Background: Chromosome 14q32 rearrangements involving the immunoglobulin heavy chain gene (IGH) affect less than 5% of chronic lymphocytic leukemia (CLL) patients. Their clinical course is aggressive and the outcome, worse than other CLL subtypes (Cavazzini et al, 2008; Gerrie et al, 2012). However, the biology of CLL showing IGH rearrangements (CLL-IGHR) is not completely defined. The identification of novel recurrent mutations in CLL by next generation-sequencing (NGS) has offered a more comprehensive view into the genomic landscape of the disease and improved the prognostication of CLL. Thus, mutational analysis might be especially useful in those patients with uncertain prognosis, such as those carrying IGH rearrangements. Aim: To analyze the mutational profile of CLL-IGHR patients by targeted NGS in order to improve our understanding of the genetic underpinnings of this subgroup. Methods: The study was based on 899 CLL patients, well characterized at cytogenetic, biological and clinical level, forty-two of them (4.7%) showing IGH rearrangements. Targeted NGS was performed in 231 CLL samples: 117 with 13q deletion, 27 with 11q deletion, 26 trisomy 12, 42 showing IGH rearrangements and the remaining 19 without any cytogenetic alteration. CD19+ B cells were isolated and DNA extracted. SureSelectQXT targeted enrichment technology and a custom-designed panel (MiSeq, Illumina), including 54 CLL-related and recurrent mutated genes, was carried out. The panel yielded 100x or greater coverage on 97% of the genomic regions of interest and the mean coverage obtained was 600x. Mutations were detected down to 3% allele frequency. Results: The mutational analysis of CLL-IGHR patients identified a total of 72 mutations in 32 genes. Seventy-one percent of patients (30/42) harbored at least one mutation. The most frequently mutated genes in this cohort were NOTCH1 (28.6%), POT1 (14.3%), TP53 (9.5%), SF3B1 (7%), BRAF (7%), EGR2 (7%), IGLL5 (7%) and MGA (7%), followed by BCL2, HIST1H1E and FBXW7 (4.8%), uncommonly mutated genes in CLL at these frequencies (Table 1). In fact, mutations in NOTCH1, BRAF, EGR2, BCL2, HIST1H1E and FBXW7 were significantly associated with CLL-IGHR patients (p=0.013, p=0.003, p=0.021, p=0.038, p=0.038 and p=0.021 respectively). In terms of time to the first therapy (TFT), CLL-IGHR had an intermediate-negative impact (median TFT=24 months) compared to the presence of cytogenetic alterations associated with good prognosis such as 13q deletions (median TFT>120 months; p<0.0001) (Figure 1A). Furthermore, the presence of mutations in the most frequently mutated genes (NOTCH1, POT1, TP53, SF3B1 or BRAF) within patients with IGH rearrangements had a negative clinical impact in the TFT and allowed us to refine the prognosis of this subgroup. Thus, the median TFT of patients with mutations was 1 month while the median TFT of patients without mutations was 14 months (p=0.014) (Figure 1B). A total of 17 out of 42 CLL-IGHR patients (40.5%) carried the t(14;18). Interestingly, patients with t(14;18) were characterized by: 1) A lower mutation frequency (average of mutations/patient=1.05) than the rest of rearrangements with unknown partners (average=2.16; p=0.039), and 2) The presence of mutations in BCL2 (11%) and HIST1H1E (11%). By contrast, CLL-IGHR without BCL2 rearrangement showed mutations in POT1 (20%), TP53 (16%), SF3B1 (12%) and BRAF (12%). Moreover, t(14;18) was significantly associated with good prognosis markers such as the mutated status of the variable region of the immunoglobulin genes (IGHV-M) (p=0.002). However, there was no significant difference in terms of TFT between patients with t(14;18) and patients with other IGH rearrangements (p=0.27). Conclusions: CLL patients with IGH rearrangements showed: i. A high gene mutation frequency; ii. A distinct mutational profile, with recurrent mutations in POT1, EGR2, BRAF, IGLL5 and MGA genes; iii. An adverse clinical outcome refined by the negative effect of genetic mutations. iv. Patients with t(14;18) presented a lower mutation frequency than the rest of rearrangements, carrying mutations in BCL2 and HIST1H1E, and associated with good-prognosis markers such as IGHV-M. Funding:PI15/01471; CIBERONC CB16/12/00233; FEHH-Janssen(MHS); JCyL(MQÁ) Disclosures Mateos: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees.
