Development of a serum miRNA panel for detection of early stage non-small cell lung cancer
Minimally invasive testing for early detection of lung cancer to improve patient survival is a major unmet clinical need. This study aimed to develop and validate a serum multi-microRNA (multimiR) panel as a minimally invasive test for early detection of nonsmall cell lung cancer (NSCLC) regardless...
Gespeichert in:
Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2020-10, Vol.117 (40), p.25036-25042 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 25042 |
---|---|
container_issue | 40 |
container_start_page | 25036 |
container_title | Proceedings of the National Academy of Sciences - PNAS |
container_volume | 117 |
creator | Ying, Lisha Du, Lingbin Zou, Ruiyang Shi, Lei Zhang, Nan Jin, Jiaoyue Xu, Chenyang Zhang, Fanrong Zhu, Chen Wu, Junzhou Chen, Kaiyan Huang, Minran Wu, Yingxue Zhang, Yimin Zheng, Weihui Pan, Xiaodan Chen, Baofu Lin, Aifen Tam, John Kit Chung van Dam, Rob Martinus Lai, David Tien Min Chia, Kee Seng Zhou, Lihan Too, Heng-Phon Yu, Herbert Mao, Weimin Su, Dan |
description | Minimally invasive testing for early detection of lung cancer to improve patient survival is a major unmet clinical need. This study aimed to develop and validate a serum multi-microRNA (multimiR) panel as a minimally invasive test for early detection of nonsmall cell lung cancer (NSCLC) regardless of smoking status, gender, and ethnicity. Our study included 744 NSCLC cases and 944 matched controls, including smokers and nonsmokers, male and female, with Asian and Caucasian subjects. Using RT-qPCR and a tightly controlled workflow, we quantified the absolute expression of 520 circulating microRNAs (miRNAs) in a Chinese cohort of 180 early stage NSCLC cases and 216 healthy controls (male smokers). Candidate biomarkers were verified in two case-control cohorts of 432 Chinese and 218 Caucasians, respectively (including females and nonsmokers). A multimiR panel for NSCLC detection was developed using a twofold cross-validation and validated in three additional Asian cohorts comprising 642 subjects. We discovered 35 candidate miRNA biomarkers, verified 22 of them, and developed a five-miR panel that detected NSCLC with area under curve (AUC) of 0.936–0.984 in the discovery and verification cohorts. The panel was validated in three independent cohorts with AUCs of 0.973, 0.916, and 0.917. The sensitivity of five-miR test was 81.3% for all stages, 82.9% for stages I and II, and 83.0% for stage I NSCLC, when the specificity is at 90.7%.We developed a minimally invasive five-miR serum test for detecting early stage NSCLC and validated its performance in multiple patient cohorts independent of smoking status, gender, and ethnicity. |
doi_str_mv | 10.1073/pnas.2006212117 |
format | Article |
fullrecord | <record><control><sourceid>jstor_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7547174</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26969474</jstor_id><sourcerecordid>26969474</sourcerecordid><originalsourceid>FETCH-LOGICAL-c443t-866c94e581baf71965515f7264e57c83d4aec5ca9adc7df8598e78b113b728543</originalsourceid><addsrcrecordid>eNpdkUtr3DAURkVoSSZp1lm1CLLJxokk67kphPQJoYWSbLIRGvl66sGWXMkO5N9XZtJJ240Eukcf9_AhdEbJJSWqvhqDy5eMEMkoo1QdoBUlhlaSG_IKrQhhqtKc8SN0nPOWEGKEJofoqGaG16JWK_TwAR6hj-MAYcKxxQ5nSPOAh-7Ht2s8ugA9bmPCDUzgpy6GBQKX-iecJ7cBHGKo8uD6HnsoRz-HDfYueEhv0OvW9RlOn-8TdP_p493Nl-r2--evN9e3lee8niotpTcchKZr1ypqpBBUtIrJ8qa8rhvuwAvvjGu8alotjAal15TWa8W04PUJer_LHef1AI0vJsn1dkzd4NKTja6z_05C99Nu4qNVgiuqloCL54AUf82QJzt0ebEp9nHOlvGyqCbS6IKe_4du45xC0SuUIMoQTWihrnaUTzHnBO1-GUrs0ptderMvvZUf7_522PN_iirA2x2wzVNM-zmTRhpeHH4DfoGdjw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2450790801</pqid></control><display><type>article</type><title>Development