Recent Advances in the Biosensors for the Detection of Lung Cancer Biomarkers: A Review

肺癌 医学 癌症 鉴定(生物学) 肺 肺癌的治疗 肺病 疾病 癌症检测 病理 癌症生物标志物 肿瘤科 生物传感器 正电子发射断层摄影术 癌症研究 内科学 评论文章 计算机断层摄影术
作者
Pooja Rahar,Saravjeet Singh
出处
期刊:Critical Reviews in Analytical Chemistry [Taylor & Francis]
卷期号:: 1-13
标识
DOI:10.1080/10408347.2025.2606194
摘要

Nearly 10 million deaths from cancer occurred in 2020, making it a major cause of death globally, according to the WHO and other important statistics. Given that lung cancer is one of the most prevalent types of cancer, it accounts for around 25% of all deaths from cancer-related causes. The two forms of lung cancer that are treated and characterized differently are small-cell and non-small-cell lung cancer. To identify malignant cells, several techniques have been used in recent decades, including MRI (magnetic resonance imaging), CT (computed tomography scans), and PET (positron emission tomography). The standard detection threshold of conventional assays is insufficient for early-stage detection. As a result, numerous detection techniques have been used to identify lung cancer early. The stages of lung cancer are indicated by the amounts of these biomarkers. As a result, lung cancer screening and clinical diagnosis can be accomplished by the identification of biomarkers. EGFR, CEA, CYFRA 21-1, ENO1, NSE, CA 19-9, CA 125, and VEGF are among the many biomarkers for lung cancer. To identify lung cancer disease biomarkers, an organized summary of several biosensing platforms is given in this article. In particular, it addresses the most recent advancements in optical and electrochemical biosensors, the analytical capabilities of various biosensors, the challenges, and potential directions for future study in regular clinical analysis. Therefore, this study reviews the latest developments and enhancements (2011-2025) in biosensors for the identification of biomarkers for lung cancer.
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