Systemic Dyslipidemia Drives Pan-Cancer Prognosis via Epigenetic Remodeling: A Hybrid Pi-Score Analysis

系统性血脂异常通过表观遗传重塑影响泛癌预后:混合Pi评分分析

阅读:1

Abstract

Background/Objectives: Dyslipidemia is a prevalent metabolic disorder and a recognized risk factor for cancer mortality. However, it remains unclear whether systemic lipid profiles in the general population share epigenetic landscapes that drive cancer aggressiveness. Methods: We analyzed blood DNA methylation profiles alongside three key lipid variables (triglycerides [TGY], total cholesterol [TCH], and HDL cholesterol [HDL]) from 2749 individuals in the KoGES cohort. These were integrated with TCGA data across 32 cancer types using a novel 'Hybrid Pi-score' algorithm to capture robust epigenetic associations. Results: The global epigenetic landscape revealed that triglycerides (TGY) share a significantly broader and stronger epigenetic network with cancer prognosis compared to cholesterol markers, particularly in metabolic cancers like LIHC and KIRC. Directional consistency analysis confirmed that methylation alterations associated with hypertriglyceridemia in healthy individuals mirror those observed in high-mortality cancer groups. Network analysis identified CPT1A (carnitine palmitoyltransferase 1A) as a master epigenetic locus, acting as a central hub linking dyslipidemia to tumor progression. Conclusions: This study provides molecular evidence that systemic dyslipidemia, particularly elevated triglycerides, drives oncogenic epigenetic remodeling. The identification of CPT1A suggests that managing lipid profiles may be critical for mitigating the "metabolic fuel" that accelerates cancer progression. These findings advocate for integrating lipid biomarkers into cancer risk stratification.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。