Multiple human papillomavirus genotype infections in cervical cancer progression in the study to understand cervical cancer early endpoints and determinants
Determining the causal attribution of human papillomavirus (HPV) genotypes to cervical disease is important to estimate the effect of HPV vaccination and to establish a type spectrum for HPV‐based screening. We analyzed the prevalence of HPV infections and their attribution to cervical disease in a...
Gespeichert in:
| Veröffentlicht in: | International journal of cancer 2009-11, Vol.125 (9), p.2151-2158 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2158 |
|---|---|
| container_issue | 9 |
| container_start_page | 2151 |
| container_title | International journal of cancer |
| container_volume | 125 |
| creator | Wentzensen, Nicolas Schiffman, Mark Dunn, Terence Zuna, Rosemary E. Gold, Michael A. Allen, Richard A. Zhang, Roy Sherman, Mark E. Wacholder, Sholom Walker, Joan Wang, Sophia S. |
| description | Determining the causal attribution of human papillomavirus (HPV) genotypes to cervical disease is important to estimate the effect of HPV vaccination and to establish a type spectrum for HPV‐based screening. We analyzed the prevalence of HPV infections and their attribution to cervical disease in a population of 1,670 women referred to colposcopy for abnormal cytology at the University of Oklahoma. HPV genotyping was performed from cytology specimens using the Linear Array assay that detects 37 HPV genotypes. We used different methods of type attribution to revised cervical disease categories. We found very high prevalence of multiple HPV infections with up to 14 genotypes detected in single specimens. In all disease categories except for cancers, there was a significant trend of having more infections at a younger age. We did not see type interactions in multiple genotype infections. HPV16 was the most frequent genotype at all disease categories. Based on different attribution strategies, the attribution of vaccine genotypes (6, 11, 16, 18) ranged from 50.5 to 67.3% in cancers (n = 107), from 25.6 to 74.8% in CIN3 (n = 305), from 15.2 to 52.2% in CIN2 (n = 427), and from 6.6 to 26.0% in |
| doi_str_mv | 10.1002/ijc.24528 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_746013541</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>67632672</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4568-9dfd73790d99b864f67449ea43f97544dd48650b031bbf611474dfbce413283b3</originalsourceid><addsrcrecordid>eNp9kc1u1DAUhS0EotOBBS-AvAKxSGvHf8kSjQq0atUNrCPHvmldOU6wnVZ5Fx62HmYkFghW9-ie7x7p6iD0jpIzSkh97h7MWc1F3bxAG0paVZGaipdoUzxSKcrkCTpN6YEQSgXhr9EJbUUjeMs36NfN4rObPeD7ZdQBz3p23k-jfnRxSfgOwpTXGbALA5jsppCKxAbiozPaY6ND0XiO012ElIq_t_M94JQXu-I84SVYiCnrYP86Ax39iiHYeXIhJ7xnLGSIowu6LN6gV4P2Cd4e5xb9-HLxffetur79ern7fF0ZLmRTtXawiqmW2LbtG8kHqThvQXM2tEpwbi1vpCA9YbTvB0kpV9wOvQFOWd2wnm3Rx0Nu-ePnAil3o0sGvNcBpiV1iktCmSj4Fn34LymVZLVUdQE_HUATp5QiDN0c3ajj2lHS7UvrSmnd79IK-_4YuvQj2D_ksaUCnB-AJ-dh_XdSd3m1O0Q-AyJ6pK0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>67632672</pqid></control><display><type>article</type><title>Multiple human papillomavirus genotype infections in cervical cancer progression in the study to understand cervical cancer early endpoints and determinants</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Wentzensen, Nicolas ; Schiffman, Mark ; Dunn, Terence ; Zuna, Rosemary E. ; Gold, Michael A. ; Allen, Richard A. ; Zhang, Roy ; Sherman, Mark E. ; Wacholder, Sholom ; Walker, Joan ; Wang, Sophia S.</creator><creatorcontrib>Wentzensen, Nicolas ; Schiffman, Mark ; Dunn, Terence ; Zuna, Rosemary E. ; Gold, Michael A. ; Allen, Richard A. ; Zhang, Roy ; Sherman, Mark E. ; Wacholder, Sholom ; Walker, Joan ; Wang, Sophia S.</creatorcontrib><description>Determining the causal attribution of human papillomavirus (HPV) genotypes to cervical disease is important to estimate the effect of HPV vaccination and to establish a type spectrum for HPV‐based screening. We analyzed the prevalence of HPV infections and their attribution to cervical disease in a population of 1,670 women referred to colposcopy for abnormal cytology at the University of Oklahoma. HPV genotyping was performed from cytology specimens using the Linear Array assay that detects 37 HPV genotypes. We used different methods of type attribution to revised cervical disease categories. We found very high prevalence of multiple HPV infections with up to 14 genotypes detected in single specimens. In