Please use this identifier to cite or link to this item: https://observatorio.fm.usp.br/handle/OPI/1200
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dc.contributorSistema FMUSP-HC: Faculdade de Medicina da Universidade de São Paulo (FMUSP) e Hospital das Clínicas da FMUSP-
dc.contributor.authorGUALCO, Gabriela-
dc.contributor.authorBACCHI, Livia M.-
dc.contributor.authorDOMENY-DUARTE, Pollyanna-
dc.contributor.authorNATKUNAM, Yasodha-
dc.contributor.authorBACCHI, Carlos E.-
dc.date.accessioned2013-07-30T15:32:34Z-
dc.date.available2013-07-30T15:32:34Z-
dc.date.issued2012-
dc.identifier.citationMODERN PATHOLOGY, v.25, n.11, p.1439-1445, 2012-
dc.identifier.issn0893-3952-
dc.identifier.urihttps://observatorio.fm.usp.br/handle/OPI/1200-
dc.description.abstractDiffuse large B-cell lymphoma can be subclassified into at least two molecular subgroups by gene expression profiling: germinal center B-cell like and activated B-cell like diffuse large B-cell lymphoma. Several immunohistological algorithms have been proposed as surrogates to gene expression profiling at the level of protein expression, but their reliability has been an issue of controversy. Furthermore, the proportion of misclassified cases of germinal center B-cell subgroup by immunohistochemistry, in all reported algorithms, is higher compared with germinal center B-cell cases defined by gene expression profiling. We analyzed 424 cases of nodal diffuse large B-cell lymphoma with the panel of markers included in the three previously described algorithms: Hans, Choi, and Tally. To test whether the sensitivity of detecting germinal center B-cell cases could be improved, the germinal center B-cell marker HGAL/GCET2 was also added to all three algorithms. Our results show that the inclusion of HGAL/GCET2 significantly increased the detection of germinal center B-cell cases in all three algorithms (P<0.001). The proportions of germinal center B-cell cases in the original algorithms were 27%, 34%, and 19% for Hans, Choi, and Tally, respectively. In the modified algorithms, with the inclusion of HGAL/GCET2, the frequencies of germinal center B-cell cases were increased to 38%, 48%, and 35%, respectively. Therefore, HGAL/GCET2 protein expression may function as a marker for germinal center B-cell type diffuse large B-cell lymphoma. Consideration should be given to the inclusion of HGAL/GCET2 analysis in algorithms to better predict the cell of origin. These findings bear further validation, from comparison to gene expression profiles and from clinical/therapeutic data. Modern Pathology (2012) 25, 1439-1445; doi: 10.1038/modpathol.2012.119; published online 29 June 2012-
dc.language.isoeng-
dc.publisherNATURE PUBLISHING GROUP-
dc.relation.ispartofModern Pathology-
dc.rightsrestrictedAccess-
dc.subjectDiffuse large B-cell lymphoma-
dc.subjectGCET1-
dc.subjectHGAL/GCET2-
dc.subjectLMO2-
dc.subjectno-germinal center-
dc.subject.othergerminal-center-
dc.subject.othermolecular subtypes-
dc.subject.otherburkitts-lymphoma-
dc.subject.otherprognostic impact-
dc.subject.otherhgal protein-
dc.subject.otherexpression-
dc.subject.othergene-
dc.subject.othersurvival-
dc.subject.otherimmunochemotherapy-
dc.subject.otherclassification-
dc.titleThe contribution of HGAL/GCET2 in immunohistological algorithms: a comparative study in 424 cases of nodal diffuse large B-cell lymphoma-
dc.typearticle-
dc.rights.holderCopyright NATURE PUBLISHING GROUP-
dc.identifier.doi10.1038/modpathol.2012.119-
dc.identifier.pmid22743653-
dc.subject.wosPathology-
dc.type.categoryoriginal article-
dc.type.versionpublishedVersion-
