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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.
NUCB1 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
121.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
367.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
263.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
245.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
225.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
225.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
220.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
212.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
211.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
203.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
202.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
199.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
196.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
188.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
188.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
188.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
186.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
186.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
181.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
180.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
180.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
179.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
179.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
178.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
177.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
177.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
177.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
174.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
174.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
173.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
173.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
172.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
170.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
165.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
165.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
164.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
164.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
164.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
163.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
163.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
161.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
159.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
158.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
157.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
157.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
156.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
155.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
155.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
155.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
154.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
153.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
153.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
152.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
152.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
152.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
151.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
150.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
149.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
147.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
147.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
147.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
147.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
146.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
146.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
146.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
146.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
145.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
145.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
144.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
144.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
143.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
143.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
143.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
140.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
139.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
139.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
139.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
139.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
139.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
139.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
137.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
137.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
137.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
136.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
135.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
135.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
135.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
134.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
134.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
134.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
134.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
133.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
132.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
132.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
132.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
131.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
131.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
129.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
129.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
129.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
129.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
127.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
127.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
127.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
127.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
127.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
126.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
124.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
124.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
124.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
124.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
123.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
122.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
122.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
122.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
121.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
121.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
121.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
121.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
120.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
119.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
119.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
118.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
118.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
118.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
118.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
118.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
117.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
117.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
116.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
116.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
115.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
114.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
114.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
114.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
114.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
113.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
113.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
112.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
112.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
112.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
111.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
111.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
111.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
111.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
111.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
109.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
109.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
108.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
108.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
107.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
107.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
106.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
106.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
105.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
105.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
105.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
104.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
104.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
104.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
103.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
102.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
102.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
102.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
102.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
101.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
101.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
100.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
99.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
99.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
99.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
99.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
98.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
97.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
97.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
96.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
96.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
96.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
96.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
95.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
95.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
95.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
94.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
94.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
93.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
93.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
93.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
93.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
92.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
92.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
92.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
92.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
91.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
91.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
90.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
90.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
90.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
90.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
90.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
89.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
89.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
89.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
89.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
87.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
87.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
87.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
86.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
86.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
85.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
85.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
85.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
84.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
83.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
83.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
80.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
79.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
78.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
77.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
77.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
77.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
76.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
76.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
75.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
75.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
75.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
74.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
73.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
71.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
71.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
71.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
70.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
67.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
67.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
67.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
66.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
65.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
64.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
63.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
59.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
57.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
55.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
49.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
46.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
44.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
41.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
40.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
39.9
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.
NUCB1 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
102.5
Number of samples
486
Samples
Sample
Description
TPM
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
231.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
223.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
222.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
215.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
208.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
178.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
172.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
165.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
165.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
164.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
163.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
161.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
158.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
157.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
157.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
156.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
156.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
154.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
154.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
154.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
154.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
153.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
151.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
150.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
150.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
149.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
148.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
148.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
148.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
148.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
147.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
146.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
144.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
142.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
141.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
140.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
139.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
138.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
138.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
138.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
138.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
138.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
138.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
137.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
137.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
137.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
136.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
136.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
136.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
135.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
135.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
133.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
132.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
132.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
132.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
132.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
131.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
131.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
131.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
130.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
130.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
130.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
130.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
130.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
129.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
129.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
129.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
128.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
128.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
127.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
127.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
127.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
127.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
127.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
126.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
126.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
126.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
125.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
125.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
125.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
125.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
125.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
125.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
125.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
124.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
124.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
124.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
124.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
123.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
123.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
123.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
123.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
123.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
123.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
123.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
123.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
122.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
122.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
122.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
122.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
122.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
122.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
122.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
121.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
121.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
121.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
121.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
121.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
120.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
119.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
119.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
119.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
119.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
118.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
118.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
118.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
118.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
117.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
117.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
117.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
117.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
117.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
117.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
116.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
116.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
116.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
116.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
116.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
116.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
115.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
115.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
115.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
115.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
114.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
114.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
114.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
114.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
114.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
114.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
114.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
114.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
113.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
113.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
113.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
113.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
113.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
113.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
113.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
113.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
113.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
113.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
112.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
112.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
112.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
112.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
112.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
112.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
112.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
112.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
112.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
111.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
111.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
110.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
110.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
110.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
110.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
110.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
110.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
109.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
109.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
109.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
109.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
109.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
109.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
108.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
108.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
108.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
108.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
108.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
108.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
107.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
107.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
107.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
107.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
107.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
107.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
107.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
107.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
107.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
107.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
106.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
106.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
106.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
106.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
106.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
106.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
106.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
106.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
105.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
105.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
105.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
105.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
105.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
105.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
105.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
105.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
105.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
105.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
104.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
104.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
104.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
104.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
104.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
104.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
104.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
103.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
103.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
102.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
102.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
102.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
102.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
102.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
102.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
102.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
102.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
102.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
102.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
102.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
101.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
101.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
101.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
