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Transitions at CpG Dinucleotides, Geographic Clustering of TP53 Mutations and Food Availability Patterns in Colorectal Cancer
被引:6
|作者:
Verginelli, Fabio
Bishehsari, Faraz
Napolitano, Francesco
Mahdavinia, Mahboobeh
Cama, Alessandro
Malekzadeh, Reza
Miele, Gennaro
Raiconi, Giancarlo
Tagliaferri, Roberto
Mariani-Costantini, Renato
机构:
[1] Department of Oncology and Neurosciences, Center of Excellence on Aging (CeSI), G. d'Annunzio University Foundation, Chieti
[2] Digestive Disease Research Center (DDRC), Shariati Hospital, University of Tehran, Tehran
[3] Department of Mathematics and Informatics, University of Salerno, Salerno
[4] Department of Physical Sciences, University of Naples, Naples
来源:
关键词:
TUMOR-SUPPRESSOR GENE;
NITRIC-OXIDE SYNTHASE;
INFLAMMATORY-BOWEL-DISEASE;
ONE-CARBON METABOLISM;
N-NITROSO COMPOUNDS;
P53;
MUTATIONS;
COLON-CANCER;
ENERGY-INTAKE;
RED MEAT;
NUTRITION TRANSITION;
D O I:
10.1371/journal.pone.0006824
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Background: Colorectal cancer is mainly attributed to diet, but the role exerted by foods remains unclear because involved factors are extremely complex. Geography substantially impacts on foods. Correlations between international variation in colorectal cancer-associated mutation patterns and food availabilities could highlight the influence of foods on colorectal mutagenesis. Methodology: To test such hypothesis, we applied techniques based on hierarchical clustering, feature extraction and selection, and statistical pattern recognition to the analysis of 2,572 colorectal cancer-associated TP53 mutations from 12 countries/geographic areas. For food availabilities, we relied on data extracted from the Food Balance Sheets of the Food and Agriculture Organization of the United Nations. Dendrograms for mutation sites, mutation types and food patterns were constructed through Ward's hierarchical clustering algorithm and their stability was assessed evaluating silhouette values. Feature selection used entropy-based measures for similarity between clusterings, combined with principal component analysis by exhaustive and heuristic approaches. Conclusion/Significance: Mutations clustered in two major geographic groups, one including only Western countries, the other Asia and parts of Europe. This was determined by variation in the frequency of transitions at CpGs, the most common mutation type. Higher frequencies of transitions at CpGs in the cluster that included only Western countries mainly reflected higher frequencies of mutations at CpG codons 175, 248 and 273, the three major TP53 hotspots. Pearson's correlation scores, computed between the principal components of the datamatrices for mutation types, food availability and mutation sites, demonstrated statistically significant correlations between transitions at CpGs and both mutation sites and availabilities of meat, milk, sweeteners and animal fats, the energy-dense foods at the basis of "Western'' diets. This is best explainable by differential exposure to nitrosative DNA damage due to foods that promote metabolic stress and chronic inflammation.
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页数:15
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