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MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis

SIMPLE SUMMARY: Despite extensive efforts to identify cell-free circulating biomarkers for lung cancer, none have yet achieved clinical adoption. Recent evidence suggests that blood cell-derived molecules play significant roles in tumorigenesis and may serve as potential diagnostic biomarkers. In th...

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Autores principales: Geng, Xinyan, Ma, Jie, Dhilipkannah, Pushpa, Jiang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670279/
https://www.ncbi.nlm.nih.gov/pubmed/38001571
http://dx.doi.org/10.3390/cancers15225312
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author Geng, Xinyan
Ma, Jie
Dhilipkannah, Pushpa
Jiang, Feng
author_facet Geng, Xinyan
Ma, Jie
Dhilipkannah, Pushpa
Jiang, Feng
author_sort Geng, Xinyan
collection PubMed
description SIMPLE SUMMARY: Despite extensive efforts to identify cell-free circulating biomarkers for lung cancer, none have yet achieved clinical adoption. Recent evidence suggests that blood cell-derived molecules play significant roles in tumorigenesis and may serve as potential diagnostic biomarkers. In this study, we perform microRNA (miRNA) profiling on three primary blood cell types: red blood cells (RBCs), peripheral blood mononuclear cells, and neutrophils, comparing samples from lung cancer patients to healthy controls. We identify distinct miRNA signatures for each cell type and observe significant differences between patient and control cohorts. We show for the first time that RBC-miRNAs have potential as novel biomarkers for lung cancer. By constructing diagnostic panels based on cell-specific miRNAs, we demonstrate that integrating miRNAs from multiple cell sources offers superior diagnostic accuracy than relying on a single cell type. ABSTRACT: Background: Despite extensive endeavors to establish cell-free circulating biomarkers for lung cancer diagnosis, clinical adoption remains elusive. Noteworthy, emergent evidence suggests the pivotal roles of red blood cells (RBCs) and their derivatives in tumorigenesis, illuminating potential avenues for diagnostic advancements using blood cell-derived microRNAs (miRNAs). Methods: We executed microarray analyses on three principal blood cell types—RBCs, peripheral blood mononuclear cells (PBMCs), and neutrophils—encompassing 26 lung cancer patients and 26 healthy controls. Validation was performed using droplet digital PCR within an additional cohort comprising 42 lung cancer and 39 control cases. Results: Our investigation unearthed distinct miRNA profiles associated with lung cancer across all examined blood cell types. Intriguingly, RBC-miRNAs emerged as potential novel biomarkers for lung cancer, an observation yet to be documented. Importantly, integrating miRNAs from disparate blood cell types yielded a superior diagnostic accuracy for lung cancer over individual cell-type miRNAs. Subsequently, we formulated three diagnostic panels, adeptly discerning non-small cell lung cancer, adenocarcinoma, and squamous cell carcinoma, maintaining consistency across various disease stages. Conclusion: RBC-derived molecules introduce novel cancer biomarkers, and exploiting miRNA profiles across varied blood cell types unveils a promising frontier for lung cancer’s early detection and histological classification.
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spelling pubmed-106702792023-11-07 MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis Geng, Xinyan Ma, Jie Dhilipkannah, Pushpa Jiang, Feng Cancers (Basel) Article SIMPLE SUMMARY: Despite extensive efforts to identify cell-free circulating biomarkers for lung cancer, none have yet achieved clinical adoption. Recent evidence suggests that blood cell-derived molecules play significant roles in tumorigenesis and may serve as potential diagnostic biomarkers. In this study, we perform microRNA (miRNA) profiling on three primary blood cell types: red blood cells (RBCs), peripheral blood mononuclear cells, and neutrophils, comparing samples from lung cancer patients to healthy controls. We identify distinct miRNA signatures for each cell type and observe significant differences between patient and control cohorts. We show for the first time that RBC-miRNAs have potential as novel biomarkers for lung cancer. By constructing diagnostic panels based on cell-specific miRNAs, we demonstrate that integrating miRNAs from multiple cell sources offers superior diagnostic accuracy than relying on a single cell type. ABSTRACT: Background: Despite extensive endeavors to establish cell-free circulating biomarkers for lung cancer diagnosis, clinical adoption remains elusive. Noteworthy, emergent evidence suggests the pivotal roles of red blood cells (RBCs) and their derivatives in tumorigenesis, illuminating potential avenues for diagnostic advancements using blood cell-derived microRNAs (miRNAs). Methods: We executed microarray analyses on three principal blood cell types—RBCs, peripheral blood mononuclear cells (PBMCs), and neutrophils—encompassing 26 lung cancer patients and 26 healthy controls. Validation was performed using droplet digital PCR within an additional cohort comprising 42 lung cancer and 39 control cases. Results: Our investigation unearthed distinct miRNA profiles associated with lung cancer across all examined blood cell types. Intriguingly, RBC-miRNAs emerged as potential novel biomarkers for lung cancer, an observation yet to be documented. Importantly, integrating miRNAs from disparate blood cell types yielded a superior diagnostic accuracy for lung cancer over individual cell-type miRNAs. Subsequently, we formulated three diagnostic panels, adeptly discerning non-small cell lung cancer, adenocarcinoma, and squamous cell carcinoma, maintaining consistency across various disease stages. Conclusion: RBC-derived molecules introduce novel cancer biomarkers, and exploiting miRNA profiles across varied blood cell types unveils a promising frontier for lung cancer’s early detection and histological classification. MDPI 2023-11-07 /pmc/articles/PMC10670279/ /pubmed/38001571 http://dx.doi.org/10.3390/cancers15225312 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Geng, Xinyan
Ma, Jie
Dhilipkannah, Pushpa
Jiang, Feng
MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis
title MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis
title_full MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis
title_fullStr MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis
title_full_unstemmed MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis
title_short MicroRNA Profiling of Red Blood Cells for Lung Cancer Diagnosis
title_sort microrna profiling of red blood cells for lung cancer diagnosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670279/
https://www.ncbi.nlm.nih.gov/pubmed/38001571
http://dx.doi.org/10.3390/cancers15225312
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