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Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis

Waqar Ahmed Afridi, Simon Strachan, Surasak Kasetsirikul, Amandeep Singh, Narshone Soda, Daniel J. Gough, Nam‐Trung Nguyen, Muhammad J. A. Shiddiky

2023ACS Measurement Science Au26 citationsDOIOpen Access PDF

Abstract

Around the world, lung cancer has long been the main factor in cancer-related deaths, with small-cell lung cancer (SCLC) being the deadliest form of lung cancer. Cancer cell-derived exosomes and exosomal miRNAs are considered promising biomarkers for diagnosing and prognosis of various diseases, including SCLC. Due to the rapidity of SCLC metastasis, early detection and diagnosis can offer better diagnosis and prognosis and therefore increase the patient's chances of survival. Over the past several years, many methodologies have been developed for analyzing non-SCLC-derived exosomes. However, minimal advances have been made in SCLC-derived exosome analysis methodologies. This Review discusses the epidemiology and prominent biomarkers of SCLC. Followed by a discussion about the effective strategies for isolating and detecting SCLC-derived exosomes and exosomal miRNA, highlighting the critical challenges and limitations of current methodologies. Finally, an overview is provided detailing future perspectives for exosome-based SCLC research.

Topics & Concepts

MicrovesiclesExosomeLung cancermicroRNAMedicineMetastasisCancerIsolation (microbiology)OncologyBioinformaticsInternal medicineBiologyGeneBiochemistryExtracellular vesicles in diseaseMicroRNA in disease regulationGa2O3 and related materials
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