dc.contributor.author | Ghorbian, S | |
dc.contributor.author | Jahanzad, I | |
dc.contributor.author | Javadi, GR | |
dc.contributor.author | Sakhinia, E | |
dc.date.accessioned | 2018-08-26T07:41:09Z | |
dc.date.available | 2018-08-26T07:41:09Z | |
dc.date.issued | 2016 | |
dc.identifier | 10.1179/1607845415Y.0000000035 | |
dc.identifier.uri | http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/47425 | |
dc.description.abstract | Background: Although the analysis of molecular clonality rearrangements of the immunoglobulin light chains (IGK and IGL) is an alternative approach for diagnosis of B cell non-Hodgkin lymphomas (NHLs) using BIOMED-2 protocols, NHLs have not been extensively confirmed for Hodgkin lymphoma (HL) cases. We evaluated BIOMED-2 protocols in HL cases, which have been suggested previously as gold standard method for molecular clonality analysis on formalin fixed, paraffin-embedded (FFPE) tissue in NHL patients. Methods: We recruited 50 consecutive FFPE tissues of HL samples to evaluate IGK and IGL clonality gene rearrangements using BIOMED-2 and Heteroduplex methods. Results: Our findings revealed a total of 94% (47/50) positive clonality, which consisted of 70% (35/50) for IGK and 44% (22/50) for IGL. In three cases, clonality was not detected in any of the immunoglobulin gene segments. Conclusions: Analysis of clonality gene rearrangements in IGK and IGL genes using BIOMED-2 protocols could be implemented as a valuable method for improving clonality detection rate in HL cases and sensitivity (94%) and accuracy of HL diagnosis similar to that of the NHL samples will be increased. | |
dc.language.iso | English | |
dc.relation.ispartof | HEMATOLOGY | |
dc.subject | Hodgkin's lymphoma | |
dc.subject | BIOMED-2 | |
dc.subject | IGK | |
dc.subject | Rearrangements | |
dc.subject | Clonality | |
dc.title | Evaluation of IGK and IGL molecular gene rearrangements according to the BIOMED-2 protocols for clinical diagnosis of Hodgkin lymphoma | |
dc.type | Article | |
dc.citation.volume | 21 | |
dc.citation.issue | 3 | |
dc.citation.spage | 133 | |
dc.citation.epage | 137 | |
dc.citation.index | Web of science | |
dc.identifier.DOI | https://doi.org/10.1179/1607845415Y.0000000035 | |