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Genes associated with increased brain metastasis risk in non–small cell lung cancer: Comprehensive genomic profiling of 61 resected brain metastases versus primary non–small cell lung cancer (Guangdong Association Study of Thoracic Oncology 1036)

Background Patients with brain metastases (BMs) have a poor prognosis and limited therapeutic options. Lung cancer is the most common primary malignancy giving rise to BMs; thus, understanding the molecular mechanisms behind increased BM risk is essential for identifying therapeutic targets and deve...

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Published in:Cancer 2019-10, Vol.125 (20), p.3535-3544
Main Authors: Wang, Hongsheng, Ou, Qiuxiang, Li, Delan, Qin, Tao, Bao, Hua, Hou, Xue, Wang, Kaicheng, Wang, Fang, Deng, Qianqian, Liang, Jianzhong, Zheng, Wei, Wu, Xue, Wang, Xiaonan, Shao, Yang W., Mou, Yonggao, Chen, Likun
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cited_by cdi_FETCH-LOGICAL-c3932-4f902d00bf8f24985f0b7cae40a37fc961d714ebffd34f97519cde950938292d3
cites cdi_FETCH-LOGICAL-c3932-4f902d00bf8f24985f0b7cae40a37fc961d714ebffd34f97519cde950938292d3
container_end_page 3544
container_issue 20
container_start_page 3535
container_title Cancer
container_volume 125
creator Wang, Hongsheng
Ou, Qiuxiang
Li, Delan
Qin, Tao
Bao, Hua
Hou, Xue
Wang, Kaicheng
Wang, Fang
Deng, Qianqian
Liang, Jianzhong
Zheng, Wei
Wu, Xue
Wang, Xiaonan
Shao, Yang W.
Mou, Yonggao
Chen, Likun
description Background Patients with brain metastases (BMs) have a poor prognosis and limited therapeutic options. Lung cancer is the most common primary malignancy giving rise to BMs; thus, understanding the molecular mechanisms behind increased BM risk is essential for identifying therapeutic targets and developing effective interventions. Methods Sixty‐one patients who underwent surgical resection of primary non–small cell lung cancer (NSCLC) and BMs were retrospectively studied. Comprehensive genomic profiling of primary NSCLC and matched BMs was performed with next‐generation sequencing targeting 416 cancer‐relevant genes. Results Mutations of major drivers, including EGFR, KRAS, TP53, and ALK, were highly concordant between primary NSCLC and matched BMs (>80%), whereas discordance suggested the unique genomic evolution and oncogenic mechanisms of NSCLC BMs. BMs also demonstrated higher levels of copy number variations in comparison with primary NSCLC. Furthermore, the alterations of genes encoding CDK4/CCND1, CDKN2A/2B, and PI3K signaling pathways were enriched in BMs, and this suggested their correlation with increased metastatic risk. Indeed, patients with activated PI3K signaling in their primary NSCLC had significantly shorter BM‐free survival (hazard ratio, 8.49; P = .0005). In addition, mutated TP53 or an activated WNT pathway via CTNNB1, APC, and AXIN2 mutations trended toward shorter BM‐free intervals but not significantly so. Conclusions These findings yield detailed insights into the genomic complexity and heterogeneity of primary NSCLC and matched BMs. This study highlights the significant correlation of PI3K signaling with increased metastatic risk in patients with NSCLC and identifies genomic alterations enriched in NSCLC BMs that could serve as prognostic markers and potential therapeutic targets for treating patients with NSCLC BMs. The driver mutation status is highly concordant between primary non–small cell lung cancer (NSCLC) and paired brain metastases, but increased genomic instability can be seen in brain metastases in comparison with primary NSCLC. Aberrant PI3K signaling of primary NSCLC is significantly correlated with increased brain metastasis risk.
