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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.
TMCO1 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
106.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
240.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
239.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
235.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
202.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
200.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
191.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
185.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
183.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
181.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
173.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
173.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
170.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
166.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
166.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
165.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
164.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
164.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
162.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
161.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
160.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
158.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
157.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
156.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
156.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
155.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
155.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
155.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
154.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
151.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
151.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
150.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
148.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
145.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
144.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
141.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
138.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
137.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
137.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
137.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
136.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
135.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
135.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
135.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
135.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
134.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
134.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
134.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
133.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
133.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
132.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
132.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
129.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
129.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
129.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
128.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
128.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
127.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
126.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
126.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
125.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
125.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
124.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
124.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
124.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
123.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
123.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
123.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
122.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
122.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
122.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
121.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
120.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
119.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
119.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
119.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
119.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
119.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
119.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
118.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
118.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
116.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
116.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
116.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
116.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
116.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
116.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
116.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
115.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
115.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
114.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
112.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
112.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
111.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
111.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
111.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
110.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
110.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
109.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
108.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
108.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
108.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
108.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
107.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
107.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
107.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
106.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
106.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
106.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
105.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
105.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
105.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
105.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
104.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
104.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
104.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
104.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
103.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
103.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
103.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
102.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
102.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
102.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
102.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
102.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
101.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
101.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
101.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
101.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
101.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
100.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
100.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
100.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
100.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
99.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
99.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
99.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
98.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
98.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
98.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
97.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
96.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
96.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
96.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
96.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
96.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
96.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
95.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
95.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
95.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
95.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
95.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
95.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
95.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
94.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
94.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
94.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
94.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
94.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
93.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
93.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
93.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
93.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
93.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
92.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
92.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
92.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
92.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
92.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
91.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
91.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
90.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
89.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
89.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
89.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
88.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
88.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
87.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
87.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
87.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
87.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
86.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
86.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
86.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
86.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
86.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
85.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
85.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
85.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
85.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
84.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
84.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
84.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
83.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
83.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
83.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
83.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
83.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
82.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
82.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
82.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
81.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
81.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
81.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
79.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
79.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
78.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
78.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
77.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
76.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
76.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
75.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
74.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
73.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
73.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
73.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
71.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
71.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
71.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
69.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
69.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
69.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
68.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
68.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
68.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
68.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
66.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
63.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
63.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
60.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
59.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
56.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
56.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
54.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
54.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
52.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
37.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 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.
TMCO1 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
79.6
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
241.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
199.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
182.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
144.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
141.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
138.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
137.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
136.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
135.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
133.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
133.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
133.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
132.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
130.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
130.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
129.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
128.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
127.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
126.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
126.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
126.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
125.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
124.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
122.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
119.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
118.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
118.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
117.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
117.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
115.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
115.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
115.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
114.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
114.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
114.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
113.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
112.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
111.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
111.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
111.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
111.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
111.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
110.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
110.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
110.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
109.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
109.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
108.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
108.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
107.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
107.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
107.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
107.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
106.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
106.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
106.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
105.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
105.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
105.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
105.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
104.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
103.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
103.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
102.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
102.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
102.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
102.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
101.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
101.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
101.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
101.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
100.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
100.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
100.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
100.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
100.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
100.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
100.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
100.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
99.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
99.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
99.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
98.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
98.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
98.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
97.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
97.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
97.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
97.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
97.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
97.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
96.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
96.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
96.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
96.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
95.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
95.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
95.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
95.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
95.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
95.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
95.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
95.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
94.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
94.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
94.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
94.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
93.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
93.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
92.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
92.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
92.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
92.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
92.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
92.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
92.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
91.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
91.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
91.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
90.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
90.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
90.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
90.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
90.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
90.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
90.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
90.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
90.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
90.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
90.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
89.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
89.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
89.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
89.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
89.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
89.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
88.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
88.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
88.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
88.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
88.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
88.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
87.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
87.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
87.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
87.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
87.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
87.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
87.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
