[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-342880-105":59,"doc-detail-342880-en":134},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":127,"head_meta":129,"extra_data":131,"updated_unix":133},105,"en","circulating-mirna-signature-predicts-cancer-incidence-in-lynch-syndrome-a-pilot-study","Circulating miRNA Signature Predicts Cancer Incidence in Lynch Syndrome - A Pilot Study","","Lynch syndrome (LS) is the most common autosomal dominant hereditary cancer predisposition, with risk shaped by genetic factors and lifestyle. This pilot study tested whether a circulating microRNA (c-miR) signature can predict LS cancer incidence over a 4-year prospective surveillance period. Among 110 LS carrier samples, 18 developed cancer. Lasso regression identified c-miRs linked to cancer risk and a risk-sum model was validated with 5-fold cross-validation. Correlation and pathway analyses assessed biological relevance, and risk sum associated with BMI.",{"@graph":69,"@context":126},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/circulating-mirna-signature-predicts-cancer-incidence-in-lynch-syndrome-a-pilot-study/342880/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/circulating-mirna-signature-predicts-cancer-incidence-in-lynch-syndrome-a-pilot-study/342880.png","ImageObject",300,407,{"name":92,"@type":93},"Hazel","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-23","2026-09-22",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"What was the goal of this pilot study in Lynch syndrome?","Question",{"text":112,"@type":113},"To determine whether a circulating miRNA (c-miR) signature can predict cancer incidence in Lynch syndrome during a 4-year prospective surveillance period.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the c-miR risk prediction model built and validated?",{"text":117,"@type":113},"Lasso regression identified c-miRs associated with cancer risk, and a risk-sum model was created from the selected c-miRs. The model was validated using 5-fold cross-validation.",{"name":119,"@type":110,"acceptedAnswer":120},"Which lifestyle-related factor showed an association with the c-miR risk score?",{"text":121,"@type":113},"The c-miR risk sum score correlated with body mass index (BMI) (r = 0.23, P \u003C 0.01).",{"name":123,"@type":110,"acceptedAnswer":124},"What evidence supports the biological relevance of the identified c-miRs?",{"text":125,"@type":113},"Coregulated miRNAs targeted genes involved in cancer-associated biological pathways, and correlation/pathway analyses were used to inspect c-miR functions.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},342880,1790156516,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":143,"language":144,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":67,"update_tm":148,"read_time":41},137441390410,"https://ap-avatar.wpscdn.com/avatar/2000252f4ab5702993?_k=1776741390130283984","Circulating miRNA Signature Predicts Cancer Incidence in Lynch Syndrome—A Pilot Study  \nTero Siev€anen1, Tiina Jokela1, Matti Hyv€arinen1, Tia-Marje Korhonen1, Kirsi Pylv€an€ainen2, Jukka-Pekka Mecklin2,3, Juha Karvanen4, Elina Sillanp€a€a1,2, Toni T. Sepp€al€a5,6,7,8, and Eija K. Laakkonen1  \nABSTRACT  \n◥  \nLynch syndrome (LS) is the most common autosomal dominant cancer syndrome and is characterized by high genetic cancer risk modiﬁed by lifestyle factors. This study explored whether a circulating miRNA (c-miR) signature predicts LS cancer incidence within a 4-year prospective surveillance period. To gain insight how lifestyle behavior could affect LS cancer risk, we investigated whether the cancer-predicting c-miR signature correlates with known risk-reducing factors such as physical activity, body mass index (BMI), dietary ﬁber, or NSAID usage. The study included 110 c-miR samples from LS carriers, 18 of whom were diagnosed with cancer during a 4-year prospective surveillance period. Lasso regression was utilized to ﬁnd c-miRs associated with cancer risk. Individual risk sum derived from the chosen c-miRs was used to