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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.
SNX3 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
115.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
205.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
193.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
184.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
183.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
182.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
182.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
172.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
170.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
169.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
168.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
167.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
163.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
162.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
160.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
160.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
159.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
159.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
158.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
158.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
157.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
155.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
155.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
153.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
153.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
152.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
151.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
150.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
150.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
150.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
148.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
148.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
147.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
147.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
145.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
145.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
144.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
144.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
144.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
143.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
143.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
142.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
141.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
140.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
140.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
140.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
140.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
139.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
139.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
136.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
135.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
135.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
135.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
134.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
132.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
132.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
132.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
132.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
132.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
132.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
132.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
132.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
131.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
131.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
130.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
130.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
129.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
129.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
129.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
129.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
128.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
128.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
128.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
127.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
127.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
127.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
126.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
126.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
126.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
125.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
125.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
125.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
124.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
124.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
124.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
124.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
123.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
122.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
122.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
122.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
122.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
122.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
121.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
121.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
121.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
121.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
121.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
120.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
119.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
119.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
119.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
119.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
119.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
119.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
119.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
117.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
117.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
117.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
117.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
116.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
116.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
116.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
116.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
116.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
115.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
115.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
115.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
115.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
115.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
115.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
114.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
114.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
114.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
114.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
114.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
113.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
113.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
113.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
113.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
113.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
113.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
113.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
112.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
112.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
112.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
112.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
112.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
111.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
111.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
111.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
111.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
110.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
109.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
108.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
108.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
108.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
107.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
107.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
106.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
106.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
106.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
106.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
106.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
106.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
106.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
105.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
105.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
105.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
104.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
104.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
104.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
104.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
104.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
103.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
103.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
103.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
102.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
102.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
102.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
102.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
101.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
100.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
100.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
99.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
99.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
99.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
99.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
99.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
99.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
99.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
99.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
98.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
98.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
98.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
98.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
98.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
98.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
98.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
98.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
97.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
97.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
97.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
96.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
96.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
95.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
95.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
95.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
95.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
94.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
94.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
93.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
93.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
93.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
93.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
91.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
91.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
90.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
90.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
89.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
89.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
89.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
88.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
88.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
88.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
87.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
87.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
87.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
86.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
86.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
85.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
85.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
84.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
84.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
83.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
82.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
82.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
82.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
81.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
81.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
80.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
79.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
79.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
77.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
76.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
76.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
76.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
76.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
75.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
75.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
75.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
74.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
73.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
73.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
71.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
69.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
69.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
67.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
65.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
65.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
65.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 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.
SNX3 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
111.7
Number of samples
486
Samples
Sample
Description
TPM
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
212.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
206.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
205.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
202.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
195.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
190.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
189.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
188.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
187.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
182.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
181.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
180.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
179.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
176.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
175.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
174.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
173.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
172.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
172.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
172.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
171.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
171.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
163.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
162.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
160.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
159.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
159.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
159.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
159.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
157.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
157.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
156.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
156.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
155.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
155.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
155.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
154.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
153.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
153.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
152.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
151.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
151.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
150.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
150.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
150.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
149.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
149.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
149.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
149.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
148.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
148.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
148.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
147.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
147.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
146.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
146.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
146.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
145.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
144.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
144.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
143.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
143.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
143.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
142.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
142.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
141.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
141.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
141.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
141.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
141.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
141.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
141.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
140.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
140.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
140.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
140.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
140.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
139.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
139.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
139.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
139.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
139.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
138.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
138.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
137.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
137.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
137.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
137.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
137.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
136.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
136.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
136.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
136.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
136.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
135.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
135.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
135.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
134.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
134.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
134.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
134.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
133.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
132.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
132.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
132.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
131.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
131.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
131.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
131.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
130.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
130.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
130.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
129.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
129.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
129.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
128.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
128.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
127.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
127.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
127.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
127.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
126.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
126.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
126.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
126.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
126.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
126.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
126.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
126.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
126.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
126.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
125.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
125.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
125.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
125.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
125.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
125.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
124.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
124.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
124.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
123.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
123.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
123.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
123.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
123.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
123.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
123.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
123.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
123.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
122.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
122.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
122.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
122.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
122.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
121.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
121.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
121.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
121.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
121.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
121.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
121.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
120.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
120.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
120.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
120.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
120.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
120.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
120.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
120.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
120.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
120.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
119.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
119.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
118.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
118.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
118.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
118.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
118.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
117.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
117.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
117.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
117.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
116.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
116.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
116.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
116.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
116.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
116.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
116.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
116.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
116.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
115.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
115.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
115.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
115.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
115.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
115.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
115.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
115.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
115.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
114.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
114.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
113.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
113.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
113.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
113.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
113.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
113.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
113.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
112.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
112.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
112.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
112.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
112.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
111.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
111.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
111.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
111.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
111.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
111.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
110.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
110.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
110.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
110.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
110.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
110.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
110.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
110.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
110.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
109.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
109.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
109.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
109.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
109.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
109.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
109.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
109.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
108.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
108.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
108.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
108.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
108.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
108.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
108.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
108.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
108.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
108.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
