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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.
TMEM219 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
122.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
239.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
230.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
223.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
212.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
209.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
201.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
201.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
198.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
185.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
183.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
183.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
181.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
178.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
178.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
176.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
174.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
173.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
172.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
172.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
171.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
168.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
168.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
168.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
167.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
167.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
166.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
166.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
165.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
164.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
160.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
160.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
160.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
159.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
159.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
158.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
158.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
157.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
157.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
156.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
156.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
156.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
155.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
153.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
152.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
151.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
151.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
151.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
151.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
150.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
149.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
149.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
149.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
148.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
147.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
147.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
147.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
147.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
143.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
143.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
142.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
141.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
141.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
141.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
139.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
138.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
138.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
138.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
138.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
138.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
137.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
137.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
136.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
136.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
135.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
135.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
135.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
135.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
134.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
134.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
133.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
133.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
133.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
133.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
132.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
132.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
132.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
132.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
132.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
131.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
131.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
131.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
131.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
131.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
130.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
129.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
129.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
129.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
128.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
128.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
128.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
128.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
128.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
128.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
128.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
127.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
127.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
127.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
126.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
126.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
125.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
124.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
124.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
123.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
122.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
122.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
122.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
121.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
121.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
121.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
121.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
121.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
121.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
120.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
120.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
119.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
119.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
119.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
119.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
119.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
118.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
117.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
117.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
117.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
117.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
117.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
117.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
116.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
116.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
116.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
116.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
115.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
115.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
114.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
114.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
114.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
113.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
113.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
113.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
112.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
112.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
111.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
111.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
111.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
111.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
111.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
110.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
110.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
110.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
109.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
109.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
108.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
108.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
108.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
108.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
107.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
107.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
107.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
106.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
106.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
106.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
106.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
106.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
105.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
105.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
105.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
105.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
105.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
105.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
105.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
104.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
104.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
104.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
104.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
103.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
103.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
103.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
102.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
102.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
102.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
101.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
101.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
101.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
100.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
100.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
99.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
99.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
99.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
98.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
98.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
98.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
98.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
98.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
97.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
97.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
97.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
97.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
97.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
97.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
96.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
95.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
95.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
95.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
94.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
93.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
93.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
92.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
92.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
91.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
91.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
91.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
90.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
89.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
89.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
89.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
89.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
87.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
87.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
87.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
86.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
85.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
85.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
85.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
84.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
84.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
84.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
83.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
83.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
81.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
77.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
75.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
75.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
74.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
68.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
64.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
56.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
50.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
47.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 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.
TMEM219 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
78.6
Number of samples
486
Samples
Sample
Description
TPM
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
170.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
155.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
147.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
138.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
135.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
131.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
128.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
125.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
124.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
121.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
120.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
120.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
120.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
120.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
119.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
118.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
116.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
115.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
115.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
115.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
111.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
111.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
110.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
109.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
108.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
107.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
107.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
107.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
106.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
106.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
106.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
105.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
105.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
104.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
104.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
104.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
104.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
103.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
102.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
102.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
102.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
102.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
102.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
101.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
101.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
101.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
101.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
100.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
100.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
100.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
100.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
99.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
99.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
98.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
98.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
98.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
98.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
97.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
97.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
97.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
96.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
96.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
96.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
96.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
96.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
95.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
95.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
95.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
95.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
94.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
94.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
94.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
94.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
94.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
94.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
94.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
93.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
93.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
92.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
92.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
92.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
92.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
92.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
92.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
92.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
92.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
92.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
91.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
91.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
90.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
90.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
90.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
90.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
90.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
90.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
90.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
90.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
90.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
89.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
89.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
89.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
89.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
89.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
88.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
88.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
88.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
88.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
88.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
88.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
88.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
88.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
87.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
87.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
87.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
87.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
87.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
87.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
87.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
87.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
87.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
86.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
86.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
86.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
86.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
86.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
86.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
85.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
85.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
85.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
85.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
85.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
85.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
85.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
85.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
85.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
85.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
84.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
84.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
84.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
84.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
84.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
83.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
83.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
83.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
83.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
83.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
83.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
83.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
83.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
83.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
