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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.
DUS1L 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
123.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
282.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
266.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
250.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
248.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
227.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
225.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
221.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
220.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
217.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
216.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
210.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
206.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
205.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
205.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
203.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
200.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
198.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
196.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
196.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
194.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
194.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
193.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
190.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
189.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
189.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
185.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
183.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
182.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
182.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
181.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
180.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
180.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
179.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
179.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
179.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
179.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
178.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
177.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
176.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
175.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
174.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
169.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
169.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
169.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
167.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
166.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
163.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
162.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
161.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
161.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
160.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
159.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
158.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
158.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
156.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
155.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
155.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
155.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
154.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
152.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
152.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
150.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
150.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
149.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
149.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
146.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
145.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
145.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
143.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
143.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
142.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
141.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
140.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
140.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
139.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
138.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
137.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
137.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
136.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
136.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
136.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
135.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
135.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
135.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
134.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
133.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
133.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
133.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
133.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
133.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
133.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
132.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
131.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
131.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
131.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
130.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
130.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
130.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
128.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
128.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
128.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
127.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
126.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
126.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
126.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
125.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
125.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
125.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
122.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
122.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
122.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
122.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
121.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
121.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
121.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
120.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
120.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
120.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
119.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
119.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
118.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
118.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
118.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
118.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
118.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
117.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
117.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
117.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
117.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
117.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
117.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
116.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
116.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
116.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
115.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
114.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
114.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
114.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
112.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
112.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
112.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
111.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
111.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
111.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
111.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
111.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
111.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
110.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
110.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
110.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
110.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
109.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
108.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
108.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
107.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
107.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
107.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
106.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
105.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
105.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
105.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
104.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
104.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
104.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
103.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
103.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
103.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
103.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
102.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
101.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
101.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
101.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
100.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
99.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
99.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
98.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
98.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
98.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
97.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
96.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
96.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
95.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
95.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
94.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
94.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
94.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
93.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
93.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
93.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
93.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
92.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
92.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
92.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
91.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
91.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
89.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
88.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
88.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
88.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
88.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
87.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
87.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
86.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
86.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
86.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
86.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
84.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
84.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
83.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
82.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
82.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
82.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
81.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
80.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
79.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
79.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
78.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
76.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
74.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
73.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
73.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
72.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
71.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
71.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
71.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
68.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
68.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
67.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
67.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
67.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
64.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
62.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
61.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
60.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
57.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
56.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
52.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
48.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
DUS1L 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
69.9
Number of samples
486
Samples
Sample
Description
TPM
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
197.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
154.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
140.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
136.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
135.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
135.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
135.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
127.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
126.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
122.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
122.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
121.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
119.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
117.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
115.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
115.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
114.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
114.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
114.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
114.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
113.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
111.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
109.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
109.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
109.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
108.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
108.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
108.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
108.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
106.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
106.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
106.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
105.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
105.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
105.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
105.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
103.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
103.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
102.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
102.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
102.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
102.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
101.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
101.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
100.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
99.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
99.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
99.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
98.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
97.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
97.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
97.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
96.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
96.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
96.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
96.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
96.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
95.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
95.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
94.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
94.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
94.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
94.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
94.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
93.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
92.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
92.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
92.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
92.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
91.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
91.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
91.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
90.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
90.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
90.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
90.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
89.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
89.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
89.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
89.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
89.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
89.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
89.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
88.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
88.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
87.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
87.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
87.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
87.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
87.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
86.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
86.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
85.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
85.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
85.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
85.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
85.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
85.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
84.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
84.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
83.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
83.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
83.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
83.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
83.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
82.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
82.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
82.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
82.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
81.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
81.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
80.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
80.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
80.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
80.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
80.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
80.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
80.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
80.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
79.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
79.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
79.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
78.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
78.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
78.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
78.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
78.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
78.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
78.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
78.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
77.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
77.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
77.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
77.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
77.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
77.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
77.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
76.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
76.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
76.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
76.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
76.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
76.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
75.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
75.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
75.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
74.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
74.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
74.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
74.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
74.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
74.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
73.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
73.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
73.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
73.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
73.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
73.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
73.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
72.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
72.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
72.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
72.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
72.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
72.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
72.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
71.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
71.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
71.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
71.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
71.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
70.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
70.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
70.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
69.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
69.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
69.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
69.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
69.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
68.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
68.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
68.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
67.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
67.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
67.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
67.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
67.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
67.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
67.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
66.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
66.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
66.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
65.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
65.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
65.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
64.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
64.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
64.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
64.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
64.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
64.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
64.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
63.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
63.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
63.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
63.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
63.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
63.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
63.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
63.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
62.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
62.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
62.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
62.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
62.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
62.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
62.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
61.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
61.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
61.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
61.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
61.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
60.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
60.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
60.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
60.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
59.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
59.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
59.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
58.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
58.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
58.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
58.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
58.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
58.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
57.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
57.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
56.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
56.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
56.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
55.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
55.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
55.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
55.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
55.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
55.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
54.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
54.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
53.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
53.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
52.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
52.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
52.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
52.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
51.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
51.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
51.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
51.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
50.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
49.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
46.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
45.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
44.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
42.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
41.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
38.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
30.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
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.
DUS1L 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
111.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
229.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
217.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
182.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
180.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
167.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
166.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
160.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
156.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
154.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
151.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
151.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
149.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
145.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
140.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
139.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
138.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
137.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
136.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
136.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
136.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
135.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
133.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
132.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
129.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
128.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
125.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
120.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
120.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
117.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
117.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
116.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
116.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
116.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
115.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
115.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
115.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
112.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
112.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
111.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
111.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
110.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
107.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
107.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
106.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
104.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
101.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
101.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
100.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
99.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
98.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
98.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
97.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
96.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
95.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
95.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
95.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
95.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
94.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
92.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
92.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
90.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
90.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
90.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
90.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
89.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
88.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
88.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
88.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
88.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
87.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
86.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
86.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
86.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
83.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
80.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
79.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
78.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
78.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
77.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
75.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
70.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
64.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
60.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
58.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
56.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 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.
DUS1L 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
66.9
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
143.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
136.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
125.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
115.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
113.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
112.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
111.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
111.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
110.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
105.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
104.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
103.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
100.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
100.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
99.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
99.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
97.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
95.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
94.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
94.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
93.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
93.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
93.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
91.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
89.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
88.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
88.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
86.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
86.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
85.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
85.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
84.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
84.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
84.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
84.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
82.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
81.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
81.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
81.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
81.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
80.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
80.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
78.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
78.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
78.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
78.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
77.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
76.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
76.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
76.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
75.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
75.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
75.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
75.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
74.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
74.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
74.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
73.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
72.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
71.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
71.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
71.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
70.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
69.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
68.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
68.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
67.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
67.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
67.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
67.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
67.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
66.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
65.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
65.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
64.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
63.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
63.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
63.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
62.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
62.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
62.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
61.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
61.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
61.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
60.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
60.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
59.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
59.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
59.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
58.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
58.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
58.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
57.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
57.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
57.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
57.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
57.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
55.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
54.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
54.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
53.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
52.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
51.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
51.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
48.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
46.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
45.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
44.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
37.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
36.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.8
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
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
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
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
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
8b9e4266-7754-4f2c-ac9e-329905_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
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_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
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
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
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_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
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
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
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
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
974e136f-7020-4a38-b9c1-094df9_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
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_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
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
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
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
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
7fd2eea8-bf99-4f97-8b9e-fb703f_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
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
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
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
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
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
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