of a serum miRNA panel for detection of early stage non-small cell lung cancer</title><source>MEDLINE</source><source>JSTOR Archive Collection A-Z Listing</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Ying, Lisha ; Du, Lingbin ; Zou, Ruiyang ; Shi, Lei ; Zhang, Nan ; Jin, Jiaoyue ; Xu, Chenyang ; Zhang, Fanrong ; Zhu, Chen ; Wu, Junzhou ; Chen, Kaiyan ; Huang, Minran ; Wu, Yingxue ; Zhang, Yimin ; Zheng, Weihui ; Pan, Xiaodan ; Chen, Baofu ; Lin, Aifen ; Tam, John Kit Chung ; van Dam, Rob Martinus ; Lai, David Tien Min ; Chia, Kee Seng ; Zhou, Lihan ; Too, Heng-Phon ; Yu, Herbert ; Mao, Weimin ; Su, Dan</creator><creatorcontrib>Ying, Lisha ; Du, Lingbin ; Zou, Ruiyang ; Shi, Lei ; Zhang, Nan ; Jin, Jiaoyue ; Xu, Chenyang ; Zhang, Fanrong ; Zhu, Chen ; Wu, Junzhou ; Chen, Kaiyan ; Huang, Minran ; Wu, Yingxue ; Zhang, Yimin ; Zheng, Weihui ; Pan, Xiaodan ; Chen, Baofu ; Lin, Aifen ; Tam, John Kit Chung ; van Dam, Rob Martinus ; Lai, David Tien Min ; Chia, Kee Seng ; Zhou, Lihan ; Too, Heng-Phon ; Yu, Herbert ; Mao, Weimin ; Su, Dan</creatorcontrib><description>Minimally invasive testing for early detection of lung cancer to improve patient survival is a major unmet clinical need. This study aimed to develop and validate a serum multi-microRNA (multimiR) panel as a minimally invasive test for early detection of nonsmall cell lung cancer (NSCLC) regardless of smoking status, gender, and ethnicity. Our study included 744 NSCLC cases and 944 matched controls, including smokers and nonsmokers, male and female, with Asian and Caucasian subjects. Using RT-qPCR and a tightly controlled workflow, we quantified the absolute expression of 520 circulating microRNAs (miRNAs) in a Chinese cohort of 180 early stage NSCLC cases and 216 healthy controls (male smokers). Candidate biomarkers were verified in two case-control cohorts of 432 Chinese and 218 Caucasians, respectively (including females and nonsmokers). A multimiR panel for NSCLC detection was developed using a twofold cross-validation and validated in three additional Asian cohorts comprising 642 subjects. We discovered 35 candidate miRNA biomarkers, verified 22 of them, and developed a five-miR panel that detected NSCLC with area under curve (AUC) of 0.936–0.984 in the discovery and verification cohorts. The panel was validated in three independent cohorts with AUCs of 0.973, 0.916, and 0.917. The sensitivity of five-miR test was 81.3% for all stages, 82.9% for stages I and II, and 83.0% for stage I NSCLC, when the specificity is at 90.7%.We developed a minimally invasive five-miR serum test for detecting early stage NSCLC and validated its performance in multiple patient cohorts independent of smoking status, gender, and ethnicity.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.2006212117</identifier><identifier>PMID: 32943537</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Adult ; Aged ; Biological Sciences ; Biomarkers ; Biomarkers, Tumor - blood ; Biomarkers, Tumor - genetics ; Carcinoma, Non-Small-Cell Lung - blood ; Carcinoma, Non-Small-Cell Lung - genetics ; Carcinoma, Non-Small-Cell Lung - pathology ; Disease-Free Survival ; Early Detection of Cancer ; Ethnicity ; Female ; Gender ; Gene Expression Regulation, Neoplastic - genetics ; Humans ; Lung cancer ; Male ; MicroRNAs ; MicroRNAs - blood ; MicroRNAs - genetics ; Middle Aged ; Minority & ethnic groups ; miRNA ; Non-small cell lung carcinoma ; Ribonucleic acid ; RNA ; Sensitivity analysis ; Small cell lung carcinoma ; Smoking ; Workflow</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (40), p.25036-25042</ispartof><rights>Copyright National Academy of Sciences Oct 6, 2020</rights><rights>2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c443t-866c94e581baf71965515f7264e57c83d4aec5ca9adc7df8598e78b113b728543</citedby><cites>FETCH-LOGICAL-c443t-866c94e581baf71965515f7264e57c83d4aec5ca9adc7df8598e78b113b728543</cites><orcidid>0000-0002-3177-2762 ; 0000-0001-7446-8827 ; 0000-0002-7354-8734 ; 0000-0001-6575-1743 ; 0000-0002-0629-5570 ; 0000-0002-6269-3653 ; 0000-0003-3950-4815 ; 0000-0002-3459-6645</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26969474$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26969474$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,727,780,784,803,885,27922,27923,53789,53791,58015,58248</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32943537$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ying, Lisha</creatorcontrib><creatorcontrib>Du, Lingbin</creatorcontrib><creatorcontrib>Zou, Ruiyang</creatorcontrib><creatorcontrib>Shi, Lei</creatorcontrib><creatorcontrib>Zhang, Nan</creatorcontrib><creatorcontrib>Jin, Jiaoyue</creatorcontrib><creatorcontrib>Xu, Chenyang</creatorcontrib><creatorcontrib>Zhang, Fanrong</creatorcontrib><creatorcontrib>Zhu, Chen</creatorcontrib><creatorcontrib>Wu, Junzhou</creatorcontrib><creatorcontrib>Chen, Kaiyan</creatorcontrib><creatorcontrib>Huang, Minran</creatorcontrib><creatorcontrib>Wu, Yingxue</creatorcontrib><creatorcontrib>Zhang, Yimin</creatorcontrib><creatorcontrib>Zheng, Weihui</creatorcontrib><creatorcontrib>Pan, Xiaodan</creatorcontrib><creatorcontrib>Chen, Baofu</creatorcontrib><creatorcontrib>Lin, Aifen</creatorcontrib><creatorcontrib>Tam, John Kit Chung</creatorcontrib><creatorcontrib>van Dam, Rob Martinus</creatorcontrib><creatorcontrib>Lai, David Tien Min</creatorcontrib><creatorcontrib>Chia, Kee Seng</creatorcontrib><creatorcontrib>Zhou, Lihan</creatorcontrib><creatorcontrib>Too, Heng-Phon</creatorcontrib><creatorcontrib>Yu, Herbert</creatorcontrib><creatorcontrib>Mao, Weimin</creatorcontrib><creatorcontrib>Su, Dan</creatorcontrib><title>Development of a serum miRNA panel for detection of early stage non-small cell lung cancer</title><title>Proceedings of the National Academy of Sciences - PNAS</title><addtitle>Proc Natl Acad Sci U S A</addtitle><description>Minimally invasive testing for early detection of lung cancer to improve patient survival is a major unmet clinical need. This study aimed to develop and validate a serum multi-microRNA (multimiR) panel as a minimally invasive test for early detection of nonsmall cell lung cancer (NSCLC) regardless of smoking status, gender, and ethnicity. Our study included 744 NSCLC cases and 944 matched controls, including smokers and nonsmokers, male and female, with Asian and Caucasian subjects. Using RT-qPCR and a tightly controlled workflow, we quantified the absolute expression of 520 circulating microRNAs (miRNAs) in a Chinese cohort of 180 early stage NSCLC cases and 216 healthy controls (male smokers). Candidate biomarkers were verified in two case-control cohorts of 432 Chinese and 218 Caucasians, respectively (including females and nonsmokers). A multimiR panel for NSCLC detection was developed using a twofold cross-validation and validated in three additional Asian cohorts comprising 642 subjects. We discovered 35 candidate miRNA biomarkers, verified 22 of them, and developed a five-miR panel that detected NSCLC with area under curve (AUC) of 0.936–0.984 in the discovery and verification cohorts. The panel was validated in three independent cohorts with AUCs of 0.973, 0.916, and 0.917. The sensitivity of five-miR test was 81.3% for all stages, 82.9% for stages I and II, and 83.0% for stage I NSCLC, when the specificity is at 90.7%.We developed a minimally invasive five-miR serum test for detecting early stage NSCLC and validated its performance in multiple patient cohorts independent of smoking status, gender, and ethnicity.