莫礼阳,海日汗,杨 雷,等.表面增强拉曼光谱技术在癌症筛查中的研究进展[J].中国肿瘤,2026,35(7):573-579.
表面增强拉曼光谱技术在癌症筛查中的研究进展
Research Progress in Surface-Enhanced Raman Spectroscopy for Cancer Screening
投稿时间:2026-01-17  
DOI:10.11735/j.issn.1004-0242.2026.07.A010
中文关键词:  癌症  表面增强拉曼光谱  早诊早治  筛查  分子指纹
英文关键词:cancer  surface-enhanced Raman spectroscopy  early diagnosis and treatment  screening  molecular fingerprint
基金项目:内蒙古自治区第一批“英才兴蒙”工程团队项目(2025TYL11);内蒙古自治区自然科学基金(2025LHMS08002);内蒙古自治区自然科学基金优秀青年基金(2025YQ036);内蒙古医学科学院公立医院科研联合基金科技项目(2023GLLH0132);北京大学肿瘤医院内蒙古医院公立医院改革与高质量发展示范项目(消化道肿瘤)科研基金(2023SGGZ068);首都卫生发展科研专项重点攻关项目(首发2024-1G-4023)
作者单位
莫礼阳 北京大学肿瘤医院内蒙古医院(内蒙古医科大学附属肿瘤医院) 
海日汗 北京大学肿瘤医院内蒙古医院(内蒙古医科大学附属肿瘤医院) 
杨 雷 北京大学肿瘤医院内蒙古医院(内蒙古医科大学附属肿瘤医院)内蒙古自治区癌症中心 北京大学肿瘤医院暨北京市肿瘤防治研究所北京市肿瘤防治研究办公室,消化系肿瘤整合防治全国重点实验室 
张小田 北京大学肿瘤医院内蒙古医院(内蒙古医科大学附属肿瘤医院)北京大学肿瘤医院暨北京市肿瘤防治研究所消化肿瘤内科,消化系肿瘤整合防治全国重点实验室,恶性肿瘤转化研究北京市重点实验室 
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中文摘要:
      摘 要:癌症是严重威胁人类健康的重大公共卫生问题,早发现、早干预是提高患者5年生存率、降低死亡率的关键。然而,临床确诊的癌症患者多处于中晚期,错失手术根治时机。由于癌症是多因素长期作用引发的高度异质性复杂疾病,目前仍缺乏高效、精准的筛查手段。表面增强拉曼光谱(surface-enhanced Raman spectroscopy,SERS)技术具有高灵敏度、独特的“分子指纹”识别能力及无标记检测等优势,在癌症筛查领域展现出良好的应用潜力。全文系统综述了SERS的发现历程与作用机理、应用于癌症早筛的生物学基础及当前应用现状,剖析了该技术向人群筛查转化过程中面临的核心挑战,为其后续在癌症早筛中的推广应用提供参考依据与理论支撑。
英文摘要:
      Abstract: Cancer is a major public health issue that seriously threatens human health. Early detection and intervention are crucial for improving the 5-year survival rate of patients and reducing mortality. However,most clinically diagnosed cancer patients are in the middle and advanced stages,missing the opportunity for radical surgical treatment. As a highly heterogeneous and complex disease caused by the long-term action of multiple factors,there is still a lack of efficient and accurate screening methods. Surface-enhanced Raman spectroscopy (SERS) has shown promising application prospects in cancer screening due to its advantages of high sensitivity,unique “molecular fingerprint” recognition ability and label-free detection. This paper systematically reviews the discovery history and mechanism of SERS,the biological basis for its application in early cancer screening and its current application status,analyzes the core challenges in the process of translating this technology into population screening,and provides reference and theoretical support for its subsequent popularization and application in cancer early screening.
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