Application of an integrated omics analysis for the discovery of biomarkers for osteosarcoma
To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma. Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respec...
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| Veröffentlicht in: | Zhong hua yi xue za zhi 2012-01, Vol.92 (3), p.192-196 |
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| container_issue | 3 |
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| container_title | Zhong hua yi xue za zhi |
| container_volume | 92 |
| creator | Li, Guo-dong Cai, Zheng-dong Ma, Xiao-jun Sun, Meng-xiong Li, Jian |
| description | To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma.
Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respectively. The associations of potential biomarkers from the SELDI data and microarray analysis were further inferred by Link-test to identify stable and specific diagnostic biomarkers.
A total of 653 pre-biomarkers were found in osteosarcoma cells. And six differentially expressed protein peaks with strong statistical significances were detected by SELDI-TOF-MS in the patient's serum samples. Thirteen potential biomarkers for an early diagnosis of osteosarcoma were screened by Link-test.
As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma. |
| doi_str_mv | 10.3760/cma.j.issn.0376-2491.2012.03.012 |
| format | Article |
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Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respectively. The associations of potential biomarkers from the SELDI data and microarray analysis were further inferred by Link-test to identify stable and specific diagnostic biomarkers.
A total of 653 pre-biomarkers were found in osteosarcoma cells. And six differentially expressed protein peaks with strong statistical significances were detected by SELDI-TOF-MS in the patient's serum samples. Thirteen potential biomarkers for an early diagnosis of osteosarcoma were screened by Link-test.
As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma.</description><identifier>ISSN: 0376-2491</identifier><identifier>DOI: 10.3760/cma.j.issn.0376-2491.2012.03.012</identifier><identifier>PMID: 22490743</identifier><language>chi</language><publisher>China</publisher><subject>Biomarkers, Tumor ; Bone Neoplasms - blood ; Bone Neoplasms - diagnosis ; Humans ; Oligonucleotide Array Sequence Analysis ; Osteosarcoma - blood ; Osteosarcoma - diagnosis ; Protein Array Analysis - methods ; Proteomics - methods ; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</subject><ispartof>Zhong hua yi xue za zhi, 2012-01, Vol.92 (3), p.192-196</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c188t-e2cf8c7f067ec95bb047e72da48e7bb4b060f7f0b0d14f529658139e0c68313a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22490743$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Guo-dong</creatorcontrib><creatorcontrib>Cai, Zheng-dong</creatorcontrib><creatorcontrib>Ma, Xiao-jun</creatorcontrib><creatorcontrib>Sun, Meng-xiong</creatorcontrib><creatorcontrib>Li, Jian</creatorcontrib><title>Application of an integrated omics analysis for the discovery of biomarkers for osteosarcoma</title><title>Zhong hua yi xue za zhi</title><addtitle>Zhonghua Yi Xue Za Zhi</addtitle><description>To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma.
Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respectively. The associations of potential biomarkers from the SELDI data and microarray analysis were further inferred by Link-test to identify stable and specific diagnostic biomarkers.
A total of 653 pre-biomarkers were found in osteosarcoma cells. And six differentially expressed protein peaks with strong statistical significances were detected by SELDI-TOF-MS in the patient's serum samples. Thirteen potential biomarkers for an early diagnosis of osteosarcoma were screened by Link-test.
