Genomic Characterization of Paired Diagnosis and Relapse Samples from Adult Patients with B-Cell Precursor Acute Lymphoblastic Leukemia
Authors: Ribera Jordi , Mallo Mar , Zamora Lurdes , Solanes Neus , Vives Susana , Batlle Montserrat , Guàrdia Ramon , Mercadal Santiago , Escoda Lourdes , Nomdedeu Josep F. , Pratcorona Marta , Esteve Jordi , Martínez-López Joaquín , Tormo Mar , Sánchez Joaquín , Ruiz Rocío , Morán Erica , Cabezón Marta , Marcé Sílvia , Domínguez Diana , Granada Isabel , Juncà Jordi , Genescà Eulàlia , Millá Fuensanta , Feliu Evarist , Sole Francesc , Ribera Josep-Maria 
Published: October 2019

Abstract
Background & Objective:
Acute Lymphoblastic Leukemia (ALL) is an aggressive neoplasia characterized by a high genetic heterogeneity both at diagnosis and at relapse. Due to the high incidence of relapse in adults and the dismal prognosis beyond recurrence, diagnosis and relapse samples of adult ALL patients were carefully analyzed in order to identify genetic alterations related with drug resistance and disease progression.
Patients & Methods:
Paired diagnosis-relapse bone marrow samples from 5 adult B-cell precursor ALL (B-ALL) patients were analyzed (Ph+ ALL [n=2], normal karyotype [n=1], t(1;19)(q23;p13) [n=1] and t(8;13)(p21-22;q12) [n=1]). Copy Number Alterations (CNA) were studied with Multiplex Ligation-dependent Probe Amplification (MLPA, kits P-335 and P-202 from MRC-Holland, Amsterdam, Netherlands) and Affymetrix CytoScan HD arrays (Affymetrix, Santa Clara, USA). In the array analyses, only the CNA that encompassed at least 25 markers were considered significant.
Results:
Regarding karyotype, 2 patients (1 Ph+ and 1 t(1;19) at diagnosis) showed the same chromosomal translocations within a complex karyotype at relapse. On the contrary, the other Ph+ patient showed a normal karyotype at relapse, while 2 patients did not experience any karyotypic change. Regarding immunophenotype, 3/5 patients showed changes on antigen expression from diagnosis to relapse such as expression of markers of immaturity (CD34, TdT positivity and CD38 negativity), loss of lymphoid markers (CD20 and CD22) and/or acquisition of myeloid markers (CD33 and CD66c). Concerning CNA, all relapse samples were genetically related to the diagnosis clone (common clonal origin). All relapsed populations lost CNA detected at diagnosis and/or acquired new CNA but retained some of the CNA showed at diagnosis revealing clonal evolution from ancestral clones. CNA in B-ALL key genes involved in lymphoid development (IKZF1, PAX5, EBF1,VPREB1 and BLNK), proliferation (CDKN2A/B, RB1, CRLF2, C-MYC and ERG), apoptosis (BTG1, TP53 and ATM), hematopoiesis transcription factors (ETV6 and MLL) and histone modifications (KDM6A) were detected, among others. Losses in 9p were the most recurrent event both at diagnosis and at relapse. CDKN2A/B deletions were observed in all relapse samples (3/5 in homozygosis) while PAX5 deletions were present in 4/5 relapsed cases. Interestingly, all relapse samples showed CNA favoring the activation and/or the transcription of proteins involved in the Akt/C-MYC signaling pathway. Another common feature (4/5 patients) were CNA affecting genes involved in drug transport such as several ABC transporter genes and genes related to drug resistance such as PRKDC and RUNX1T1 (in 3/4 of the cases, the CNA appeared exclusively at relapse or were already present at diagnosis and increased their frequency at relapse). CNA in genes that may confer stem cell characteristics (EGR1 and USP16) were another recurrent event at relapse (3/5 samples, 2 of them were not present at diagnosis). CNA affecting the X/Y PAR1 region (CRLF2, CSF2RA and IL3RA) or VPREB1 at 22q11.22 were detected in 3/5 relapse samples, respectively. An important apoptosis cluster at 11q21q24.2 (BIRC2/3, CASP1/4/5/12, hsa-miR-34b/c, ATM and BTG4) was lost in 2/5 relapse samples (one of them was not detected at diagnosis and the other increased its frequency at relapse). Finally, ETV6 deletion (12p13.2) and duplication of Xq26.2q28 (containing ABCD1, BCAP31 and genes coding for several cancer/testis antigens) were observed in 2 relapse samples.
Conclusions:
SNP arrays analysis of paired B-cell precursor ALL samples at diagnosis and at relapse allows the identification of genetic alterations potentially related with ALL progression. The systematic analysis of relapse samples could contribute to the identification of specific genetic targets with potential therapeutic impact for each patient (personalized medicine).

Disclosures
Martínez-López: Novartis: Honoraria, Speakers Bureau. Sole:Celgene: Membership on an entity's Board of Directors or advisory committees.