all disease categories except for cancers, there was a significant trend of having more infections at a younger age. We did not see type interactions in multiple genotype infections. HPV16 was the most frequent genotype at all disease categories. Based on different attribution strategies, the attribution of vaccine genotypes (6, 11, 16, 18) ranged from 50.5 to 67.3% in cancers (n = 107), from 25.6 to 74.8% in CIN3 (n = 305), from 15.2 to 52.2% in CIN2 (n = 427), and from 6.6 to 26.0% in <CIN2 (n = 708). In the HSIL cytology group (n = 651), attribution ranged from 26.1 to 64.7%. The attribution of vaccine types to HSIL was substantially higher compared to the lower cytology categories. The potential range of HPV genotype attribution is wide at the disease categories <CIN2 to CIN3. Genotyping from cervical lesions and analyzing viral oncogene expression can improve estimates of HPV genotype attribution. © 2009 UICC</description><identifier>ISSN: 0020-7136</identifier><identifier>EISSN: 1097-0215</identifier><identifier>DOI: 10.1002/ijc.24528</identifier><identifier>PMID: 19585494</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Adolescent ; Adult ; Age Factors ; Aged ; Aged, 80 and over ; cervical cancer ; Cervical Intraepithelial Neoplasia - etiology ; Cervical Intraepithelial Neoplasia - virology ; Cervix Uteri - virology ; Disease Progression ; epidemiology ; Female ; Genotype ; HPV ; Human papillomavirus ; Human papillomavirus 16 ; Humans ; Middle Aged ; molecular ; Papillomaviridae - classification ; Papillomaviridae - genetics ; Papillomavirus Infections - complications ; Papillomavirus Infections - epidemiology ; Papillomavirus Infections - virology ; Papillomavirus Vaccines - immunology ; SUCCEED ; Uterine Cervical Neoplasms - etiology ; Uterine Cervical Neoplasms - virology</subject><ispartof>International journal of cancer, 2009-11, Vol.125 (9), p.2151-2158</ispartof><rights>Copyright © 2009 UICC</rights><rights>(c) 2009 UICC.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4568-9dfd73790d99b864f67449ea43f97544dd48650b031bbf611474dfbce413283b3</citedby><cites>FETCH-LOGICAL-c4568-9dfd73790d99b864f67449ea43f97544dd48650b031bbf611474dfbce413283b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fijc.24528$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fijc.24528$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19585494$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wentzensen, Nicolas</creatorcontrib><creatorcontrib>Schiffman, Mark</creatorcontrib><creatorcontrib>Dunn, Terence</creatorcontrib><creatorcontrib>Zuna, Rosemary E.</creatorcontrib><creatorcontrib>Gold, Michael A.</creatorcontrib><creatorcontrib>Allen, Richard A.</creatorcontrib><creatorcontrib>Zhang, Roy</creatorcontrib><creatorcontrib>Sherman, Mark E.</creatorcontrib><creatorcontrib>Wacholder, Sholom</creatorcontrib><creatorcontrib>Walker, Joan</creatorcontrib><creatorcontrib>Wang, Sophia S.</creatorcontrib><title>Multiple human papillomavirus genotype infections in cervical cancer progression in the study to understand cervical cancer early endpoints and determinants</title><title>International journal of cancer</title><addtitle>Int J Cancer</addtitle><description>Determining the causal attribution of human papillomavirus (HPV) genotypes to cervical disease is important to estimate the effect of HPV vaccination and to establish a type spectrum for HPV‐based screening. We analyzed the prevalence of HPV infections and their attribution to cervical disease in a population of 1,670 women referred to colposcopy for abnormal cytology at the University of Oklahoma. HPV genotyping was performed from cytology specimens using the Linear Array assay that detects 37 HPV genotypes. We used different methods of type attribution to revised cervical disease categories. We found very high prevalence of multiple HPV infections with up to 14 genotypes detected in single specimens. In all disease categories except for cancers, there was a significant trend of having more infections at a younger age. We did not see type interactions in multiple genotype infections. HPV16 was the most frequent genotype at all disease categories. Based on different attribution strategies, the attribution of vaccine genotypes (6, 11, 16, 18) ranged from 50.5 to 67.3% in cancers (n = 107), from 25.6 to 74.8% in CIN3 (n = 305), from 15.2 to 52.2% in CIN2 (n = 427), and from 6.6 to 26.0% in <CIN2 (n = 708). In the HSIL cytology group (n = 651), attribution