doi_str_mv 10.1002/cncr.32372
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Lung cancer is the most common primary malignancy giving rise to BMs; thus, understanding the molecular mechanisms behind increased BM risk is essential for identifying therapeutic targets and developing effective interventions. Methods Sixty‐one patients who underwent surgical resection of primary non–small cell lung cancer (NSCLC) and BMs were retrospectively studied. Comprehensive genomic profiling of primary NSCLC and matched BMs was performed with next‐generation sequencing targeting 416 cancer‐relevant genes. Results Mutations of major drivers, including EGFR, KRAS, TP53, and ALK, were highly concordant between primary NSCLC and matched BMs (&gt;80%), whereas discordance suggested the unique genomic evolution and oncogenic mechanisms of NSCLC BMs. BMs also demonstrated higher levels of copy number variations in comparison with primary NSCLC. Furthermore, the alterations of genes encoding CDK4/CCND1, CDKN2A/2B, and PI3K signaling pathways were enriched in BMs, and this suggested their correlation with increased metastatic risk. Indeed, patients with activated PI3K signaling in their primary NSCLC had significantly shorter BM‐free survival (hazard ratio, 8.49; P = .0005). In addition, mutated TP53 or an activated WNT pathway via CTNNB1, APC, and AXIN2 mutations trended toward shorter BM‐free intervals but not significantly so. Conclusions These findings yield detailed insights into the genomic complexity and heterogeneity of primary NSCLC and matched BMs. This study highlights the significant correlation of PI3K signaling with increased metastatic risk in patients with NSCLC and identifies genomic alterations enriched in NSCLC BMs that could serve as prognostic markers and potential therapeutic targets for treating patients with NSCLC BMs. The driver mutation status is highly concordant between primary non–small cell lung cancer (NSCLC) and paired brain metastases, but increased genomic instability can be seen in brain metastases in comparison with primary NSCLC. Aberrant PI3K signaling of primary NSCLC is significantly correlated with increased brain metastasis risk.</description><identifier>ISSN: 0008-543X</identifier><identifier>EISSN: 1097-0142</identifier><identifier>DOI: 10.1002/cncr.32372</identifier><identifier>PMID: 31287555</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>1-Phosphatidylinositol 3-kinase ; Adenomatous polyposis coli ; Adult ; Aged ; Brain ; Brain cancer ; brain metastasis ; Brain Neoplasms - genetics ; Brain Neoplasms - pathology ; Brain Neoplasms - secondary ; Brain Neoplasms - surgery ; Carcinoma, Non-Small-Cell Lung - genetics ; Carcinoma, Non-Small-Cell Lung - pathology ; Carcinoma, Non-Small-Cell Lung - surgery ; CDK4/CCND1 ; CDKN2A/2B ; Copy number ; Correlation analysis ; Cyclin D1 - genetics ; Cyclin-dependent kinase 4 ; Cyclin-Dependent Kinase 4 - genetics ; Cyclin-Dependent Kinase Inhibitor p15 - genetics ; Cyclin-Dependent Kinase Inhibitor p16 - genetics ; Discordance ; DNA Copy Number Variations - genetics ; Epidermal growth factor receptors ; Female ; Gene Expression Regulation, Neoplastic - genetics ; Gene sequencing ; Genes ; genomic instability ; Genomic Instability - genetics ; Genomics ; Health risks ; Heterogeneity ; High-Throughput Nucleotide Sequencing ; Humans ; Lung cancer ; Male ; Malignancy ; Medical prognosis ; Metastases ; Metastasis ; Middle Aged ; Molecular modelling ; Mutation ; Mutation - genetics ; Neoplasm Metastasis ; Neoplasm Proteins - genetics ; Non-small cell lung carcinoma ; non–small cell lung cancer (NSCLC) ; Oncology ; p53 Protein ; PI3K pathway ; prognosis ; Retrospective Studies ; Risk ; Signal transduction ; Signaling ; Small cell lung carcinoma ; Therapeutic applications ; Thorax ; Transcriptome - genetics ; Wnt protein</subject><ispartof>Cancer, 2019-10, Vol.125 (20), p.3535-3544</ispartof><rights>2019 American Cancer Society</rights><rights>2019 American Cancer Society.