Immunophenotypic features and t(14;18) (q32;q21) translocation of Chinese follicular lymphomas helps to distinguish subgroups
The revised 2008 World Health Organization classification maintains a histological grading system (grades 1-3) for follicular lymphoma (FL). The value of grading FL has been debated. This study will yield deeper insights into the morphologic, immunophenotypic characterization and t(14;18) translocat...
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creator | Zhang, Fen Yan, Li-Xu Lin, Su-Xia Ye, Zi-Yin Zhuang, Heng-Guo Yun, Jing-Ping Lin, Han-Liang Luo, Dong-Lan Xu, Fang-Ping Luo, Xin-Lan Cheng, Jie Zhang, Ke-Ping Liu, Yan-Hui |
description | The revised 2008 World Health Organization classification maintains a histological grading system (grades 1-3) for follicular lymphoma (FL). The value of grading FL has been debated. This study will yield deeper insights into the morphologic, immunophenotypic characterization and t(14;18) translocation in FL and explore their significance of diagnosis of Chinese FL subgroups.
We retrospectively reviewed the FL diagnoses according to the 2008 WHO classification in all diagnostic specimens from a multicentric cohort of 122 Chinese patients. Upon review, 115 cases proved to be truly FL. CD10, BCL6, MUM1, BCL2 and t(14;18) (q32;q21) translocation were detected by Envision immunostaining technique and fluorescence in situ hybridization.
FL1 has larger proportion of follicular pattern (93.0%) than that of FL2 (73.7%, P = 0.036), FL3B (63.6%, P = 0.003) and FL3A (77.4%, P = 0.053), although the last P value was more than 0.05 (Pearson's chi-squared test). Areas of DLBCL were present in 25.8% (8/31) of FL3A and more frequent in FL3B (59.1%, 13/22; P = 0.015). The positivity of CD10 and BCL2 in FL1-2 were significantly higher than those in FL3 (P < 0.001, P = 0.043, respectively). The positivity of MUM1 in FL1-2 was significantly lower than that in FL3 (10.2% vs. 51.0%; P < 0.001). Furthermore the positivity of MUM1 in FL3A was significantly lower than that in FL3B (37.9% vs. 68.2%; P = 0.032). The positivity of t(14;18) was higher in FL1-2 than in FL3 (73.5% vs. 35.6%, P < 0.001), and was higher in FL3A than in FL3B (51.9% vs. 11.1%, P = 0.005). t(14;18) was significantly correlated with CD10+ (R = 0.453, P < 0.001) and MUM1+ (R = -0.482, P < 0.001).
FL1 and FL2 were immunophenotypically and genomically similar, while FL3A and FL3B were partly immunophenotypically similar but morphologically, genomically distinct. FL3A was genomically closer to FL1-2, whereas FL3A was genomically closer DLBCL. Thus we hypothesize that FL may in fact be a heterogeneous indolent lymphoma encompassing entities with distinct molecular pathogenesis and genetic characteristics. Immunohistochemical and genetic characterization helps to distinguish subgroups of FLs.
