Artificial neural network-based exploration of gene-nutrient interactions in folate and xenobiotic metabolic pathways that modulate susceptibility to breast cancer
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- 作者：Shaik Mohammad Naushada ; naushadsm@gmail.com" class="auth_mail" title="E-mail the corresponding author ; M. Janaki Ramaiaha ; Manickam Pavithrakumaria ; Jaganathan Jayapriyaa ; Tajamul Hussainb ; Salman A. Alrokayanc ; Suryanarayana Raju Gottumukkalad ; Raghunadharao Digumartie ; Vijay Kumar Kutalaf
- 关键词：GCPII ; Glutamate carboxypeptidase II ; RFC1 ; Reduced folate carrie 1 ; cSHMT ; Cytosolic serine hydroxymethyl transferase ; TYMS ; Thymidylate synthase ; MTHFR ; 5 ; 10-methylene tetrahydrofolate reductase ; MTR ; Methionine synthase ; MTRR ; Methionine synthase reductase ; SAM ; S-adenosyl methionine ; SAH ; S-adenosyl homocysteine ; CYP ; Cytochrome P450 ; COMT ; Catechol-o-amine methyl transferase ; GST ; Glutathione-S-transferase ; RASSF1 ; Ras association (RalGDS/AF-6) domain family member 1 ; BRCA1 ; Breast cancer 1
- 刊名：Gene
- 出版年：2016
- 出版时间：15 April 2016
- 年：2016
- 卷：580
- 期：2
- 页码：159-168
- 全文大小：1484 K
文摘
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Increased exposure to estrogen and low folate intake increase breast cancer risk.
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The prediction accuracy of the current ANN model was 94.2% for the breast cancer.
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Increased intake of folate (400 μg/day) decreases breast cancer risk by 33.33%.
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20">ER and PR expression was shown to restore in the presence of adequate folate.
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25">Folate decreases methylation of BRCA1 and EC-SOD.