
91.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
91.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
90.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
89.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
89.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
87.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
86.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
85.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
85.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
85.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
85.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
83.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
83.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
82.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
81.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
80.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
78.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
78.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
78.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
78.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
78.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
77.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
75.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
75.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
75.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
74.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
74.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
70.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
70.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
67.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
67.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
66.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
65.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
64.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
63.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
60.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
58.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
57.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
55.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
41.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SMARCD2 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
74.5
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
194.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
151.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
143.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
126.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
123.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
123.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
121.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
118.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
117.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
114.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
114.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
110.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
110.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
108.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
106.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
106.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
105.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
105.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
103.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
103.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
101.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
99.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
98.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
97.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
96.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
96.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
95.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
94.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
93.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
93.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
93.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
92.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
92.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
91.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
91.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
90.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
89.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
89.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
88.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
88.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
88.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
86.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
85.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
84.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
84.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
84.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
84.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
84.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
83.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
83.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
83.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
82.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
82.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
82.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
81.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
81.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
81.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
81.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
80.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
80.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
80.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
80.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
79.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
79.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
79.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
79.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
78.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
77.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
77.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
77.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
76.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
76.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
76.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
76.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
76.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
75.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
74.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
74.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
73.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
73.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
73.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
72.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
72.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
72.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
72.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
72.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
71.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
71.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
71.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
71.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
71.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
70.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
70.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
70.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
70.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
70.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
69.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
69.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
69.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
69.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
68.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
68.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
68.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
67.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
66.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
66.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
66.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
65.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
65.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
65.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
65.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
64.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
64.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
64.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
63.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
62.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
61.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
61.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
61.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
61.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
60.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
60.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
60.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
60.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
60.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
59.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
59.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
58.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
58.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
57.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
56.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
54.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
52.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
52.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
44.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
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Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
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Tumor
0.2
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Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
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Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
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Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
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Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
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.
The Human Protein Atlas project is funded
