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

[Image: see text] 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 var...

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Autores principales: Afridi, Waqar Ahmed, Strachan, Simon, Kasetsirikul, Surasak, Pannu, Amandeep Singh, Soda, Narshone, Gough, Daniel, Nguyen, Nam-Trung, Shiddiky, Muhammad J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288614/
https://www.ncbi.nlm.nih.gov/pubmed/37360040
http://dx.doi.org/10.1021/acsmeasuresciau.2c00068
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author Afridi, Waqar Ahmed
Strachan, Simon
Kasetsirikul, Surasak
Pannu, Amandeep Singh
Soda, Narshone
Gough, Daniel
Nguyen, Nam-Trung
Shiddiky, Muhammad J. A.
author_facet Afridi, Waqar Ahmed
Strachan, Simon
Kasetsirikul, Surasak
Pannu, Amandeep Singh
Soda, Narshone
Gough, Daniel
Nguyen, Nam-Trung
Shiddiky, Muhammad J. A.
author_sort Afridi, Waqar Ahmed
collection PubMed
description [Image: see text] 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.
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spelling pubmed-102886142023-06-24 Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis Afridi, Waqar Ahmed Strachan, Simon Kasetsirikul, Surasak Pannu, Amandeep Singh Soda, Narshone Gough, Daniel Nguyen, Nam-Trung Shiddiky, Muhammad J. A. ACS Meas Sci Au [Image: see text] 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. American Chemical Society 2023-02-14 /pmc/articles/PMC10288614/ /pubmed/37360040 http://dx.doi.org/10.1021/acsmeasuresciau.2c00068 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Afridi, Waqar Ahmed
Strachan, Simon
Kasetsirikul, Surasak
Pannu, Amandeep Singh
Soda, Narshone
Gough, Daniel
Nguyen, Nam-Trung
Shiddiky, Muhammad J. A.
Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis
title Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis
title_full Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis
title_fullStr Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis
title_full_unstemmed Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis
title_short Potential Avenues for Exosomal Isolation and Detection Methods to Enhance Small-Cell Lung Cancer Analysis
title_sort potential avenues for exosomal isolation and detection methods to enhance small-cell lung cancer analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288614/
https://www.ncbi.nlm.nih.gov/pubmed/37360040
http://dx.doi.org/10.1021/acsmeasuresciau.2c00068
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