Gene profiling in white blood cells predicts infliximab responsiveness in rheumatoid arthritis
As indicators of responsiveness to a tumour necrosis factor (TNF)alpha blocking agent (infliximab) are lacking in rheumatoid arthritis, we have used gene profiling in peripheral blood mononuclear cells to predict a good versus poor response to infliximab. Thirty three patients with very active disea...
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creator | Lequerré, Thierry Gauthier-Jauneau, Anne-Christine Bansard, Carine Derambure, Céline Hiron, Martine Vittecoq, Olivier Daveau, Maryvonne Mejjad, Othmane Daragon, Alain Tron, François Le Loët, Xavier Salier, Jean-Philippe |
description | As indicators of responsiveness to a tumour necrosis factor (TNF)alpha blocking agent (infliximab) are lacking in rheumatoid arthritis, we have used gene profiling in peripheral blood mononuclear cells to predict a good versus poor response to infliximab. Thirty three patients with very active disease (Disease Activity Score 28 >5.1) that resisted weekly methotrexate therapy were given infliximab at baseline, weeks 2 and 6, and every 8th week thereafter. The patients were categorized as responders if a change of Disease Activity Score 28 = 1.2 was obtained at 3 months. Mononuclear cell RNAs were collected at baseline and at three months from responders and non-responders. The baseline RNAs were hybridised to a microarray of 10,000 non-redundant human cDNAs. In 6 responders and 7 non-responders, 41 mRNAs identified by microarray analysis were expressed as a function of the response to treatment and an unsupervised hierarchical clustering perfectly separated these responders from non-responders. The informativeness of 20 of these 41 transcripts, as measured by qRT-PCR, was re-assessed in 20 other patients. The combined levels of these 20 transcripts properly classified 16 out of 20 patients in a leave-one-out procedure, with a sensitivity of 90% and a specificity of 70%, whereas a set of only 8 transcripts properly classified 18/20 patients. Trends for changes in various transcript levels at three months tightly correlated with treatment responsiveness and a down-regulation of specific transcript levels was observed in non-responders only. Our gene profiling obtained by a non-invasive procedure should now be used to predict the likely responders to an infliximab/methotrexate combination. |
doi_str_mv | 10.1186/ar1990 |
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Thirty three patients with very active disease (Disease Activity Score 28 >5.1) that resisted weekly methotrexate therapy were given infliximab at baseline, weeks 2 and 6, and every 8th week thereafter. The patients were categorized as responders if a change of Disease Activity Score 28 = 1.2 was obtained at 3 months. Mononuclear cell RNAs were collected at baseline and at three months from responders and non-responders. The baseline RNAs were hybridised to a microarray of 10,000 non-redundant human cDNAs. In 6 responders and 7 non-responders, 41 mRNAs identified by microarray analysis were expressed as a function of the response to treatment and an unsupervised hierarchical clustering perfectly separated these responders from non-responders. The informativeness of 20 of these 41 transcripts, as measured by qRT-PCR, was re-assessed in 20 other patients. The combined levels of these 20 transcripts properly classified 16 out of 20 patients in a leave-one-out procedure, with a sensitivity of 90% and a specificity of 70%, whereas a set of only 8 transcripts properly classified 18/20 patients. Trends for changes in various transcript levels at three months tightly correlated with treatment responsiveness and a down-regulation of specific transcript levels was observed in non-responders only. Our gene profiling obtained by a non-invasive procedure should now be used to predict the likely responders to an infliximab/methotrexate combination.