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Methods: Using prospective data from 709 women in the INSCOC project, dose-response effects were assessed with restricted cubic splines, survival with Kaplan–Meier and log-rank tests, and associations with Cox regression. Confounding was reduced with IPTW based on propensity scores. Results: RC showed a linear dose-response with all-cause mortality; higher RC predicted worse survival. Conclusions: RC is an independent risk factor for prognosis and mortality in breast cancer.",{"@graph":69,"@context":123},[70,84,106],{"@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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/remnant-cholesterol-is-an-effective-biomarker-for-predicting-survival-in-patients-with-breast-cancer/337674/",{"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/remnant-cholesterol-is-an-effective-biomarker-for-predicting-survival-in-patients-with-breast-cancer/337674.png","ImageObject",300,407,{"name":92,"@type":93},"Emma Wilson","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the main purpose of the study?","Question",{"text":113,"@type":114},"To evaluate whether remnant cholesterol (RC) can predict mortality and overall survival in patients with breast cancer.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were the relationships between RC and outcomes analyzed?",{"text":118,"@type":114},"Dose-response was assessed using restricted cubic splines, survival using Kaplan–Meier with log-rank tests, and independent associations using Cox regression, with confounding reduced via IPTW.",{"name":120,"@type":111,"acceptedAnswer":121},"What did the study find about patients with high RC levels?",{"text":122,"@type":114},"Higher RC levels were associated with poorer survival and RC remained an independent prognostic factor in adjusted and sensitivity analyses.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},337674,1790127562,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},3848291630094,"https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Shi et al. Nutrition Journal (2024) 23:45 Nutrition Journal  \n[https://doi.org/10.1186/s12937-024-00951-3](https://doi.org/10.1186/s12937-024-00951-3)  \nRESEARCH Open Access  \nRemnant cholesterol is an effective biomarker   for predicting survival in patients with breast cancer  \nJinyu Shi 1,2,3,4†, Tong Liu 1,2,3,4†, Chenan Liu 1,2,3,4, Heyang Zhang 1,2,3,4, Guotian Ruan 1,2,3,4, Hailun Xie 1,2,3,4, Shiqi Lin 1,2,3,4, Xin Zheng 1,2,3,4, Yue Chen 1,2,3,4, Qi Zhang5, Xiaowei Zhang 1,2,3,4, Xiangrui Li 1,2,3,4, Xiaoyue Liu 1,2,3,4, Li Deng 1,2,3,4 and Han-Ping Shi 1,2,3,4*  \nAbstract  \nBackground Breast cancer is the most common malignancy in women worldwide. The relationship between remnant cholesterol (RC) and the prognosis of patients with breast cancer has not been clearly reported. This study investigated the prognostic value of RC in predicting mortality in patients with breast cancer.  \nMethods This study prospectively analysed 709 women patients with breast cancer from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) project. Restricted cubic splines were used to analyse the dose-response relationship between RC and breast cancer mortality. The Kaplan–Meier method was used to evaluate the overall survival of patients with breast cancer. A Cox regression analyses was performed to assess the independent association between RC and breast cancer mortality. Inverse probability of treatment weighting (IPTW) using the propensity score was used to reduce confounding. Sensitivity analysis was performed after excluding patients with underlying diseases and survival times shorter than one year.  \nResults A linear dose-response relationship was identified between RC and the risk of all-cause mortality in patients with breast cancer (p = 0 . 036) . Kaplan–Meier survival analysis and log-rank test showed that patients with high  \nRC levels had poorer survival than those with low RC levels (p = 0 . 007) . Univariate and multivariate Cox regression analyses showed that RC was an independent risk factor for mortality in women patients with breast cancer. IPTWadjusted analyses and sensitivity analyses showed that CR remained a prognostic factor.  \nConclusions RC is an independent risk factor for the prognosis of patients with breast cancer, and patients with higher RC levels have poorer survival.  \nKeywords Remnant cholesterol, Breast cancer, Prognosis, Biomarker  \n†Jinyu Shi and Tong Liu contributed equally to this work.  \n*Correspondence: Han-Ping Shi [shihp@ccmu.edu.cn](shihp@ccmu.edu.cn)  \n1Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China  \n2National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China  \n3Laboratory for Clinical Medicine, Capital Medical University, Beijing 100053, China  \n4Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China  \n5Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA  \n© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit [http://creativecommons.org/l](http://creativecommons.org/l)icenses/by/4.0/. T","cbCaikDOiaoEGiGV","https://ap.wps.com/l/cbCaikDOiaoEGiGV","pdf",1854359,"English","# Background\n# Methods\n# Results\n# Conclusions\n# Background Context and Related Studies","[{\"question\":\"What is the main purpose of the study?\",\"answer\":\"To evaluate whether remnant cholesterol (RC) can predict mortality and overall survival in patients with breast cancer.\"},{\"question\":\"How were the relationships between RC and outcomes analyzed?\",\"answer\":\"Dose-response was assessed using restricted cubic splines, survival using Kaplan–Meier with log-rank tests, and independent associations using Cox regression, with confounding reduced via IPTW.\"},{\"question\":\"What did the study find about patients with high RC levels?\",\"answer\":\"Higher RC levels were associated with poorer survival and RC remained an independent prognostic factor in adjusted and sensitivity analyses.\"}]","Remnant cholesterol is an effective biomarker for predicting survival in patients with breast cancer | PDF",1790020075,23]