A Comprehensive Review of Protein Biomarkers for Invasive Lung Cancer

Author:

Mezentsev Alexandre12ORCID,Durymanov Mikhail1ORCID,Makarov Vladimir A.1ORCID

Affiliation:

1. Medical Informatics Laboratory, Yaroslav-the-Wise Novgorod State University, 173003 Veliky Novgorod, Russia

2. Center for Theoretical Problems of Physicochemical Pharmacology, 109029 Moscow, Russia

Abstract

Invasion and metastasis are important hallmarks of lung cancer, and affect patients’ survival. Early diagnostics of metastatic potential are important for treatment management. Recent findings suggest that the transition to an invasive phenotype causes changes in the expression of 700–800 genes. In this context, the biomarkers restricted to the specific type of cancer, like lung cancer, are often overlooked. Some well-known protein biomarkers correlate with the progression of the disease and the immunogenicity of the tumor. Most of these biomarkers are not exclusive to lung cancer because of their significant role in tumorigenesis. The dysregulation of others does not necessarily indicate cell invasiveness, as they play an active role in cell division. Clinical studies of lung cancer use protein biomarkers to assess the invasiveness of cancer cells for therapeutic purposes. However, there is still a need to discover new biomarkers for lung cancer. In the future, minimally invasive techniques, such as blood or saliva analyses, may be sufficient for this purpose. Many researchers suggest unconventional biomarkers, like circulating nucleic acids, exosomal proteins, and autoantibodies. This review paper aims to discuss the advantages and limitations of protein biomarkers of invasiveness in lung cancer, to assess their prognostic value, and propose novel biomarker candidates.

Funder

Ministry of Science and Higher Education of the Russian Federation

Publisher

MDPI AG

Reference288 articles.

1. Emerging Biological Principles of Metastasis;Lambert;Cell,2017

2. Saito, A., Horie, M., and Nagase, T. (2018). TGF-β Signaling in Lung Health and Disease. Int. J. Mol. Sci., 19.

3. Ferlay, J., Ervik, M., Lam, F., Colombet, M., Mery, L., Piñeros, M., and Global Cancer Observatory: Cancer Today (2024, May 01). Lyon: International Agency for Research on Cancer. Available online: https://gco.iarc.fr/today.

4. World Cancer Research Fund International (2024, May 01). Lung Cancer Statistics. Available online: https://www.wcrf.org/cancer-trends/lung-cancer-statistics/.

5. Travis, W.D., Brambilla, E., Burke, A.P., Marx, A., and Nicholson, A.G. (2015). WHO Classification of Tumours of the Lung, Pleura, Thymus and Heart, IARC. [4th ed.].

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3