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.

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 react / DELLA STARZA, Irene; Cavalli, Marzia; DEL GIUDICE, Ilaria; Daniela, Barbero; Barbara, Mantoan; Elisa, Genuardi; Marina, Urbano; Claudia, Mannu; Anna, Gazzola; Elena, Ciabatti; Guarini, Anna; Foa, Roberto; Sara, Galimberti; Pierpaolo, Piccaluga; Gianluca, Gaidano; Marco, Ladetto; Luigia, Monitillo. - In: HEMATOLOGICAL ONCOLOGY. - ISSN 0278-0232. - STAMPA. - 32:3(2014), pp. 133-138. [10.1002/hon.2095]

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 react

DELLA STARZA, IRENE;CAVALLI, MARZIA;DEL GIUDICE, ILARIA;GUARINI, Anna;FOA, Roberto;
2014

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.
2014
01 Pubblicazione su rivista::01a Articolo in rivista
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 react / DELLA STARZA, Irene; Cavalli, Marzia; DEL GIUDICE, Ilaria; Daniela, Barbero; Barbara, Mantoan; Elisa, Genuardi; Marina, Urbano; Claudia, Mannu; Anna, Gazzola; Elena, Ciabatti; Guarini, Anna; Foa, Roberto; Sara, Galimberti; Pierpaolo, Piccaluga; Gianluca, Gaidano; Marco, Ladetto; Luigia, Monitillo. - In: HEMATOLOGICAL ONCOLOGY. - ISSN 0278-0232. - STAMPA. - 32:3(2014), pp. 133-138. [10.1002/hon.2095]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/540234
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