LRP1B in cancer: From a mutation landscape to predictive biomarkers for precision oncology

IF 6.5 2区 医学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Likun Yang , Ximo Wang , Xiangyang Yu , Jing Xun
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引用次数: 0

Abstract

Low-density lipoprotein receptor-related protein 1B (LRP1B) is one of the most frequently mutated genes across a wide range of malignancies and has garnered increasing attention owing to its crucial role in tumorigenesis and clinical outcomes. Emerging evidence suggests that LRP1B mutations not only disrupt essential cellular processes such as proliferation, migration, and genomic stability but also significantly impact antigen presentation, modulation of the tumor immune microenvironment, and responses to immunotherapy. These findings highlight its substantial biological and clinical significance. Notably, the mutational landscape of LRP1B exhibits marked tissue specificity and molecular subtype heterogeneity, which may influence the efficacy of immunotherapy, targeted therapies, and cytotoxic chemotherapy. In this review, we provide a comprehensive overview of the mutation patterns, mechanistic functions, immunological roles, and therapeutic predictive value of LRP1B across various cancer types, with the aim of supporting its development as a biomarker and therapeutic target in precision oncology.
癌症中的LRP1B:从突变景观到精确肿瘤学的预测性生物标志物。
低密度脂蛋白受体相关蛋白1B (LRP1B)是多种恶性肿瘤中最常发生突变的基因之一,由于其在肿瘤发生和临床结果中的关键作用而受到越来越多的关注。新出现的证据表明,LRP1B突变不仅破坏了增殖、迁移和基因组稳定性等基本细胞过程,而且显著影响抗原呈递、肿瘤免疫微环境的调节和对免疫治疗的反应。这些发现突出了其重要的生物学和临床意义。值得注意的是,LRP1B的突变格局表现出明显的组织特异性和分子亚型异质性,这可能会影响免疫治疗、靶向治疗和细胞毒性化疗的疗效。在这篇综述中,我们全面概述了LRP1B的突变模式、机制功能、免疫学作用和治疗预测价值,旨在支持其作为精确肿瘤的生物标志物和治疗靶点的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
12.20
自引率
1.90%
发文量
22
审稿时长
15.7 weeks
期刊介绍: The subject areas of Reviews in Mutation Research encompass the entire spectrum of the science of mutation research and its applications, with particular emphasis on the relationship between mutation and disease. Thus this section will cover advances in human genome research (including evolving technologies for mutation detection and functional genomics) with applications in clinical genetics, gene therapy and health risk assessment for environmental agents of concern.
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