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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.
TM9SF3 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
85.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
338.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
212.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
189.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
178.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
177.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
176.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
168.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
164.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
153.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
151.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
150.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
146.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
146.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
145.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
140.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
140.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
139.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
139.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
139.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
138.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
136.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
133.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
130.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
127.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
127.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
127.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
126.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
126.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
124.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
124.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
124.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
124.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
123.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
122.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
122.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
121.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
120.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
119.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
118.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
117.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
114.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
114.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
113.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
112.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
110.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
110.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
110.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
108.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
108.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
107.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
107.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
106.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
106.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
106.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
105.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
105.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
105.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
104.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
104.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
103.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
103.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
103.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
102.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
102.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
99.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
99.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
99.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
99.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
98.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
98.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
98.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
98.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
97.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
97.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
97.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
96.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
96.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
95.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
95.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
94.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
94.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
93.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
93.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
93.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
93.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
93.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
93.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
92.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
92.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
92.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
91.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
91.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
90.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
89.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
89.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
89.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
89.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
89.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
89.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
88.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
88.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
87.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
86.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
86.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
86.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
86.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
86.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
84.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
84.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
83.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
82.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
82.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
82.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
82.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
82.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
81.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
81.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
81.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
81.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
80.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
80.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
80.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
79.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
78.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
78.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
77.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
77.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
77.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
77.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
77.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
76.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
76.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
76.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
76.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
75.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
75.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
75.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
74.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
74.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
74.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
74.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
74.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
74.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
73.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
73.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
73.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
72.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
72.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
72.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
72.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
71.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
71.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
71.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
71.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
71.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
71.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
70.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
70.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
70.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
70.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
69.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
69.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
68.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
68.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
68.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
68.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
68.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
67.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
66.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
65.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
65.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
65.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
63.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
63.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
63.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
62.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
62.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
61.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
61.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
61.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
60.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
60.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
59.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
59.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
58.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
58.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
58.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
57.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
57.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
57.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
57.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
56.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
56.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
56.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
56.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
55.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
55.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
55.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
53.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
52.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
52.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
49.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
48.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
48.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
46.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
45.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
44.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
44.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
44.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
43.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
37.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
36.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
31.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
31.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
30.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
27.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
TM9SF3 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
106.6
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
260.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
227.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
223.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
210.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
209.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
207.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
203.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
203.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
200.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
198.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
197.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
194.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
191.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
187.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
185.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
184.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
183.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
180.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
177.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
176.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
175.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
175.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
175.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
173.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
172.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
172.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
170.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
170.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
169.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
167.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
165.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
164.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
163.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
162.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
160.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
158.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
158.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
158.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
157.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
157.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
156.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
156.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
154.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
154.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
154.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
154.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
153.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
153.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
153.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
153.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
152.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
152.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
152.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
151.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
151.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
150.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
149.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
149.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
148.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
148.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
146.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
146.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
146.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
145.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
145.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
144.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
144.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
144.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
143.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
142.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
142.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
142.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
141.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
140.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
139.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
139.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
139.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
138.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
137.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
137.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
137.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
137.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
137.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
136.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
136.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
136.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
135.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
135.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
135.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
135.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
135.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
135.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
134.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
134.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
134.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
134.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
134.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
133.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
133.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
133.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
133.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
132.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
132.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
132.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
132.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
132.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
132.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
131.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
131.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
131.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
131.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
130.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
130.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
130.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
129.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
128.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
128.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
128.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
128.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
128.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
127.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
127.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
127.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
127.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
126.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
125.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
125.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
125.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
125.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
125.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
124.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
124.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
124.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
124.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
124.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
124.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
124.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
124.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
124.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
124.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
121.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
121.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
120.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
120.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
120.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
120.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
120.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
119.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
119.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
119.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
119.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
119.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
118.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
118.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
118.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
118.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
118.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
118.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
118.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
117.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
117.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
117.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
116.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
115.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
115.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
115.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
115.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
115.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
115.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
115.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
115.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
115.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
114.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
114.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
114.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
114.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
114.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
114.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
114.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
114.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
113.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
113.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
112.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
112.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
112.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
112.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
112.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
112.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
112.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
111.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
111.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
111.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
111.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
111.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
111.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
111.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
111.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
110.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
110.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
110.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
110.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
110.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
110.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
110.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
110.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
109.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
109.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
109.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
109.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
109.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
109.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
109.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
109.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
108.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
108.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
108.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
108.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
107.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
107.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
107.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
107.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
106.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
106.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
106.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
106.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
105.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
105.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
105.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
105.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
105.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
104.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
104.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
104.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
104.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