108.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
108.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
108.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
107.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
107.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
107.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
107.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
107.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
107.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
107.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
107.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
107.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
107.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
106.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
106.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
106.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
106.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
106.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
106.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
105.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
105.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
105.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
105.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
105.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
105.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
105.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
105.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
105.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
105.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
104.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
104.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
104.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
104.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
104.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
104.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
104.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
103.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
103.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
103.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
103.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
103.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
103.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
103.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
103.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
102.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
102.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
102.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
102.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
102.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
101.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
101.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
101.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
101.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
101.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
100.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
100.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
100.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
100.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
100.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
100.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
100.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
100.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
100.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
99.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
99.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
99.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
99.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
98.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
98.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
98.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
98.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
98.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
98.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
97.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
97.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
97.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
97.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
97.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
97.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
96.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
96.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
96.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
96.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
96.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
96.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
96.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
96.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
96.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
96.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
96.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
96.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
96.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
95.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
95.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
95.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
95.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
95.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
95.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
94.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
94.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
94.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
94.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
94.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
94.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
94.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
94.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
93.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
93.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
93.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
93.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
93.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
93.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
92.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
92.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
91.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
91.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
91.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
91.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
91.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
91.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
91.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
91.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
91.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
91.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
91.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
91.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
90.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
90.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
90.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
90.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
90.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
89.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
89.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
89.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
88.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
88.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
88.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
87.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
87.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
86.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
86.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
86.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
86.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
86.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
86.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
86.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
86.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
85.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
85.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
85.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
85.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
85.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
84.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
84.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
84.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
83.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
83.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
83.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
83.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
83.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
82.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
82.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
81.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
81.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
81.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
80.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
80.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
80.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
80.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
79.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
79.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
79.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
79.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
78.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
78.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
78.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
78.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
78.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
78.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
77.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
77.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
77.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
77.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
76.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
76.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
76.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
75.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
75.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
74.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
73.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
73.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
73.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
73.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
73.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
72.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
71.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
71.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
70.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
70.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
70.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
68.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
67.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
67.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
67.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
67.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
66.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
61.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
58.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
51.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.4
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.
SNX3 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
121.0
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
246.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
202.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
197.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
194.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
186.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
174.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
170.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
169.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
166.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
163.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
160.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
159.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
157.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
156.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
155.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
151.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
149.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
148.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
148.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
144.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
143.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
143.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
142.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
141.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
141.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
140.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
139.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
136.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
134.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
134.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
133.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
131.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
131.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
129.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
128.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
126.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
124.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
123.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
122.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
122.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
122.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
120.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
119.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
118.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
118.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
116.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
116.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
116.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
116.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
112.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
112.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
112.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
111.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
111.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
111.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
109.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
108.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
107.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
106.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
104.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
104.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
103.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
102.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
100.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
98.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
97.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
96.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
96.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
95.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
92.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
91.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
91.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
90.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
90.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
86.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
85.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
85.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
80.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
76.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
71.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
70.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
67.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
65.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
64.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
55.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
45.2
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.
SNX3 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
95.6
Number of samples
207
Samples
Sample
Description
TPM
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
179.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
174.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
169.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
167.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
155.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
146.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
143.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
139.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
136.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
136.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
135.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
133.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
132.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
132.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
131.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
129.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
128.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
127.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
127.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
125.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
125.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
123.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
122.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
122.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
119.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
119.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
119.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
119.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
118.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
118.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
117.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
117.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
116.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
116.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
114.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
114.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
114.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
114.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
113.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
113.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
112.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
112.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
112.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
112.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
111.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
111.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
111.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
111.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
111.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
111.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
110.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
110.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
110.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
110.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
110.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
109.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
109.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
109.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
108.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
108.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
108.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
108.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
108.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
107.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
107.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
107.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
107.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
106.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
106.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
106.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
106.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
105.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
105.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
105.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
104.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
104.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
103.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
103.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
103.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
102.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
101.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
101.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
101.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
101.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
99.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
99.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
99.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
98.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
98.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
96.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
96.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
96.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
96.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
96.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
96.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
95.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
95.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
95.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
95.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
95.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
94.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
94.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
94.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
93.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
93.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
93.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
93.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
92.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
92.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
92.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
92.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
92.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
91.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
91.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
91.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
90.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
90.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
90.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
89.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
89.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
89.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
88.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
88.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
88.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
88.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
88.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
88.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
87.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
87.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
86.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
86.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
86.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
85.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
85.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
85.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
85.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
84.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
84.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
83.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
83.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
83.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
83.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
82.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
82.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
82.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
81.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
81.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
81.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
81.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
80.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
80.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
80.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
79.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
78.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
78.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
78.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
78.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
77.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
76.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
76.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
76.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
76.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
75.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
75.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
75.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
75.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
75.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
74.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
74.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
74.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
74.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
74.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
74.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
73.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
73.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
72.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
71.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
70.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
70.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
68.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
68.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
68.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
68.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
67.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
66.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
66.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
63.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
61.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
60.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
60.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
58.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
58.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
47.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
41.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
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Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
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Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
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Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
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Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
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Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
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Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
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Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
