• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

呼吸组学:一种用于乳腺癌诊断的非侵入性方法。

Breathomics: A Non-Invasive Approach for the Diagnosis of Breast Cancer.

作者信息

Yockell-Lelièvre Hélène, Philip Romy, Kaushik Palash, Masilamani Ashok Prabhu, Meterissian Sarkis H

机构信息

Noze, 4920 Pl. Olivia, Saint-Laurent, QC H4R 2Z8, Canada.

Department of Surgery and Oncology, McGill University, Montreal, QC H4A 3J1, Canada.

出版信息

Bioengineering (Basel). 2025 Apr 12;12(4):411. doi: 10.3390/bioengineering12040411.

DOI:10.3390/bioengineering12040411
PMID:40281771
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12025141/
Abstract

Breast cancer is the most commonly diagnosed cancer worldwide, underscoring the critical need for effective early detection methods to reduce mortality. Traditional detection techniques, such as mammography, present significant limitations, particularly in women with dense breast tissue, highlighting the need for alternative screening approaches. Breathomics, based on the analysis of Volatile Organic Compounds (VOCs) present in exhaled breath, offers a non-invasive, potentially transformative diagnostic tool. These VOCs are metabolic byproducts from various organs of the human body whose presence and varying concentrations in breath are reflective of different health conditions. This review explores the potential of breathomics, highlighting its promise as a rapid, cost-effective screening approach for breast cancer, facilitated through the integration of portable solutions like electronic noses (e-noses). Key considerations for clinical translation-including patient selection, environmental confounders, and different breath collection methods-will be examined in terms of how each of them affects the breath profile. However, there are also challenges such as patient variability in VOC signatures, and the need for standardization in breath sampling protocols. Future research should prioritize standardizing sampling and analytical procedures and validating their clinical utility through large-scale clinical trials.

摘要

乳腺癌是全球最常被诊断出的癌症,这凸显了对有效早期检测方法以降低死亡率的迫切需求。传统检测技术,如乳腺钼靶摄影,存在显著局限性,尤其是在乳腺组织致密的女性中,这突出了对替代筛查方法的需求。呼吸组学基于对呼出气体中挥发性有机化合物(VOCs)的分析,提供了一种非侵入性的、可能具有变革性的诊断工具。这些VOCs是人体各个器官的代谢副产物,其在呼出气体中的存在和不同浓度反映了不同的健康状况。本综述探讨了呼吸组学的潜力,强调其作为一种快速、经济高效的乳腺癌筛查方法的前景,通过集成电子鼻等便携式解决方案得以实现。将从临床转化的关键考虑因素(包括患者选择、环境混杂因素和不同的呼气收集方法)如何影响呼吸特征方面进行研究。然而,也存在一些挑战,如VOC特征在患者中的变异性,以及呼气采样方案标准化的必要性。未来的研究应优先标准化采样和分析程序,并通过大规模临床试验验证其临床效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/12025141/24805334ab18/bioengineering-12-00411-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/12025141/5c84578d13a3/bioengineering-12-00411-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/12025141/c5f5fcfdc037/bioengineering-12-00411-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/12025141/24805334ab18/bioengineering-12-00411-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/12025141/5c84578d13a3/bioengineering-12-00411-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/12025141/c5f5fcfdc037/bioengineering-12-00411-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/12025141/24805334ab18/bioengineering-12-00411-g003.jpg

