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Identification of Plasma Protein Biomarkers for Predicting Lung Cancer | Anticancer Research
<!DOCTYPE html> <html lang="en" dir="ltr" xmlns="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML"> <head prefix="og: http://ogp.me/ns# article: http://ogp.me/ns/article# book: http://ogp.me/ns/book#" > <!--[if IE]><![endif]--> <link rel="dns-prefetch" href="//cdn.jsdelivr.net" /> <link rel="dns-prefetch" href="//cdn.foxycart.com" /> <link rel="dns-prefetch" href="//scholar.google.com" /> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta name="Generator" content="Drupal 7 (http://drupal.org)" /> <link rel="canonical" href="https://ar.iiarjournals.org/content/44/11/5147" /> <link rel="alternate" type="application/pdf" title="Full Text (PDF)" href="/content/44/11/5147.full.pdf" /> <link rel="alternate" type="text/plain" title="Full Text (Plain)" href="/content/44/11/5147.full.txt" /> <link rel="alternate" type="application/vnd.ms-powerpoint" title="Powerpoint" href="/content/44/11/5147.ppt" /> <meta name="issue_cover_image" content="https://ar.iiarjournals.org/sites/default/files/highwire/anticanres/44/11.cover-source.jpg" /> <meta name="type" content="article" /> <meta name="category" content="research-article" /> <meta name="HW.identifier" content="/anticanres/44/11/5147.atom" /> <meta name="HW.pisa" content="anticanres;44/11/5147" /> <meta name="DC.Format" content="text/html" /> <meta name="DC.Language" content="en" /> <meta name="DC.Title" content="Identification of Plasma Protein Biomarkers for Predicting Lung Cancer" /> <meta name="DC.Identifier" content="10.21873/anticanres.17340" /> <meta name="DC.Date" content="2024-11-01" /> <meta name="DC.Publisher" content="International Institute of Anticancer Research" /> <meta name="DC.Rights" content="Copyright © 2024 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved." /> <meta name="DC.AccessRights" content="restricted" /> <meta name="DC.Description" content="Background/Aim: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating the development of effective early diagnostic strategies. Despite advancements in imaging and screening technologies, late-stage diagnoses remain common, limiting treatment options and reducing survival rates. Thus, there is a critical need for reliable, minimally invasive biomarkers to improve early detection and patient outcomes. Plasma protein biomarkers offer promising potential for early lung cancer detection and continuous disease monitoring. This study explored the potential of specific plasma protein markers as early indicators of lung cancer. Patients and Methods: Plasma samples were collected from normal healthy individuals and lung cancer patients, and protein purification and analysis were conducted using LC-MS/MS. A mixed-effect model was applied to select lung cancer-related protein markers based on label-free relative quantification values. Results: We identified 29 proteins with potential for early lung cancer diagnosis, including complement proteins (CFB, C3, C8G, C1QA, C1R, C6), orosomucoid proteins (ORM1, ORM2), ceruloplasmin (CP), alpha-1-B glycoprotein (A1BG), and others. These proteins play diverse roles in immune response, inflammation, and cell signaling, suggesting their relevance in lung cancer pathophysiology. Conclusion: Our findings suggest the potential of plasma proteins as early diagnostic biomarkers for lung cancer. Further validation in larger cohorts is needed to confirm their clinical utility. Integrating these biomarkers into existing diagnostic modalities could enhance early detection accuracy, leading to improved patient outcomes." /> <meta name="DC.Contributor" content="KI SA SUNG" /> <meta name="DC.Contributor" content="SANG JUN HAN" /> <meta name="DC.Contributor" content="JIHYE LEE" /> <meta name="DC.Contributor" content="MINSEOK KWON" /> <meta name="DC.Contributor" content="DUK-HWAN KIM" /> <meta name="DC.Contributor" content="YOUNG SUN OH" /> <meta name="article:published_time" content="2024-11-01" /> <meta name="article:section" content="Clinical Studies" /> <meta name="citation_title" content="Identification of Plasma Protein Biomarkers for Predicting Lung Cancer" /> <meta name="citation_abstract" lang="en" content="<p>Background/Aim: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating the development of effective early diagnostic strategies. Despite advancements in imaging and screening technologies, late-stage diagnoses remain common, limiting treatment options and reducing survival rates. Thus, there is a critical need for reliable, minimally invasive biomarkers to improve early detection and patient outcomes. Plasma protein biomarkers offer promising potential for early lung cancer detection and continuous disease monitoring. This study explored the potential of specific plasma protein markers as early indicators of lung cancer. Patients and Methods: Plasma samples were collected from normal healthy individuals and lung cancer patients, and protein purification and analysis were conducted using LC-MS/MS. A mixed-effect model was applied to select lung cancer-related protein markers based on label-free relative quantification values. Results: We identified 29 proteins with potential for early lung cancer diagnosis, including complement proteins (CFB, C3, C8G, C1QA, C1R, C6), orosomucoid proteins (ORM1, ORM2), ceruloplasmin (CP), alpha-1-B glycoprotein (A1BG), and others. These proteins play diverse roles in immune response, inflammation, and cell signaling, suggesting their relevance in lung cancer pathophysiology. Conclusion: Our findings suggest the potential of plasma proteins as early diagnostic biomarkers for lung cancer. Further validation in larger cohorts is needed to confirm their clinical utility. Integrating these biomarkers into existing diagnostic modalities could enhance early detection accuracy, leading to improved patient outcomes.