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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.
BUD23 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
112.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
236.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
235.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
205.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
204.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
200.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
196.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
195.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
191.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
186.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
186.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
183.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
179.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
178.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
178.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
176.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
172.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
171.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
171.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
171.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
165.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
165.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
164.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
164.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
162.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
161.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
160.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
159.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
158.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
158.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
157.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
155.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
154.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
154.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
151.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
151.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
148.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
147.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
147.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
146.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
146.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
143.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
143.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
142.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
142.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
142.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
142.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
139.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
138.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
136.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
135.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
134.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
134.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
134.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
134.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
133.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
133.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
133.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
133.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
132.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
132.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
131.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
130.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
129.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
129.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
129.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
129.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
128.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
128.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
127.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
127.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
126.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
125.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
125.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
125.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
124.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
124.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
124.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
123.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
123.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
123.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
123.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
123.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
122.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
122.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
122.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
122.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
121.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
120.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
120.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
120.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
120.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
119.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
119.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
119.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
118.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
118.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
118.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
116.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
116.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
115.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
114.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
114.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
114.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
113.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
113.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
112.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
111.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
111.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
111.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
110.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
110.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
110.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
109.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
109.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
108.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
108.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
108.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
107.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
107.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
107.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
106.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
106.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
105.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
105.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
105.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
105.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
105.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
104.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
104.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
103.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
102.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
102.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
102.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
102.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
102.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
101.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
101.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
101.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
101.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
101.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
100.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
100.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
100.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
99.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
99.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
99.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
99.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
99.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
99.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
99.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
98.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
98.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
98.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
97.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
97.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
97.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
97.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
97.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
96.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
96.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
96.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
95.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
95.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
95.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
95.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
95.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
94.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
94.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
94.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
94.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
94.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
93.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
93.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
92.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
92.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
92.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
92.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
92.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
91.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
91.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
91.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
91.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
91.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
91.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
90.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
90.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
90.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
90.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
90.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
90.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
90.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
90.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
89.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
89.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
89.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
89.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
89.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
88.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
88.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
88.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
88.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
88.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
86.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
86.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
86.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
86.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
85.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
85.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
85.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
84.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
84.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
84.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
82.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
81.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
80.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
79.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
79.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
78.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
78.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
78.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
77.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
77.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
76.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
76.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
75.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
75.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
75.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
74.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
72.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
71.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
71.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
70.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
68.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
67.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
66.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
65.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
65.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
65.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
62.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
61.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
60.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
51.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
49.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
48.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
42.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
BUD23 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
41.5
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
96.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
88.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
82.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
78.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
77.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
74.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
69.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
68.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
68.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
67.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
65.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
65.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
65.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
65.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
65.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
63.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
62.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
62.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
61.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
61.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
60.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
59.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
59.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
58.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
58.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
56.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
56.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
56.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
55.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
55.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
55.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
55.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
55.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
54.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
54.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
54.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
53.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
53.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
53.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
53.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
53.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
52.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
51.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
51.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
51.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
51.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
50.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
49.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
49.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
49.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
49.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
48.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
47.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
47.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
47.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
45.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
45.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
45.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
45.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
44.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
44.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
43.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
43.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
43.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
42.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
42.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
42.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
42.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
41.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
40.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
40.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
39.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
38.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
38.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
37.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
37.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
36.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
36.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
36.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
35.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
35.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
35.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
35.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
35.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
35.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
34.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
34.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
34.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
34.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
33.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
33.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
32.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
32.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
32.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
32.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
31.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
31.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
30.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
29.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
29.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
29.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
29.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
28.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
28.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
28.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
28.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
27.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
27.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
27.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
27.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
27.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
27.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
27.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
26.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
26.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
26.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
26.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
26.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
25.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
25.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
24.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
24.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
24.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
23.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
23.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
22.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
22.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
22.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
21.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
19.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
19.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
19.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
18.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
17.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
BUD23 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
113.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
233.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
187.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
183.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
181.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
171.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
170.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
159.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
157.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
157.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
156.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
155.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
149.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
148.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
148.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
145.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
143.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
142.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
139.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
139.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
139.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
136.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
133.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
131.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
129.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
129.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
128.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
126.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
126.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
123.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
122.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
121.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
120.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
118.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
117.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
116.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
115.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
115.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
115.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
113.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
112.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
111.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
111.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
109.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
109.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
108.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
108.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
108.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
107.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
105.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
105.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
104.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
102.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
102.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
101.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
100.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
100.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
99.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
98.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
97.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
96.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
96.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
96.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
94.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
91.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
90.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
88.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
88.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
85.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
84.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
83.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
83.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
82.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
81.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
78.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
77.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
76.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
73.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
73.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
71.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
66.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
64.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 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.
BUD23 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
37.7
Number of samples
207
Samples
Sample
Description
TPM
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
91.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
87.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
75.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
68.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
68.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
61.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
56.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
54.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
50.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
50.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
48.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
48.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
46.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
46.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
43.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
37.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
36.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
34.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
32.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
30.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
30.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
30.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
29.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
29.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
26.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
26.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
26.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
25.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
24.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
24.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
24.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
24.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
24.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
22.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
22.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
21.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
20.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
17.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
17.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
17.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
15.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
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Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
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Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
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Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
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Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.3
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