hcfmusp.author.externalGUALCO, Gabriela:Consultoria Patol, BR-18602010 Botucatu, SP, Brazil-
hcfmusp.author.externalDOMENY-DUARTE, Pollyanna:Consultoria Patol, BR-18602010 Botucatu, SP, Brazil-
hcfmusp.author.externalNATKUNAM, Yasodha:Stanford Univ, Dept Pathol, Sch Med, Stanford, CA 94305 USA-
hcfmusp.author.externalBACCHI, Carlos E.:Consultoria Patol, BR-18602010 Botucatu, SP, Brazil-
hcfmusp.description.beginpage1439-
hcfmusp.description.endpage1445-
hcfmusp.description.issue11-
hcfmusp.description.volume25-
hcfmusp.origemWOS-
hcfmusp.origem.id2-s2.0-84868489206-
hcfmusp.origem.idWOS:000310795400001-
hcfmusp.publisher.cityNEW YORK-
hcfmusp.publisher.countryUSA-
hcfmusp.relation.referenceAlizadeh AA, 2000, NATURE, V403, P503, DOI 10.1038/35000501-
hcfmusp.relation.referenceBacchi MM, 1996, MODERN PATHOL, V9, P63-
hcfmusp.relation.referenceBanham AH, 2005, CLIN CANCER RES, V11, P1065-
hcfmusp.relation.referenceBarrans SL, 2004, BLOOD, V104, P2933, DOI 10.1182/blood-2004-03-1209-
hcfmusp.relation.referenceChang CC, 2004, AM J SURG PATHOL, V28, P464, DOI 10.1097/00000478-200404000-00005-
hcfmusp.relation.referenceChoi WWL, 2009, CLIN CANCER RES, V15, P5494, DOI 10.1158/1078-0432.CCR-09-0113-
hcfmusp.relation.referenceColomo L, 2003, BLOOD, V101, P78, DOI 10.1182/bllod-2002-04-1286-
hcfmusp.relation.referenceDunleavy K, 2009, BLOOD, V113, P6069, DOI 10.1182/blood-2009-01-199679-
hcfmusp.relation.referenceGutierrez-Garcia G, 2011, BLOOD, V117, P4836, DOI 10.1182/blood-2010-12-322362-
hcfmusp.relation.referenceHans CP, 2004, BLOOD, V103, P275, DOI 10.1182/blood-2003-05-1545-
hcfmusp.relation.referenceHummel M, 2006, NEW ENGL J MED, V354, P2419, DOI 10.1056/NEJMoa055351-
hcfmusp.relation.referenceLenz G, 2008, P NATL ACAD SCI USA, V105, P13520, DOI 10.1073/pnas.0804295105-
hcfmusp.relation.referenceLossos IS, 2003, BLOOD, V101, P433, DOI 10.1182/blood-2002-06-1931-
hcfmusp.relation.referenceMeyer PN, 2011, J CLIN ONCOL, V29, P200, DOI 10.1200/JCO.2010.30.0368-
hcfmusp.relation.referenceMontes-Moreno S, 2008, BLOOD, V111, P351, DOI 10.1182/blood-2007-06-094151-
hcfmusp.relation.referenceMorton Lindsay M, 2011, Int J Mol Epidemiol Genet, V2, P245-
hcfmusp.relation.referenceMuris JJF, 2006, J PATHOL, V208, P714, DOI 10.1002/path.1924-
hcfmusp.relation.referenceNatkunam Y, 2007, BLOOD, V109, P1636, DOI 10.1182/blood-2006-08-039024-
hcfmusp.relation.referenceNatkunam Y, 2005, BLOOD, V105, P3979, DOI 10.1182/blood-2004-08-3112-
hcfmusp.relation.referenceNyman H, 2009, MODERN PATHOL, V22, P1094, DOI 10.1038/modpathol.2009.73-
hcfmusp.relation.referenceNyman H, 2007, BLOOD, V109, P4930, DOI 10.1182/blood-2006-09-047068-
hcfmusp.relation.referenceOrsborne C, 2011, HISTOPATHOLOGY, V58, P106, DOI 10.1111/j.1365-2559.2010.03708.x-
hcfmusp.relation.referencePan ZG, 2003, AM J PATHOL, V163, P135, DOI 10.1016/S0002-9440(10)63637-1-
hcfmusp.relation.referenceParker A, 2010, BCSH GUIDELINES BEST-
hcfmusp.relation.referenceRimsza LM, 2011, CLIN CANCER RES, V17, P3727, DOI 10.1158/1078-0432.CCR-10-2573-
hcfmusp.relation.referenceRosenwald A, 2002, NEW ENGL J MED, V346, P1937, DOI 10.1056/NEJMoa012914-
hcfmusp.relation.referenceShipp MA, 2002, NAT MED, V8, P68, DOI 10.1038/nm0102-68-
hcfmusp.relation.referenceStein H, 2008, WHO CLASSIFICATION T, P233-
hcfmusp.relation.referenceTemmins C, 2011, APPL IMMUNOHISTO M M, V19, P266, DOI 10.1097/PAI.0b013e3181f89a4d-
hcfmusp.relation.referenceWright G, 2003, P NATL ACAD SCI USA, V100, P9991, DOI 10.1073/pnas.1732008100-
dc.description.indexMEDLINE-
hcfmusp.citation.scopus5-
hcfmusp.scopus.lastupdate2022-05-06-
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