Rapid identification ofBCR/ABL1-like acute lymphoblastic leukaemia patients using a predictive statistical model based on quantitative real time-polymerase chain reaction: clinical, prognostic and therapeutic implications-Reference-Cited by-同舟云学术

Rapid identification ofBCR/ABL1-like acute lymphoblastic leukaemia patients using a predictive statistical model based on quantitative real time-polymerase chain reaction: clinical, prognostic and therapeutic implications

Published:2018-04-19 Issue:5 Volume:181 Page:642-652
ISSN:0007-1048
Container-title:British Journal of Haematology
language:en
Short-container-title:Br J Haematol

Author:

Chiaretti Sabina¹^ORCID,Messina Monica¹^ORCID,Grammatico Sara¹,Piciocchi Alfonso²,Fedullo Anna L.¹,Di Giacomo Filomena¹³,Peragine Nadia¹,Gianfelici Valentina¹,Lauretti Alessia¹,Bareja Rohan⁴,Martelli Maria P.⁵,Vignetti Marco¹,Apicella Valerio¹,Vitale Antonella¹,Li Loretta S.⁶,Salek Cyril⁷,Elemento Olivier⁴,Inghirami Giorgio³,Weinstock David M.⁸,Guarini Anna⁹,Foà Robin¹

Affiliation:

1. Haematology, Department of Cellular Biotechnologies and Haematology; “Sapienza” University; Rome Italy

2. GIMEMA Data Centre; GIMEMA Foundation; Rome Italy

3. Department of Pathology and Laboratory Medicine; Weill Cornell Medical College; New York NY USA

4. Department of Physiology and Biophysics; Weill Cornell Medical College; New York NY USA

5. Institute of Haematology; Centro Ricerche Onco-Ematologiche (CREO); University of Perugia; Perugia Italy

6. Department of Paediatric Haematology/Oncology; Dana-Farber Cancer Institute; Boston MA USA

7. Institute of Haematology and Blood Transfusion; Prague Czech Republic

8. Department of Medical Oncology; Dana-Farber Cancer Institute; Boston MA USA

9. Department of Molecular Medicine; “Sapienza” University; Rome Italy

Funder

Associazione Cristina Bassi Onlus (Genova)

National Cancer Institute

Publisher

Wiley

Subject

Hematology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/bjh.15251/fullpdf

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