Identification of serum biomarkers for lung cancer using magnetic bead-based SELDI-TOF-MS
Aim： To identify novel serum biomarkers for lung cancer diagnosis using magnetic bead-based surface-enhanced laser desorption/ionization time-of-flight mass spectrum （SELDI-TOF-MS）. Methods： The protein fractions of 121 serum specimens from 30 lung cancer patients, 30 pulmonary tuberculosis patients...
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| Veröffentlicht in: | Acta pharmacologica Sinica 2011-12, Vol.32 (12), p.1537-1542 |
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| creator | Song, Qi-bin Hu, Wei-guo Wang, Peng Yao, Yi Zeng, Hua-zong |
| description | Aim： To identify novel serum biomarkers for lung cancer diagnosis using magnetic bead-based surface-enhanced laser desorption/ionization time-of-flight mass spectrum （SELDI-TOF-MS）. Methods： The protein fractions of 121 serum specimens from 30 lung cancer patients, 30 pulmonary tuberculosis patients and 33 healthy controls were enriched using WCX magnetic beads and subjected to SELDI-TOF-MS. The spectra were analyzed using Biomarker Wizard version 3.1.0 and Biomarker Patterns Software version 5.0. A diagnostic model was constructed with the marker proteins using a linear discrimination analysis method. The validity of this model was tested in a blind test set consisted of 8 randomly selected lung cancer patients, 10 pulmonary tuberculosis patients and 10 healthy volunteers. Results： Seventeen m/z peaks were identified, which were significantly different between the lung cancer group and the control （tuberculosis and healthy control） groups. Among these peaks, the 6445, 9725, 11705, and 15126 m/z peaks were selected by the Biomarker Pattern Software to construct a diagnostic model for lung cancer. This four-peak model established in the training set could discriminate lung cancer patients from non-cancer patients with a sensitivity of 93.3% （28/30） and a specificity of 90.5% （57/63）. The diagnostic model showed a high sensitivity （75.0%） and a high specificity （95%） in the blind test validation. Database searching and literature mining indicated that the featured 4 peaks represented chaperonin （M9725）, hemoglobin subunit beta （M15335）, serum amyloid A （Ml1548）, and an unknown protein. Conclusion： A lung cancer diagnostic model based on bead-based SELDI-TOF-MS has been established for the early diagnosis or differential diagnosis of lung cancers. |
| doi_str_mv | 10.1038/aps.2011.137 |
| format | Article |
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Methods： The protein fractions of 121 serum specimens from 30 lung cancer patients, 30 pulmonary tuberculosis patients and 33 healthy controls were enriched using WCX magnetic beads and subjected to SELDI-TOF-MS. The spectra were analyzed using Biomarker Wizard version 3.1.0 and Biomarker Patterns Software version 5.0. A diagnostic model was constructed with the marker proteins using a linear discrimination analysis method. The validity of this model was tested in a blind test set consisted of 8 randomly selected lung cancer patients, 10 pulmonary tuberculosis patients and 10 healthy volunteers. Results： Seventeen m/z peaks were identified, which were significantly different between the lung cancer group and the control （tuberculosis and healthy control） groups. Among these peaks, the 6445, 9725, 11705, and 15126 m/z peaks were selected by the Biomarker Pattern Software to construct a diagnostic model for lung cancer. This four-peak model established in the training set could discriminate lung cancer patients from non-cancer patients with a sensitivity of 93.3% （28/30） and a specificity of 90.5% （57/63）. The diagnostic model showed a high sensitivity （75.0%） and a high specificity （95%） in the blind test validation. Database searching and literature mining indicated that the featured 4 peaks represented chaperonin （M9725）, hemoglobin subunit beta （M15335）, serum amyloid A （Ml1548）, and an unknown protein. Conclusion： A lung cancer diagnostic model based on bead-based SELDI-TOF-MS has been established for the early diagnosis or differential diagnosis of lung cancers.