Early detection of lung cancer biomarkers through biosensor technology: A review

J Pharm Biomed Anal. 2019 Feb 5:164:93-103. doi: 10.1016/j.jpba.2018.10.017. Epub 2018 Oct 9.

Abstract

Lung cancer is undoubtedly one of the most serious health issues of the 21 st century. It is the second leading cause of cancer-related deaths in both men and women worldwide, accounting for about 1.5 million deaths annually. Despite advances in the treatment of lung cancer with new pharmaceutical products and technological improvements, morbidity and mortality rates remains a significant challenge for the cancer biologists and oncologists. The vast majority of lung cancer patients present with advanced-stage of pathological process that ultimately leads to poor prognosis and a five-year survival rate less than 20%. Early and accurate screening and analysis using cost-effective means are urgently needed to effectively diagnose the disease, improve the survival rate or to reduce mortality and morbidity associated with lung cancer patients. Thus, the only hope for early recognition of risk factors and timely diagnosis and treatment of lung cancer is biosensors technology. Novel biosensing based diagnostics approaches for predicting metastatic risks are likely to have significant therapeutic and clinical impact in the near future. This article systematically provides a brief overview of various biosensing platforms for identification of lung cancer disease biomarkers, with a specific focus on recent advancements in electrochemical and optical biosensors, analytical performances of different biosensors, challenges and further research opportunities for routine clinical analysis.

Keywords: Biomarkers; Detection; Diagnosis; Electrochemical and optical biosensors; Lung cancer.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor / analysis*
  • Biosensing Techniques / economics
  • Biosensing Techniques / methods*
  • Early Detection of Cancer / economics
  • Early Detection of Cancer / methods*
  • Humans
  • Lung Neoplasms / diagnosis*
  • Lung Neoplasms / mortality
  • Prognosis
  • Survival Rate

Substances

  • Biomarkers, Tumor