ranged from 26.1 to 64.7%. The attribution of vaccine types to HSIL was substantially higher compared to the lower cytology categories. The potential range of HPV genotype attribution is wide at the disease categories <CIN2 to CIN3. Genotyping from cervical lesions and analyzing viral oncogene expression can improve estimates of HPV genotype attribution. © 2009 UICC</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>cervical cancer</subject><subject>Cervical Intraepithelial Neoplasia - etiology</subject><subject>Cervical Intraepithelial Neoplasia - virology</subject><subject>Cervix Uteri - virology</subject><subject>Disease Progression</subject><subject>epidemiology</subject><subject>Female</subject><subject>Genotype</subject><subject>HPV</subject><subject>Human papillomavirus</subject><subject>Human papillomavirus 16</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>molecular</subject><subject>Papillomaviridae - classification</subject><subject>Papillomaviridae - genetics</subject><subject>Papillomavirus Infections - complications</subject><subject>Papillomavirus Infections - epidemiology</subject><subject>Papillomavirus Infections - virology</subject><subject>Papillomavirus Vaccines - immunology</subject><subject>SUCCEED</subject><subject>Uterine Cervical Neoplasms - etiology</subject><subject>Uterine Cervical Neoplasms - virology</subject><issn>0020-7136</issn><issn>1097-0215</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1DAUhS0EotOBBS-AvAKxSGvHf8kSjQq0atUNrCPHvmldOU6wnVZ5Fx62HmYkFghW9-ie7x7p6iD0jpIzSkh97h7MWc1F3bxAG0paVZGaipdoUzxSKcrkCTpN6YEQSgXhr9EJbUUjeMs36NfN4rObPeD7ZdQBz3p23k-jfnRxSfgOwpTXGbALA5jsppCKxAbiozPaY6ND0XiO012ElIq_t_M94JQXu-I84SVYiCnrYP86Ax39iiHYeXIhJ7xnLGSIowu6LN6gV4P2Cd4e5xb9-HLxffetur79ern7fF0ZLmRTtXawiqmW2LbtG8kHqThvQXM2tEpwbi1vpCA9YbTvB0kpV9wOvQFOWd2wnm3Rx0Nu-ePnAil3o0sGvNcBpiV1iktCmSj4Fn34LymVZLVUdQE_HUATp5QiDN0c3ajj2lHS7UvrSmnd79IK-_4YuvQj2D_ksaUCnB-AJ-dh_XdSd3m1O0Q-AyJ6pK0</recordid><startdate>20091101</startdate><enddate>20091101</enddate><creator>Wentzensen, Nicolas</creator><creator>Schiffman, Mark</creator><creator>Dunn, Terence</creator><creator>Zuna, Rosemary E.</creator><creator>Gold, Michael A.</creator><creator>Allen, Richard A.</creator><creator>Zhang, Roy</creator><creator>Sherman, Mark E.</creator><creator>Wacholder, Sholom</creator><creator>Walker, Joan</creator><creator>Wang, Sophia S.</creator><general>Wiley Subscription Services, Inc., A Wiley Company</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>7X8</scope><scope>7TO</scope><scope>7U9</scope><scope>H94</scope></search><sort><creationdate>20091101</creationdate><title>Multiple human papillomavirus genotype infections in cervical cancer progression in the study to understand cervical cancer early endpoints and determinants</title><author>Wentzensen, Nicolas ; Schiffman, Mark ; Dunn, Terence ; Zuna, Rosemary E. ; Gold, Michael A. ; Allen, Richard A. ; Zhang, Roy ; Sherman, Mark E. ; Wacholder, Sholom ; Walker, Joan ; Wang, Sophia S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4568-9dfd73790d99b864f67449ea43f97544dd48650b031bbf611474dfbce413283b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>cervical cancer</topic><topic>Cervical Intraepithelial Neoplasia - etiology</topic><topic>Cervical Intraepithelial Neoplasia - virology</topic><topic>Cervix Uteri - virology</topic><topic>Disease Progression</topic><topic>epidemiology</topic><topic>Female</topic><topic>Genotype</topic><topic>HPV</topic><topic>Human papillomavirus</topic><topic>Human papillomavirus 16</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>molecular</topic><topic>Papillomaviridae - classification</topic><topic>Papillomaviridae - genetics</topic><topic>Papillomavirus Infections - complications</topic><topic>Papillomavirus Infections - epidemiology</topic><topic>Papillomavirus Infections - virology</topic><topic>Papillomavirus Vaccines - immunology</topic><topic>SUCCEED</topic><topic>Uterine Cervical Neoplasms - etiology</topic><topic>Uterine Cervical Neoplasms - virology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wentzensen, Nicolas</creatorcontrib><creatorcontrib>Schiffman, Mark</creatorcontrib><creatorcontrib>Dunn, Terence</creatorcontrib><creatorcontrib>Zuna, Rosemary E.</creatorcontrib><creatorcontrib>Gold, Michael A.</creatorcontrib><creatorcontrib>Allen, Richard A.</creatorcontrib><creatorcontrib>Zhang, Roy</creatorcontrib><creatorcontrib>Sherman, Mark E.