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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.
LAMTOR2 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
95.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
211.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
186.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
181.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
176.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
161.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
156.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
148.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
147.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
146.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
143.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
141.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
140.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
139.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
139.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
138.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
136.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
136.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
136.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
135.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
134.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
134.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
133.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
133.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
132.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
132.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
130.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
129.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
128.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
127.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
126.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
124.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
124.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
124.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
123.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
122.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
122.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
122.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
121.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
121.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
119.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
119.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
118.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
118.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
117.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
116.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
116.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
114.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
114.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
114.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
114.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
114.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
113.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
112.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
111.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
111.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
111.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
110.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
110.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
109.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
108.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
108.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
108.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
108.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
107.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
107.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
106.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
106.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
106.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
105.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
105.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
105.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
105.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
105.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
105.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
105.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
105.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
104.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
104.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
104.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
104.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
103.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
103.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
103.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
103.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
103.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
102.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
102.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
102.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
102.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
101.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
100.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
100.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
99.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
99.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
99.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
98.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
98.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
98.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
98.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
98.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
98.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
97.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
97.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
97.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
96.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
96.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
96.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
96.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
96.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
95.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
95.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
95.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
94.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
94.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
94.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
94.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
94.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
93.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
93.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
93.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
92.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
92.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
92.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
92.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
92.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
91.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
91.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
91.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
91.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
91.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
91.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
90.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
90.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
90.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
90.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
90.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
90.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
89.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
89.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
89.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
89.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
89.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
89.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
88.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
87.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
87.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
87.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
87.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
87.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
87.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
87.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
86.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
86.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
86.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
86.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
86.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
85.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
85.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
85.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
85.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
84.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
84.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
84.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
84.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
84.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
84.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
84.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
83.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
83.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
83.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
83.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
82.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
82.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
82.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
81.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
81.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
81.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
80.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
80.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
79.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
79.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
78.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
78.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
78.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
77.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
77.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
77.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
77.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
77.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
76.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
76.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
75.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
75.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
75.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
75.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
75.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
75.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
75.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
74.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
74.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
73.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
73.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
73.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
72.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
72.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
72.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
72.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
72.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
72.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
71.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
70.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
70.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
69.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
68.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
68.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
67.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
67.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
67.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
67.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
66.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
66.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
65.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
65.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
63.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
63.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
60.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
60.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
59.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
58.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
56.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
55.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
54.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
50.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
47.6
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.
LAMTOR2 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
35.9
Number of samples
486
Samples
Sample
Description
TPM
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
96.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
77.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
69.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
69.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
67.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
62.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
60.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
58.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
54.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
54.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
53.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
52.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
52.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
51.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
50.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
47.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
47.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
44.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
44.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
43.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
43.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
42.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
42.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
41.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
41.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
41.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
41.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
41.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
40.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
40.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
40.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
39.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
38.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
38.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
38.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
37.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
37.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
37.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
37.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
37.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
37.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
37.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
37.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
36.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
36.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
36.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
35.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
35.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
35.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
35.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
35.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
35.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
34.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
34.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
34.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
34.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
34.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
34.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
33.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
33.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
33.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
33.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
33.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
33.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
33.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
33.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
33.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
33.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
32.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
32.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
32.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
32.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
32.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
31.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
31.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
31.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
31.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
31.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
31.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
30.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
30.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
30.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
30.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
30.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
30.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
30.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
30.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
29.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
29.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
29.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
29.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
29.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
29.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
28.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
28.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
28.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
28.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
28.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
28.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
27.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
27.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
27.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
27.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
27.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
27.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
27.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
27.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
27.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
27.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
27.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
27.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
27.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
26.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
26.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
26.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
26.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
26.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
26.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
26.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
26.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
26.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
26.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
26.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
26.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
26.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
26.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
26.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
26.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
25.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
25.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
25.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
25.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
25.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
25.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
25.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
25.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
25.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
24.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
24.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
24.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
24.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
23.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
23.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
23.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
23.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
22.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
22.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
22.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
22.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
21.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
21.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
21.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
20.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
19.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
19.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
19.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
18.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
18.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
18.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LAMTOR2 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
95.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
184.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
181.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
153.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
150.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
143.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
143.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
143.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
141.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
140.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
136.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
136.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
135.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
123.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
123.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
122.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
121.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
120.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
116.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
116.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
114.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
113.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
111.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
109.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
109.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
108.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
108.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
105.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
104.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
101.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
99.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
98.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
97.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
97.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
96.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
96.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
96.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
95.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
94.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
92.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
91.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
91.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
91.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
90.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
90.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
89.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
89.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
89.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
88.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
87.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
86.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
86.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
85.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
84.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
83.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
81.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
81.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
81.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
80.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
80.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
79.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
78.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
77.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
77.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
76.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
75.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
72.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
72.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
71.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
70.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
70.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
68.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
65.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
65.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
64.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
64.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
62.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
61.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
60.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
60.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
56.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 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.
LAMTOR2 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
29.8
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
56.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
53.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
51.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
37.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
35.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
35.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
34.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
34.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
33.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
32.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
32.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
32.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
32.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
31.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
31.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
31.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
31.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
30.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
29.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
29.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
28.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
28.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
28.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
28.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
28.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
28.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
28.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
28.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
27.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
26.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
26.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
26.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
26.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
26.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
25.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
25.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
25.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
25.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
25.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
24.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
24.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
24.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
24.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
24.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
23.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
23.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
23.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
23.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
23.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
22.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
22.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
22.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
22.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
22.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
22.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
21.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
21.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
20.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
20.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
19.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
19.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
18.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
18.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
18.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
16.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
16.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
15.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
15.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
14.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
13.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.0
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