87.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
87.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
86.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
86.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
86.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
86.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
86.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
86.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
86.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
86.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
86.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
86.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
85.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
85.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
85.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
85.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
85.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
84.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
84.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
84.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
83.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
83.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
83.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
83.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
83.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
82.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
82.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
82.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
82.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
82.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
82.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
82.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
81.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
81.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
81.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
81.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
81.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
81.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
81.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
81.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
80.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
80.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
80.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
80.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
80.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
79.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
79.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
79.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
79.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
79.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
79.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
79.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
78.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
78.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
78.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
78.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
78.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
78.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
78.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
78.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
77.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
77.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
77.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
77.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
77.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
77.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
77.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
77.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
77.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
76.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
76.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
76.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
76.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
76.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
76.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
76.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
75.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
75.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
75.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
75.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
75.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
75.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
75.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
75.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
74.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
74.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
74.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
74.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
74.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
74.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
74.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
73.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
73.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
73.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
72.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
72.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
72.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
72.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
72.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
72.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
72.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
72.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
71.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
71.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
71.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
71.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
71.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
71.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
70.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
70.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
70.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
70.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
70.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
70.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
70.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
69.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
69.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
69.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
69.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
69.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
69.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
69.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
69.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
69.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
69.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
68.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
68.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
68.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
68.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
68.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
68.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
68.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
68.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
68.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
68.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
67.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
67.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
67.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
67.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
67.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
67.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
66.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
65.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
65.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
65.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
65.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
65.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
64.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
64.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
64.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
63.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
63.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
62.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
62.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
61.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
61.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
60.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
60.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
59.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
59.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
58.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
58.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
57.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
57.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
57.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
56.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
56.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
56.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
56.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
55.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
55.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
55.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
54.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
54.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
54.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
53.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
53.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
53.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
52.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
51.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
50.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
48.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
48.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
47.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
45.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
37.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
17.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
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.
TMCO1 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
117.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
251.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
251.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
205.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
199.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
187.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
182.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
175.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
171.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
170.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
168.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
163.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
163.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
160.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
158.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
158.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
156.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
154.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
150.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
150.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
148.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
145.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
142.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
139.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
138.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
136.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
132.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
131.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
130.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
128.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
127.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
125.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
124.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
124.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
121.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
120.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
118.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
118.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
115.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
114.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
113.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
113.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
113.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
111.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
111.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
110.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
110.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
109.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
108.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
108.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
108.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
107.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
106.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
105.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
104.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
103.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
103.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
102.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
101.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
101.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
100.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
100.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
100.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
99.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
99.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
98.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
96.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
94.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
92.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
91.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
88.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
87.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
86.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
84.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
80.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
79.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
75.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
72.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
65.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
65.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
61.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
55.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
52.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
39.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
38.4
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.
TMCO1 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
69.1
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
166.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
145.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
137.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
120.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
115.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
112.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
110.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
107.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
107.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
107.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
106.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
103.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
101.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
100.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
99.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
99.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
98.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
98.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
97.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
95.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
93.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
93.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
92.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
92.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
90.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
89.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
88.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
88.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
88.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
88.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
88.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
87.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
86.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
86.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
86.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
85.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
85.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
85.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
85.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
84.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
84.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
83.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
83.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
82.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
82.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
82.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
82.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
80.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
80.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
80.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
80.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
79.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
79.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
79.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
77.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
77.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
76.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
75.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
74.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
73.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
73.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
73.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
72.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
72.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
70.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
69.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
69.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
69.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
69.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
69.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
68.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
68.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
68.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
68.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
68.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
67.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
67.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
67.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
67.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
67.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
66.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
66.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
66.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
66.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
66.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
65.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
65.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
64.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
64.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
63.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
63.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
63.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
63.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
63.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
63.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
62.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
62.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
62.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
61.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
60.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
60.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
60.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
60.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
60.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
59.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
59.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
58.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
58.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
58.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
58.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
57.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
56.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
54.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
54.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
53.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
52.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
50.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
45.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.1
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
