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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.
LAMTOR1 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
96.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
207.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
159.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
152.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
151.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
142.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
140.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
139.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
136.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
136.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
136.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
132.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
131.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
131.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
131.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
130.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
128.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
126.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
125.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
125.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
125.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
124.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
124.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
122.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
121.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
121.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
121.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
120.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
120.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
120.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
120.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
118.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
118.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
118.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
118.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
117.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
117.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
117.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
117.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
117.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
116.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
116.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
115.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
115.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
115.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
115.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
115.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
115.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
114.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
114.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
114.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
113.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
112.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
111.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
111.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
111.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
110.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
110.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
109.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
109.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
109.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
109.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
108.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
108.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
108.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
108.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
108.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
108.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
108.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
107.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
106.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
106.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
106.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
106.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
106.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
106.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
106.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
106.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
106.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
105.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
105.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
105.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
105.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
105.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
105.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
105.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
104.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
104.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
104.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
104.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
104.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
104.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
103.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
103.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
102.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
102.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
102.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
102.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
102.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
101.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
101.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
100.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
100.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
100.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
100.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
99.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
99.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
99.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
99.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
98.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
98.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
98.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
97.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
97.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
97.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
96.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
96.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
96.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
96.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
95.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
95.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
94.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
94.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
94.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
94.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
94.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
94.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
94.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
94.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
94.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
94.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
93.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
93.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
93.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
93.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
93.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
93.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
93.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
93.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
92.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
92.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
92.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
91.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
91.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
91.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
91.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
91.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
90.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
90.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
90.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
90.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
90.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
89.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
89.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
89.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
89.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
89.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
88.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
88.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
88.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
88.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
88.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
87.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
87.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
87.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
87.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
87.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
86.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
86.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
86.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
86.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
86.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
86.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
85.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
85.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
85.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
85.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
84.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
84.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
84.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
83.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
83.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
82.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
81.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
81.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
81.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
81.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
81.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
80.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
80.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
80.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
80.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
80.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
79.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
79.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
79.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
79.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
78.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
78.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
78.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
78.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
78.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
78.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
78.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
77.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
76.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
76.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
76.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
75.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
75.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
75.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
73.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
73.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
72.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
72.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
72.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
71.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
71.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
71.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
70.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
70.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
70.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
70.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
69.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
68.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
67.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
67.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
66.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
64.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
64.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
64.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
63.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
63.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
63.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
58.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
55.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
50.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
45.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
41.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
39.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
LAMTOR1 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
69.1
Number of samples
486
Samples
Sample
Description
TPM
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
131.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
110.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
110.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
108.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
107.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
106.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
103.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
102.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
102.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
99.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
98.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
97.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
97.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
95.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
95.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
95.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
95.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
95.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
94.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
94.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
94.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
93.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
93.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
93.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
92.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
92.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
92.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
92.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
91.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
90.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
90.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
90.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
90.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
90.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
90.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
89.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
89.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
88.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
88.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
88.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
87.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
87.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
87.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
87.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
87.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
86.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
86.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
86.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
85.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
85.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
85.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
85.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
85.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
84.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
84.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
84.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
84.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
84.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
84.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
84.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
84.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
84.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
83.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
83.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
83.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
83.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
83.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
83.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
82.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
82.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
82.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
82.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
82.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
82.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
82.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
82.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
81.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
81.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
81.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
81.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
81.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
81.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
81.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
81.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
80.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
80.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
80.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
80.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
79.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
79.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
79.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
79.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
79.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
79.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
79.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
79.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
79.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
78.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
78.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
78.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
78.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
78.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
78.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
78.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
78.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
77.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
77.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
77.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
77.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
76.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
76.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
76.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
76.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
76.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
76.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
76.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
76.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
76.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
76.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
76.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
76.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
75.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
75.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
75.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
75.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
75.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
75.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
74.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
74.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
74.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
74.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
74.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
74.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
73.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
73.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
73.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
73.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
73.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
73.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
73.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
73.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
72.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
72.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
72.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
72.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
72.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
71.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
71.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
71.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
71.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
71.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
70.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
70.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
70.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
70.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
70.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
70.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
70.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
70.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
70.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
70.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
70.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
70.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
70.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
70.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
70.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
69.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
69.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
69.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
69.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
69.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
69.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
69.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
69.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
68.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
68.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
68.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
68.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
68.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
68.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
67.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
67.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
67.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
67.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
67.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
67.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
66.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
66.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
66.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
66.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
66.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
66.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
66.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
65.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
65.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
65.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
64.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
64.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
64.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
64.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
63.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
63.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
63.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
63.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
63.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
63.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
63.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
62.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
62.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
62.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
62.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
62.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
62.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
62.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
62.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
62.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
62.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
61.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
61.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
61.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
61.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
61.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
60.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
60.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
60.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
60.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
60.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
60.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
60.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
59.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
59.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
59.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
58.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
57.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
57.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
57.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
56.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
56.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
56.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
56.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
55.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
55.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
55.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
54.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
54.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
53.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
53.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
53.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
52.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
52.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
52.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
50.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
50.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
47.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
46.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
44.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
43.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMTOR1 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
94.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
174.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
164.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
162.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
142.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
141.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
138.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
134.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
128.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
126.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
123.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
123.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
121.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
118.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
116.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
114.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
113.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
112.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
112.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
112.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
111.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
109.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
107.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
107.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
106.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
106.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
104.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
104.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
104.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
102.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
100.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
99.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
98.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
97.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
96.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
96.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
96.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
95.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
95.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
95.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
94.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
94.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
92.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
91.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
91.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
91.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
90.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
89.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
89.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
88.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
88.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
88.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
87.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
87.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
86.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
86.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
85.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
82.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
82.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
82.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
81.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
81.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
81.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
80.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
79.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
79.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
78.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
76.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
76.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
75.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
73.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
72.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
72.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
72.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
70.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
69.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
68.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
63.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
61.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
56.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
45.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMTOR1 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
63.4
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
97.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
96.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
94.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
94.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
92.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
91.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
89.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
89.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
87.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
87.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
85.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
85.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
85.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
83.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
83.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
82.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
82.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
81.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
80.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
78.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
78.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
78.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
78.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
78.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
77.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
77.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
77.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
76.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
76.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
75.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
75.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
74.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
74.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
74.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
73.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
73.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
73.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
72.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
72.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
71.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
71.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
71.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
71.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
71.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
70.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
70.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
70.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
70.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
70.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
69.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
69.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
69.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
69.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
68.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
68.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
68.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
68.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
67.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
67.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
66.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
66.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
66.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
65.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
65.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
65.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
65.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
64.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
63.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
63.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
63.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
63.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
62.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
62.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
62.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
61.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
60.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
60.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
59.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
59.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
58.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
58.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
58.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
58.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
58.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
57.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
57.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
57.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
56.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
55.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
55.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
55.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
53.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
52.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
52.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
51.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
49.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
46.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
46.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
45.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
36.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
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