The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1334018129864616. |
doi_str_mv | 10.1186/1746-1596-8-154 |
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fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3853627</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A534705513</galeid><sourcerecordid>A534705513</sourcerecordid><originalsourceid>FETCH-LOGICAL-b580t-ba6f794a3ae577367c637fba8c0102fc622a1d9ef50d53a7674bf877c6dc9cf3</originalsourceid><addsrcrecordid>eNp1kk1r3DAQhk1padK0596KoJfNwYlkfdkECumStoFAL7kLWZbWCrLktazCHvrfK7PJNltSdBgx88wrzcsUxUcELxCq2SXihJWINqyscyCvitND5vWz-0nxLsYHCAmlFXxbnFQEklxrTovft8OQfBh77cO8G60CRss5TToC6TswrxC5QvU5WG1xdbWt0DmYJ-mjC0rONngQDFj31uuogQnOWZWcnIDbDWMfBhlBr90YwRxAZ-Ns_SbZ2IOY2s0U0hjfF2-MdFF_eIxnxf23m_v1j_Lu5_fb9fVd2dIazmUrmeENkVhqyjlmXDHMTStrBRGsjGJVJVHXaENhR7HkjJPW1DxjnWqUwWfFl73smNpBd0r7PIQT42QHOe1EkFYcV7ztxSb8ErimmFU8C3zdC7Q2_EfguKLCIBb3xeK-qHMgWWT1-IspbJOOsxhsVNo56XVIUSDCCEUQUpbRz_-gDyFNPluUKUIYbTDBf6mNdFpYb0J-Wy2i4ppiwiGlaKEuXqDy6fRgVfDa2Jw_arjcN6gpxDhpc5gTQbFs3QuTfXru74F_WjP8B6K70w0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1444659343</pqid></control><display><type>article</type><title>Immunophenotypic features and t(14;18) (q32;q21) translocation of Chinese follicular lymphomas helps to distinguish subgroups</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>Springer Nature - Complete Springer Journals</source><source>PubMed Central</source><source>Springer Nature OA/Free Journals</source><creator>Zhang, Fen ; Yan, Li-Xu ; Lin, Su-Xia ; Ye, Zi-Yin ; Zhuang, Heng-Guo ; Yun, Jing-Ping ; Lin, Han-Liang ; Luo, Dong-Lan ; Xu, Fang-Ping ; Luo, Xin-Lan ; Cheng, Jie ; Zhang, Ke-Ping ; Liu, Yan-Hui</creator><creatorcontrib>Zhang, Fen ; Yan, Li-Xu ; Lin, Su-Xia ; Ye, Zi-Yin ; Zhuang, Heng-Guo ; Yun, Jing-Ping ; Lin, Han-Liang ; Luo, Dong-Lan ; Xu, Fang-Ping ; Luo, Xin-Lan ; Cheng, Jie ; Zhang, Ke-Ping ; Liu, Yan-Hui</creatorcontrib><description>The revised 2008 World Health Organization classification maintains a histological grading system (grades 1-3) for follicular lymphoma (FL). The value of grading FL has been debated. This study will yield deeper insights into the morphologic, immunophenotypic characterization and t(14;18) translocation in FL and explore their significance of diagnosis of Chinese FL subgroups.
We retrospectively reviewed the FL diagnoses according to the 2008 WHO classification in all diagnostic specimens from a multicentric cohort of 122 Chinese patients. Upon review, 115 cases proved to be truly FL. CD10, BCL6, MUM1, BCL2 and t(14;18) (q32;q21) translocation were detected by Envision immunostaining technique and fluorescence in situ hybridization.
FL1 has larger proportion of follicular pattern (93.0%) than that of FL2 (73.7%, P = 0.036), FL3B (63.6%, P = 0.003) and FL3A (77.4%, P = 0.053), although the last P value was more than 0.05 (Pearson's chi-squared test). Areas of DLBCL were present in 25.8% (8/31) of FL3A and more frequent in FL3B (59.1%, 13/22; P = 0.015). The positivity of CD10 and BCL2 in FL1-2 were significantly higher than those in FL3 (P < 0.001, P = 0.043, respectively). The positivity of MUM1 in FL1-2 was significantly lower than that in FL3 (10.2% vs. 51.0%; P < 0.001). Furthermore the positivity of MUM1 in FL3A was significantly lower than that in FL3B (37.9% vs. 68.2%; P = 0.032). The positivity of t(14;18) was higher in FL1-2 than in FL3 (73.5% vs. 35.6%, P < 0.001), and was higher in FL3A than in FL3B (51.9% vs. 11.1%, P = 0.005). t(14;18) was significantly correlated with CD10+ (R = 0.453, P < 0.001) and MUM1+ (R = -0.482, P < 0.001).
