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首页|期刊导航|中山大学学报(医学科学版)|多组学在肺结节良恶性鉴别与风险分层中的研究进展

多组学在肺结节良恶性鉴别与风险分层中的研究进展

程慧娟 卢峰

中山大学学报(医学科学版)2026,Vol.47Issue(4):627-635,9.
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中山大学学报(医学科学版)2026,Vol.47Issue(4):627-635,9.DOI:10.11714/jsysu.med.YX20260054

多组学在肺结节良恶性鉴别与风险分层中的研究进展

Recent Advances in Multi-omics for Benign-malignant Differentiation and Risk Stratification of Pulmonary Nodules

程慧娟 1卢峰2

作者信息

  • 1. 福建中医药大学第一临床医学院,福建 福州 350122||福建中医药大学附属第二人民医院呼吸科,福建 福州 350003||福建省早期肺癌中西医结合诊疗临床医学研究中心,福建 福州 350003
  • 2. 福建中医药大学附属第二人民医院呼吸科,福建 福州 350003||福建省早期肺癌中西医结合诊疗临床医学研究中心,福建 福州 350003
  • 折叠

摘要

Abstract

Benign-malignant differentiation and risk stratification of pulmonary nodules are critical issues in lung cancer screening and clinical management.Conventional assessment mainly relies on imaging evaluation,dynamic follow-up,and pathological confirmation,but its diagnostic performance remains limited in clinical scenarios involving small nodules,ground-glass nodules,and inflammatory lesions.In recent years,advances in radiomics,genomics,transcriptomics,proteomics,metabolomics,and microbiomics have provided multi-level biological evidence for the precise evaluation of pulmonary nodules from the perspectives of imaging phenotype,genetic variation,molecular expression,functional status,metabolic reprogramming,and host-microbe interaction.Compared with single-omics approaches,multi-omics integration,through cross-level information fusion,enables a more comprehensive characterization of the biological heterogeneity of pulmonary nodules and further improves the performance of benign-malignant differentiation and risk stratification.Relevant studies showed that the area under the curve(AUC)increased from 0.80-0.87 to 0.93.This review systematically summarizes recent advances in multi-omics research for benign-malignant differentiation and risk stratification of pulmonary nodules,with a focus on their value in biomarker discovery,risk assessment,and clinical decision support.Current challenges,including lack of standardization,insufficient external validation,and barriers to clinical translation,are also discussed to provide references for future research on precision management of pulmonary nodules.

关键词

肺结节/多组学/良恶性鉴别/风险分层/精准评估

Key words

pulmonary nodules/multi-omics/benign and malignant differentiation/risk stratification/precision assessment

分类

医药卫生

引用本文复制引用

程慧娟,卢峰..多组学在肺结节良恶性鉴别与风险分层中的研究进展[J].中山大学学报(医学科学版),2026,47(4):627-635,9.

基金项目

福建省科技创新联合资金(2024Y9481) (2024Y9481)

福建省财政厅资助专项(X2024010-财政专项) (X2024010-财政专项)

福建省科技创新平台建设项目(2022Y2009) (2022Y2009)

福建中医药大学重大科技创新"揭榜挂帅"专项(XJB2022002) (XJB2022002)

中山大学学报(医学科学版)

1672-3554

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