101.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
101.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
101.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
101.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
101.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
101.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
101.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
100.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
100.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
100.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
100.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
100.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
100.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
100.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
99.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
99.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
99.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
99.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
99.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
99.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
99.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
99.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
99.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
99.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
98.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
98.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
98.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
98.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
98.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
98.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
98.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
98.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
98.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
98.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
98.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
98.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
97.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
97.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
96.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
96.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
96.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
96.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
96.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
96.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
96.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
96.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
96.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
96.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
95.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
95.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
95.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
95.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
95.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
95.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
95.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
94.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
94.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
94.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
94.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
94.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
94.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
93.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
93.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
93.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
93.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
93.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
93.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
92.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
92.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
92.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
92.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
92.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
92.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
92.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
92.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
91.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
91.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
91.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
91.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
90.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
90.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
90.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
90.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
90.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
90.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
90.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
90.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
90.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
90.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
90.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
90.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
89.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
89.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
89.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
89.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
89.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
89.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
89.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
88.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
88.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
88.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
88.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
88.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
87.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
87.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
87.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
87.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
87.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
87.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
87.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
87.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
87.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
86.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
86.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
86.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
86.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
86.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
86.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
86.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
86.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
85.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
85.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
85.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
85.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
85.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
85.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
85.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
85.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
85.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
84.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
84.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
84.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
84.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
84.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
84.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
84.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
83.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
83.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
83.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
82.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
82.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
82.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
82.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
82.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
81.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
81.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
80.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
80.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
80.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
80.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
80.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
80.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
80.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
80.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
79.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
78.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
78.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
77.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
77.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
77.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
77.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
77.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
76.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
76.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
76.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
76.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
76.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
76.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
76.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
75.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
75.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
75.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
74.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
74.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
73.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
72.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
72.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
72.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
71.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
71.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
71.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
71.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
70.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
70.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
70.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
69.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
69.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
68.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
68.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
68.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
68.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
67.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
67.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
67.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
65.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
65.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
65.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
65.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
64.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
64.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
63.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
63.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
63.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
62.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
59.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
58.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
58.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
57.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
57.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
54.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
54.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
50.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NUCB1 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
114.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
229.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
221.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
200.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
189.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
179.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
174.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
171.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
163.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
159.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
154.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
153.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
151.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
150.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
150.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
149.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
148.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
147.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
147.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
143.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
142.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
140.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
137.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
136.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
135.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
135.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
135.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
134.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
133.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
132.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
132.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
132.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
131.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
130.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
129.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
128.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
126.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
126.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
125.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
125.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
123.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
123.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
123.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
121.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
121.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
119.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
115.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
114.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
114.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
113.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
112.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
111.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
110.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
109.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
106.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
104.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
102.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
100.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
99.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
97.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
96.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
94.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
93.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
91.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
91.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
88.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
86.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
85.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
80.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
76.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
75.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
74.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
74.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
72.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
68.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
68.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
66.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
65.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
64.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
62.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
62.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
53.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
14.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
NUCB1 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
93.5
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
199.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
183.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
172.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
166.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
159.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
155.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
153.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
152.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
147.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
143.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
139.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
138.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
138.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
134.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
133.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
132.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
130.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
130.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
129.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
128.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
127.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
127.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
126.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
126.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
124.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
123.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
122.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
119.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
118.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
117.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
117.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
117.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
117.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
115.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
115.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
112.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
111.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
111.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
111.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
110.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
110.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
110.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
110.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
109.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
109.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
108.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
108.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
108.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
107.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
107.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
107.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
107.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
105.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
105.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
104.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
104.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
104.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
104.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
104.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
103.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
103.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
102.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
102.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
102.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
102.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
102.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
101.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
101.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
100.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
100.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
99.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
99.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
99.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
98.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
98.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
98.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
98.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
98.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
97.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
97.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
96.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
96.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
96.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
96.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
96.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
96.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
95.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
95.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
95.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
95.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
95.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
94.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
93.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
93.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
93.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
93.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
93.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
92.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
91.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
91.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
91.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
91.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
91.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
90.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
90.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
90.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
89.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
88.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
88.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
88.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
88.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
88.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
87.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
87.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
87.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
87.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
86.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
86.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
86.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
86.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
86.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
85.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
84.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
84.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
84.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
83.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
83.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
83.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
83.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
82.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
82.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
82.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
81.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
80.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
80.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
80.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
80.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
79.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
79.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
79.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
78.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
78.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
78.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
78.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
78.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
77.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
77.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
76.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
76.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
76.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
76.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
76.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
75.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
74.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
74.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
74.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
73.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
73.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
73.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
73.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
72.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
72.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
71.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
70.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
70.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
70.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
70.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
70.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
69.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
69.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
68.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
67.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
67.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
66.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
66.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
65.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
64.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
63.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
62.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
61.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
61.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
61.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
59.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
57.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
57.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
52.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
50.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
49.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
42.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
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