FL1 and FL2 were immunophenotypically and genomically similar, while FL3A and FL3B were partly immunophenotypically similar but morphologically, genomically distinct. FL3A was genomically closer to FL1-2, whereas FL3A was genomically closer DLBCL. Thus we hypothesize that FL may in fact be a heterogeneous indolent lymphoma encompassing entities with distinct molecular pathogenesis and genetic characteristics. Immunohistochemical and genetic characterization helps to distinguish subgroups of FLs.
The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1334018129864616.</description><identifier>ISSN: 1746-1596</identifier><identifier>EISSN: 1746-1596</identifier><identifier>DOI: 10.1186/1746-1596-8-154</identifier><identifier>PMID: 24047469</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor - analysis ; Biomarkers, Tumor - genetics ; Cell cycle ; China ; Chromosomes ; Chromosomes, Human, Pair 14 ; Chromosomes, Human, Pair 18 ; Cloning ; Diagnosis, Differential ; Dilution ; Female ; Genes ; Genetic aspects ; Genetic Predisposition to Disease ; Hospitals ; Humans ; Immunohistochemistry ; Immunophenotyping - methods ; In Situ Hybridization, Fluorescence ; Lymphoma ; Lymphoma, Follicular - chemistry ; Lymphoma, Follicular - classification ; Lymphoma, Follicular - genetics ; Lymphomas ; Male ; Middle Aged ; Neoplasm Grading ; Pathogenesis ; Pathology ; Phenotype ; Predictive Value of Tests ; Proteins ; Retrospective Studies ; Statistical analysis ; Translocation (Genetics) ; Translocation, Genetic ; Young Adult</subject><ispartof>Diagnostic pathology, 2013-09, Vol.8 (1), p.154-154, Article 154</ispartof><rights>COPYRIGHT 2013 BioMed Central Ltd.</rights><rights>2013 Zhang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2013 Zhang et al.; licensee BioMed Central Ltd. 2013 Zhang et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b580t-ba6f794a3ae577367c637fba8c0102fc622a1d9ef50d53a7674bf877c6dc9cf3</citedby><cites>FETCH-LOGICAL-b580t-ba6f794a3ae577367c637fba8c0102fc622a1d9ef50d53a7674bf877c6dc9cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853627/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3853627/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24047469$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Fen</creatorcontrib><creatorcontrib>Yan, Li-Xu</creatorcontrib><creatorcontrib>Lin, Su-Xia</creatorcontrib><creatorcontrib>Ye, Zi-Yin</creatorcontrib><creatorcontrib>Zhuang, Heng-Guo</creatorcontrib><creatorcontrib>Yun, Jing-Ping</creatorcontrib><creatorcontrib>Lin, Han-Liang</creatorcontrib><creatorcontrib>Luo, Dong-Lan</creatorcontrib><creatorcontrib>Xu, Fang-Ping</creatorcontrib><creatorcontrib>Luo, Xin-Lan</creatorcontrib><creatorcontrib>Cheng, Jie</creatorcontrib><creatorcontrib>Zhang, Ke-Ping</creatorcontrib><creatorcontrib>Liu, Yan-Hui</creatorcontrib><title>Immunophenotypic features and t(14;18) (q32;q21) translocation of Chinese follicular lymphomas helps to distinguish subgroups</title><title>Diagnostic pathology</title><addtitle>Diagn Pathol</addtitle><description>The revised 2008 World Health Organization classification maintains a histological grading system (grades 1-3) for follicular lymphoma (FL). The value of grading FL has been debated. This study will yield deeper insights into the morphologic, immunophenotypic characterization and t(14;18) translocation in FL and explore their significance of diagnosis of Chinese FL subgroups.
We retrospectively reviewed the FL diagnoses according to the 2008 WHO classification in all diagnostic specimens from a multicentric cohort of 122 Chinese patients. Upon review, 115 cases proved to be truly FL. CD10, BCL6, MUM1, BCL2 and t(14;18) (q32;q21) translocation were detected by Envision immunostaining technique and fluorescence in situ hybridization.
