Cancers (Jan 2023)

Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry

  • Claudia Sargas,
  • Rosa Ayala,
  • María José Larráyoz,
  • María Carmen Chillón,
  • Estrella Carrillo-Cruz,
  • Cristina Bilbao-Sieyro,
  • Esther Prados de la Torre,
  • David Martínez-Cuadrón,
  • Rebeca Rodríguez-Veiga,
  • Blanca Boluda,
  • Cristina Gil,
  • Teresa Bernal,
  • Juan Miguel Bergua,
  • Lorenzo Algarra,
  • Mar Tormo,
  • Pilar Martínez-Sánchez,
  • Elena Soria,
  • Josefina Serrano,
  • Juan Manuel Alonso-Domínguez,
  • Raimundo García-Boyero,
  • María Luz Amigo,
  • Pilar Herrera-Puente,
  • María José Sayas,
  • Esperanza Lavilla-Rubira,
  • Joaquín Martínez-López,
  • María José Calasanz,
  • Ramón García-Sanz,
  • José Antonio Pérez-Simón,
  • María Teresa Gómez-Casares,
  • Joaquín Sánchez-García,
  • Eva Barragán,
  • Pau Montesinos,
  • on behalf of PETHEMA group

DOI
https://doi.org/10.3390/cancers15020438
Journal volume & issue
Vol. 15, no. 2
p. 438

Abstract

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Next–Generation Sequencing (NGS) implementation to perform accurate diagnosis in acute myeloid leukemia (AML) represents a major challenge for molecular laboratories in terms of specialization, standardization, costs and logistical support. In this context, the PETHEMA cooperative group has established the first nationwide diagnostic network of seven reference laboratories to provide standardized NGS studies for AML patients. Cross–validation (CV) rounds are regularly performed to ensure the quality of NGS studies and to keep updated clinically relevant genes recommended for NGS study. The molecular characterization of 2856 samples (1631 derived from the NGS–AML project; NCT03311815) with standardized NGS of consensus genes (ABL1, ASXL1, BRAF, CALR, CBL, CEBPA, CSF3R, DNMT3A, ETV6, EZH2, FLT3, GATA2, HRAS, IDH1, IDH2, JAK2, KIT, KRAS, MPL, NPM1, NRAS, PTPN11, RUNX1, SETBP1, SF3B1, SRSF2, TET2, TP53, U2AF1 and WT1) showed 97% of patients having at least one mutation. The mutational profile was highly variable according to moment of disease, age and sex, and several co–occurring and exclusion relations were detected. Molecular testing based on NGS allowed accurate diagnosis and reliable prognosis stratification of 954 AML patients according to new genomic classification proposed by Tazi et al. Novel molecular subgroups, such as mutated WT1 and mutations in at least two myelodysplasia–related genes, have been associated with an adverse prognosis in our cohort. In this way, the PETHEMA cooperative group efficiently provides an extensive molecular characterization for AML diagnosis and risk stratification, ensuring technical quality and equity in access to NGS studies.

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