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3932-4f902d00bf8f24985f0b7cae40a37fc961d714ebffd34f97519cde950938292d3</citedby><cites>FETCH-LOGICAL-c3932-4f902d00bf8f24985f0b7cae40a37fc961d714ebffd34f97519cde950938292d3</cites><orcidid>0000-0002-2961-2057 ; 0000-0002-0054-4820 ; 0000-0002-7158-3878 ; 0000-0001-5774-8755</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31287555$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Hongsheng</creatorcontrib><creatorcontrib>Ou, Qiuxiang</creatorcontrib><creatorcontrib>Li, Delan</creatorcontrib><creatorcontrib>Qin, Tao</creatorcontrib><creatorcontrib>Bao, Hua</creatorcontrib><creatorcontrib>Hou, Xue</creatorcontrib><creatorcontrib>Wang, Kaicheng</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Deng, Qianqian</creatorcontrib><creatorcontrib>Liang, Jianzhong</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><creatorcontrib>Wu, Xue</creatorcontrib><creatorcontrib>Wang, Xiaonan</creatorcontrib><creatorcontrib>Shao, Yang W.</creatorcontrib><creatorcontrib>Mou, Yonggao</creatorcontrib><creatorcontrib>Chen, Likun</creatorcontrib><title>Genes associated with increased brain metastasis risk in non–small cell lung cancer: Comprehensive genomic profiling of 61 resected brain metastases versus primary non–small cell lung cancer (Guangdong Association Study of Thoracic Oncology 1036)</title><title>Cancer</title><addtitle>Cancer</addtitle><description>Background Patients with brain metastases (BMs) have a poor prognosis and limited therapeutic options. Lung cancer is the most common primary malignancy giving rise to BMs; thus, understanding the molecular mechanisms behind increased BM risk is essential for identifying therapeutic targets and developing effective interventions. Methods Sixty‐one patients who underwent surgical resection of primary non–small cell lung cancer (NSCLC) and BMs were retrospectively studied. Comprehensive genomic profiling of primary NSCLC and matched BMs was performed with next‐generation sequencing targeting 416 cancer‐relevant genes. Results Mutations of major drivers, including EGFR, KRAS, TP53, and ALK, were highly concordant between primary NSCLC and matched BMs (&gt;80%), whereas discordance suggested the unique genomic evolution and oncogenic mechanisms of NSCLC BMs. BMs also demonstrated higher levels of copy number variations in comparison with primary NSCLC. Furthermore, the alterations of genes encoding CDK4/CCND1, CDKN2A/2B, and PI3K signaling pathways were enriched in BMs, and this suggested their correlation with increased metastatic risk. Indeed, patients with activated PI3K signaling in their primary NSCLC had significantly shorter BM‐free survival (hazard ratio, 8.49; P = .0005). In addition, mutated TP53 or an activated WNT pathway via CTNNB1, APC, and AXIN2 mutations trended toward shorter BM‐free intervals but not significantly so. Conclusions These findings yield detailed insights into the genomic complexity and heterogeneity of primary NSCLC and matched BMs. This study highlights the significant correlation of PI3K signaling with increased metastatic risk in patients with NSCLC and identifies genomic alterations enriched in NSCLC BMs that could serve as prognostic markers and potential therapeutic targets for treating patients with NSCLC BMs. The driver mutation status is highly concordant between primary non–small cell lung cancer (NSCLC) and paired brain metastases, but increased genomic instability can be seen in brain metastases in comparison with primary NSCLC. Aberrant PI3K signaling of primary NSCLC is significantly correlated with increased brain metastasis risk.