M Cabezón1,2, R Malinverni3, J Bargay4, B Xicoy1,2, S Marcé1, A Garrido5, M Tormo6, L Arenillas7, R Coll8, J Borras4, M J Jiménez1, M Hoyos5, D Valcárcel9, L Escoda10, F Vall-Llovera11, A Garcia12, L L Font13, E Rámila14, M Buschbeck3,15, L Zamora16. 1. Hematology Laboratory Service, ICO Badalona-Hospital Germans Trias I Pujol, Myeloid Neoplasms Group, Josep Carreras Leukemia Research Institute (IJC), Badalona, Spain. 2. Departament de Medicina, Universitat Autònoma de Barcelona, Badalona, Spain. 3. Cancer and Leukemia Epigenetics and Biology Program, Josep Carreras Leukemia Research Institute (IJC), Campus ICO-GTP-UAB, Badalona, Spain. 4. Hematology Service, Hospital Son Llàtzer, Palma de Mallorca, Spain. 5. Hematology Service, Hospital de Sant Pau, Barcelona, Spain. 6. Hematology Service, Hospital Clínico de Valencia, Valencia, Spain. 7. Hematology Service, Hospital del Mar, Barcelona, Spain. 8. Hematology Service, ICO Girona - Hospital Josep Trueta, Girona, Spain. 9. Hematology Service, Hospital Vall D'Hebron, Barcelona, Spain. 10. Hematology Service, Hospital Joan XXIII, Tarragona, Spain. 11. Hematology Service, Hospital Mútua de Terrassa, Terrassa, Spain. 12. Hematology Service, Hospital Arnau de Vilanova, Lleida, Spain. 13. Hematology Service, Hospital Verge de La Cinta, Tortosa, Spain. 14. Hematology Service, Hospital Parc Taulí, Sabadell, Spain. 15. Program for Predictive and Personalized Medicine of Cancer, Germans Trias I Pujol Research Institute (PMPPC-IGTP), Badalona, Spain. 16. Hematology Laboratory Service, ICO Badalona-Hospital Germans Trias I Pujol, Myeloid Neoplasms Group, Josep Carreras Leukemia Research Institute (IJC), Badalona, Spain. lzamora@iconcologia.net.
Abstract
BACKGROUND: Epigenetic therapy, using hypomethylating agents (HMA), is known to be effective in the treatment of high-risk myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) patients who are not suitable for intensive chemotherapy and/or allogeneic stem cell transplantation. However, response rates to HMA are low and there is an unmet need in finding prognostic and predictive biomarkers of treatment response and overall survival. We performed global methylation analysis of 75 patients with high-risk MDS and secondary AML who were included in CETLAM SMD-09 protocol, in which patients received HMA or intensive treatment according to age, comorbidities and cytogenetic. RESULTS: Unsupervised analysis of global methylation pattern at diagnosis did not allow patients to be differentiated according to the cytological subtype, cytogenetic groups, treatment response or patient outcome. However, after a supervised analysis we found a methylation signature defined by 200 probes, which allowed differentiating between patients responding and non-responding to azacitidine (AZA) treatment and a different methylation pattern also defined by 200 probes that allowed to differentiate patients according to their survival. On studying follow-up samples, we confirmed that AZA decreases global DNA methylation, but in our cohort the degree of methylation decrease did not correlate with the type of response. The methylation signature detected at diagnosis was not useful in treated samples to distinguish patients who were going to relapse or progress. CONCLUSIONS: Our findings suggest that in a subset of specific CpGs, altered DNA methylation patterns at diagnosis may be useful as a biomarker for predicting AZA response and survival.
BACKGROUND: Epigenetic therapy, using hypomethylating agents (HMA), is known to be effective in the treatment of high-risk myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) patients who are not suitable for intensive chemotherapy and/or allogeneic stem cell transplantation. However, response rates to HMA are low and there is an unmet need in finding prognostic and predictive biomarkers of treatment response and overall survival. We performed global methylation analysis of 75 patients with high-risk MDS and secondary AML who were included in CETLAM SMD-09 protocol, in which patients received HMA or intensive treatment according to age, comorbidities and cytogenetic. RESULTS: Unsupervised analysis of global methylation pattern at diagnosis did not allow patients to be differentiated according to the cytological subtype, cytogenetic groups, treatment response or patient outcome. However, after a supervised analysis we found a methylation signature defined by 200 probes, which allowed differentiating between patients responding and non-responding to azacitidine (AZA) treatment and a different methylation pattern also defined by 200 probes that allowed to differentiate patients according to their survival. On studying follow-up samples, we confirmed that AZA decreases global DNA methylation, but in our cohort the degree of methylation decrease did not correlate with the type of response. The methylation signature detected at diagnosis was not useful in treated samples to distinguish patients who were going to relapse or progress. CONCLUSIONS: Our findings suggest that in a subset of specific CpGs, altered DNA methylation patterns at diagnosis may be useful as a biomarker for predicting AZA response and survival.
Authors: Xabier Agirre; José Román-Gómez; Iria Vázquez; Antonio Jiménez-Velasco; Leire Garate; Cristina Montiel-Duarte; Paula Artieda; Lucia Cordeu; Idoya Lahortiga; María José Calasanz; Anabel Heiniger; Antonio Torres; John D Minna; Felipe Prósper Journal: Int J Cancer Date: 2006-04-15 Impact factor: 7.396
Authors: Pierre Fenaux; Ghulam J Mufti; Eva Hellstrom-Lindberg; Valeria Santini; Carlo Finelli; Aristoteles Giagounidis; Robert Schoch; Norbert Gattermann; Guillermo Sanz; Alan List; Steven D Gore; John F Seymour; John M Bennett; John Byrd; Jay Backstrom; Linda Zimmerman; David McKenzie; Cl Beach; Lewis R Silverman Journal: Lancet Oncol Date: 2009-02-21 Impact factor: 41.316
Authors: Andrew E Teschendorff; Francesco Marabita; Matthias Lechner; Thomas Bartlett; Jesper Tegner; David Gomez-Cabrero; Stephan Beck Journal: Bioinformatics Date: 2012-11-21 Impact factor: 6.937