</description><identifier>ISSN: 1671-4083</identifier><identifier>EISSN: 1745-7254</identifier><identifier>DOI: 10.1038/aps.2011.137</identifier><identifier>PMID: 22019958</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Biomarkers, Tumor - blood ; Biomedical and Life Sciences ; Biomedicine ; Humans ; Immunology ; Internal Medicine ; Lung cancer ; Lung Neoplasms - blood ; Lung Neoplasms - diagnosis ; Magnetics ; Medical Microbiology ; Original ; original-article ; Pharmacology/Toxicology ; Proteomics ; SELDI ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods ; TOF ; Vaccine ; 生物标志物 ; 磁珠 ; 肺癌 ; 血清 ; 鉴定</subject><ispartof>Acta pharmacologica Sinica, 2011-12, Vol.32 (12), p.1537-1542</ispartof><rights>CPS and SIMM 2011</rights><rights>Copyright Nature Publishing Group Dec 2011</rights><rights>Copyright © 2011 CPS and SIMM 2011 CPS and SIMM</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-8e27cddc6fd8d7751d44ccc9ea2125106bfe5ad938c532a71c014e6cf40fbc923</citedby><cites>FETCH-LOGICAL-c474t-8e27cddc6fd8d7751d44ccc9ea2125106bfe5ad938c532a71c014e6cf40fbc923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/95561A/95561A.jpg</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4010219/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4010219/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,27911,27912,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22019958$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Song, Qi-bin</creatorcontrib><creatorcontrib>Hu, Wei-guo</creatorcontrib><creatorcontrib>Wang, Peng</creatorcontrib><creatorcontrib>Yao, Yi</creatorcontrib><creatorcontrib>Zeng, Hua-zong</creatorcontrib><title>Identification of serum biomarkers for lung cancer using magnetic bead-based SELDI-TOF-MS</title><title>Acta pharmacologica Sinica</title><addtitle>Acta Pharmacol Sin</addtitle><addtitle>Acta Pharmacologica Sinica</addtitle><description>Aim： To identify novel serum biomarkers for lung cancer diagnosis using magnetic bead-based surface-enhanced laser desorption/ionization time-of-flight mass spectrum （SELDI-TOF-MS）. Methods： The protein fractions of 121 serum specimens from 30 lung cancer patients, 30 pulmonary tuberculosis patients and 33 healthy controls were enriched using WCX magnetic beads and subjected to SELDI-TOF-MS. The spectra were analyzed using Biomarker Wizard version 3.1.0 and Biomarker Patterns Software version 5.0. A diagnostic model was constructed with the marker proteins using a linear discrimination analysis method. The validity of this model was tested in a blind test set consisted of 8 randomly selected lung cancer patients, 10 pulmonary tuberculosis patients and 10 healthy volunteers. Results： Seventeen m/z peaks were identified, which were significantly different between the lung cancer group and the control （tuberculosis and healthy control） groups. Among these peaks, the 6445, 9725, 11705, and 15126 m/z peaks were selected by the Biomarker Pattern Software to construct a diagnostic model for lung cancer. This four-peak model established in the training set could discriminate lung cancer patients from non-cancer patients with a sensitivity of 93.3% （28/30） and a specificity of 90.5% （57/63）. The diagnostic model showed a high sensitivity （75.0%） and a high specificity （95%） in the blind test validation. Database searching and literature mining indicated that the featured 4 peaks represented chaperonin （M9725）, hemoglobin subunit beta （M15335）, serum amyloid A （Ml1548）, and an unknown protein. Conclusion： A lung cancer diagnostic model based on bead-based SELDI-TOF-MS has been established for the early diagnosis or differential diagnosis of lung cancers.</description><subject>Biomarkers, Tumor - blood</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Humans</subject><subject>Immunology</subject><subject>Internal Medicine</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - blood</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Magnetics</subject><subject>Medical Microbiology</subject><subject>Original</subject><subject>original-article</subject><subject>Pharmacology/Toxicology</subject><subject>Proteomics</subject><subject>SELDI</subject><subject>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</subject><subject>TOF</subject><subject>Vaccine</subject><subject>生物标志物</subject><subject>磁珠</subject><subject>肺癌</subject><subject>血清</subject><subject>鉴定</subject><issn>1671-4083</issn><issn>1745-7254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kTtvFDEUhS0EIiHQUSNDQ4MXv2Y8bpBQSGClRSkSCirL48fEYcbe2DNI_Hu82mV5SFS2db977rk-ADwneEUw697qbVlRTMiKMPEAnBLBGyRowx_WeysI4rhjJ-BJKXcYM8qIfAxOaG2QsulOwde1dXEOPhg9hxRh8rC4vEywD2nS-ZvLBfqU4bjEARodjctwKaE-Jj1ENwcDe6ct6nVxFl5fbD6s0c3VJfp8_RQ88nos7tnhPANfLi9uzj-hzdXH9fn7DTJc8Bl1jgpjrWm97awQDbGcG2Ok05TQhuC2967RVrLONIxqQQwm3LXGc-x7Iyk7A-_2utuln5w1dZ2sR7XNofr_oZIO6u9KDLdqSN8VxwRTIqvA64NATveLK7OaQjFuHHV0aSlK4k4wWX-skq_-Ie_SkmPdbgdh2hK8k3uzh0xOpWTnj1YIVrvEVE1M7RJTNbGKv_jT_hH-FVEF0B4otRQHl38P_Y_gy8P82xSH-9py1OSYNhIzwn4CPZisFg</recordid><startdate>20111201</startdate><enddate>20111201</enddate><creator>Song, Qi-bin</creator><creator>Hu, Wei-guo</creator><creator>Wang, Peng</creator><creator>Yao, Yi</creator><creator>Zeng, Hua-zong</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W91</scope><scope>~WA</scope><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>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7T5</scope><scope>7TK</scope><scope>7TO</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20111201</creationdate><title>Identification