Cargando…
Contributions of Circulating microRNAs for Early Detection of Lung Cancer
SIMPLE SUMMARY: Blood-based cancer biomarkers are a minimally invasive means to achieve improved assessment of risk and/or earlier detection of lung cancer. Using serum samples from individuals that went on to develop lung cancer within one year following blood draw and from matched controls, we inv...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454665/ https://www.ncbi.nlm.nih.gov/pubmed/36077759 http://dx.doi.org/10.3390/cancers14174221 |
_version_ | 1784785402927775744 |
---|---|
author | Vykoukal, Jody Fahrmann, Johannes F. Patel, Nikul Shimizu, Masayoshi Ostrin, Edwin J. Dennison, Jennifer B. Ivan, Cristina Goodman, Gary E. Thornquist, Mark D. Barnett, Matt J. Feng, Ziding Calin, George A. Hanash, Samir M. |
author_facet | Vykoukal, Jody Fahrmann, Johannes F. Patel, Nikul Shimizu, Masayoshi Ostrin, Edwin J. Dennison, Jennifer B. Ivan, Cristina Goodman, Gary E. Thornquist, Mark D. Barnett, Matt J. Feng, Ziding Calin, George A. Hanash, Samir M. |
author_sort | Vykoukal, Jody |
collection | PubMed |
description | SIMPLE SUMMARY: Blood-based cancer biomarkers are a minimally invasive means to achieve improved assessment of risk and/or earlier detection of lung cancer. Using serum samples from individuals that went on to develop lung cancer within one year following blood draw and from matched controls, we investigated 30 microRNAs for individual and combined utility to discriminate lung cancer cases from controls. We additionally assessed the contributions of top-performing microRNA candidates for improving on the performance of a previously validated four-protein marker panel for lung cancer detection. The results of this study indicate complementary performance of combining circulating microRNA and the four-protein-marker panel in assays for early detection of lung cancer. ABSTRACT: There is unmet need to develop circulating biomarkers that would enable earlier interception of lung cancer when more effective treatment options are available. Here, a set of 30 miRNAs, selected from a review of the published literature were assessed for their predictive performance in identifying lung cancer cases in the pre-diagnostic setting. The 30 miRNAs were assayed using sera collected from 102 individuals diagnosed with lung cancer within one year following blood draw and 212 controls matched for age, sex, and smoking status. The additive performance of top-performing miRNA candidates in combination with a previously validated four-protein marker panel (4MP) consisting of the precursor form of surfactant protein B (Pro-SFTPB), cancer antigen 125 (CA125), carcinoembryonic antigen (CEA) and cytokeratin-19 fragment (CYFRA21-1) was additionally assessed. Of the 30 miRNAs evaluated, five (miR-320a-3p, miR-210-3p, miR-92a-3p, miR-21-5p, and miR-140-3p) were statistically significantly (Wilcoxon rank sum test p < 0.05) elevated in case sera compared to controls, with individual AUCs ranging from 0.57–0.62. Compared to the 4MP alone, the combination of 3-miRNAs + 4MP improved sensitivity at 95% specificity by 19.1% ((95% CI of difference 0.0–28.6); two-sided p: 0.006). Our findings demonstrate utility for miRNAs for early detection of lung cancer in combination with a four-protein marker panel. |
format | Online Article Text |
id | pubmed-9454665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94546652022-09-09 Contributions of Circulating microRNAs for Early Detection of Lung Cancer Vykoukal, Jody Fahrmann, Johannes F. Patel, Nikul Shimizu, Masayoshi Ostrin, Edwin J. Dennison, Jennifer B. Ivan, Cristina Goodman, Gary E. Thornquist, Mark D. Barnett, Matt J. Feng, Ziding Calin, George A. Hanash, Samir M. Cancers (Basel) Article SIMPLE SUMMARY: Blood-based cancer biomarkers are a minimally invasive means to achieve improved assessment of risk and/or earlier detection of lung cancer. Using serum samples from individuals that went on to develop lung cancer within one year following blood draw and from matched controls, we investigated 30 microRNAs for individual and combined utility to discriminate lung cancer cases from controls. We additionally assessed the contributions of top-performing microRNA candidates for improving on the performance of a previously validated four-protein marker panel for lung cancer detection. The results of this study indicate complementary performance of combining circulating microRNA and the four-protein-marker panel in assays for early detection of lung cancer. ABSTRACT: There is unmet need to develop circulating biomarkers that would enable earlier interception of lung cancer when more effective treatment options are available. Here, a set of 30 miRNAs, selected from a review of the published literature were assessed for their predictive performance in identifying lung cancer cases in the pre-diagnostic setting. The 30 miRNAs were assayed using sera collected from 102 individuals diagnosed with lung cancer within one year following blood draw and 212 controls matched for age, sex, and smoking status. The additive performance of top-performing miRNA candidates in combination with a previously validated four-protein marker panel (4MP) consisting of the precursor form of surfactant protein B (Pro-SFTPB), cancer antigen 125 (CA125), carcinoembryonic antigen (CEA) and cytokeratin-19 fragment (CYFRA21-1) was additionally assessed. Of the 30 miRNAs evaluated, five (miR-320a-3p, miR-210-3p, miR-92a-3p, miR-21-5p, and miR-140-3p) were statistically significantly (Wilcoxon rank sum test p < 0.05) elevated in case sera compared to controls, with individual AUCs ranging from 0.57–0.62. Compared to the 4MP alone, the combination of 3-miRNAs + 4MP improved sensitivity at 95% specificity by 19.1% ((95% CI of difference 0.0–28.6); two-sided p: 0.006). Our findings demonstrate utility for miRNAs for early detection of lung cancer in combination with a four-protein marker panel. MDPI 2022-08-30 /pmc/articles/PMC9454665/ /pubmed/36077759 http://dx.doi.org/10.3390/cancers14174221 Text en © 2022 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 Vykoukal, Jody Fahrmann, Johannes F. Patel, Nikul Shimizu, Masayoshi Ostrin, Edwin J. Dennison, Jennifer B. Ivan, Cristina Goodman, Gary E. Thornquist, Mark D. Barnett, Matt J. Feng, Ziding Calin, George A. Hanash, Samir M. Contributions of Circulating microRNAs for Early Detection of Lung Cancer |
title | Contributions of Circulating microRNAs for Early Detection of Lung Cancer |
title_full | Contributions of Circulating microRNAs for Early Detection of Lung Cancer |
title_fullStr | Contributions of Circulating microRNAs for Early Detection of Lung Cancer |
title_full_unstemmed | Contributions of Circulating microRNAs for Early Detection of Lung Cancer |
title_short | Contributions of Circulating microRNAs for Early Detection of Lung Cancer |
title_sort | contributions of circulating micrornas for early detection of lung cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9454665/ https://www.ncbi.nlm.nih.gov/pubmed/36077759 http://dx.doi.org/10.3390/cancers14174221 |
work_keys_str_mv | AT vykoukaljody contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT fahrmannjohannesf contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT patelnikul contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT shimizumasayoshi contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT ostrinedwinj contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT dennisonjenniferb contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT ivancristina contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT goodmangarye contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT thornquistmarkd contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT barnettmattj contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT fengziding contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT calingeorgea contributionsofcirculatingmicrornasforearlydetectionoflungcancer AT hanashsamirm contributionsofcirculatingmicrornasforearlydetectionoflungcancer |