FL1 has larger proportion of follicular pattern (93.0%) than that of FL2 (73.7%, P = 0.036), FL3B (63.6%, P = 0.003) and FL3A (77.4%, P = 0.053), although the last P value was more than 0.05 (Pearson's chi-squared test). Areas of DLBCL were present in 25.8% (8/31) of FL3A and more frequent in FL3B (59.1%, 13/22; P = 0.015). The positivity of CD10 and BCL2 in FL1-2 were significantly higher than those in FL3 (P < 0.001, P = 0.043, respectively). The positivity of MUM1 in FL1-2 was significantly lower than that in FL3 (10.2% vs. 51.0%; P < 0.001). Furthermore the positivity of MUM1 in FL3A was significantly lower than that in FL3B (37.9% vs. 68.2%; P = 0.032). The positivity of t(14;18) was higher in FL1-2 than in FL3 (73.5% vs. 35.6%, P < 0.001), and was higher in FL3A than in FL3B (51.9% vs. 11.1%, P = 0.005). t(14;18) was significantly correlated with CD10+ (R = 0.453, P < 0.001) and MUM1+ (R = -0.482, P < 0.001).
FL1 and FL2 were immunophenotypically and genomically similar, while FL3A and FL3B were partly immunophenotypically similar but morphologically, genomically distinct. FL3A was genomically closer to FL1-2, whereas FL3A was genomically closer DLBCL. Thus we hypothesize that FL may in fact be a heterogeneous indolent lymphoma encompassing entities with distinct molecular pathogenesis and genetic characteristics. Immunohistochemical and genetic characterization helps to distinguish subgroups of FLs.
The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1334018129864616.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Cell cycle</subject><subject>China</subject><subject>Chromosomes</subject><subject>Chromosomes, Human, Pair 14</subject><subject>Chromosomes, Human, Pair 18</subject><subject>Cloning</subject><subject>Diagnosis, Differential</subject><subject>Dilution</subject><subject>Female</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic Predisposition to Disease</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Immunophenotyping - methods</subject><subject>In Situ Hybridization, Fluorescence</subject><subject>Lymphoma</subject><subject>Lymphoma, Follicular - chemistry</subject><subject>Lymphoma, Follicular - classification</subject><subject>Lymphoma, Follicular - genetics</subject><subject>Lymphomas</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasm Grading</subject><subject>Pathogenesis</subject><subject>Pathology</subject><subject>Phenotype</subject><subject>Predictive Value of Tests</subject><subject>Proteins</subject><subject>Retrospective Studies</subject><subject>Statistical analysis</subject><subject>Translocation (Genetics)</subject><subject>Translocation, Genetic</subject><subject>Young Adult</subject><issn>1746-1596</issn><issn>1746-1596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</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><recordid>eNp1kk1r3DAQhk1padK0596KoJfNwYlkfdkECumStoFAL7kLWZbWCrLktazCHvrfK7PJNltSdBgx88wrzcsUxUcELxCq2SXihJWINqyscyCvitND5vWz-0nxLsYHCAmlFXxbnFQEklxrTovft8OQfBh77cO8G60CRss5TToC6TswrxC5QvU5WG1xdbWt0DmYJ-mjC0rONngQDFj31uuogQnOWZWcnIDbDWMfBhlBr90YwRxAZ-Ns_SbZ2IOY2s0U0hjfF2-MdFF_eIxnxf23m_v1j_Lu5_fb9fVd2dIazmUrmeENkVhqyjlmXDHMTStrBRGsjGJVJVHXaENhR7HkjJPW1DxjnWqUwWfFl73smNpBd0r7PIQT42QHOe1EkFYcV7ztxSb8ErimmFU8C3zdC7Q2_EfguKLCIBb3xeK-qHMgWWT1-IspbJOOsxhsVNo56XVIUSDCCEUQUpbRz_-gDyFNPluUKUIYbTDBf6mNdFpYb0J-Wy2i4ppiwiGlaKEuXqDy6fRgVfDa2Jw_arjcN6gpxDhpc5gTQbFs3QuTfXru74F_WjP8B6K70w0</recordid><startdate>20130918</startdate><enddate>20130918</enddate><creator>Zhang, Fen</creator><creator>Yan, Li-Xu</creator><creator>Lin, Su-Xia</creator><creator>Ye, Zi-Yin</creator><creator>Zhuang, Heng-Guo</creator><creator>Yun, Jing-Ping</creator><creator>Lin, Han-Liang</creator><creator>Luo, Dong-Lan</creator><creator>Xu, Fang-Ping</creator><creator>Luo, Xin-Lan</creator><creator>Cheng, Jie</creator><creator>Zhang, Ke-Ping</creator><creator>Liu, Yan-Hui</creator><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7Z</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7T5</scope><scope>H94</scope><scope>5PM</scope></search><sort><creationdate>20130918</creationdate><title>Immunophenotypic