</description><subject>1-Phosphatidylinositol 3-kinase</subject><subject>Adenomatous polyposis coli</subject><subject>Adult</subject><subject>Aged</subject><subject>Brain</subject><subject>Brain cancer</subject><subject>brain metastasis</subject><subject>Brain Neoplasms - genetics</subject><subject>Brain Neoplasms - pathology</subject><subject>Brain Neoplasms - secondary</subject><subject>Brain Neoplasms - surgery</subject><subject>Carcinoma, Non-Small-Cell Lung - genetics</subject><subject>Carcinoma, Non-Small-Cell Lung - pathology</subject><subject>Carcinoma, Non-Small-Cell Lung - surgery</subject><subject>CDK4/CCND1</subject><subject>CDKN2A/2B</subject><subject>Copy number</subject><subject>Correlation analysis</subject><subject>Cyclin D1 - genetics</subject><subject>Cyclin-dependent kinase 4</subject><subject>Cyclin-Dependent Kinase 4 - genetics</subject><subject>Cyclin-Dependent Kinase Inhibitor p15 - genetics</subject><subject>Cyclin-Dependent Kinase Inhibitor p16 - genetics</subject><subject>Discordance</subject><subject>DNA Copy Number Variations - genetics</subject><subject>Epidermal growth factor receptors</subject><subject>Female</subject><subject>Gene Expression Regulation, Neoplastic - genetics</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>genomic instability</subject><subject>Genomic Instability - genetics</subject><subject>Genomics</subject><subject>Health risks</subject><subject>Heterogeneity</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Male</subject><subject>Malignancy</subject><subject>Medical prognosis</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Molecular modelling</subject><subject>Mutation</subject><subject>Mutation - genetics</subject><subject>Neoplasm Metastasis</subject><subject>Neoplasm Proteins - genetics</subject><subject>Non-small cell lung carcinoma</subject><subject>non–small cell lung cancer (NSCLC)</subject><subject>Oncology</subject><subject>p53 Protein</subject><subject>PI3K pathway</subject><subject>prognosis</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Signal transduction</subject><subject>Signaling</subject><subject>Small cell lung carcinoma</subject><subject>Therapeutic applications</subject><subject>Thorax</subject><subject>Transcriptome - genetics</subject><subject>Wnt protein</subject><issn>0008-543X</issn><issn>1097-0142</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kt9qFDEUxoModq3e-AAS8KYKU_Nnspl4Vwa7CsWCVvBuyGROdlNnkjaZadm7voNv6GN4ZcZdvVAohIST_PJ9OeFD6Dklx5QQ9sZ4E48545I9QAtKlCwILdlDtCCEVIUo-dcD9CSly1xKJvhjdMApq6QQYoF-rsBDwjqlYJweocO3btxglyVBp1y2UTuPBxh1ysMlHF36ls-xD_7H3fc06L7HBvLUT36NjfYG4ltch-EqwgZ8cjeA1-DD4Ay-isG63mUuWLykOEICM_7nkh90AzFNKV9wg47be83w0WrSft2FvHOy78MFjz-PU7edjS42IWqT7c-9CX1YbzElfPnqKXpkdZ_g2X49RF9O313U74uz89WH-uSsMFxxVpRWEdYR0trKslJVwpJWGg0l0Vxao5a0k7SE1tqOZ1YKqkwHShDFK6ZYxw_R0U43d389QRqbwaW5Ce0hTKlhTJSCLktCMvryH_QyTNHn12VKSVopWc3U6x1lYkgpgm3239RQ0syJaOZENL8TkeEXe8mpHaD7i_6JQAboDrh1PWzvkWrqj_WnnegvwbbHwA</recordid><startdate>20191015</startdate><enddate>20191015</enddate><creator>Wang, Hongsheng</creator><creator>Ou, Qiuxiang</creator><creator>Li, Delan</creator><creator>Qin, Tao</creator><creator>Bao, Hua</creator><creator>Hou, Xue</creator><creator>Wang, Kaicheng</creator><creator>Wang, Fang</creator><creator>Deng, Qianqian</creator><creator>Liang, Jianzhong</creator><creator>Zheng, Wei</creator><creator>Wu, Xue</creator><creator>Wang, Xiaonan</creator><creator>Shao, Yang W.</creator><creator>Mou, Yonggao</creator><creator>Chen, Likun</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TO</scope><scope>7U7</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2961-2057</orcidid><orcidid>https://orcid.org/0000-0002-0054-4820</orcidid><orcidid>https://orcid.org/0000-0002-7158-3878</orcidid><orcidid>https://orcid.org/0000-0001-5774-8755</orcidid></search><sort><creationdate>20191015</creationdate><title>Genes associated with increased brain metastasis risk in non–small cell lung cancer: Comprehensive genomic profiling of 61 resected brain metastases versus primary non–small cell lung cancer (Guangdong Association Study of Thoracic Oncology 1036)</title><author>Wang, Hongsheng ; Ou, Qiuxiang ; Li, Delan ; Qin, Tao ; Bao, Hua ; Hou, Xue ; Wang, Kaicheng ; Wang, Fang ; Deng, Qianqian ; Liang, Jianzhong ; Zheng, Wei ; Wu, Xue ; Wang, Xiaonan ; Shao, Yang W. ; Mou, Yonggao ; Chen, Likun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3932-4f902d00bf8f24985f0b7cae40a37fc961d714ebffd34f97519cde950938292d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>1-Phosphatidylinositol 