Concordance of Genomic Alterations by Next-Generation Sequencing in Tumor Tissue versus Cell-Free DNA in Stage I–IV Non–Small Cell Lung Cancer
Molecular biomarkers hold promise for personalization of cancer treatment. However, a typical tumor biopsy may be difficult to acquire and may not capture genetic variations within or across tumors. Given these limitations, tumor genotyping using next-generation sequencing of plasma-derived circulat...
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creator | Jiang, John Adams, Hans-Peter Yao, Lijing Yaung, Stephanie Lal, Preeti Balasubramanyam, Aarthi Fuhlbrück, Frederike Tikoo, Nalin Lovejoy, Alexander F. Froehler, Sebastian Fang, Li Tai Achenbach, H. Jost Floegel, Ralph Krügel, Rainer Palma, John F. |
description | Molecular biomarkers hold promise for personalization of cancer treatment. However, a typical tumor biopsy may be difficult to acquire and may not capture genetic variations within or across tumors. Given these limitations, tumor genotyping using next-generation sequencing of plasma-derived circulating tumor (ct)-DNA has the potential to transform non–small cell lung cancer (NSCLC) management. Importantly, mutations detected in biopsied tissue must also be detected in plasma-derived ctDNA at different disease stages. Using the AVENIO ctDNA Surveillance kit (research use only), mutations in ctDNA from NSCLC subjects were compared with those identified in matched tumor tissue samples, retrospectively. Plasma and tissue samples were collected from 141 treatment-naïve NSCLC subjects (stage I, n = 48; stage II, n = 37; stage III, n = 33; stage IV, n = 23). In plasma samples, the median numbers of variants per subject were 4, 6, 8, and 9 in those with stage I, II, III, and IV disease, respectively. The corresponding values in tissue samples were 5, 5, 6, and 4. The overall tissue-plasma concordance of stage II through IV was 62.2% by AVENIO software call. On multivariate analysis, concordance was positively and significantly associated with tumor size and cancer stage. Next-generation sequencing–based analyses with the AVENIO ctDNA Surveillance kit could be an alternative approach to detecting genetic variations in plasma-derived ctDNA isolated from NSCLC subjects. |
doi_str_mv | 10.1016/j.jmoldx.2019.10.013 |
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Jost ; Floegel, Ralph ; Krügel, Rainer ; Palma, John F.</creator><creatorcontrib>Jiang, John ; Adams, Hans-Peter ; Yao, Lijing ; Yaung, Stephanie ; Lal, Preeti ; Balasubramanyam, Aarthi ; Fuhlbrück, Frederike ; Tikoo, Nalin ; Lovejoy, Alexander F. ; Froehler, Sebastian ; Fang, Li Tai ; Achenbach, H. Jost ; Floegel, Ralph ; Krügel, Rainer ; Palma, John F.</creatorcontrib><description>Molecular biomarkers hold promise for personalization of cancer treatment. However, a typical tumor biopsy may be difficult to acquire and may not capture genetic variations within or across tumors. Given these limitations, tumor genotyping using next-generation sequencing of plasma-derived circulating tumor (ct)-DNA has the potential to transform non–small cell lung cancer (NSCLC) management. Importantly, mutations detected in biopsied tissue must also be detected in plasma-derived ctDNA at different disease stages. Using the AVENIO ctDNA Surveillance kit (research use only), mutations in ctDNA from NSCLC subjects were compared with those identified in matched tumor tissue samples, retrospectively. Plasma and tissue samples were collected from 141 treatment-naïve NSCLC subjects (stage I, n = 48; stage II, n = 37; stage III, n = 33; stage IV, n = 23). In plasma samples, the median numbers of variants per subject were 4, 6, 8, and 9 in those with stage I, II, III, and IV disease, respectively. The corresponding values in tissue samples were 5, 5, 6, and 4. The overall tissue-plasma concordance of stage II through IV was 62.2% by AVENIO software call. On multivariate analysis, concordance was positively and significantly associated with tumor size and cancer stage. Next-generation sequencing–based analyses with the AVENIO ctDNA Surveillance kit could be an alternative approach to detecting genetic variations in plasma-derived ctDNA isolated from NSCLC subjects.