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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.
CLNS1A 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
109.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
233.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
215.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
215.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
195.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
185.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
177.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
176.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
172.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
169.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
168.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
168.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
165.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
163.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
161.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
161.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
160.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
159.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
154.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
154.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
154.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
150.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
150.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
149.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
149.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
147.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
146.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
146.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
146.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
145.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
145.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
145.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
144.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
144.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
143.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
143.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
141.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
141.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
140.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
140.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
140.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
138.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
138.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
138.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
137.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
137.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
134.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
134.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
134.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
133.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
133.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
132.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
130.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
130.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
129.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
128.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
128.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
128.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
128.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
127.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
127.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
127.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
127.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
126.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
125.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
125.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
125.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
124.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
124.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
123.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
123.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
122.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
122.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
122.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
122.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
120.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
120.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
119.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
119.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
118.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
118.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
118.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
118.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
117.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
116.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
116.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
115.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
115.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
114.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
113.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
113.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
113.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
113.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
112.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
112.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
112.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
112.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
112.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
111.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
111.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
111.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
111.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
111.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
110.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
110.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
109.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
109.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
109.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
109.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
109.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
109.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
109.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
108.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
108.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
108.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
108.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
108.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
108.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
107.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
107.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
107.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
107.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
107.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
106.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
106.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
106.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
106.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
106.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
105.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
105.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
104.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
104.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
104.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
104.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
104.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
104.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
104.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
103.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
103.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
103.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
103.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
103.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
103.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
103.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
102.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
102.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
101.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
101.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
100.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
100.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
100.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
100.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
99.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
99.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
99.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
99.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
99.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
99.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
99.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
98.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
98.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
98.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
98.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
97.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
97.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
97.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
97.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
97.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
96.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
95.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
95.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
95.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
94.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
94.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
94.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
93.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
93.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
93.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
93.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
93.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
92.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
92.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
92.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
92.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
92.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
91.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
91.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
90.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
90.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
89.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
89.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
89.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
88.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
88.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
87.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
87.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
87.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
87.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
86.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
86.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
86.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
85.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
85.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
85.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
84.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
84.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
84.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
84.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
84.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
83.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
83.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
83.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
83.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
82.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
82.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
82.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
81.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
81.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
81.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
81.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
80.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
80.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
77.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
77.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
77.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
77.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
76.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
75.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
73.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
73.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
72.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
71.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
70.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
68.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
68.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
68.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
68.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
66.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
66.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
65.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
65.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
64.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
62.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
59.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
47.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
38.4
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.
CLNS1A 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
64.1
Number of samples
486
Samples
Sample
Description
TPM
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
116.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
114.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
113.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
108.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
108.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
107.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
106.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
105.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
104.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
104.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
103.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
103.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
102.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
101.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
99.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
98.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
97.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
96.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
96.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
95.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
95.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
95.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
95.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
94.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
92.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
91.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
91.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
90.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
89.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
89.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
89.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
88.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
88.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
87.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
87.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
87.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
86.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
86.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
86.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
86.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
85.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
85.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
85.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
84.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
84.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
83.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
82.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
82.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
82.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
82.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
81.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
81.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
81.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
81.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
80.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
80.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
80.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
80.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
79.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
79.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
79.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
79.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
78.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
78.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
78.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
78.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
78.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
77.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
77.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
77.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
77.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
77.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
77.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
77.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
77.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
77.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
76.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
76.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
76.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
76.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
76.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
76.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
76.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
76.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
76.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
76.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
75.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
75.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
75.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
75.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
75.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
75.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
75.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
75.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
75.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
74.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
74.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
74.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
74.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
74.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
73.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
73.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
73.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
73.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
73.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
73.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
72.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
72.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
72.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
72.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
72.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
72.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
71.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
71.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
71.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
71.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
71.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
70.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
70.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
70.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
70.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
70.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
70.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
70.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
70.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
70.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
69.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
69.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
69.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
68.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
68.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
68.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
68.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
68.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
68.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
68.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
67.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
67.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
67.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
67.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
67.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
66.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
66.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
65.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
65.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
65.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
64.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
64.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
64.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
63.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
63.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
63.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
63.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
63.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
63.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
63.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
63.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
63.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
62.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
62.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
62.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
62.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
61.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
61.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
61.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
61.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
61.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
61.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
61.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
61.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
60.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
60.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
60.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
60.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
60.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
59.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
59.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
59.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
58.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
58.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
58.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
58.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
57.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
57.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
57.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
57.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
56.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
56.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
56.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
55.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
55.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
55.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
55.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
55.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
55.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
54.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
54.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
54.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
54.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
53.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
53.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
53.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
53.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
53.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
53.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
53.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
51.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
51.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
51.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
50.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
50.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
47.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
45.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
45.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
45.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
44.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
42.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
39.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
CLNS1A 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
118.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
243.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
239.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
202.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
192.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
186.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
185.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
184.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
167.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
166.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
163.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
163.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
162.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
160.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
152.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
152.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
152.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
151.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
148.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
146.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
145.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
143.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
142.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
141.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
140.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
140.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
139.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
138.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
137.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
136.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
135.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
134.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
133.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
132.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
131.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
131.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
130.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
124.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
122.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
122.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
122.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
121.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
118.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
116.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
115.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
114.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
113.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
112.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
111.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
111.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
110.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
110.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
108.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
105.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
104.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
103.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
101.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
101.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
101.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
97.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
96.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
95.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
94.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
93.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
92.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
91.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
90.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
90.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
88.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
88.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
88.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
87.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
86.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
85.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
81.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
81.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
79.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
78.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
75.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
73.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
73.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
63.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
57.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
57.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
50.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CLNS1A 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
59.2
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
121.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
112.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
106.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
99.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
96.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
95.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
94.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
91.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
89.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
88.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
88.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
86.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
85.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
85.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
84.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
82.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
82.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
79.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
79.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
78.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
78.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
76.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
75.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
75.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
74.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
73.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
73.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
72.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
72.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
71.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
71.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
71.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
70.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
70.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
70.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
69.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
69.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
69.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
68.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
68.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
67.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
67.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
66.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
66.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
66.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
65.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
65.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
64.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
64.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
64.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
63.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
63.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
62.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
62.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
62.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
62.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
61.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
61.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
61.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
61.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
61.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
61.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
61.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
60.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
60.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
60.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
60.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
60.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
58.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
58.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
58.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
58.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
58.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
58.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
57.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
57.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
57.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
57.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
57.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
56.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
55.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
54.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
51.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
50.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
50.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
45.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
42.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