3-kinase</topic><topic>Adenomatous polyposis coli</topic><topic>Adult</topic><topic>Aged</topic><topic>Brain</topic><topic>Brain cancer</topic><topic>brain metastasis</topic><topic>Brain Neoplasms - genetics</topic><topic>Brain Neoplasms - pathology</topic><topic>Brain Neoplasms - secondary</topic><topic>Brain Neoplasms - surgery</topic><topic>Carcinoma, Non-Small-Cell Lung - genetics</topic><topic>Carcinoma, Non-Small-Cell Lung - pathology</topic><topic>Carcinoma, Non-Small-Cell Lung - surgery</topic><topic>CDK4/CCND1</topic><topic>CDKN2A/2B</topic><topic>Copy number</topic><topic>Correlation analysis</topic><topic>Cyclin D1 - genetics</topic><topic>Cyclin-dependent kinase 4</topic><topic>Cyclin-Dependent Kinase 4 - genetics</topic><topic>Cyclin-Dependent Kinase Inhibitor p15 - genetics</topic><topic>Cyclin-Dependent Kinase Inhibitor p16 - genetics</topic><topic>Discordance</topic><topic>DNA Copy Number Variations - genetics</topic><topic>Epidermal growth factor receptors</topic><topic>Female</topic><topic>Gene Expression Regulation, Neoplastic - genetics</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>genomic instability</topic><topic>Genomic Instability - genetics</topic><topic>Genomics</topic><topic>Health risks</topic><topic>Heterogeneity</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>Lung cancer</topic><topic>Male</topic><topic>Malignancy</topic><topic>Medical prognosis</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Molecular modelling</topic><topic>Mutation</topic><topic>Mutation - genetics</topic><topic>Neoplasm Metastasis</topic><topic>Neoplasm Proteins - genetics</topic><topic>Non-small cell lung carcinoma</topic><topic>non–small cell lung cancer (NSCLC)</topic><topic>Oncology</topic><topic>p53 Protein</topic><topic>PI3K pathway</topic><topic>prognosis</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Signal transduction</topic><topic>Signaling</topic><topic>Small cell lung carcinoma</topic><topic>Therapeutic applications</topic><topic>Thorax</topic><topic>Transcriptome - genetics</topic><topic>Wnt protein</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Hongsheng</creatorcontrib><creatorcontrib>Ou, Qiuxiang</creatorcontrib><creatorcontrib>Li, Delan</creatorcontrib><creatorcontrib>Qin, Tao</creatorcontrib><creatorcontrib>Bao, Hua</creatorcontrib><creatorcontrib>Hou, Xue</creatorcontrib><creatorcontrib>Wang, Kaicheng</creatorcontrib><creatorcontrib>Wang, Fang</creatorcontrib><creatorcontrib>Deng, Qianqian</creatorcontrib><creatorcontrib>Liang, Jianzhong</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><creatorcontrib>Wu, Xue</creatorcontrib><creatorcontrib>Wang, Xiaonan</creatorcontrib><creatorcontrib>Shao, Yang W.</creatorcontrib><creatorcontrib>Mou, Yonggao</creatorcontrib><creatorcontrib>Chen, Likun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Hongsheng</au><au>Ou, Qiuxiang</au><au>Li, Delan</au><au>Qin, Tao</au><au>Bao, Hua</au><au>Hou, Xue</au><au>Wang, Kaicheng</au><au>Wang, Fang</au><au>Deng, Qianqian</au><au>Liang, Jianzhong</au><au>Zheng, Wei</au><au>Wu, Xue</au><au>Wang, Xiaonan</au><au>Shao, Yang W.</au><au>Mou, Yonggao</au><au>Chen, Likun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genes associated with increased brain metastasis risk in non–small cell lung cancer: Comprehensive genomic profiling of 61 resected brain metastases versus primary non–small cell lung cancer (Guangdong Association Study of Thoracic Oncology 1036)</atitle><jtitle>Cancer</jtitle><addtitle>Cancer</addtitle><date>2019-10-15</date><risdate>2019</risdate><volume>125</volume><issue>20</issue><spage>3535</spage><epage>3544</epage><pages>3535-3544</pages><issn>0008-543X</issn><eissn>1097-0142</eissn><abstract>Background Patients with brain metastases (BMs) have a poor prognosis and limited therapeutic options. Lung cancer is the most common primary malignancy giving rise to BMs; thus, understanding the molecular mechanisms behind increased BM risk is essential for identifying therapeutic targets