</description><identifier>ISSN: 1525-1578</identifier><identifier>EISSN: 1943-7811</identifier><identifier>DOI: 10.1016/j.jmoldx.2019.10.013</identifier><identifier>PMID: 31837429</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Alleles ; Biomarkers, Tumor ; Carcinoma, Non-Small-Cell Lung - diagnosis ; Carcinoma, Non-Small-Cell Lung - genetics ; Circulating Tumor DNA ; DNA, Neoplasm ; Female ; Genetic Association Studies - methods ; Genetic Predisposition to Disease ; Genetic Variation ; Genotype ; High-Throughput Nucleotide Sequencing - methods ; Humans ; Lung Neoplasms - diagnosis ; Lung Neoplasms - genetics ; Male ; Middle Aged ; Mutation ; Neoplasm Staging ; Odds Ratio ; Polymorphism, Single Nucleotide</subject><ispartof>The Journal of molecular diagnostics : JMD, 2020-02, Vol.22 (2), p.228-235</ispartof><rights>2020 American Society for Investigative Pathology and the Association for Molecular Pathology</rights><rights>Copyright © 2020 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-ae09a4c57a50dffaf604ed817259e8e191d0a07852fdf64e9b1edbbf2b1823163</citedby><cites>FETCH-LOGICAL-c474t-ae09a4c57a50dffaf604ed817259e8e191d0a07852fdf64e9b1edbbf2b1823163</cites><orcidid>0000-0002-3340-1252 ; 0000-0002-6922-9968 ; 0000-0002-0775-3326 ; 0000-0003-3201-5162</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1525157819304386$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31837429$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiang, John</creatorcontrib><creatorcontrib>Adams, Hans-Peter</creatorcontrib><creatorcontrib>Yao, Lijing</creatorcontrib><creatorcontrib>Yaung, Stephanie</creatorcontrib><creatorcontrib>Lal, Preeti</creatorcontrib><creatorcontrib>Balasubramanyam, Aarthi</creatorcontrib><creatorcontrib>Fuhlbrück, Frederike</creatorcontrib><creatorcontrib>Tikoo, Nalin</creatorcontrib><creatorcontrib>Lovejoy, Alexander F.</creatorcontrib><creatorcontrib>Froehler, Sebastian</creatorcontrib><creatorcontrib>Fang, Li Tai</creatorcontrib><creatorcontrib>Achenbach, H. Jost</creatorcontrib><creatorcontrib>Floegel, Ralph</creatorcontrib><creatorcontrib>Krügel, Rainer</creatorcontrib><creatorcontrib>Palma, John F.</creatorcontrib><title>Concordance of Genomic Alterations by Next-Generation Sequencing in Tumor Tissue versus Cell-Free DNA in Stage I–IV Non–Small Cell Lung Cancer</title><title>The Journal of molecular diagnostics : JMD</title><addtitle>J Mol Diagn</addtitle><description>Molecular biomarkers hold promise for personalization of cancer treatment. However, a typical tumor biopsy may be difficult to acquire and may not capture genetic variations within or across tumors. Given these limitations, tumor genotyping using next-generation sequencing of plasma-derived circulating tumor (ct)-DNA has the potential to transform non–small cell lung cancer (NSCLC) management. Importantly, mutations detected in biopsied tissue must also be detected in plasma-derived ctDNA at different disease stages. Using the AVENIO ctDNA Surveillance kit (research use only), mutations in ctDNA from NSCLC subjects were compared with those identified in matched tumor tissue samples, retrospectively. Plasma and tissue samples were collected from 141 treatment-naïve NSCLC subjects (stage I, n = 48; stage II, n = 37; stage III, n = 33; stage IV, n = 23). In plasma samples, the median numbers of variants per subject were 4, 6, 8, and 9 in those with stage I, II, III, and IV disease, respectively. The corresponding values in tissue samples were 5, 5, 6, and 4. The overall tissue-plasma concordance of stage II through IV was 62.2% by AVENIO software call. On multivariate analysis, concordance was positively and significantly associated with tumor size and cancer stage. Next-generation sequencing–based analyses with the AVENIO ctDNA Surveillance kit could be an alternative approach to detecting genetic variations in plasma-derived ctDNA isolated from NSCLC subjects.