</description><identifier>ISSN: 1478-6354</identifier><identifier>EISSN: 1478-6362</identifier><identifier>EISSN: 1478-6354</identifier><identifier>DOI: 10.1186/ar1990</identifier><identifier>PMID: 16817978</identifier><language>eng</language><publisher>England: National Library of Medicine - MEDLINE Abstracts</publisher><subject>Adult ; Aged ; Antibodies, Monoclonal - therapeutic use ; Antirheumatic Agents - therapeutic use ; Arthritis, Rheumatoid - blood ; Arthritis, Rheumatoid - drug therapy ; Biochemistry, Molecular Biology ; Female ; Follow-Up Studies ; Gene Expression Profiling ; Genomics ; Humans ; Infliximab ; Life Sciences ; Male ; Middle Aged ; Monocytes - metabolism ; Oligonucleotide Array Sequence Analysis ; Predictive Value of Tests ; RNA, Messenger - blood ; Time Factors ; Treatment Outcome ; Tumor Necrosis Factor-alpha - antagonists & inhibitors</subject><ispartof>Arthritis research & therapy, 2006-01, Vol.8 (4), p.R105-R105, Article R105</ispartof><rights>Copyright National Library of Medicine - MEDLINE Abstracts 2006</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright © 2006 Lequerré et al.; licensee BioMed Central Ltd. 2006 Lequerré et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b541t-eb8b33c40abd8421d89a0925c8f3a69624d3950aad7b727fafabf083f7141c2c3</citedby><cites>FETCH-LOGICAL-b541t-eb8b33c40abd8421d89a0925c8f3a69624d3950aad7b727fafabf083f7141c2c3</cites><orcidid>0000-0002-6722-5955</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779405/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779405/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16817978$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02329583$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lequerré, Thierry</creatorcontrib><creatorcontrib>Gauthier-Jauneau, Anne-Christine</creatorcontrib><creatorcontrib>Bansard, Carine</creatorcontrib><creatorcontrib>Derambure, Céline</creatorcontrib><creatorcontrib>Hiron, Martine</creatorcontrib><creatorcontrib>Vittecoq, Olivier</creatorcontrib><creatorcontrib>Daveau, Maryvonne</creatorcontrib><creatorcontrib>Mejjad, Othmane</creatorcontrib><creatorcontrib>Daragon, Alain</creatorcontrib><creatorcontrib>Tron, François</creatorcontrib><creatorcontrib>Le Loët, Xavier</creatorcontrib><creatorcontrib>Salier, Jean-Philippe</creatorcontrib><title>Gene profiling in white blood cells predicts infliximab responsiveness in rheumatoid arthritis</title><title>Arthritis research & therapy</title><addtitle>Arthritis Res Ther</addtitle><description>As indicators of responsiveness to a tumour necrosis factor (TNF)alpha blocking agent (infliximab) are lacking in rheumatoid arthritis, we have used gene profiling in peripheral blood mononuclear cells to predict a good versus poor response to infliximab. Thirty three patients with very active disease (Disease Activity Score 28 >5.1) that resisted weekly methotrexate therapy were given infliximab at baseline, weeks 2 and 6, and every 8th week thereafter. The patients were categorized as responders if a change of Disease Activity Score 28 = 1.2 was obtained at 3 months. Mononuclear cell RNAs were collected at baseline and at three months from responders and non-responders. The baseline RNAs were hybridised to a microarray of 10,000 non-redundant human cDNAs. In 6 responders and 7 non-responders, 41 mRNAs identified by microarray analysis were expressed as a function of the response to treatment and an unsupervised hierarchical clustering perfectly separated these responders from non-responders. The informativeness of 20 of these 41 transcripts, as measured by qRT-PCR, was re-assessed in 20 other patients. The combined levels of these 20 transcripts properly classified 16 out of 20 patients in a leave-one-out procedure, with a sensitivity of 90% and a specificity of 70%, whereas a set of only 8 transcripts properly classified 18/20 patients. Trends for changes in various transcript levels at three months tightly correlated with treatment responsiveness and a down-regulation of specific transcript levels was observed in non-responders only. Our gene profiling obtained by a non-invasive procedure should now be used to predict the likely responders to an infliximab/methotrexate combination.