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肺癌生物标志物:最新进展

Lung cancer biomarkers: State of the art.

作者信息

Subramaniam Sangeetha, Thakur Ram Krishna, Yadav Vinod Kumar, Nanda Ranjan, Chowdhury Shantanu, Agrawal Anurag

机构信息

International Center for Genetic Engineering and Biotechnology, Delhi, India.

出版信息

J Carcinog. 2013 Feb 28;12:3. doi: 10.4103/1477-3163.107958. Print 2013.

Abstract

Lung cancer is one of the deadliest cancers worldwide, with the highest incidence and mortality amongst all cancers. While the prognosis of lung cancer is generally grim, with 5-year survival rates of only 15%, there is hope, and evidence, that early detection of lung cancer can reduce mortality. Today, only computed tomography screening has shown to lead to early detection and reduction in mortality, but is limited by being anatomic in nature, unable to differentiate between inflammatory and neoplastic pathways, and therefore, susceptible to false positives. There is increasing interest in biomarkers for lung cancer, especially those that predict metastatic risk. Some biomarkers like DNA mutations and epigenetic changes potentially require tissue from the at-risk site; some like serum proteins and miRNAs are minimally invasive, but may not be specific to the lung. In comparison, emerging biomarkers from exhaled breath, like volatile organic compounds (VOC), and exhaled breath condensate, e.g., small molecules and nucleic acids, have the potential to combine the best of both. This mini review is intended to provide an overview of the field, briefly discussing the potential of what is known and highlighting the exciting recent developments, particularly with miRNAs and VOCs.

摘要

肺癌是全球最致命的癌症之一,在所有癌症中发病率和死亡率最高。虽然肺癌的预后通常很严峻,5年生存率仅为15%,但有希望且有证据表明,肺癌的早期检测可以降低死亡率。如今,只有计算机断层扫描筛查已被证明能实现早期检测并降低死亡率,但它受限于其解剖学本质,无法区分炎症和肿瘤形成途径,因此容易出现假阳性。人们对肺癌生物标志物的兴趣与日俱增,尤其是那些能预测转移风险的生物标志物。一些生物标志物,如DNA突变和表观遗传变化,可能需要来自风险部位的组织;一些,如血清蛋白和微小RNA,具有微创性,但可能并非肺癌所特有。相比之下,呼出气体中的新兴生物标志物,如挥发性有机化合物(VOC),以及呼出气冷凝物,如小分子和核酸,有可能兼具两者的优势。本综述旨在概述该领域,简要讨论已知内容的潜力,并突出近期令人兴奋的进展,特别是与微小RNA和挥发性有机化合物相关的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f2c/3622361/b5db3ad55a51/JC-12-3-g001.jpg

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