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alleles</subject><subject>Biomarkers, Tumor</subject><subject>Carcinoma, Non-Small-Cell Lung - diagnosis</subject><subject>Carcinoma, Non-Small-Cell Lung - genetics</subject><subject>Circulating Tumor DNA</subject><subject>DNA, Neoplasm</subject><subject>Female</subject><subject>Genetic Association Studies - methods</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic Variation</subject><subject>Genotype</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>Humans</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - genetics</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Neoplasm Staging</subject><subject>Odds Ratio</subject><subject>Polymorphism, Single Nucleotide</subject><issn>1525-1578</issn><issn>1943-7811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctu1DAUhiMEoqXwBgh5ySaDj-PcNkijQMtIo2ExA1vLsY8rjxK72EnV7ngGeEOeBIcZWLLy0e_vXP8sew10BRSqd8fVcfSDflgxCm2SVhSKJ9kltLzI6wbgaYpLVuZQ1s1F9iLGI6XAecWeZxcFNEXNWXuZ_ei8Uz5o6RQSb8gNOj9aRdbDhEFO1rtI-keyw4cpT39njezx24xOWXdLrCOHefSBHGyMM5J7DHGOpMNhyK8DIvmwWy_QfpK3SDa_vv_cfCU771KwH-Uw_CHJdk6lumWK8DJ7ZuQQ8dX5vcq-XH88dJ_y7eebTbfe5orXfMol0lZyVdaypNoYaSrKUTdQs7LFBqEFTSWtm5IZbSqObQ-o-96wHhpWQFVcZW9Pde-CT9vESYw2qjSMdOjnKFjB6qIBxnhC-QlVwccY0Ii7YEcZHgVQsbghjuLkhljcWNTkRkp7c-4w9yPqf0l_z5-A9ycA0573FoOIyqa7orYB1SS0t__v8BsTOaAK</recordid><startdate>202002</startdate><enddate>202002</enddate><creator>Jiang, John</creator><creator>Adams, Hans-Peter</creator><creator>Yao, Lijing</creator><creator>Yaung, Stephanie</creator><creator>Lal, Preeti</creator><creator>Balasubramanyam, Aarthi</creator><creator>Fuhlbrück, Frederike</creator><creator>Tikoo, Nalin</creator><creator>Lovejoy, Alexander F.</creator><creator>Froehler, Sebastian</creator><creator>Fang, Li Tai</creator><creator>Achenbach, H. 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Jost</au><au>Floegel, Ralph</au><au>Krügel, Rainer</au><au>Palma, John F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Concordance of Genomic Alterations by Next-Generation Sequencing in Tumor Tissue versus Cell-Free DNA in Stage I–IV Non–Small Cell Lung Cancer</atitle><jtitle>The Journal of molecular diagnostics : JMD</jtitle><addtitle>J Mol Diagn</addtitle><date>2020-02</date><risdate>2020</risdate><volume>22</volume><issue>2</issue><spage>228</spage><epage>235</epage><pages>228-235</pages><issn>1525-1578</issn><eissn>1943-7811</eissn><abstract>Molecular biomarkers hold promise for personalization of cancer treatment. However, a typical tumor biopsy may be difficult to acquire and may not capture genetic variations within or across tumors. Given these limitations, tumor genotyping using next-generation sequencing of plasma-derived circulating tumor (ct)-DNA has the potential to transform non–small cell lung cancer (NSCLC) management. Importantly, mutations detected in biopsied tissue must also be detected in plasma-derived ctDNA at different disease stages. Using the AVENIO ctDNA Surveillance kit (research use only), mutations in ctDNA from NSCLC subjects were compared with those identified in matched tumor tissue samples, retrospectively. Plasma and tissue samples were collected from 141 treatment-naïve NSCLC subjects (stage I, n = 48; stage II, n = 37; stage III, n = 33; stage IV, n = 23). In plasma samples, the median numbers of variants per subject were 4, 6, 8, and 9 in those with stage I, II, III, and IV disease, respectively. The corresponding values in tissue samples were 5, 5, 6, and 4. The overall tissue-plasma concordance of stage II through IV was 62.2% by AVENIO software call. On multivariate analysis, concordance was positively and significantly associated with tumor size and cancer stage. 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subjects | Adult Aged Aged, 80 and over Alleles Biomarkers, Tumor Carcinoma, Non-Small-Cell Lung - diagnosis Carcinoma, Non-Small-Cell Lung - genetics Circulating Tumor DNA DNA, Neoplasm Female Genetic Association Studies - methods Genetic Predisposition to Disease Genetic Variation Genotype High-Throughput Nucleotide Sequencing - methods Humans Lung Neoplasms - diagnosis Lung Neoplasms - genetics Male Middle Aged Mutation Neoplasm Staging Odds Ratio Polymorphism, Single Nucleotide |
title | Concordance of Genomic Alterations by Next-Generation Sequencing in Tumor Tissue versus Cell-Free DNA in Stage I–IV Non–Small Cell Lung Cancer |
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