features and t(14;18) (q32;q21) translocation of Chinese follicular lymphomas helps to distinguish subgroups</title><author>Zhang, Fen ; Yan, Li-Xu ; Lin, Su-Xia ; Ye, Zi-Yin ; Zhuang, Heng-Guo ; Yun, Jing-Ping ; Lin, Han-Liang ; Luo, Dong-Lan ; Xu, Fang-Ping ; Luo, Xin-Lan ; Cheng, Jie ; Zhang, Ke-Ping ; Liu, Yan-Hui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b580t-ba6f794a3ae577367c637fba8c0102fc622a1d9ef50d53a7674bf877c6dc9cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Cell cycle</topic><topic>China</topic><topic>Chromosomes</topic><topic>Chromosomes, Human, Pair 14</topic><topic>Chromosomes, Human, Pair 18</topic><topic>Cloning</topic><topic>Diagnosis, Differential</topic><topic>Dilution</topic><topic>Female</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genetic Predisposition to Disease</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Immunophenotyping - methods</topic><topic>In Situ Hybridization, Fluorescence</topic><topic>Lymphoma</topic><topic>Lymphoma, Follicular - chemistry</topic><topic>Lymphoma, Follicular - classification</topic><topic>Lymphoma, Follicular - genetics</topic><topic>Lymphomas</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasm Grading</topic><topic>Pathogenesis</topic><topic>Pathology</topic><topic>Phenotype</topic><topic>Predictive Value of Tests</topic><topic>Proteins</topic><topic>Retrospective Studies</topic><topic>Statistical analysis</topic><topic>Translocation (Genetics)</topic><topic>Translocation, Genetic</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Fen</creatorcontrib><creatorcontrib>Yan, Li-Xu</creatorcontrib><creatorcontrib>Lin, Su-Xia</creatorcontrib><creatorcontrib>Ye, Zi-Yin</creatorcontrib><creatorcontrib>Zhuang, Heng-Guo</creatorcontrib><creatorcontrib>Yun, Jing-Ping</creatorcontrib><creatorcontrib>Lin, Han-Liang</creatorcontrib><creatorcontrib>Luo, Dong-Lan</creatorcontrib><creatorcontrib>Xu, Fang-Ping</creatorcontrib><creatorcontrib>Luo, Xin-Lan</creatorcontrib><creatorcontrib>Cheng, Jie</creatorcontrib><creatorcontrib>Zhang, Ke-Ping</creatorcontrib><creatorcontrib>Liu, Yan-Hui</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 Central (Corporate)</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>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>ProQuest Central</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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</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>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Diagnostic pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Fen</au><au>Yan, Li-Xu</au><au>Lin, Su-Xia</au><au>Ye, Zi-Yin</au><au>Zhuang, Heng-Guo</au><au>Yun, Jing-Ping</au><au>Lin, Han-Liang</au><au>Luo, Dong-Lan</au><au>Xu, Fang-Ping</au><au>Luo, Xin-Lan</au><au>Cheng, Jie</au><au>Zhang, Ke-Ping</au><au>Liu, Yan-Hui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Immunophenotypic features and t(14;18) (q32;q21) translocation of Chinese follicular lymphomas helps to distinguish subgroups</atitle><jtitle>Diagnostic pathology</jtitle><addtitle>Diagn Pathol</addtitle><date>2013-09-18</date><risdate>2013</risdate><volume>8</volume><issue>1</issue><spage>154</spage><epage>154</epage><pages>154-154</pages><artnum>154</artnum><issn>1746-1596</issn><eissn>1746-1596</eissn><abstract>The revised 2008 World Health Organization classification maintains a histological grading system (grades 1-3) for follicular lymphoma (FL). The value of grading FL has been debated. This study will yield deeper insights into the morphologic, immunophenotypic characterization and t(14;18) translocation in FL and explore their significance of diagnosis of Chinese FL subgroups.