</description><subject>Adult</subject><subject>Aged</subject><subject>Antibodies, Monoclonal - therapeutic use</subject><subject>Antirheumatic Agents - therapeutic use</subject><subject>Arthritis, Rheumatoid - blood</subject><subject>Arthritis, Rheumatoid - drug therapy</subject><subject>Biochemistry, Molecular Biology</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gene Expression Profiling</subject><subject>Genomics</subject><subject>Humans</subject><subject>Infliximab</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Monocytes - metabolism</subject><subject>Oligonucleotide Array Sequence Analysis</subject><subject>Predictive Value of Tests</subject><subject>RNA, Messenger - blood</subject><subject>Time Factors</subject><subject>Treatment Outcome</subject><subject>Tumor Necrosis Factor-alpha - antagonists & inhibitors</subject><issn>1478-6354</issn><issn>1478-6362</issn><issn>1478-6354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1UstqIzEQFGGX2JvHJ4RhD4E9eFevGUmXhRDyAkMu2WuEpJEyMjMjrzTjJH8fGZs4MeSkRlVdXVQ3AKcI_kaIV39URELAAzBFlPFZRSr87b0u6QT8SGkBIcYC00MwQRVHTDA-BY83trfFMgbnW98_Fb4vnhs_2EK3IdSFsW2bMmxrb4aUUdf6F98pXUSblqFPfpX70xopYmPHTg3B14WKQxP94NMx-O5Um-zJ9j0C_66vHi5vZ_P7m7vLi_lMlxQNM6u5JsRQqHTNKUY1FwoKXBruiKpEhWlNRAmVqplmmDnllHaQE8cQRQYbcgT-bnSXo-5sbWw_RNXKZcxe46sMysvPSO8b-RRWEjEmKCyzwK-NQLPXdnsxl-s_iAkWJScrlLliw9U-fDHsM2JCJzcLyr3nW6Mx_B9tGmTn0zpl1dswJlnxvCIMRSb-3CMuwhj7HKLEiFFBBUc7NRNDStG6dxMIyvVd7MaefcxnR9seAnkDvi62OQ</recordid><startdate>20060101</startdate><enddate>20060101</enddate><creator>Lequerré, Thierry</creator><creator>Gauthier-Jauneau, Anne-Christine</creator><creator>Bansard, Carine</creator><creator>Derambure, Céline</creator><creator>Hiron, Martine</creator><creator>Vittecoq, Olivier</creator><creator>Daveau, Maryvonne</creator><creator>Mejjad, Othmane</creator><creator>Daragon, Alain</creator><creator>Tron, François</creator><creator>Le Loët, Xavier</creator><creator>Salier, Jean-Philippe</creator><general>National Library of Medicine - MEDLINE Abstracts</general><general>BioMed Central Ltd</general><general>BioMed Central</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>K9.</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6722-5955</orcidid></search><sort><creationdate>20060101</creationdate><title>Gene profiling in white blood cells predicts infliximab responsiveness in rheumatoid arthritis</title><author>Lequerré, Thierry ; Gauthier-Jauneau, Anne-Christine ; Bansard, Carine ; Derambure, Céline ; Hiron, Martine ; Vittecoq, Olivier ; Daveau, Maryvonne ; Mejjad, Othmane ; Daragon, Alain ; Tron, François ; Le Loët, Xavier ; Salier, Jean-Philippe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b541t-eb8b33c40abd8421d89a0925c8f3a69624d3950aad7b727fafabf083f7141c2c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Antibodies, Monoclonal - therapeutic use</topic><topic>Antirheumatic Agents - therapeutic use</topic><topic>Arthritis, Rheumatoid - blood</topic><topic>Arthritis, Rheumatoid - drug therapy</topic><topic>Biochemistry, Molecular Biology</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gene Expression Profiling</topic><topic>Genomics</topic><topic>Humans</topic><topic>Infliximab</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Monocytes - metabolism</topic><topic>Oligonucleotide Array Sequence Analysis</topic><topic>Predictive Value of Tests</topic><topic>RNA, Messenger - blood</topic><topic>Time Factors</topic><topic>Treatment Outcome</topic><topic>Tumor Necrosis Factor-alpha - antagonists & inhibitors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lequerré, Thierry</creatorcontrib><creatorcontrib>Gauthier-Jauneau, Anne-Christine</creatorcontrib><creatorcontrib>Bansard, Carine</creatorcontrib><creatorcontrib>Derambure, Céline</creatorcontrib><creatorcontrib>Hiron, Martine</creatorcontrib><creatorcontrib>Vittecoq, Olivier</creatorcontrib><creatorcontrib>Daveau, Maryvonne</creatorcontrib><creatorcontrib>Mejjad, Othmane</creatorcontrib><creatorcontrib>Daragon, Alain</creatorcontrib><creatorcontrib>Tron, François</creatorcontrib><creatorcontrib>Le Loët, Xavier</creatorcontrib><creatorcontrib>Salier, Jean-Philippe</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Arthritis research & therapy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lequerré, Thierry</au><au>Gauthier-Jauneau, Anne-Christine</au><au>Bansard, Carine</au><au>Derambure, Céline</au><au>Hiron, Martine</au><au>Vittecoq, Olivier</au><au>Daveau, Maryvonne</au><au>Mejjad, Othmane</au><au>Daragon, Alain</au><au>Tron, François</au><au>Le Loët, Xavier</au><au>Salier, Jean-Philippe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene profiling in white blood cells predicts infliximab responsiveness in rheumatoid arthritis</atitle><jtitle>Arthritis research & therapy</jtitle><addtitle>Arthritis Res Ther</addtitle><date>2006-01-01</date><risdate>2006</risdate><volume>8</volume><issue>4</issue><spage>R105</spage><epage>R105</epage><pages>R105-R105</pages><artnum>R105</artnum><issn>1478-6354</issn><eissn>1478-6362</eissn><eissn>1478-6354</eissn><abstract>As indicators of responsiveness to a tumour necrosis factor (TNF)alpha blocking agent (infliximab) are lacking in rheumatoid arthritis, we have used gene profiling in peripheral blood mononuclear cells to predict a good versus poor response to infliximab. Thirty three patients with very active disease (Disease Activity Score 28 >5.1) that resisted weekly methotrexate therapy were given infliximab at baseline, weeks 2 and 6, and every 8th week thereafter. The patients were categorized as responders if a change of Disease Activity Score 28 = 1.2 was obtained at 3 months. Mononuclear cell RNAs were collected at baseline and at three months from responders and non-responders. The baseline RNAs were hybridised to a microarray of 10,000 non-redundant human cDNAs. In 6 responders and 7 non-responders, 41 mRNAs identified by microarray analysis were expressed as a function of the response to treatment and an unsupervised hierarchical clustering perfectly separated these responders from non-responders. The informativeness of 20 of these 41 transcripts, as measured by qRT-PCR, was re-assessed in 20 other patients. The combined levels of these 20 transcripts properly classified 16 out of 20 patients in a leave-one-out procedure, with a sensitivity of 90% and a specificity of 70%, whereas a set of only 8 transcripts properly classified 18/20 patients. Trends for changes in various transcript levels at three months tightly correlated with treatment responsiveness and a down-regulation of specific transcript levels was observed in non-responders only. Our gene profiling obtained by a non-invasive procedure should now be used to predict the likely responders to an infliximab/methotrexate combination.</abstract><cop>England</cop><pub>National Library of Medicine - MEDLINE Abstracts</pub><pmid>16817978</pmid><doi>10.1186/ar1990</doi><orcidid>https://orcid.org/0000-0002-6722-5955</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Antibodies, Monoclonal - therapeutic use Antirheumatic Agents - therapeutic use Arthritis, Rheumatoid - blood Arthritis, Rheumatoid - drug therapy Biochemistry, Molecular Biology Female Follow-Up Studies Gene Expression Profiling Genomics Humans Infliximab Life Sciences Male Middle Aged Monocytes - metabolism Oligonucleotide Array Sequence Analysis Predictive Value of Tests RNA, Messenger - blood Time Factors Treatment Outcome Tumor Necrosis Factor-alpha - antagonists & inhibitors |
title | Gene profiling in white blood cells predicts infliximab responsiveness in rheumatoid arthritis |
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