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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.
RTRAF 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
120.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
319.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
210.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
201.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
194.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
193.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
186.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
181.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
181.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
179.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
174.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
171.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
169.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
168.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
166.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
166.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
166.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
165.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
164.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
164.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
164.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
163.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
162.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
161.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
161.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
160.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
159.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
159.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
158.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
158.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
157.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
156.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
155.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
154.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
154.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
153.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
151.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
151.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
151.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
150.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
150.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
149.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
148.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
148.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
147.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
147.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
147.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
146.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
146.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
146.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
145.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
145.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
145.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
144.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
144.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
143.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
142.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
142.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
141.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
141.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
141.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
140.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
140.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
140.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
140.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
140.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
138.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
138.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
138.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
138.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
138.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
137.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
137.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
137.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
136.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
136.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
136.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
136.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
136.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
136.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
135.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
135.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
135.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
135.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
134.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
133.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
133.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
132.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
132.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
132.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
132.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
132.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
132.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
131.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
131.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
131.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
130.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
130.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
130.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
130.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
129.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
129.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
129.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
128.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
128.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
128.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
127.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
127.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
126.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
126.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
126.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
126.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
125.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
124.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
123.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
123.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
123.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
122.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
122.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
122.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
122.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
122.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
121.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
120.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
120.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
120.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
119.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
119.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
119.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
118.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
118.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
118.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
117.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
117.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
117.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
116.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
116.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
116.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
115.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
115.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
115.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
115.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
115.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
114.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
114.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
114.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
113.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
113.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
113.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
112.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
112.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
112.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
112.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
112.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
112.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
111.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
110.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
109.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
109.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
108.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
108.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
107.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
107.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
106.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
106.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
106.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
105.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
105.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
104.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
104.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
104.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
104.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
104.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
104.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
103.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
103.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
103.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
103.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
102.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
102.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
102.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
101.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
100.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
100.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
100.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
100.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
99.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
98.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
98.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
98.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
98.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
97.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
97.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
97.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
97.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
96.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
94.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
94.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
94.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
94.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
93.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
92.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
91.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
91.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
91.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
90.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
89.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
89.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
88.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
88.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
86.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
86.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
86.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
85.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
84.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
84.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
83.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
83.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
82.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
82.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
82.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
81.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
80.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
80.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
79.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
78.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
77.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
77.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
77.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
76.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
73.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
71.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
71.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
70.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
69.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
69.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
68.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
67.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
61.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
61.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
53.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
49.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 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.
RTRAF 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
56.5
Number of samples
486
Samples
Sample
Description
TPM
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
117.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
105.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
98.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
98.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
97.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
96.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
95.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
93.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
91.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
88.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
87.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
86.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
86.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
85.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
83.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
83.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
83.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
82.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
81.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
80.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
80.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
80.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
79.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
79.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
79.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
78.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
77.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
77.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
77.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
76.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
76.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
76.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
76.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
76.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
76.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
75.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
75.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
75.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
75.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
74.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
73.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
73.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
73.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
73.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
73.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
73.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
72.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
72.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
72.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
72.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
71.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
71.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
71.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
71.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
71.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
71.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
71.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
71.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
71.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
71.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
70.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
70.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
70.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
70.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
69.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
69.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
69.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
69.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
68.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
68.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
68.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
68.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
67.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
67.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
67.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
66.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
66.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
66.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
66.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
66.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
66.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
66.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
66.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
65.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
65.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
65.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
65.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
65.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
65.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
65.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
65.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
65.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
64.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
64.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
64.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
63.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
63.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
63.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
63.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
63.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
63.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
63.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
63.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
63.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
62.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
62.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
62.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
61.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
61.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
61.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
61.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
61.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
60.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
60.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
60.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
60.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
60.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
60.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
60.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
60.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
59.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
59.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
59.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
59.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
59.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
58.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
58.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
58.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
58.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
58.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
58.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
57.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
57.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
57.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
57.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
57.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
56.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
56.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
56.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
55.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
55.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
55.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
54.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
54.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
54.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
54.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
54.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
52.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
52.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
52.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
52.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
52.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
52.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
51.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
51.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
51.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
51.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
50.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
50.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
50.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
50.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
50.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
49.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
49.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
49.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
48.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
48.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
47.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
47.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
46.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
45.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
44.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
44.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
44.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
44.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
44.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
42.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
41.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
38.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
37.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
36.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
36.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
36.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
34.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
31.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
28.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
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.
RTRAF 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
113.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
216.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
198.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
184.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
178.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
174.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
172.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
171.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
154.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
152.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
152.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
150.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
149.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
147.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
146.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
143.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
142.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
137.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
135.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
134.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
133.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
133.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
133.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
132.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
127.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
127.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
125.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
124.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
123.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
123.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
120.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
119.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
118.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
118.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
116.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
115.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
115.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
113.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
113.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
111.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
111.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
110.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
109.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
109.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
109.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
108.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
107.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
107.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
106.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
106.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
105.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
104.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
104.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
104.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
103.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
103.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
100.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
100.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
100.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
94.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
93.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
93.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
93.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
92.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
92.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
89.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
88.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
88.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
88.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
87.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
87.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
86.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
86.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
85.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
83.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
80.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
80.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
79.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
79.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
79.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
75.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
75.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
69.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
59.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
59.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RTRAF 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
49.5
Number of samples
207
Samples
Sample
Description
TPM
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
104.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
101.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
99.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
92.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
85.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
82.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
80.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
79.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
76.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
76.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
72.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
72.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
72.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
72.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
70.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
69.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
69.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
68.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
68.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
67.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
65.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
64.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
63.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
63.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
63.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
63.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
62.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
61.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
61.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
61.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
61.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
60.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
60.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
59.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
57.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
57.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
57.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
55.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
55.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
53.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
53.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
53.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
52.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
51.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
50.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
50.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
48.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
48.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
47.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
46.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
45.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
45.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
43.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
43.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
41.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
38.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
37.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
34.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
29.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
25.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.1
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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
