Comparison of two real-time quantitative polymerase chain reaction strategies for minimal residual disease evaluation in lymphoproliferative disorders: Correlation between immunoglobulin gene mutation load and real-time quantitative polymerase chain reaction performance

Irene Della Starza, Marzia Cavalli, Ilaria Del Giudice, Daniela Barbero, Barbara Mantoan, Elisa Genuardi, Marina Urbano, Claudia Mannu, Anna Gazzola, Elena Ciabatti, Anna Guarini, Robin Foà, Sara Galimberti, Pierpaolo Piccaluga, Gianluca Gaidano, Marco Ladetto, Luigia Monitillo

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

We compared two strategies for minimal residual disease evaluation of B-cell lymphoproliferative disorders characterized by a variable immunoglobulin heavy chain (IGH) genes mutation load. Twenty-five samples from chronic lymphocytic leukaemia (n=18) or mantle cell lymphoma (n=7) patients were analyzed. Based on IGH variable region genes, 22/25 samples carried >2% mutations, 20/25>5%. In the IGH joining region genes, 23/25 samples carried >2% mutations, 18/25>5%. Real-time quantitative polymerase chain reaction was performed on IGH genes using two strategies: method A utilizes two patient-specific primers, whereas method B employs one patient-specific and one germline primer, with different positions on the variable, diversity and joining regions. Twenty-three samples (92%) resulted evaluable using method A, only six (24%) by method B. Method B poor performance was specifically evident among mutated IGH variable/joining region cases, although no specific mutation load above, which the real-time quantitative polymerase chain reaction failed was found. The molecular strategies for minimal residual disease evaluation should be adapted to the B-cell receptor features of the disease investigated.

Lingua originaleInglese
pagine (da-a)133-138
Numero di pagine6
RivistaHematological Oncology
Volume32
Numero di pubblicazione3
DOI
Stato di pubblicazionePubblicato - 1 set 2014

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