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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.
MYO1D 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
89.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
285.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
278.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
278.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
240.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
228.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
227.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
199.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
189.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
183.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
178.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
177.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
176.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
174.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
171.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
168.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
160.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
160.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
159.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
157.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
156.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
153.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
151.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
150.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
149.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
149.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
149.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
145.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
144.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
144.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
142.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
142.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
141.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
141.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
140.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
139.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
139.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
139.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
137.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
137.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
136.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
136.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
136.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
135.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
135.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
135.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
130.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
129.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
128.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
127.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
127.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
126.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
125.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
123.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
120.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
119.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
119.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
119.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
117.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
114.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
113.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
113.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
113.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
112.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
112.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
112.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
111.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
111.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
111.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
109.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
109.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
109.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
108.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
108.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
108.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
107.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
107.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
105.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
104.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
104.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
104.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
103.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
103.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
103.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
102.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
102.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
102.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
101.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
101.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
98.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
98.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
97.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
97.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
95.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
94.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
93.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
93.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
93.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
93.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
92.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
92.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
91.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
90.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
90.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
89.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
89.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
89.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
89.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
88.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
88.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
88.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
88.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
88.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
88.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
88.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
87.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
87.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
86.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
86.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
85.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
85.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
83.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
82.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
82.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
82.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
81.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
80.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
79.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
79.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
79.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
78.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
78.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
78.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
77.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
76.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
76.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
76.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
76.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
75.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
74.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
74.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
73.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
73.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
73.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
71.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
71.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
71.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
71.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
70.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
69.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
68.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
68.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
68.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
67.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
67.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
67.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
67.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
66.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
65.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
64.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
64.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
64.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
64.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
64.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
64.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
63.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
63.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
62.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
61.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
60.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
60.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
60.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
60.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
58.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
56.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
56.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
55.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
54.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
53.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
53.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
52.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
51.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
51.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
51.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
50.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
50.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
47.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
47.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
46.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
46.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
45.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
44.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
44.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
44.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
42.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
37.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
37.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
35.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
34.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
30.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
22.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
21.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
17.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
MYO1D 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
109.6
Number of samples
486
Samples
Sample
Description
TPM
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
289.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
271.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
251.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
249.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
238.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
238.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
235.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
225.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
225.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
224.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
223.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
222.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
213.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
213.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
207.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
204.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
202.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
198.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
197.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
192.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
191.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
190.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
189.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
188.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
188.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
185.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
185.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
183.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
181.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
179.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
177.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
177.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
176.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
174.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
174.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
173.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
173.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
172.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
172.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
172.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
171.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
169.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
167.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
167.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
167.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
167.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
163.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
162.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
162.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
161.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
160.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
159.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
159.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
159.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
158.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
158.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
158.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
157.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
157.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
157.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
157.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
156.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
155.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
155.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
153.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
153.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
152.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
152.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
151.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
151.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
150.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
150.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
150.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
150.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
149.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
148.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
147.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
147.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
147.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
145.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
145.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
145.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
145.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
144.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
144.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
144.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
144.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
143.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
142.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
142.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
141.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
141.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
141.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
141.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
141.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
140.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
139.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
139.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
138.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
138.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
137.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
137.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
136.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
136.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
136.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
136.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
135.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
135.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
134.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
134.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
133.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
133.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
133.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
132.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
132.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
131.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
131.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
131.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
131.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
131.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
130.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
130.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
130.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
129.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
129.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
128.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
128.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
128.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
128.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
128.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
128.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
127.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
127.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
127.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
127.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
127.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
127.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
126.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
126.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
126.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
125.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
125.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
125.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
124.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
123.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
123.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
123.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
123.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
122.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
122.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
122.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
122.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
122.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
122.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
122.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
122.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
122.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
121.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
121.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
121.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
121.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
121.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
121.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
121.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
121.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
120.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
120.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
120.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
120.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
120.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
120.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
120.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
119.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
119.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
118.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
118.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
118.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
117.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
117.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
117.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
117.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
117.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
117.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
117.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
117.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
117.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
117.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
117.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
116.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
116.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
116.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
116.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
116.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
114.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
114.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
114.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
113.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
113.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
113.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
112.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
112.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
112.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
112.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
112.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
112.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
112.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
111.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
111.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
111.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
111.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
111.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
111.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
110.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
110.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
110.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
110.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
110.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
110.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
110.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
110.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
109.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
109.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
109.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
109.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
109.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
109.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