As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma.</description><subject>Biomarkers, Tumor</subject><subject>Bone Neoplasms - blood</subject><subject>Bone Neoplasms - diagnosis</subject><subject>Humans</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Osteosarcoma - blood</subject><subject>Osteosarcoma - diagnosis</subject><subject>Protein Array Analysis - methods</subject><subject>Proteomics - methods</subject><subject>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</subject><issn>0376-2491</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kEtPwzAQhH0A0ar0LyDf4JLgRxLHx6riJVXiAjekyHY2YEjiYDtI_fe4auE02m9mV6NF6IaSnIuK3JpB5Z-5DWHMSQIZKyTNGaEsjXmSM7T85wu0DsFqUgguGWH0Ai1Y4kQUfIneNtPUW6OidSN2HVYjtmOEd68itNgN1oTEVL8PNuDOeRw_ALc2GPcDfn_Y0NYNyn-BP_ouRHBBeZPoJTrvVB9gfdIVer2_e9k-Zrvnh6ftZpcZWtcxA2a62oiOVAKMLPWhKgjWqqIGoXWhSUW6ZGvS0qIrmazKmnIJxFQ1p1zxFbo-3p28-54hxGZIDaHv1QhuDo2UXBJZSpGSV6fkrAdom8nbVH7f_D2E_wJL42dI</recordid><startdate>20120117</startdate><enddate>20120117</enddate><creator>Li, Guo-dong</creator><creator>Cai, Zheng-dong</creator><creator>Ma, Xiao-jun</creator><creator>Sun, Meng-xiong</creator><creator>Li, Jian</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope></search><sort><creationdate>20120117</creationdate><title>Application of an integrated omics analysis for the discovery of biomarkers for osteosarcoma</title><author>Li, Guo-dong ; Cai, Zheng-dong ; Ma, Xiao-jun ; Sun, Meng-xiong ; Li, Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c188t-e2cf8c7f067ec95bb047e72da48e7bb4b060f7f0b0d14f529658139e0c68313a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2012</creationdate><topic>Biomarkers, Tumor</topic><topic>Bone Neoplasms - blood</topic><topic>Bone Neoplasms - diagnosis</topic><topic>Humans</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Osteosarcoma - blood</topic><topic>Osteosarcoma - diagnosis</topic><topic>Protein Array Analysis - methods</topic><topic>Proteomics - methods</topic><topic>Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Li, Guo-dong</creatorcontrib><creatorcontrib>Cai, Zheng-dong</creatorcontrib><creatorcontrib>Ma, Xiao-jun</creatorcontrib><creatorcontrib>Sun, Meng-xiong</creatorcontrib><creatorcontrib>Li, Jian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><jtitle>Zhong hua yi xue za zhi</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Guo-dong</au><au>Cai, Zheng-dong</au><au>Ma, Xiao-jun</au><au>Sun, Meng-xiong</au><au>Li, Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of an integrated omics analysis for the discovery of biomarkers for osteosarcoma</atitle><jtitle>Zhong hua yi xue za zhi</jtitle><addtitle>Zhonghua Yi Xue Za Zhi</addtitle><date>2012-01-17</date><risdate>2012</risdate><volume>92</volume><issue>3</issue><spage>192</spage><epage>196</epage><pages>192-196</pages><issn>0376-2491</issn><abstract>To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma.
Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respectively. The associations of potential biomarkers from the SELDI data and microarray analysis were further inferred by Link-test to identify stable and specific diagnostic biomarkers.
A total of 653 pre-biomarkers were found in osteosarcoma cells. And six differentially expressed protein peaks with strong statistical significances were detected by SELDI-TOF-MS in the patient's serum samples. Thirteen potential biomarkers for an early diagnosis of osteosarcoma were screened by Link-test.
As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma.</abstract><cop>China</cop><pmid>22490743</pmid><doi>10.3760/cma.j.issn.0376-2491.2012.03.012</doi><tpages>5</tpages></addata></record> |
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| ispartof | Zhong hua yi xue za zhi, 2012-01, Vol.92 (3), p.192-196 |
| issn | 0376-2491 |
| language | chi |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
| subjects | Biomarkers, Tumor Bone Neoplasms - blood Bone Neoplasms - diagnosis Humans Oligonucleotide Array Sequence Analysis Osteosarcoma - blood Osteosarcoma - diagnosis Protein Array Analysis - methods Proteomics - methods Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods |
| title | Application of an integrated omics analysis for the discovery of biomarkers for osteosarcoma |
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