We retrospectively reviewed the FL diagnoses according to the 2008 WHO classification in all diagnostic specimens from a multicentric cohort of 122 Chinese patients. Upon review, 115 cases proved to be truly FL. CD10, BCL6, MUM1, BCL2 and t(14;18) (q32;q21) translocation were detected by Envision immunostaining technique and fluorescence in situ hybridization.
FL1 has larger proportion of follicular pattern (93.0%) than that of FL2 (73.7%, P = 0.036), FL3B (63.6%, P = 0.003) and FL3A (77.4%, P = 0.053), although the last P value was more than 0.05 (Pearson's chi-squared test). Areas of DLBCL were present in 25.8% (8/31) of FL3A and more frequent in FL3B (59.1%, 13/22; P = 0.015). The positivity of CD10 and BCL2 in FL1-2 were significantly higher than those in FL3 (P < 0.001, P = 0.043, respectively). The positivity of MUM1 in FL1-2 was significantly lower than that in FL3 (10.2% vs. 51.0%; P < 0.001). Furthermore the positivity of MUM1 in FL3A was significantly lower than that in FL3B (37.9% vs. 68.2%; P = 0.032). The positivity of t(14;18) was higher in FL1-2 than in FL3 (73.5% vs. 35.6%, P < 0.001), and was higher in FL3A than in FL3B (51.9% vs. 11.1%, P = 0.005). t(14;18) was significantly correlated with CD10+ (R = 0.453, P < 0.001) and MUM1+ (R = -0.482, P < 0.001).
FL1 and FL2 were immunophenotypically and genomically similar, while FL3A and FL3B were partly immunophenotypically similar but morphologically, genomically distinct. FL3A was genomically closer to FL1-2, whereas FL3A was genomically closer DLBCL. Thus we hypothesize that FL may in fact be a heterogeneous indolent lymphoma encompassing entities with distinct molecular pathogenesis and genetic characteristics. Immunohistochemical and genetic characterization helps to distinguish subgroups of FLs.
The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1334018129864616.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>24047469</pmid><doi>10.1186/1746-1596-8-154</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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issn | 1746-1596 1746-1596 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3853627 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; Springer Nature - Complete Springer Journals; PubMed Central; Springer Nature OA/Free Journals |
subjects | Adult Aged Aged, 80 and over Biomarkers, Tumor - analysis Biomarkers, Tumor - genetics Cell cycle China Chromosomes Chromosomes, Human, Pair 14 Chromosomes, Human, Pair 18 Cloning Diagnosis, Differential Dilution Female Genes Genetic aspects Genetic Predisposition to Disease Hospitals Humans Immunohistochemistry Immunophenotyping - methods In Situ Hybridization, Fluorescence Lymphoma Lymphoma, Follicular - chemistry Lymphoma, Follicular - classification Lymphoma, Follicular - genetics Lymphomas Male Middle Aged Neoplasm Grading Pathogenesis Pathology Phenotype Predictive Value of Tests Proteins Retrospective Studies Statistical analysis Translocation (Genetics) Translocation, Genetic Young Adult |
title | Immunophenotypic features and t(14;18) (q32;q21) translocation of Chinese follicular lymphomas helps to distinguish subgroups |
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