Genomic imbalances analysis provides new insight into prognostic factors in adult and pediatric T-ALL

Given the poor outcome of refractory and relapsing T-ALL, identifying prognostic markers is still challenging. Using SNP-array analysis, we provide a comprehensive analysis of genomic imbalances in a cohort of 317 newly-diagnosed T-ALL patients including 135 children and 182 adults with respect to clinical and biological features and outcomes. SNP-array results identified at least one somatic genomic imbalance in virtually all T-ALL patients (~96%). Del(9)(p21) (~70%) and UPD(9)p21)/CDKN2A/B (~28%) were the most frequent genomic imbalances. Unexpectedly del(13q14)/RB1/DLEU1 (~14%) was the second more frequent CNV followed by del(6)(q15)/CASP8AP2 (~11%), del(1)(p33)/SIL-TAL1 (~11%), del(12)(p13)ETV6/CDKN1B (~9%), del(18)(p11)/PTPN2 (~9%), del(1)(p36)/RPL22 (~9%), and del(17)(q11)/NF1/SUZ12 (~8%). SNP-array also revealed distinct profiles of genomic imbalances according to age, immunophenotype, and oncogenetic subgroups. In particular, adult T-ALL patients demonstrated a significantly higher incidence of del(1)(p36)/RPL22, and del(13)(q14)/RB1/DLEU1, and lower incidence of del(9)(p21) and UPD(9p21)/CDKN2A/B. We determined a threshold of 15 genomic imbalances to stratify patients into high- and low-risk groups of relapse. Survival analysis also revealed the poor outcome, despite the low number of affected cases, conferred by the presence of chromothripsis (n=6, ~2%), del(16)(p13)/CREBBP (n=15, ~5%) as well as the newly identified recurrent gain at 6q27 involving MLLT4 (n=10, ~3%). Genomic complexity, del(16)(p13)/CREBBP and gain at 6q27 involving MLLT4 maintained their significance in multivariate analysis for survival outcome. Our study thus demonstrated that whole genome analysis of imbalances provides new insights to refine risk stratification in T-ALL.

TREC mediated oncogenesis in human immature T lymphoid malignancies preferentially involves ZFP36L2

The reintegration of excised signal joints resulting from human V(D)J recombination was described as a potent source of genomic instability in human lymphoid cancers. However, such molecular events have not been recurrently reported in clinical patient lymphoma/leukemia samples. Using a specifically designed NGS-capture pipeline, we here demonstrated the reintegration of T-cell receptor excision circles (TRECs) in 20/1533 (1.3%) patients with T-cell acute lymphoblastic leukemia (T-ALL) and T-cell lymphoblastic lymphoma (T-LBL). Remarkably, the reintegration of TREC recurrently targeted the tumor suppressor gene, ZFP36L2, in 17/20 samples. Thus, our data identified a new and hardly detectable mechanism of gene deregulation in lymphoid cancers providing new insights in human oncogenesis.

Clinico-biological features of T-cell acute lymphoblastic leukemia with fusion proteins

T-cell acute lymphoblastic leukemias (T-ALL) represent 15% of pediatric and 25% of adult ALL. Since they have a particularly poor outcome in relapsed/refractory cases, identifying prognosis factors at diagnosis is crucial to adapting treatment for high-risk patients. Unlike acute myeloid leukemia and BCP ALL, chromosomal rearrangements leading to chimeric fusion-proteins with strong prognosis impact are sparsely reported in T-ALL. To address this issue an RT-MPLA assay was applied to a consecutive series of 522 adult and pediatric T-ALLs and identified a fusion transcript in 20% of cases. PICALM-MLLT10 (4%, n = 23), NUP214-ABL1 (3%, n = 19) and SET-NUP214 (3%, n = 18) were the most frequent. The clinico-biological characteristics linked to fusion transcripts in a subset of 235 patients (138 adults in the GRAALL2003/05 trials and 97 children from the FRALLE2000 trial) were analyzed to identify their prognosis impact. Patients with HOXA trans-deregulated T-ALLs with MLLT10, KMT2A and SET fusion transcripts (17%, 39/235) had a worse prognosis with a 5-year EFS of 35.7% vs 63.7% (HR = 1.63; p = 0.04) and a trend for a higher cumulative incidence of relapse (5-year CIR = 45.7% vs 25.2%, HR = 1.6; p = 0.11). Fusion transcripts status in T-ALL can be robustly identified by RT-MLPA, facilitating risk adapted treatment strategies for high-risk patients.