82.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
82.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
82.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
82.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
82.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
82.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
82.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
82.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
82.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
82.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
82.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
82.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
82.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
82.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
82.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
81.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
81.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
81.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
81.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
81.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
81.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
81.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
80.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
80.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
80.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
80.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
80.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
80.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
80.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
80.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
80.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
80.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
80.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
80.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
80.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
79.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
79.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
79.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
79.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
79.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
79.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
79.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
79.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
78.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
78.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
78.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
78.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
78.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
78.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
78.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
78.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
78.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
78.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
78.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
78.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
78.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
78.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
78.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
78.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
77.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
77.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
77.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
77.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
77.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
77.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
77.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
77.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
76.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
76.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
76.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
76.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
76.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
76.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
76.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
76.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
76.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
75.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
75.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
75.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
75.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
75.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
75.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
75.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
75.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
74.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
74.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
74.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
74.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
74.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
74.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
74.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
74.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
74.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
74.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
74.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
74.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
73.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
73.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
73.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
73.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
73.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
73.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
73.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
73.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
73.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
73.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
73.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
72.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
72.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
72.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
72.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
72.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
72.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
72.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
71.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
71.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
71.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
71.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
71.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
71.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
71.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
71.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
71.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
71.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
70.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
70.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
70.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
70.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
70.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
70.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
70.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
70.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
70.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
69.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
69.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
69.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
69.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
69.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
69.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
69.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
69.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
69.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
69.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
68.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
68.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
68.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
68.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
68.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
68.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
68.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
67.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
67.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
67.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
67.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
67.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
67.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
67.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
66.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
66.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
66.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
66.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
65.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
64.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
64.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
64.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
63.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
63.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
63.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
63.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
63.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
62.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
62.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
62.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
62.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
62.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
62.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
61.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
61.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
60.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
60.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
60.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
59.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
59.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
59.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
58.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
57.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
57.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
57.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
56.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
55.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
55.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
54.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
52.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
51.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
48.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
45.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMEM219 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
117.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
518.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
219.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
201.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
189.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
184.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
176.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
174.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
153.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
152.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
152.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
150.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
149.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
146.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
146.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
145.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
145.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
141.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
138.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
137.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
136.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
132.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
130.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
129.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
128.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
127.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
126.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
126.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
124.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
122.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
121.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
120.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
119.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
118.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
118.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
117.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
116.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
116.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
114.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
113.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
112.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
112.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
112.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
111.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
110.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
109.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
109.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
108.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
107.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
107.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
103.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
103.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
103.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
103.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
102.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
102.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
101.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
101.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
101.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
100.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
98.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
98.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
96.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
96.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
95.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
91.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
90.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
90.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
90.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
90.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
89.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
89.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
89.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
89.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
88.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
86.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
84.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
80.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
73.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
72.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
67.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
65.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
57.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
TMEM219 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
72.5
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
128.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
124.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
122.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
118.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
116.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
115.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
112.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
108.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
107.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
107.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
106.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
105.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
104.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
104.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
104.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
104.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
100.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
99.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
99.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
99.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
97.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
96.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
93.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
93.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
92.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
92.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
92.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
92.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
91.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
91.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
90.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
90.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
89.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
89.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
89.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
89.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
89.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
88.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
88.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
88.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
88.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
87.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
86.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
86.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
86.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
86.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
86.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
84.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
84.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
84.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
84.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
84.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
82.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
82.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
81.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
80.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
80.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
80.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
80.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
80.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
79.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
79.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
79.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
78.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
78.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
77.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
77.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
77.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
77.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
76.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
76.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
76.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
76.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
75.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
75.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
74.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
73.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
73.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
73.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
73.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
73.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
73.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
72.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
71.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
71.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
71.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
71.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
70.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
70.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
69.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
69.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
69.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
68.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
68.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
67.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
66.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
66.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
66.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
66.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
65.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
65.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
65.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
65.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
65.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
64.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
63.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
63.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
63.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
63.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
63.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
63.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
63.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
61.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
61.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
61.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
59.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
58.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
58.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
58.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
58.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
57.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
53.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
53.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
51.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
50.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
49.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
