A complementary role of multiparameter flow cytometry and high-throughput sequencing for minimal residual disease detection in chronic lymphocytic leukemia: an European Research Initiative on CLL study

Andy C. Rawstron(St James's University Hospital), Claudia Fazi(Vita-Salute San Raffaele University), Andreas Agathangelidis(Vita-Salute San Raffaele University), Neus Villamor(Hospital Clínic de Barcelona), Rémi Letestu(Assistance Publique – Hôpitaux de Paris), Josep Nomdedéu(Hospital de Sant Pau), Carlos Palacio(Vall d'Hebron Hospital Universitari), Olga Stehlíková(Masaryk University), K-A Kreuzer(University Hospital Cologne), Stuart Liptrot(St. James's Hospital), David O’Brien(St. James's Hospital), Ruth M. de Tute(St James's University Hospital), Iuri Marinov(Institute of Haematology and Blood Transfusion), Mathieu Hauwel(University Hospital of Geneva), Martin Špaček(General University Hospital in Prague), Johan A. Dobber(Amsterdam UMC Location University of Amsterdam), Arnon P. Kater(Amsterdam UMC Location University of Amsterdam), Peter Gambell(Peter MacCallum Cancer Centre), Asha Soosapilla, Gerard Lozanski(The Ohio State University Wexner Medical Center), Gabriele Brachtl(Paracelsus Medical University), Ke Lin(Royal Liverpool and Broadgreen University Hospital NHS Trust), Justin C. Boysen(Mayo Clinic in Arizona), Curtis A. Hanson(Mayo Clinic in Arizona), Jeffrey L. Jorgensen(The University of Texas MD Anderson Cancer Center), Maryalice Stetler‐Stevenson(National Institutes of Health), Constance M. Yuan(National Institutes of Health), H. Elizabeth Broome(University of California San Diego), Laura Z. Rassenti(University of California San Diego), Fiona E. Craig(University of Pittsburgh), Julio Delgado(Hospital Clínic de Barcelona), Carol Moreno(Hospital de Sant Pau), Francesc Bosch(Vall d'Hebron Hospital Universitari), A Egle(Paracelsus Medical University), Michael Doubek(Masaryk University), Šárka Pospı́šilová(Masaryk University), Stephen P. Mulligan(Royal North Shore Hospital), David Westerman(Peter MacCallum Cancer Centre), Catherine Sanders(Adaptive Biotechnologies (United States)), Ryan Emerson(Adaptive Biotechnologies (United States)), Harlan Robins(Adaptive Biotechnologies (United States)), Ilan Kirsch(Adaptive Biotechnologies (United States)), Tait D. Shanafelt(Mayo Clinic in Arizona), Andrew R. Pettitt(Royal Liverpool and Broadgreen University Hospital NHS Trust), Thomas J. Kipps(University of California San Diego), William G. Wierda(The University of Texas MD Anderson Cancer Center), Florence Cymbalista(Assistance Publique – Hôpitaux de Paris), Michael Hallek(University Hospital Cologne), Peter Hillmen(University of Leeds), Emili Montserrat(Hospital Clínic de Barcelona), Paolo Ghia(Vita-Salute San Raffaele University)
Leukemia
December 7, 2015
Cited by 240Open Access
Full Text

Abstract

In chronic lymphocytic leukemia (CLL) the level of minimal residual disease (MRD) after therapy is an independent predictor of outcome. Given the increasing number of new agents being explored for CLL therapy, using MRD as a surrogate could greatly reduce the time necessary to assess their efficacy. In this European Research Initiative on CLL (ERIC) project we have identified and validated a flow-cytometric approach to reliably quantitate CLL cells to the level of 0.0010% (10(-5)). The assay comprises a core panel of six markers (i.e. CD19, CD20, CD5, CD43, CD79b and CD81) with a component specification independent of instrument and reagents, which can be locally re-validated using normal peripheral blood. This method is directly comparable to previous ERIC-designed assays and also provides a backbone for investigation of new markers. A parallel analysis of high-throughput sequencing using the ClonoSEQ assay showed good concordance with flow cytometry results at the 0.010% (10(-4)) level, the MRD threshold defined in the 2008 International Workshop on CLL guidelines, but it also provides good linearity to a detection limit of 1 in a million (10(-6)). The combination of both technologies would permit a highly sensitive approach to MRD detection while providing a reproducible and broadly accessible method to quantify residual disease and optimize treatment in CLL.


Related Papers

No related papers found

Powered by citation graph analysis