Chronic lymphocytic leukemia (CLL) patients harboring 11q22.3 deletion, del(11q), are characterized by a rapid disease progression. One of the suggested genes to be involved in the pathogenesis of this deletion is BIRC3, a negative regulator of NF-κB, which is monoallelically deleted in ~80% of del(11q) CLL cases. In addition, truncating mutations in the remaining allele of this gene can lead to BIRC3 biallelic inactivation, which accounts for marked reduced survival in CLL. Nevertheless, the biological mechanisms by which monoallelic or biallelic BIRC3 lesions could contribute to del(11q) CLL pathogenesis, progression and therapy response are partially unexplored. We used the CRISPR/Cas9 system to model monoallelic and biallelic BIRC3 loss in vitro. First, we generated an isogenic HG3 CLL cell line harboring monoallelic del(11q) - HG3-del(11q) - by the introduction of 2 guide RNAs targeting 11q22.1 and 11q23.3 (~17 Mb). Loss-of-function BIRC3 mutations (MUT) were introduced in the remaining allele, generating 3 HG3-del(11q) BIRC3MUT clones. In addition, single BIRC3MUT were introduced in HG3 and MEC1 CLL-derived cells for experimental validation (n = 3 clones/cell line). We first questioned whether monoallelic and biallelic BIRC3 loss had an impact in the DNA-binding activity of NF-κB transcription factors. Interestingly, HG3-del(11q) had higher p52 and RelB (non-canonical NF-κB signaling) activity than HG3WT cells (P = 0.005; P = 0.007), being this activity further increased in HG3-del(11q) BIRC3MUT cells (P < 0.001; P < 0.001). In depth analysis of the non-canonical signaling components by immunoblot revealed that HG3-del(11q) and, to a greater extent, HG3-del(11q) BIRC3MUT cells presented NF-κB-inducing kinase (NIK) cytoplasmic stabilization, high p-IKKα levels and p52-RelB nuclear translocation. Besides, HG3-del(11q) BIRC3MUT cells showed increased levels of the anti-apoptotic proteins BCL2 and BCL-xL. We next assessed this pathway ex vivo in stroma and CpG-stimulated primary CLL cells with or without BIRC3 deletion (n = 22; 11 each group). Remarkably, stimulated BIRC3-deleted primary cells showed higher p52 and RelB activity than BIRC3WT cases (P = 0.01; P = 0.07), and the percentage of BIRC3-deleted cells correlated with p52 activity in del(11q) cases (P = 0.04). We further performed western blot analyses in a homogenous cohort of del(11q) cases including (n = 4) or not including (n = 3) BIRC3 within the deleted region. Interestingly, del(11q)/BIRC3 deleted cases presented high levels of stabilized NIK, which correlated with higher p52 processing (P = 0.003). These patients also showed higher BCL2 levels than those del(11q)/BIRC3 undeleted, and we could further observe a correlation between p52 and BCL2 levels (P = 0.01). Given this p52-dependent BCL2 upregulation, we treated the CRISPR/Cas9 edited clones with venetoclax, demonstrating that HG3-del(11q) BIRC3MUT cells were more sensitive upon BCL2 inhibition than HG3WT clones (mean IC50 3.5 vs. 5.75 μM; P = 0.005). In vitro proliferation assays were performed to interrogate the impact of BIRC3 loss in CLL cell growth, revealing that HG3 BIRC3MUT cell lines had higher growth rates than BIRC3WT cells (P = 0.001). HG3-del(11q) BIRC3MUT cells also showed enhanced proliferation in comparison to HG3-del(11q) clones (P = 0.009). We further determined the clonal dynamics of del(11q) and/or BIRC3MUT cell lines in clonal competition experiments, showing that HG3 BIRC3MUT and HG3-del(11q) BIRC3MUT cells progressively outgrew HG3WT and HG3-del(11q) cells, respectively, overtime (P = 0.02; P = 0.006). Furthermore, we injected these edited cell lines into NSG mice (n = 20) in vivo, showing that mice xenografted with HG3 BIRC3MUT and HG3-del(11q) BIRC3MUT cells presented, by flow cytometry, an increase of human CD45+ cells in spleen 14 days after injection, compared to HG3WT and HG3-del(11q) cells (P = 0.02; P = 0.015). In summary, this work demonstrates that biallelic BIRC3 deletion through del(11q) and mutation triggers non-canonical NF-κB signaling, driving BCL2 overexpression and conferring clonal advantage, which could account for the negative predictive impact of BIRC3 biallelic inactivation in CLL. Taken together, our results suggest that del(11q) CLL patients harboring BIRC3 mutations should be considered as a CLL subgroup at a high risk of progression that might benefit from venetoclax-based therapies. Funding: PI18/01500 Disclosures No relevant conflicts of interest to declare.
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