103.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
103.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
103.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
102.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
102.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
102.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
102.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
102.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
102.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
102.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
102.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
102.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
102.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
102.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
102.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
101.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
101.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
101.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
101.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
101.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
100.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
100.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
100.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
100.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
100.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
100.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
100.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
99.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
99.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
99.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
99.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
98.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
98.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
98.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
98.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
98.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
97.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
97.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
97.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
97.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
97.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
97.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
96.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
96.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
96.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
96.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
96.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
95.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
95.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
95.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
95.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
94.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
94.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
94.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
94.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
94.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
94.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
94.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
94.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
94.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
94.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
94.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
93.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
93.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
93.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
93.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
93.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
93.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
93.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
93.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
92.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
92.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
92.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
92.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
92.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
92.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
92.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
92.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
91.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
91.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
90.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
90.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
90.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
90.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
90.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
90.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
89.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
89.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
89.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
89.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
89.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
89.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
89.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
89.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
89.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
89.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
89.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
88.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
87.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
87.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
86.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
86.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
85.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
85.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
85.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
85.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
85.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
84.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
84.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
84.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
84.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
83.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
83.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
83.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
83.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
83.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
83.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
83.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
82.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
82.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
82.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
82.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
82.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
82.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
82.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
81.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
81.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
81.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
81.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
79.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
79.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
79.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
78.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
78.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
78.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
77.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
77.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
77.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
77.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
77.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
76.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
76.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
76.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
76.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
76.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
75.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
75.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
75.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
74.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
74.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
73.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
73.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
73.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
73.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
72.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
72.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
72.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
72.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
71.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
71.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
70.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
70.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
70.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
70.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
69.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
69.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
69.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
68.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
67.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
67.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
67.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
66.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
65.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
64.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
64.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
63.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
63.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
63.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
62.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
59.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
57.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
55.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
55.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
52.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
50.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
49.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
49.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
40.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
37.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
32.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TM9SF3 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
86.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
250.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
211.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
161.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
146.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
142.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
142.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
139.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
132.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
131.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
127.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
126.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
125.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
119.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
118.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
111.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
111.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
109.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
108.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
108.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
106.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
106.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
104.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
103.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
102.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
102.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
102.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
98.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
98.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
97.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
97.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
94.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
91.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
90.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
89.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
86.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
86.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
85.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
84.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
84.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
84.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
84.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
83.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
82.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
81.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
81.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
80.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
79.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
78.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
77.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
75.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
74.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
73.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
72.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
71.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
70.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
69.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
68.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
66.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
66.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
65.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
65.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
64.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
63.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
62.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
61.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
61.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
59.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
57.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
55.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
54.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
54.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
52.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
44.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
44.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
43.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
37.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.8
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.
TM9SF3 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
100.2
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
239.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
210.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
209.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
187.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
176.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
165.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
162.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
159.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
159.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
156.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
154.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
154.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
150.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
145.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
145.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
143.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
141.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
141.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
140.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
139.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
139.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
138.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
136.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
136.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
135.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
134.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
134.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
133.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
133.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
133.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
132.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
132.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
132.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
131.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
129.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
129.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
129.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
128.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
126.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
125.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
124.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
123.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
123.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
122.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
121.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
121.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
120.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
119.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
119.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
119.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
118.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
117.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
116.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
115.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
114.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
112.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
112.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
111.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
111.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
111.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
111.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
111.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
110.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
109.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
109.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
109.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
109.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
109.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
109.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
108.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
108.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
108.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
108.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
108.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
107.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
107.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
106.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
106.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
106.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
105.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
105.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
103.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
103.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
103.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
103.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
103.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
103.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
102.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
102.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
102.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
101.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
101.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
101.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
101.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
99.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
99.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
98.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
98.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
97.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
97.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
97.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
96.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
95.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
95.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
95.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
94.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
94.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
94.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
94.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
93.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
93.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
93.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
93.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
92.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
92.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
92.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
92.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
91.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
91.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
90.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
90.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
90.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
89.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
89.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
89.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
89.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
89.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
89.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
88.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
88.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
87.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
87.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
87.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
87.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
86.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
86.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
86.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
86.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
85.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
84.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
84.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
84.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
83.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
83.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
83.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
82.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
82.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
81.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
81.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
81.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
81.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
80.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
80.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
79.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
79.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
78.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
77.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
76.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
75.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
74.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
74.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
74.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
74.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
74.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
74.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
74.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
73.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
72.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
71.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
70.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
70.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
69.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
67.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
65.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
65.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
64.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
64.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
64.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
63.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
62.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
60.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
58.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
55.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
55.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
43.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
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Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.5
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
