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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.
UBALD2 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
105.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
335.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
228.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
225.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
217.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
213.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
211.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
204.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
203.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
194.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
191.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
190.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
172.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
169.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
168.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
167.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
167.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
165.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
165.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
164.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
163.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
162.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
162.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
161.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
160.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
159.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
159.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
158.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
157.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
155.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
154.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
153.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
152.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
152.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
150.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
150.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
147.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
144.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
143.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
142.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
142.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
141.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
140.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
139.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
137.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
137.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
136.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
136.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
135.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
135.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
135.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
134.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
134.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
133.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
132.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
131.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
130.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
130.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
129.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
129.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
129.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
128.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
128.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
126.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
126.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
125.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
124.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
123.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
122.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
122.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
122.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
121.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
121.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
121.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
120.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
120.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
120.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
119.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
118.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
116.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
115.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
114.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
114.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
114.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
113.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
113.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
113.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
112.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
111.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
110.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
110.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
110.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
110.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
109.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
109.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
109.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
109.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
109.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
108.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
108.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
108.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
108.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
108.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
107.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
106.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
106.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
105.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
105.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
104.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
104.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
103.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
103.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
103.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
103.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
102.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
102.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
102.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
101.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
101.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
100.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
100.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
99.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
99.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
99.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
99.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
99.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
99.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
99.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
98.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
98.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
98.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
98.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
98.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
97.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
97.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
97.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
96.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
96.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
95.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
94.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
94.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
94.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
94.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
93.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
93.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
92.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
92.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
92.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
92.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
91.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
90.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
90.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
90.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
90.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
90.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
90.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
89.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
89.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
88.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
87.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
86.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
86.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
85.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
85.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
85.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
84.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
84.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
83.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
83.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
83.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
83.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
83.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
83.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
83.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
82.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
82.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
81.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
80.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
80.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
80.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
79.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
78.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
78.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
78.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
77.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
77.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
76.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
76.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
76.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
75.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
74.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
74.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
73.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
73.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
72.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
72.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
72.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
72.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
71.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
71.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
71.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
70.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
70.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
69.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
68.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
68.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
67.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
67.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
65.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
64.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
63.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
63.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
61.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
61.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
60.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
57.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
57.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
55.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
55.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
54.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
52.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
52.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
51.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
51.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
44.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
38.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
28.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
18.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBALD2 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
113.9
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
337.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
289.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
234.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
230.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
228.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
220.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
216.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
211.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
195.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
194.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
193.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
192.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
191.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
189.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
189.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
186.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
183.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
182.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
177.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
176.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
176.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
173.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
172.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
171.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
170.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
169.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
169.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
168.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
168.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
168.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
168.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
166.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
166.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
165.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
165.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
163.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
163.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
163.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
163.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
162.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
162.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
162.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
162.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
160.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
159.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
158.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
158.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
158.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
157.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
157.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
157.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
157.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
156.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
156.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
154.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
154.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
154.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
154.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
154.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
154.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
152.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
152.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
151.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
150.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
150.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
150.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
148.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
147.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
147.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
147.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
146.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
146.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
146.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
145.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
145.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
145.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
145.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
144.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
144.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
144.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
144.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
143.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
143.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
143.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
142.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
142.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
142.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
142.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
141.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
141.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
141.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
140.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
140.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
139.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
139.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
139.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
139.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
138.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
137.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
137.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
137.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
137.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
137.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
137.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
137.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
137.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
137.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
137.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
137.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
136.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
136.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
136.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
136.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
135.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
134.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
133.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
133.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
133.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
133.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
133.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
132.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
132.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
132.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
132.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
132.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
132.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
131.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
131.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
131.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
130.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
130.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
130.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
130.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
130.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
129.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
129.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
129.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
128.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
128.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
128.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
128.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
127.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
127.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
127.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
127.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
127.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
126.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
126.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
126.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
126.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
126.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
126.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
126.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
125.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
125.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
125.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
125.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
125.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
125.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
125.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
124.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
124.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
123.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
123.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
123.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
123.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
122.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
122.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
122.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
121.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
121.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
120.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
120.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
120.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
120.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
120.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
120.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
120.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
119.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
119.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
119.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
119.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
119.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
119.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
119.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
119.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
119.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
118.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
118.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
118.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
118.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
117.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
117.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
117.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
117.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
117.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
117.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
116.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
116.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
116.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
115.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
115.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
115.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
115.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
115.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
115.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
115.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
114.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
114.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
114.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
114.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
114.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
113.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
113.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
113.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
113.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
113.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
113.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
113.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
113.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
112.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
112.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
112.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
112.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
112.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
111.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
111.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
111.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
110.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
110.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
110.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
109.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
109.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
108.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
108.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
108.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
108.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
108.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
108.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
108.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
107.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
107.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
107.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
107.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