</p>" /> <meta name="citation_journal_title" content="Anticancer Research" /> <meta name="citation_publisher" content="International Institute of Anticancer Research" /> <meta name="citation_publication_date" content="2024/11/01" /> <meta name="citation_mjid" content="anticanres;44/11/5147" /> <meta name="citation_id" content="44/11/5147" /> <meta name="citation_public_url" content="https://ar.iiarjournals.org/content/44/11/5147" /> <meta name="citation_abstract_html_url" content="https://ar.iiarjournals.org/content/44/11/5147.abstract" /> <meta name="citation_full_html_url" content="https://ar.iiarjournals.org/content/44/11/5147.full" /> <meta name="citation_pdf_url" content="https://ar.iiarjournals.org/content/anticanres/44/11/5147.full.pdf" /> <meta name="citation_issn" content="0250-7005" /> <meta name="citation_issn" content="1791-7530" /> <meta name="citation_doi" content="10.21873/anticanres.17340" /> <meta name="citation_pmid" content="39477293" /> <meta name="citation_volume" content="44" /> <meta name="citation_issue" content="11" /> <meta name="citation_article_type" content="Research Article" /> <meta name="citation_section" content="Clinical Studies" /> <meta name="citation_firstpage" content="5147" /> <meta name="citation_lastpage" content="5155" /> <meta name="citation_author" content="KI SA SUNG" /> <meta name="citation_author_institution" content="Target Link Therapeutics Incorporation, Seoul, Republic of Korea;" /> <meta name="citation_author" content="SANG JUN HAN" /> <meta name="citation_author_institution" content="Target Link Therapeutics Incorporation, Seoul, Republic of Korea;" /> <meta name="citation_author" content="JIHYE LEE" /> <meta name="citation_author_institution" content="Target Link Therapeutics Incorporation, Seoul, Republic of Korea;" /> <meta name="citation_author" content="MINSEOK KWON" /> <meta name="citation_author_institution" content="Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea;" /> <meta name="citation_author" content="DUK-HWAN KIM" /> <meta name="citation_author_institution" content="Department of Molecular Cell Biology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea" /> <meta name="citation_author" content="YOUNG SUN OH" /> <meta name="citation_author_institution" content="Target Link Therapeutics Incorporation, Seoul, Republic of Korea;" /> <meta name="citation_author_email" content="angelino5004@gmail.com" /> <meta name="citation_reference" content="citation_journal_title=CA Cancer J Clin;citation_author=H. 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Wysocka;citation_title=Oxidase activity of ceruloplasmin and concentrations of copper and zinc in serum of cancer patients.;citation_pages=193-196;citation_volume=15;citation_year=2001;citation_issue=2-3;citation_pmid=11787988;citation_doi=10.1016/S0946-672X(01)80066-3" /> <meta name="twitter:title" content="Identification of Plasma Protein Biomarkers for Predicting Lung Cancer" /> <meta name="twitter:card" content="summary_large_image" /> <meta name="twitter:image" content="https://ar.iiarjournals.org/sites/default/files/highwire/anticanres/44/11.cover-source.jpg" /> <meta name="twitter:description" content="Background/Aim: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating the development of effective early diagnostic strategies. Despite advancements in imaging and screening technologies, late-stage diagnoses remain common, limiting treatment options and reducing survival rates. Thus, there is a critical need for reliable, minimally invasive biomarkers to improve early detection and patient outcomes. Plasma protein biomarkers offer promising potential for early lung cancer detection and continuous disease monitoring. This study explored the potential of specific plasma protein markers as early indicators of lung cancer. Patients and Methods: Plasma samples were collected from normal healthy individuals and lung cancer patients, and protein purification and analysis were conducted using LC-MS/MS. A mixed-effect model was applied to select lung cancer-related protein markers based on label-free relative quantification values. Results: We identified 29 proteins with potential for early lung cancer diagnosis, including complement proteins (CFB, C3, C8G, C1QA, C1R, C6), orosomucoid proteins (ORM1, ORM2), ceruloplasmin (CP), alpha-1-B glycoprotein (A1BG), and others. These proteins play diverse roles in immune response, inflammation, and