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - blood</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Carcinoma, Non-Small-Cell Lung - blood</subject><subject>Carcinoma, Non-Small-Cell Lung - genetics</subject><subject>Carcinoma, Non-Small-Cell Lung - pathology</subject><subject>Disease-Free Survival</subject><subject>Early Detection of Cancer</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Gender</subject><subject>Gene Expression Regulation, Neoplastic - genetics</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Male</subject><subject>MicroRNAs</subject><subject>MicroRNAs - blood</subject><subject>MicroRNAs - genetics</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>miRNA</subject><subject>Non-small cell lung carcinoma</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>Sensitivity analysis</subject><subject>Small cell lung carcinoma</subject><subject>Smoking</subject><subject>Workflow</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtr3DAURkVoSSZp1lm1CLLJxokk67kphPQJoYWSbLIRGvl66sGWXMkO5N9XZtJJ240Eukcf9_AhdEbJJSWqvhqDy5eMEMkoo1QdoBUlhlaSG_IKrQhhqtKc8SN0nPOWEGKEJofoqGaG16JWK_TwAR6hj-MAYcKxxQ5nSPOAh-7Ht2s8ugA9bmPCDUzgpy6GBQKX-iecJ7cBHGKo8uD6HnsoRz-HDfYueEhv0OvW9RlOn-8TdP_p493Nl-r2--evN9e3lee8niotpTcchKZr1ypqpBBUtIrJ8qa8rhvuwAvvjGu8alotjAal15TWa8W04PUJer_LHef1AI0vJsn1dkzd4NKTja6z_05C99Nu4qNVgiuqloCL54AUf82QJzt0ebEp9nHOlvGyqCbS6IKe_4du45xC0SuUIMoQTWihrnaUTzHnBO1-GUrs0ptderMvvZUf7_522PN_iirA2x2wzVNM-zmTRhpeHH4DfoGdjw</recordid><startdate>20201006</startdate><enddate>20201006</enddate><creator>Ying, Lisha</creator><creator>Du, Lingbin</creator><creator>Zou, Ruiyang</creator><creator>Shi, Lei</creator><creator>Zhang, Nan</creator><creator>Jin, Jiaoyue</creator><creator>Xu, Chenyang</creator><creator>Zhang, Fanrong</creator><creator>Zhu, Chen</creator><creator>Wu, Junzhou</creator><creator>Chen, Kaiyan</creator><creator>Huang, Minran</creator><creator>Wu, Yingxue</creator><creator>Zhang, Yimin</creator><creator>Zheng, Weihui</creator><creator>Pan, Xiaodan</creator><creator>Chen, Baofu</creator><creator>Lin, Aifen</creator><creator>Tam, John Kit Chung</creator><creator>van Dam, Rob Martinus</creator><creator>Lai, David Tien Min</creator><creator>Chia, Kee Seng</creator><creator>Zhou, Lihan</creator><creator>Too, Heng-Phon</creator><creator>Yu, Herbert</creator><creator>Mao, Weimin</creator><creator>Su, Dan</creator><general>National Academy of Sciences</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>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3177-2762</orcidid><orcidid>https://orcid.org/0000-0001-7446-8827</orcidid><orcidid>https://orcid.org/0000-0002-7354-8734</orcidid><orcidid>https://orcid.org/0000-0001-6575-1743</orcidid><orcidid>https://orcid.org/0000-0002-0629-5570</orcidid><orcidid>https://orcid.org/0000-0002-6269-3653</orcidid><orcidid>https://orcid.org/0000-0003-3950-4815</orcidid><orcidid>https://orcid.org/0000-0002-3459-6645</orcidid></search><sort><creationdate>20201006</creationdate><title>Development of a serum miRNA panel for detection of early stage non-small cell lung cancer</title><author>Ying, Lisha ; Du, Lingbin ; Zou, Ruiyang ; Shi, Lei ; Zhang, Nan ; Jin, Jiaoyue ; Xu, Chenyang ; Zhang, Fanrong ; Zhu, Chen ; Wu, Junzhou ; Chen, Kaiyan ; Huang, Minran ; Wu, Yingxue ; Zhang, Yimin ; Zheng, Weihui ; Pan, Xiaodan ; Chen, Baofu ; Lin, Aifen ; Tam, John Kit Chung ; van Dam, Rob Martinus ; Lai, David Tien Min ; Chia, Kee Seng ; Zhou, Lihan ; Too, Heng-Phon ; Yu, Herbert ; Mao, Weimin ; Su, Dan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-866c94e581baf71965515f7264e57c83d4aec5ca9adc7df8598e78b113b728543</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - blood</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Carcinoma, Non-Small-Cell Lung - blood</topic><topic>Carcinoma, Non-Small-Cell Lung - genetics</topic><topic>Carcinoma, Non-Small-Cell Lung - pathology</topic><topic>Disease-Free Survival</topic><topic>Early Detection of Cancer</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Gender</topic><topic>Gene Expression Regulation, Neoplastic - genetics</topic><topic>Humans</topic><topic>Lung cancer</topic><topic>Male</topic><topic>MicroRNAs</topic><topic>MicroRNAs - blood</topic><topic>MicroRNAs - genetics</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>miRNA</topic><topic>Non-small cell lung carcinoma</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>Sensitivity analysis</topic><topic>Small cell lung carcinoma</topic><topic>Smoking</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ying, Lisha</creatorcontrib><creatorcontrib>Du, Lingbin</creatorcontrib><creatorcontrib>Zou, Ruiyang</creatorcontrib><creatorcontrib>Shi, Lei</creatorcontrib><creatorcontrib>Zhang, Nan</creatorcontrib><creatorcontrib>Jin, Jiaoyue</creatorcontrib><creatorcontrib>Xu, Chenyang</creatorcontrib><creatorcontrib>Zhang, Fanrong</creatorcontrib><creatorcontrib>Zhu, Chen</creatorcontrib><creatorcontrib>Wu, Junzhou</creatorcontrib><creatorcontrib>Chen, Kaiyan</creatorcontrib><creatorcontrib>Huang, Minran</creatorcontrib><creatorcontrib>Wu, Yingxue</creatorcontrib><creatorcontrib>Zhang, Yimin</creatorcontrib><creatorcontrib>Zheng, Weihui</creatorcontrib><creatorcontrib>Pan, Xiaodan</creatorcontrib><creatorcontrib>Chen, Baofu</creatorcontrib><creatorcontrib>Lin, Aifen</creatorcontrib><creatorcontrib>Tam, John Kit Chung</creatorcontrib><creatorcontrib>van Dam, Rob Martinus</creatorcontrib><creatorcontrib>Lai, David Tien Min</creatorcontrib><creatorcontrib>Chia, Kee Seng</creatorcontrib><creatorcontrib>Zhou, Lihan</creatorcontrib><creatorcontrib>Too, Heng-Phon</creatorcontrib><creatorcontrib>Yu, Herbert</creatorcontrib><creatorcontrib>Mao, Weimin</creatorcontrib><creatorcontrib>Su, Dan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ying, Lisha</au><au>Du, Lingbin</au><au>Zou, Ruiyang</au><au>Shi, Lei</au><au>Zhang, Nan</au><au>Jin, Jiaoyue</au><au>Xu, Chenyang</au><au>Zhang, Fanrong</au><au>Zhu, Chen</au><au>Wu, Junzhou</au><au>Chen, Kaiyan</au><au>Huang, Minran</au><au>Wu, Yingxue</au><au>Zhang, Yimin</au><au>Zheng, Weihui</au><au>Pan, Xiaodan</au><au>Chen, Baofu</au><au>Lin, Aifen</au><au>Tam, John Kit Chung</au><au>van Dam, Rob Martinus</au><au>Lai, David Tien Min</au><au>Chia, Kee Seng</au><au>Zhou, Lihan</au><au>Too, Heng-Phon</au><au>Yu, Herbert</au><au>Mao, Weimin</au><au>Su, Dan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a serum miRNA panel for detection of early stage non-small cell lung cancer</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2020-10-06</date><risdate>2020</risdate><volume>117</volume><issue>40</issue><spage>25036</spage><epage>25042</epage><pages>25036-25042</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>Minimally invasive testing for early detection of lung cancer to improve patient survival is a major unmet clinical need. This study aimed to develop and validate a serum multi-microRNA (multimiR) panel as a minimally invasive test for early detection