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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.
OSTC 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
112.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
259.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
258.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
235.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
209.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
204.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
198.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
193.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
193.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
192.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
192.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
191.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
190.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
189.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
189.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
181.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
176.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
176.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
172.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
169.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
166.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
165.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
163.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
160.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
159.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
157.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
154.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
150.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
149.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
148.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
148.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
148.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
147.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
146.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
145.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
144.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
144.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
144.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
144.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
144.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
143.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
143.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
141.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
141.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
140.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
139.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
138.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
138.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
138.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
137.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
136.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
135.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
134.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
133.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
133.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
133.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
133.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
132.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
132.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
132.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
130.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
130.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
130.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
129.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
129.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
129.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
129.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
129.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
129.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
128.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
128.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
128.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
127.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
127.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
127.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
127.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
126.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
125.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
125.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
125.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
124.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
123.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
122.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
122.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
121.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
121.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
121.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
121.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
121.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
120.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
120.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
120.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
119.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
118.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
118.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
118.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
117.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
117.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
117.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
117.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
116.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
116.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
116.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
115.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
115.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
115.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
115.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
114.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
114.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
113.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
113.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
113.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
112.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
112.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
112.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
111.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
111.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
110.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
110.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
110.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
109.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
109.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
109.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
108.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
106.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
105.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
105.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
105.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
105.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
104.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
104.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
104.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
103.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
103.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
103.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
102.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
102.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
102.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
100.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
100.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
100.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
100.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
100.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
100.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
99.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
99.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
99.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
99.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
99.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
98.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
98.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
98.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
98.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
98.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
97.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
97.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
97.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
96.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
96.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
96.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
96.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
96.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
96.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
96.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
95.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
95.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
95.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
95.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
95.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
95.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
94.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
94.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
94.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
94.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
94.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
93.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
93.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
93.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
93.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
93.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
93.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
92.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
92.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
92.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
92.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
92.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
91.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
91.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
90.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
90.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
90.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
90.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
89.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
88.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
88.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
88.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
88.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
88.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
87.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
87.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
85.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
85.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
84.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
84.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
84.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
84.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
83.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
83.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
83.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
83.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
83.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
82.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
82.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
82.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
78.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
76.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
76.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
76.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
76.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
75.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
75.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
73.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
73.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
73.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
73.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
72.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
72.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
71.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
71.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
71.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
70.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
67.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
66.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
65.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
64.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
64.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
61.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
59.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
59.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
58.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
53.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
45.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
OSTC 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
64.2
Number of samples
486
Samples
Sample
Description
TPM
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
163.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
137.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
127.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
124.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
119.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
117.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
114.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
114.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
113.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
111.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
111.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
109.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
108.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
107.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
107.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
106.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
106.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
106.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
105.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
104.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
104.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
102.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
102.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
100.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
99.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
99.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
98.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
97.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
96.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
96.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
96.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
95.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
95.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
95.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
94.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
93.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
93.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
93.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
92.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
92.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
92.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
92.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
90.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
90.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
89.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
89.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
89.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
89.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
89.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
88.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
88.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
88.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
87.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
87.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
87.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
87.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
87.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
87.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
86.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
86.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
86.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
86.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
86.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
86.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
85.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
85.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
84.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
84.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
84.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
83.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
82.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
82.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
81.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
81.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
81.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
81.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
80.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
80.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
80.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
80.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
80.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
80.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
79.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
79.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
78.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
77.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
77.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
76.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
76.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
76.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
76.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
76.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
76.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
75.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
75.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
75.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
75.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
75.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
74.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
74.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
74.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
73.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
73.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
73.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
73.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
73.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
73.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
73.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
72.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
72.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
72.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
72.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
72.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
72.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
71.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
71.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
71.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
70.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
70.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
70.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
70.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
70.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
69.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
69.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
69.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
69.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
69.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
69.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
69.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
68.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
68.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
68.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
68.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
68.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
67.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
67.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
67.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
67.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
67.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
66.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
66.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
66.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
66.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
65.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
65.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
64.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
64.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
64.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
64.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
63.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
63.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
63.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
63.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
63.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
63.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
62.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
62.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
62.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
62.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
61.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
61.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
60.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
60.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
60.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
60.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
60.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
60.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
60.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
60.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
59.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
59.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
59.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
58.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
58.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
58.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
58.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
57.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
57.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
56.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
56.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
56.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
55.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
55.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
55.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
54.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
54.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
54.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
54.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
54.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
54.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
53.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
53.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
52.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
52.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
51.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
51.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
51.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
51.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
51.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
51.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
50.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
50.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
50.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
49.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
49.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
49.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
49.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
49.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
45.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
45.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
44.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
44.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
43.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
43.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
42.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
41.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
39.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
37.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
36.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
32.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
30.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
27.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
26.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
19.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
OSTC 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
109.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
224.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
204.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
202.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
180.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
177.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
172.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
162.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
159.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
150.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
146.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
142.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
137.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
134.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
134.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
134.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
133.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
131.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
131.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
129.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
128.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
128.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
128.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
125.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
123.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
121.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
121.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
120.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
120.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
120.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
117.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
116.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
116.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
115.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
115.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
114.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
114.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
112.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
111.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
110.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
109.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
109.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
108.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
108.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
108.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
107.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
107.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
107.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
105.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
104.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
103.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
103.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
102.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
102.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
99.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
99.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
98.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
98.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
97.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
96.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
92.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
91.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
89.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
88.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
88.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
85.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
84.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
83.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
83.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
82.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
80.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
75.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
75.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
75.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
73.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
72.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
71.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
68.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
67.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
63.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
63.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
56.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
51.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
45.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
OSTC 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
51.1
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
115.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
102.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
99.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
87.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
81.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
79.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
78.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
73.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
71.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
71.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
70.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
68.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
68.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
68.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
67.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
67.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
66.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
65.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
65.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
64.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
64.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
64.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
62.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
60.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
60.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
60.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
59.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
59.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
59.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
58.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
57.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
57.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
57.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
56.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
54.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
53.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
52.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
51.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
51.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
50.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
50.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
49.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
49.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
49.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
46.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
44.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
40.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
39.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
39.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
37.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
0.9
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.6
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.
The Human Protein Atlas project is funded