develop a model to predict LS cancer incidence. This model was validated using 5-fold cross-validation. Correlation and pathway analyses were applied to inspect biological functions of c-miRs. Pearson correlation was used to examine the associations of  \nc-miR risk sum and lifestyle factors. hsa-miR-10b-5p, hsamiR-125b-5p, hsa-miR-200a-3p, hsa-miR-3613-5p, and hsa-miR-3615 were identiﬁed as cancer predictors by Lasso, and their risk sum score associated with higher likelihood of cancer incidence (HR 2 .72, 95% conﬁdence interval: 1 .64– 4.52, C-index ¼ 0.72) . In cross-validation, the model indicated good concordance with the average C-index of 0.75 (0.6–1.0) . Coregulated hsa-miR-10b-5p, hsa-miR-125b-5p, and hsa-miR-200a-3p targeted genes involved in cancerassociated biological pathways. The c-miR risk sum score correlated with BMI (r ¼ 0.23, P \u003C 0.01) . In summary, BMIassociated c-miRs predict LS cancer incidence within4years, although further validation is required.  \nPrevention Relevance: The development of cancer risk prediction models is key to improving the survival of patients with LS. This pilot study describes a serum miRNA signature– based risk prediction model that predicts LS cancer incidence within 4 years, although further validation is required.  \nIntroduction  \nLynch syndrome (LS) is the most common inherited cancer predisposition syndrome, with an estimated prevalence of  \n1Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyv€askyl€a, Jyv€askyl€a, Finland. 2The wellbeing services county of Central Finland, Jyv€askyl€a, Finland. 3Faculty of Sport and Health Sciences, University of Jyv€askyl€a, Jyv€askyl€a, Finland. 4Department of Mathematics and Statistics, University of Jyv€askyl€a, Jyv€askyl€a, Finland. 5Applied Tumor Genomics Research Program, University of Helsinki, Helsinki, Finland. 6Department of Abdominal Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland. 7Department of Gastroenterology and Alimentary Tract Surgery and TAYS Cancer Centre, Tampere University Hospital, Tampere, Finland. 8Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland.  \nT.T. Sepp€al€a and E. K. Laakkonen contributed equally to this article.  \nCorresponding Authors: Tero Siev€anen, Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyv€askyl€a, Jyv€askyl€a 40700, Finland. E-mail: tero. o.sievanen@jyu.ﬁ; and Eija K. Laakkonen,  \neija. k. laakkonen@jyu.ﬁ  \nCancer Prev Res 2024;17:243–54  \ndoi: 10.1158/1940-6207 . CAPR-23-0368  \nThis open access article is distributed under the Creative Commons AttributionNonCommercial-NoDerivatives 4 . 0 International (CC BY-NC-ND 4 . 0) license.  \n􀀂2024The Authors;Published by the American Association for Cancer Research  \n1:300 (1, 2) . Distinct LS phen","cbCainw1h5eqEmPE","https://ap.wps.com/l/cbCainw1h5eqEmPE","pdf",5357581,12,"English","# Abstract\n## Study design and goal\n## Model development and validation\n## Key findings and correlations","[{\"question\":\"What was the goal of this pilot study in Lynch syndrome?\",\"answer\":\"To determine whether a circulating miRNA (c-miR) signature can predict cancer incidence in Lynch syndrome during a 4-year prospective surveillance period.\"},{\"question\":\"How was the c-miR risk prediction model built and validated?\",\"answer\":\"Lasso regression identified c-miRs associated with cancer risk, and a risk-sum model was created from the selected c-miRs. The model was validated using 5-fold cross-validation.\"},{\"question\":\"Which lifestyle-related factor showed an association with the c-miR risk score?\",\"answer\":\"The c-miR risk sum score correlated with body mass index (BMI) (r = 0.23, P \\u003c 0.01).\"},{\"question\":\"What evidence supports the biological relevance of the identified c-miRs?\",\"answer\":\"Coregulated miRNAs targeted genes involved in cancer-associated biological pathways, and correlation/pathway analyses were used to inspect c-miR functions.\"}]","Circulating miRNA Signature Predicts Cancer Incidence in Lynch Syndrome - A Pilot Study | PDF",1790048583]