cell signaling, suggesting their relevance in lung cancer pathophysiology. Conclusion: Our findings suggest the potential of plasma proteins as early diagnostic biomarkers for lung cancer. Further validation in larger cohorts is needed to confirm their clinical utility. Integrating these biomarkers into existing diagnostic modalities could enhance early detection accuracy, leading to improved patient outcomes." /> <meta name="og-title" property="og:title" content="Identification of Plasma Protein Biomarkers for Predicting Lung Cancer" /> <meta name="og-url" property="og:url" content="https://ar.iiarjournals.org/content/44/11/5147" /> <meta name="og-site-name" property="og:site_name" content="Anticancer Research" /> <meta name="og-description" property="og:description" content="Background/Aim: Lung cancer remains a leading cause of cancer-related mortality worldwide, necessitating the development of effective early diagnostic strategies. Despite advancements in imaging and screening technologies, late-stage diagnoses remain common, limiting treatment options and reducing survival rates. Thus, there is a critical need for reliable, minimally invasive biomarkers to improve early detection and patient outcomes. Plasma protein biomarkers offer promising potential for early lung cancer detection and continuous disease monitoring. This study explored the potential of specific plasma protein markers as early indicators of lung cancer. Patients and Methods: Plasma samples were collected from normal healthy individuals and lung cancer patients, and protein purification and analysis were conducted using LC-MS/MS. A mixed-effect model was applied to select lung cancer-related protein markers based on label-free relative quantification values. Results: We identified 29 proteins with potential for early lung cancer diagnosis, including complement proteins (CFB, C3, C8G, C1QA, C1R, C6), orosomucoid proteins (ORM1, ORM2), ceruloplasmin (CP), alpha-1-B glycoprotein (A1BG), and others. These proteins play diverse roles in immune response, inflammation, and cell signaling, suggesting their relevance in lung cancer pathophysiology. Conclusion: Our findings suggest the potential of plasma proteins as early diagnostic biomarkers for lung cancer. Further validation in larger cohorts is needed to confirm their clinical utility. Integrating these biomarkers into existing diagnostic modalities could enhance early detection accuracy, leading to improved patient outcomes." /> <meta name="og-type" property="og:type" content="article" /> <meta name="og-image" property="og:image" content="https://ar.iiarjournals.org/sites/default/files/highwire/anticanres/44/11.cover-source.jpg" /> <link rel="shortlink" href="/node/82010" /> <link rel="shortcut icon" href="https://ar.iiarjournals.org/sites/default/files/images/favicon.ico" type="image/vnd.microsoft.icon" /> <meta name="viewport" content="width=device-width, initial-scale=1" /> <title>Identification of Plasma Protein Biomarkers for Predicting Lung Cancer | Anticancer Research</title> <link type="text/css" rel="stylesheet" href="/sites/default/files/advagg_css/css__QEy_BpbtMcsqv3xURK855GSs2fFjOibU10yA758Mn4c__NucWi_bEk5E3BNVDtTt2nhiPtE1A5I24YwRDQ2fojJ0__M8F9fri-b1QX8RwJbNRiWvN_bqCXCQEG9-9ZZDMJpyg.css" media="all" /> <link type="text/css" rel="stylesheet" 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class="highwire-cite highwire-cite-highwire-article highwire-citation-jcore-article-title-complete clearfix has-author-tooltip highwire-citation-highwire-article-top-a"> <div class="highwire-cite-overline"><span class="highwire-cite-metadata-article-type highwire-cite-metadata">Research Article</span><span class="separator-pipe"></span><span class="highwire-cite-metadata-art-cat highwire-cite-metadata"><span class="wrapper">Clinical Studies</span></span></div> <div class="highwire-cite-access"><span class="highwire-citation-access highwire-citation-access-check" data-pisa-id="anticanres;44/11/5147" data-atom-uri="/anticanres/44/11/5147.atom" data-request-view="full"></span></div> <h1 class="highwire-cite-title" id="page-title">Identification of Plasma Protein Biomarkers for Predicting Lung Cancer</h1> <div class="highwire-cite-authors"><span class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">KI SA SUNG</span>, <span class="highwire-citation-author" data-delta="1">SANG JUN HAN</span>, <span class="highwire-citation-author" data-delta="2">JIHYE LEE</span>, <span class="highwire-citation-author" data-delta="3">MINSEOK KWON</span>, <span class="highwire-citation-author" data-delta="4">DUK-HWAN KIM</span> and <span class="highwire-citation-author" data-delta="5">YOUNG SUN OH</span></span></div> <div class="highwire-cite-metadata"><span class="highwire-cite-metadata-journal highwire-cite-metadata">Anticancer Research </span><span class="highwire-cite-metadata-date highwire-cite-metadata">November 2024, </span><span class="highwire-cite-metadata-volume highwire-cite-metadata">44 </span><span class="highwire-cite-metadata-issue highwire-cite-metadata">(11) </span><span class="highwire-cite-metadata-pages highwire-cite-metadata">5147-5155; </span><span