of nonsmall cell lung cancer (NSCLC) regardless of smoking status, gender, and ethnicity. Our study included 744 NSCLC cases and 944 matched controls, including smokers and nonsmokers, male and female, with Asian and Caucasian subjects. Using RT-qPCR and a tightly controlled workflow, we quantified the absolute expression of 520 circulating microRNAs (miRNAs) in a Chinese cohort of 180 early stage NSCLC cases and 216 healthy controls (male smokers). Candidate biomarkers were verified in two case-control cohorts of 432 Chinese and 218 Caucasians, respectively (including females and nonsmokers). A multimiR panel for NSCLC detection was developed using a twofold cross-validation and validated in three additional Asian cohorts comprising 642 subjects. We discovered 35 candidate miRNA biomarkers, verified 22 of them, and developed a five-miR panel that detected NSCLC with area under curve (AUC) of 0.936–0.984 in the discovery and verification cohorts. The panel was validated in three independent cohorts with AUCs of 0.973, 0.916, and 0.917. The sensitivity of five-miR test was 81.3% for all stages, 82.9% for stages I and II, and 83.0% for stage I NSCLC, when the specificity is at 90.7%.We developed a minimally invasive five-miR serum test for detecting early stage NSCLC and validated its performance in multiple patient cohorts independent of smoking status, gender, and ethnicity.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>32943537</pmid><doi>10.1073/pnas.2006212117</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-3177-2762</orcidid><orcidid>https://orcid.org/0000-0001-7446-8827</orcidid><orcidid>https://orcid.org/0000-0002-7354-8734</orcidid><orcidid>https://orcid.org/0000-0001-6575-1743</orcidid><orcidid>https://orcid.org/0000-0002-0629-5570</orcidid><orcidid>https://orcid.org/0000-0002-6269-3653</orcidid><orcidid>https://orcid.org/0000-0003-3950-4815</orcidid><orcidid>https://orcid.org/0000-0002-3459-6645</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0027-8424 |
ispartof | Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (40), p.25036-25042 |
issn | 0027-8424 1091-6490 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7547174 |
source | MEDLINE; JSTOR Archive Collection A-Z Listing; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
subjects | Adult Aged Biological Sciences Biomarkers Biomarkers, Tumor - blood Biomarkers, Tumor - genetics Carcinoma, Non-Small-Cell Lung - blood Carcinoma, Non-Small-Cell Lung - genetics Carcinoma, Non-Small-Cell Lung - pathology Disease-Free Survival Early Detection of Cancer Ethnicity Female Gender Gene Expression Regulation, Neoplastic - genetics Humans Lung cancer Male MicroRNAs MicroRNAs - blood MicroRNAs - genetics Middle Aged Minority & ethnic groups miRNA Non-small cell lung carcinoma Ribonucleic acid RNA Sensitivity analysis Small cell lung carcinoma Smoking Workflow |
title | Development of a serum miRNA panel for detection of early stage non-small cell lung cancer |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T15%3A04%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20a%20serum%20miRNA%20panel%20for%20detection%20of%20early%20stage%20non-small%20cell%20lung%20cancer&rft.jtitle=Proceedings%20of%20the%20National%20Academy%20of%20Sciences%20-%20PNAS&rft.au=Ying,%20Lisha&rft.date=2020-10-06&rft.volume=117&rft.issue=40&rft.spage=25036&rft.epage=25042&rft.pages=25036-25042&rft.issn=0027-8424&rft.eissn=1091-6490&rft_id=info:doi/10.1073/pnas.2006212117&rft_dat=%3Cjstor_pubme%3E26969474%3C/jstor_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2450790801&rft_id=info:pmid/32943537&rft_jstor_id=26969474&rfr_iscdi=true |