相似文献

1
Breathomics: A Non-Invasive Approach for the Diagnosis of Breast Cancer.呼吸组学:一种用于乳腺癌诊断的非侵入性方法。
Bioengineering (Basel). 2025 Apr 12;12(4):411. doi: 10.3390/bioengineering12040411.
2
Electronic Nose and Exhaled Breath NMR-based Metabolomics Applications in Airways Disease.电子鼻和基于呼出气体核磁共振的代谢组学在气道疾病中的应用
Curr Top Med Chem. 2016;16(14):1610-30. doi: 10.2174/1568026616666151223113540.
3
Detection of volatile organic compounds (VOCs) from exhaled breath as noninvasive methods for cancer diagnosis.检测呼出气体中的挥发性有机化合物(VOCs)作为癌症诊断的非侵入性方法。
Anal Bioanal Chem. 2016 Apr;408(11):2759-80. doi: 10.1007/s00216-015-9200-6. Epub 2015 Dec 16.
4
Breathomics for the clinician: the use of volatile organic compounds in respiratory diseases.呼吸组学在临床中的应用:挥发性有机化合物在呼吸疾病中的应用
Thorax. 2021 May;76(5):514-521. doi: 10.1136/thoraxjnl-2020-215667. Epub 2021 Jan 7.
5
Advancements in breath-based diagnostics for pancreatic cancer: Current insights and future perspectives.胰腺癌呼气诊断的进展:当前见解与未来展望
World J Gastrointest Oncol. 2024 Jun 15;16(6):2300-2303. doi: 10.4251/wjgo.v16.i6.2300.
6
Breathomics from exhaled volatile organic compounds in pediatric asthma.呼出气挥发性有机化合物在儿科哮喘中的研究进展。
Pediatr Pulmonol. 2017 Dec;52(12):1616-1627. doi: 10.1002/ppul.23785. Epub 2017 Oct 30.
7
Current breathomics--a review on data pre-processing techniques and machine learning in metabolomics breath analysis.当前的呼吸组学——代谢组学呼吸分析中的数据预处理技术和机器学习综述。
J Breath Res. 2014 Jun;8(2):027105. doi: 10.1088/1752-7155/8/2/027105. Epub 2014 Apr 8.
8
Identification of lung cancer breath biomarkers based on perioperative breathomics testing: A prospective observational study.基于围手术期呼吸组学检测的肺癌呼吸生物标志物识别:一项前瞻性观察性研究。
EClinicalMedicine. 2022 Apr 16;47:101384. doi: 10.1016/j.eclinm.2022.101384. eCollection 2022 May.
9
Progress and challenges of developing volatile metabolites from exhaled breath as a biomarker platform.呼出气挥发性代谢物生物标志物平台的研究进展与挑战
Metabolomics. 2024 Jul 8;20(4):72. doi: 10.1007/s11306-024-02142-x.
10
Electronic nose: a non-invasive technology for breath analysis of diabetes and lung cancer patients.电子鼻:一种用于分析糖尿病和肺癌患者呼吸的非侵入性技术。
J Breath Res. 2019 Mar 6;13(2):024001. doi: 10.1088/1752-7163/aafc77.

本文引用的文献

1
Artificial intelligence for breast cancer screening in mammography (AI-STREAM): preliminary analysis of a prospective multicenter cohort study.用于乳腺钼靶筛查乳腺癌的人工智能(AI-STREAM):一项前瞻性多中心队列研究的初步分析
Nat Commun. 2025 Mar 6;16(1):2248. doi: 10.1038/s41467-025-57469-3.
2
Recent advances in signal processing algorithms for electronic noses.电子鼻信号处理算法的最新进展。
Talanta. 2025 Feb 1;283:127140. doi: 10.1016/j.talanta.2024.127140. Epub 2024 Oct 31.
3
Electronic Nose Humidity Compensation System Based on Rapid Detection.
基于快速检测的电子鼻湿度补偿系统
Sensors (Basel). 2024 Sep 10;24(18):5881. doi: 10.3390/s24185881.
4
Association Between False-Positive Results and Return to Screening Mammography in the Breast Cancer Surveillance Consortium Cohort.乳腺癌监测联盟队列中假阳性结果与重返筛查性乳房 X 光检查的关联。
Ann Intern Med. 2024 Oct;177(10):1297-1307. doi: 10.7326/M24-0123. Epub 2024 Sep 3.
5
Identification potential biomarkers for diagnosis, and progress of breast cancer by using high-pressure photon ionization time-of-flight mass spectrometry.利用高压光解电离飞行时间质谱鉴定乳腺癌诊断的潜在生物标志物及研究进展。
Anal Chim Acta. 2024 Sep 1;1320:342883. doi: 10.1016/j.aca.2024.342883. Epub 2024 Jul 10.
6
Fulfilling the Promise of Breathomics: Considerations for the Discovery and Validation of Exhaled Volatile Biomarkers.实现呼吸组学的承诺:呼气挥发性生物标志物的发现和验证的考虑因素。
Am J Respir Crit Care Med. 2024 Nov 1;210(9):1079-1090. doi: 10.1164/rccm.202305-0868TR.
7
Emerging trends in metal oxide-based electronic noses for healthcare applications: a review.基于金属氧化物的电子鼻在医疗保健应用中的新兴趋势:综述。
Nanoscale. 2024 May 16;16(19):9259-9283. doi: 10.1039/d4nr00073k.
8
A Clinical Breathomics Dataset.临床呼吸组学数据集
Sci Data. 2024 Feb 14;11(1):203. doi: 10.1038/s41597-024-03052-2.
9
Advancing Colorectal Cancer Diagnosis with AI-Powered Breathomics: Navigating Challenges and Future Directions.利用人工智能呼吸检测技术推进结直肠癌诊断:应对挑战与展望未来方向
Diagnostics (Basel). 2023 Dec 15;13(24):3673. doi: 10.3390/diagnostics13243673.
10
Breast cancers as ecosystems: a metabolic perspective.乳腺癌作为生态系统:代谢视角。
Cell Mol Life Sci. 2023 Aug 10;80(9):244. doi: 10.1007/s00018-023-04902-9.