of serum biomarkers for lung cancer using magnetic bead-based SELDI-TOF-MS</title><author>Song, Qi-bin ; Hu, Wei-guo ; Wang, Peng ; Yao, Yi ; Zeng, Hua-zong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-8e27cddc6fd8d7751d44ccc9ea2125106bfe5ad938c532a71c014e6cf40fbc923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Biomarkers, Tumor - blood</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Humans</topic><topic>Immunology</topic><topic>Internal Medicine</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - blood</topic><topic>Lung Neoplasms - diagnosis</topic><topic>Magnetics</topic><topic>Medical Microbiology</topic><topic>Original</topic><topic>original-article</topic><topic>Pharmacology/Toxicology</topic><topic>Proteomics</topic><topic>SELDI</topic><topic>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</topic><topic>TOF</topic><topic>Vaccine</topic><topic>生物标志物</topic><topic>磁珠</topic><topic>肺癌</topic><topic>血清</topic><topic>鉴定</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Qi-bin</creatorcontrib><creatorcontrib>Hu, Wei-guo</creatorcontrib><creatorcontrib>Wang, Peng</creatorcontrib><creatorcontrib>Yao, Yi</creatorcontrib><creatorcontrib>Zeng, Hua-zong</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-医药卫生</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Acta pharmacologica Sinica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Qi-bin</au><au>Hu, Wei-guo</au><au>Wang, Peng</au><au>Yao, Yi</au><au>Zeng, Hua-zong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of serum biomarkers for lung cancer using magnetic bead-based SELDI-TOF-MS</atitle><jtitle>Acta pharmacologica Sinica</jtitle><stitle>Acta Pharmacol Sin</stitle><addtitle>Acta Pharmacologica Sinica</addtitle><date>2011-12-01</date><risdate>2011</risdate><volume>32</volume><issue>12</issue><spage>1537</spage><epage>1542</epage><pages>1537-1542</pages><issn>1671-4083</issn><eissn>1745-7254</eissn><abstract>Aim： To identify novel serum biomarkers for lung cancer diagnosis using magnetic bead-based surface-enhanced laser desorption/ionization time-of-flight mass spectrum （SELDI-TOF-MS）. Methods： The protein fractions of 121 serum specimens from 30 lung cancer patients, 30 pulmonary tuberculosis patients and 33 healthy controls were enriched using WCX magnetic beads and subjected to SELDI-TOF-MS. The spectra were analyzed using Biomarker Wizard version 3.1.0 and Biomarker Patterns Software version 5.0. A diagnostic model was constructed with the marker proteins using a linear discrimination analysis method. The validity of this model was tested in a blind test set consisted of 8 randomly selected lung cancer patients, 10 pulmonary tuberculosis patients and 10 healthy volunteers. Results： Seventeen m/z peaks were identified, which were significantly different between the lung cancer group and the control （tuberculosis and healthy control） groups. Among these peaks, the 6445, 9725, 11705, and 15126 m/z peaks were selected by the Biomarker Pattern Software to construct a diagnostic model for lung cancer. This four-peak model established in the training set could discriminate lung cancer patients from non-cancer patients with a sensitivity of 93.3% （28/30） and a specificity of 90.5% （57/63）. The diagnostic model showed a high sensitivity （75.0%） and a high specificity （95%） in the blind test validation. Database searching and literature mining indicated that the featured 4 peaks represented chaperonin （M9725）, hemoglobin subunit beta （M15335）, serum amyloid A （Ml1548）, and an unknown protein. Conclusion： A lung cancer diagnostic model based on bead-based SELDI-TOF-MS has been established for the early diagnosis or differential diagnosis of lung cancers.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>22019958</pmid><doi>10.1038/aps.2011.137</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Biomarkers, Tumor - blood Biomedical and Life Sciences Biomedicine Humans Immunology Internal Medicine Lung cancer Lung Neoplasms - blood Lung Neoplasms - diagnosis Magnetics Medical Microbiology Original original-article Pharmacology/Toxicology Proteomics SELDI Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods TOF Vaccine 生物标志物 磁珠 肺癌 血清 鉴定 |
| title | Identification of serum biomarkers for lung cancer using magnetic bead-based SELDI-TOF-MS |
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