class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.21873/anticanres.17340 </span></div> <div class="highwire-cite-extras"><span class="highwire-foxycart-add-to-cart-ahah highwire-foxycart-add-to-cart-ahah" data-text="Add to Cart (%short-price)" data-apath="/anticanres/44/11/5147.atom" data-type="link" data-font-icon="" data-parent-id="81985"></span></div> </div> <div id="hw-article-author-popups-top-node-82010--2762505263" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">KI SA SUNG </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>1</span>Target Link Therapeutics Incorporation, Seoul, Republic of Korea;</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&gs_type=author&author%5B0%5D=KI%2BSA%2BSUNG%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=SUNG%20KS&link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3AKI%2BSA%2BSUNG%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">SANG JUN HAN </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>1</span>Target Link Therapeutics Incorporation, Seoul, Republic of Korea;</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&gs_type=author&author%5B0%5D=SANG%2BJUN%2BHAN%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li 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href="/lookup/google-scholar?link_type=googlescholar&gs_type=author&author%5B0%5D=DUK-HWAN%2BKIM%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=KIM%20D&link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link last"><a href="/search/author1%3ADUK-HWAN%2BKIM%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-5"><div class="author-tooltip-name">YOUNG SUN OH </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>1</span>Target Link Therapeutics Incorporation, Seoul, Republic of Korea;</div></span></div><ul class="author-tooltip-find-more"><li 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remains a leading cause of cancer-related mortality worldwide, necessitating the development of effective early diagnostic strategies. Despite advancements in imaging and screening technologies, late-stage diagnoses remain common, limiting treatment options and reducing survival rates. Thus, there is a critical need for reliable, minimally invasive biomarkers to improve early detection and patient outcomes. Plasma protein biomarkers offer promising potential for early lung cancer detection and continuous disease monitoring. This study explored the potential of specific plasma protein markers as early indicators of lung cancer. Patients and Methods: Plasma samples were collected from normal healthy individuals and lung cancer patients, and protein purification and analysis were conducted using LC-MS/MS. A mixed-effect model was applied to select lung cancer-related protein markers based on label-free relative quantification values. Results: We identified 29 proteins with potential for early lung cancer diagnosis, including complement proteins (CFB, C3, C8G, C1QA, C1R, C6), orosomucoid proteins (ORM1, ORM2), ceruloplasmin (CP), alpha-1-B glycoprotein (A1BG), and others. These proteins play diverse roles in immune response, inflammation, and cell signaling, suggesting their relevance in lung cancer pathophysiology. Conclusion: Our findings suggest the potential of plasma proteins as early diagnostic biomarkers for lung cancer. Further validation in larger cohorts is needed to confirm their clinical utility. Integrating these biomarkers into existing diagnostic modalities could enhance early detection accuracy, leading to improved patient outcomes.</p></div><span class="kwd-group-title">Key Words:</span><ul class="kwd-group"><li class="kwd"><a href="/keyword/plasma-biomarkers" class="hw-term hw-article-keyword hw-article-keyword-plasma-biomarkers" rel="nofollow">Plasma biomarkers</a></li><li class="kwd"><a href="/keyword/lung-cancer" class="hw-term hw-article-keyword hw-article-keyword-lung-cancer" rel="nofollow">lung cancer</a></li><li class="kwd"><a href="/keyword/non-small-cell-lung-cancer" class="hw-term hw-article-keyword hw-article-keyword-non-small-cell-lung-cancer" rel="nofollow">non-small cell lung cancer</a></li><li class="kwd"><a href="/keyword/complement-component" class="hw-term hw-article-keyword hw-article-keyword-complement-component" rel="nofollow">complement component</a></li><li class="kwd"><a href="/keyword/inflammation" class="hw-term hw-article-keyword hw-article-keyword-inflammation" rel="nofollow">inflammation</a></li></ul><ul class="history-list"><li xmlns:hwp="http://schema.highwire.org/Journal" class="received" hwp:start="2024-09-30"><span class="received-label">Received </span>September 30, 2024.</li><li xmlns:hwp="http://schema.highwire.org/Journal" class="rev-recd" hwp:start="2024-10-10"><span class="rev-recd-label">Revision received </span>October 10, 2024.</li><li xmlns:hwp="http://schema.highwire.org/Journal" class="accepted" hwp:start="2024-10-11"><span class="accepted-label">Accepted </span>October 11, 2024.</li></ul><ul class="copyright-statement"><li class="fn" id="copyright-statement-1">Copyright © 2024 International Institute of Anticancer Research (Dr. George J. 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