108.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
108.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
108.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
108.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
108.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
108.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
108.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
108.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
107.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
107.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
107.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
106.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
106.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
106.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
105.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
105.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
105.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
105.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
105.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
105.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
105.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
105.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
104.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
103.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
103.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
103.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
103.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
103.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
102.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
102.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
102.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
101.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
101.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
101.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
101.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
100.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
100.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
100.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
100.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
100.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
100.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
100.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
99.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
99.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
99.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
99.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
99.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
99.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
98.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
98.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
98.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
97.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
97.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
97.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
97.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
97.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
97.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
97.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
96.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
96.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
96.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
96.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
96.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
96.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
96.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
96.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
96.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
95.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
95.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
95.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
94.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
94.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
94.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
94.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
94.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
94.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
94.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
93.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
93.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
93.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
92.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
92.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
92.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
92.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
92.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
91.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
91.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
91.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
91.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
90.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
89.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
89.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
89.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
89.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
88.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
88.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
88.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
88.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
88.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
88.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
88.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
87.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
87.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
87.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
87.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
86.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
86.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
86.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
86.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
86.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
85.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
85.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
85.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
85.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
84.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
84.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
84.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
83.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
82.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
82.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
82.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
82.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
81.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
81.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
81.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
80.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
80.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
80.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
80.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
80.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
79.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
79.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
78.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
78.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
77.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
76.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
76.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
76.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
76.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
76.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
75.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
75.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
75.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
74.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
73.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
73.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
73.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
73.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
73.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
73.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
72.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
72.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
72.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
72.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
71.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
71.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
70.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
70.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
70.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
69.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
68.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
68.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
67.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
66.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
66.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
65.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
65.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
65.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
65.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
64.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
63.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
62.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
61.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
61.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
61.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
60.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
59.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
59.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
58.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
54.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
52.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
52.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
50.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
49.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
32.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
20.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
17.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
16.9
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.
MYO1D 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
82.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
234.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
193.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
187.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
176.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
165.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
161.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
159.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
145.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
135.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
133.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
129.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
128.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
117.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
115.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
113.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
112.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
110.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
106.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
105.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
104.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
103.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
101.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
100.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
99.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
95.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
93.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
91.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
89.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
88.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
88.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
88.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
88.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
85.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
85.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
84.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
83.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
83.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
81.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
81.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
80.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
79.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
79.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
77.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
77.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
74.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
73.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
73.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
72.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
69.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
68.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
68.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
66.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
66.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
65.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
65.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
64.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
63.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
62.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
62.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
62.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
59.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
58.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
58.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
56.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
50.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
50.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
47.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
45.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
45.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
40.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
39.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
35.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
MYO1D 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
101.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
260.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
254.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
224.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
213.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
210.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
210.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
203.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
197.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
194.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
186.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
185.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
184.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
175.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
173.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
173.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
173.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
171.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
167.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
163.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
163.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
156.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
156.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
152.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
151.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
149.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
146.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
145.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
143.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
142.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
138.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
138.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
136.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
135.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
134.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
134.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
133.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
133.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
133.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
132.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
131.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
129.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
129.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
128.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
128.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
128.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
127.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
126.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
126.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
125.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
124.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
124.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
124.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
124.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
123.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
123.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
123.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
122.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
122.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
121.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
120.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
119.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
118.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
118.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
117.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
115.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
115.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
113.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
112.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
111.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
108.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
107.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
107.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
106.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
106.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
105.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
105.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
105.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
105.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
104.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
104.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
104.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
103.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
102.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
102.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
101.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
101.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
101.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
101.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
100.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
100.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
99.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
99.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
97.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
97.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
96.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
96.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
96.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
96.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
96.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
95.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
95.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
94.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
94.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
93.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
93.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
92.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
92.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
91.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
91.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
91.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
90.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
90.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
89.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
88.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
88.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
88.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
88.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
87.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
87.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
87.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
86.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
86.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
85.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
85.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
84.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
84.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
84.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
84.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
84.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
84.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
81.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
81.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
80.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
79.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
78.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
78.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
78.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
78.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
78.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
78.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
77.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
76.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
76.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
76.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
75.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
75.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
75.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
74.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
74.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
73.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
70.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
69.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
68.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
67.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
67.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
66.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
65.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
65.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
64.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
64.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
63.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
63.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
63.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
61.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
60.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
60.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
60.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
59.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
57.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
56.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
56.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
53.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
50.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
49.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