107.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
107.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
107.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
107.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
106.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
106.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
106.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
106.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
105.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
105.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
105.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
105.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
105.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
104.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
104.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
104.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
104.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
104.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
104.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
104.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
104.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
104.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
103.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
103.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
103.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
103.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
103.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
103.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
102.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
102.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
102.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
102.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
102.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
102.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
102.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
102.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
102.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
102.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
102.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
102.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
101.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
101.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
101.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
101.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
101.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
101.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
100.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
100.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
100.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
100.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
100.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
99.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
99.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
99.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
98.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
98.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
97.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
97.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
97.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
97.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
97.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
97.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
97.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
97.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
97.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
97.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
96.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
96.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
96.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
96.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
96.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
96.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
96.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
96.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
96.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
96.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
96.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
96.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
95.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
95.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
95.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
95.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
95.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
95.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
95.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
95.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
95.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
94.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
94.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
94.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
94.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
94.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
94.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
94.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
94.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
94.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
94.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
93.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
93.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
93.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
93.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
93.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
93.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
93.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
93.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
92.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
92.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
92.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
92.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
92.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
92.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
92.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
92.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
92.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
91.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
91.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
91.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
90.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
90.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
90.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
90.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
89.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
88.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
88.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
88.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
88.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
88.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
88.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
87.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
87.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
87.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
87.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
86.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
86.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
86.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
86.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
86.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
85.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
85.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
85.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
85.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
85.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
85.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
85.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
84.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
84.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
84.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
84.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
84.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
84.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
83.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
83.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
83.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
83.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
83.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
83.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
83.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
83.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
83.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
83.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
83.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
83.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
83.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
83.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
82.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
82.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
82.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
82.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
81.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
81.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
81.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
81.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
81.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
80.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
80.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
80.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
80.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
80.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
79.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
79.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
79.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
79.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
79.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
78.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
77.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
77.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
76.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
75.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
75.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
74.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
74.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
74.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
74.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
73.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
72.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
72.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
71.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
70.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
68.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
67.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
66.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
66.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
64.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
63.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
62.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
55.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
48.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
46.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
11.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
UBALD2 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
104.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
264.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
179.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
179.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
163.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
156.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
155.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
153.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
152.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
152.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
151.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
149.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
148.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
144.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
143.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
141.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
135.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
134.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
134.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
133.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
132.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
130.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
129.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
123.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
122.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
122.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
121.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
121.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
120.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
118.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
118.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
117.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
114.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
113.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
113.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
113.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
112.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
109.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
109.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
107.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
104.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
103.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
100.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
98.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
98.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
97.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
97.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
96.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
96.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
95.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
93.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
93.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
91.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
90.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
89.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
88.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
87.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
87.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
85.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
84.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
82.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
81.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
81.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
80.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
80.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
77.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
76.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
75.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
74.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
73.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
72.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
72.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
71.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
71.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
71.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
70.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
67.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
64.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
62.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
62.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
60.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
57.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
52.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
46.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
44.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 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.
UBALD2 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
100.3
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
188.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
172.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
168.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
167.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
165.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
164.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
161.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
158.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
158.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
156.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
155.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
155.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
154.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
153.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
151.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
150.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
150.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
149.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
148.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
147.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
146.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
142.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
139.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
139.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
138.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
137.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
137.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
136.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
136.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
136.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
134.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
131.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
131.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
131.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
128.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
127.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
127.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
125.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
125.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
125.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
125.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
125.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
123.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
122.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
122.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
122.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
122.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
121.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
121.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
120.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
120.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
120.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
119.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
118.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
118.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
117.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
116.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
116.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
115.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
115.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
114.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
114.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
114.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
113.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
111.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
111.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
111.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
109.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
108.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
108.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
107.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
106.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
106.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
105.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
105.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
105.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
105.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
105.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
104.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
104.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
104.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
103.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
103.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
103.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
102.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
102.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
102.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
101.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
101.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
101.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
101.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
101.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
101.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
101.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
100.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
100.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
100.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
100.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
99.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
98.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
96.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
96.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
96.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
95.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
95.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
94.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
94.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
94.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
93.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
93.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
92.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
92.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
92.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
91.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
91.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
91.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
90.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
90.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
88.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
88.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
87.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
87.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
87.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
87.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
87.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
87.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
87.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
86.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
86.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
86.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
85.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
85.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
85.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
85.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
84.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
84.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
84.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
84.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
84.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
82.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
82.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
82.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
82.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
82.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
81.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
81.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
80.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
80.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
79.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
79.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
78.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
76.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
76.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
76.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
76.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
76.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
75.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
75.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
74.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
74.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
73.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
73.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
73.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
72.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
71.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
70.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
69.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
67.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
67.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
67.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
67.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
67.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
66.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
64.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
63.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
62.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
61.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
60.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
59.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
46.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
44.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