</creatorcontrib><creatorcontrib>Wacholder, Sholom</creatorcontrib><creatorcontrib>Walker, Joan</creatorcontrib><creatorcontrib>Wang, Sophia S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>International journal of cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wentzensen, Nicolas</au><au>Schiffman, Mark</au><au>Dunn, Terence</au><au>Zuna, Rosemary E.</au><au>Gold, Michael A.</au><au>Allen, Richard A.</au><au>Zhang, Roy</au><au>Sherman, Mark E.</au><au>Wacholder, Sholom</au><au>Walker, Joan</au><au>Wang, Sophia S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiple human papillomavirus genotype infections in cervical cancer progression in the study to understand cervical cancer early endpoints and determinants</atitle><jtitle>International journal of cancer</jtitle><addtitle>Int J Cancer</addtitle><date>2009-11-01</date><risdate>2009</risdate><volume>125</volume><issue>9</issue><spage>2151</spage><epage>2158</epage><pages>2151-2158</pages><issn>0020-7136</issn><eissn>1097-0215</eissn><abstract>Determining the causal attribution of human papillomavirus (HPV) genotypes to cervical disease is important to estimate the effect of HPV vaccination and to establish a type spectrum for HPV‐based screening. We analyzed the prevalence of HPV infections and their attribution to cervical disease in a population of 1,670 women referred to colposcopy for abnormal cytology at the University of Oklahoma. HPV genotyping was performed from cytology specimens using the Linear Array assay that detects 37 HPV genotypes. We used different methods of type attribution to revised cervical disease categories. We found very high prevalence of multiple HPV infections with up to 14 genotypes detected in single specimens. In all disease categories except for cancers, there was a significant trend of having more infections at a younger age. We did not see type interactions in multiple genotype infections. HPV16 was the most frequent genotype at all disease categories. Based on different attribution strategies, the attribution of vaccine genotypes (6, 11, 16, 18) ranged from 50.5 to 67.3% in cancers (n = 107), from 25.6 to 74.8% in CIN3 (n = 305), from 15.2 to 52.2% in CIN2 (n = 427), and from 6.6 to 26.0% in <CIN2 (n = 708). In the HSIL cytology group (n = 651), attribution ranged from 26.1 to 64.7%. The attribution of vaccine types to HSIL was substantially higher compared to the lower cytology categories. The potential range of HPV genotype attribution is wide at the disease categories <CIN2 to CIN3. Genotyping from cervical lesions and analyzing viral oncogene expression can improve estimates of HPV genotype attribution. © 2009 UICC</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>19585494</pmid><doi>10.1002/ijc.24528</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0020-7136 |
| ispartof | International journal of cancer, 2009-11, Vol.125 (9), p.2151-2158 |
| issn | 0020-7136 1097-0215 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_746013541 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Adolescent Adult Age Factors Aged Aged, 80 and over cervical cancer Cervical Intraepithelial Neoplasia - etiology Cervical Intraepithelial Neoplasia - virology Cervix Uteri - virology Disease Progression epidemiology Female Genotype HPV Human papillomavirus Human papillomavirus 16 Humans Middle Aged molecular Papillomaviridae - classification Papillomaviridae - genetics Papillomavirus Infections - complications Papillomavirus Infections - epidemiology Papillomavirus Infections - virology Papillomavirus Vaccines - immunology SUCCEED Uterine Cervical Neoplasms - etiology Uterine Cervical Neoplasms - virology |
| title | Multiple human papillomavirus genotype infections in cervical cancer progression in the study to understand cervical cancer early endpoints and determinants |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T08%3A25%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Multiple%20human%20papillomavirus%20genotype%20infections%20in%20cervical%20cancer%20progression%20in%20the%20study%20to%20understand%20cervical%20cancer%20early%20endpoints%20and%20determinants&rft.jtitle=International%20journal%20of%20cancer&rft.au=Wentzensen,%20Nicolas&rft.date=2009-11-01&rft.volume=125&rft.issue=9&rft.spage=2151&rft.epage=2158&rft.pages=2151-2158&rft.issn=0020-7136&rft.eissn=1097-0215&rft_id=info:doi/10.1002/ijc.24528&rft_dat=%3Cproquest_cross%3E67632672%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=67632672&rft_id=info:pmid/19585494&rfr_iscdi=true |