and developing effective interventions. Methods Sixty‐one patients who underwent surgical resection of primary non–small cell lung cancer (NSCLC) and BMs were retrospectively studied. Comprehensive genomic profiling of primary NSCLC and matched BMs was performed with next‐generation sequencing targeting 416 cancer‐relevant genes. Results Mutations of major drivers, including EGFR, KRAS, TP53, and ALK, were highly concordant between primary NSCLC and matched BMs (&gt;80%), whereas discordance suggested the unique genomic evolution and oncogenic mechanisms of NSCLC BMs. BMs also demonstrated higher levels of copy number variations in comparison with primary NSCLC. Furthermore, the alterations of genes encoding CDK4/CCND1, CDKN2A/2B, and PI3K signaling pathways were enriched in BMs, and this suggested their correlation with increased metastatic risk. Indeed, patients with activated PI3K signaling in their primary NSCLC had significantly shorter BM‐free survival (hazard ratio, 8.49; P = .0005). In addition, mutated TP53 or an activated WNT pathway via CTNNB1, APC, and AXIN2 mutations trended toward shorter BM‐free intervals but not significantly so. Conclusions These findings yield detailed insights into the genomic complexity and heterogeneity of primary NSCLC and matched BMs. This study highlights the significant correlation of PI3K signaling with increased metastatic risk in patients with NSCLC and identifies genomic alterations enriched in NSCLC BMs that could serve as prognostic markers and potential therapeutic targets for treating patients with NSCLC BMs. The driver mutation status is highly concordant between primary non–small cell lung cancer (NSCLC) and paired brain metastases, but increased genomic instability can be seen in brain metastases in comparison with primary NSCLC. Aberrant PI3K signaling of primary NSCLC is significantly correlated with increased brain metastasis risk.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31287555</pmid><doi>10.1002/cncr.32372</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2961-2057</orcidid><orcidid>https://orcid.org/0000-0002-0054-4820</orcidid><orcidid>https://orcid.org/0000-0002-7158-3878</orcidid><orcidid>https://orcid.org/0000-0001-5774-8755</orcidid><oa>free_for_read</oa></addata></record>
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source Wiley-Blackwell Read & Publish Collection; EZB Electronic Journals Library
subjects 1-Phosphatidylinositol 3-kinase
Adenomatous polyposis coli
Adult
Aged
Brain
Brain cancer
brain metastasis
Brain Neoplasms - genetics
Brain Neoplasms - pathology
Brain Neoplasms - secondary
Brain Neoplasms - surgery
Carcinoma, Non-Small-Cell Lung - genetics
Carcinoma, Non-Small-Cell Lung - pathology
Carcinoma, Non-Small-Cell Lung - surgery
CDK4/CCND1
CDKN2A/2B
Copy number
Correlation analysis
Cyclin D1 - genetics
Cyclin-dependent kinase 4
Cyclin-Dependent Kinase 4 - genetics
Cyclin-Dependent Kinase Inhibitor p15 - genetics
Cyclin-Dependent Kinase Inhibitor p16 - genetics
Discordance
DNA Copy Number Variations - genetics
Epidermal growth factor receptors
Female
Gene Expression Regulation, Neoplastic - genetics
Gene sequencing
Genes
genomic instability
Genomic Instability - genetics
Genomics
Health risks
Heterogeneity
High-Throughput Nucleotide Sequencing
Humans
Lung cancer
Male
Malignancy
Medical prognosis
Metastases
Metastasis
Middle Aged
Molecular modelling
Mutation
Mutation - genetics
Neoplasm Metastasis
Neoplasm Proteins - genetics
Non-small cell lung carcinoma
non–small cell lung cancer (NSCLC)
Oncology
p53 Protein
PI3K pathway
prognosis
Retrospective Studies
Risk
Signal transduction
Signaling
Small cell lung carcinoma
Therapeutic applications
Thorax
Transcriptome - genetics
Wnt protein
title Genes associated with increased brain metastasis risk in non–small cell lung cancer: Comprehensive genomic profiling of 61 resected brain metastases versus primary non–small cell lung cancer (Guangdong Association Study of Thoracic Oncology 1036)
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