Jelena Peric, Sandra Dragicevic, Marko Miladinov, Aleksandra Djikic Rom, Jasna Bjelanovic, Jelena Kovac, Jovana Despotovic, Tamara Babic, Jelena Ljubicic, Dunja Pavlovic, Jovana Rosic Stojkovic, Ivan Dimitrijevic, Goran Barisic, Velimir Markovic, Aleksandra Nikolic
{"title":"Genetic Determinants of Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer Identified by Whole Exome Sequencing.","authors":"Jelena Peric, Sandra Dragicevic, Marko Miladinov, Aleksandra Djikic Rom, Jasna Bjelanovic, Jelena Kovac, Jovana Despotovic, Tamara Babic, Jelena Ljubicic, Dunja Pavlovic, Jovana Rosic Stojkovic, Ivan Dimitrijevic, Goran Barisic, Velimir Markovic, Aleksandra Nikolic","doi":"10.1111/ahg.70019","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Neoadjuvant chemoradiotherapy (nCRT) is essential for treating locally advanced rectal cancer (LARC), however response to nCRT varies, and reliable predictors are lacking.</p><p><strong>Methods: </strong>This study used whole exome sequencing analysis to investigate genetic differences between tumors highly responsive and non-responsive to nCRT. Five patients with good response and two patients without response to nCRT were used as a discovery set.</p><p><strong>Results: </strong>The analysis identified 15 InDels and 202 non-synonymous SNVs exclusively present in tumors of non-responders, mainly in genes regulating the cell cycle, adhesion, and migration. In contrast, 9 InDels and 122 non-synonymous SNVs were exclusively present in tumors of good responders, primarily in extracellular matrix remodeling and immunity-related genes. Six variants in transmembrane transporter genes were selected as candidate biomarkers and validated in 33 LARC patients.</p><p><strong>Conclusion: </strong>The results suggest that SLC16A6 rs7222013 and SLC25A2 rs3749780 may serve as potential predictors of poor nCRT response in LARC patients.</p>","PeriodicalId":8085,"journal":{"name":"Annals of Human Genetics","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Human Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1111/ahg.70019","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Neoadjuvant chemoradiotherapy (nCRT) is essential for treating locally advanced rectal cancer (LARC), however response to nCRT varies, and reliable predictors are lacking.
Methods: This study used whole exome sequencing analysis to investigate genetic differences between tumors highly responsive and non-responsive to nCRT. Five patients with good response and two patients without response to nCRT were used as a discovery set.
Results: The analysis identified 15 InDels and 202 non-synonymous SNVs exclusively present in tumors of non-responders, mainly in genes regulating the cell cycle, adhesion, and migration. In contrast, 9 InDels and 122 non-synonymous SNVs were exclusively present in tumors of good responders, primarily in extracellular matrix remodeling and immunity-related genes. Six variants in transmembrane transporter genes were selected as candidate biomarkers and validated in 33 LARC patients.
Conclusion: The results suggest that SLC16A6 rs7222013 and SLC25A2 rs3749780 may serve as potential predictors of poor nCRT response in LARC patients.
期刊介绍:
Annals of Human Genetics publishes material directly concerned with human genetics or the application of scientific principles and techniques to any aspect of human inheritance. Papers that describe work on other species that may be relevant to human genetics will also be considered. Mathematical models should include examples of application to data where possible.
Authors are welcome to submit Supporting Information, such as data sets or additional figures or tables, that will not be published in the print edition of the journal, but which will be viewable via the online edition and stored on the website.