Combination Treatment of p53-Null HL-60 cells with Histone Deacetylase Inhibitors and Chlorambucil Augments Apoptosis and Increases BCL6 and p21 Gene Expression.

BACKGROUND: Treatment of hematological malignancies with conventional DNA-damaging drugs, such as chlorambucil (CLB), commonly results in p53-dependent chemo-resistance. Chromatin modifying agents, such as histone deacetylase inhibitors (HDACIs), sodium butyrate (NaBu) and trichostatin A (TSA), may reverse chemo-resistance by modulating the activity of chromatin remodeling enzymes and/or genes that control cell proliferation, differentiation and survival. OBJECTIVE: This study examined the potential use of HDACIs and CLB combination therapies in an in vitro chemo-resistant leukemia model. METHODS: The p53-null promyelocytic leukemia cell line, HL60, was used as an in vitro model of chemo-resistant leukemia. Drug cytotoxicity was determined by tetrazolium salt-based colorimetric assays and Annexin V/propidium iodide staining (flow cytometry). The level of mRNA expression of the chromatin modifying genes was measured by quantitative real-time PCR. RESULTS: Micromolar concentrations of CLB combined with either NaBu or TSA triggered synergistic cytotoxic effects in HL-60 cells (p < 0.001). The effects of the combination treatments resulted in upregulated p21 gene expression (up to 59-fold; p<0.001) that preceded an increase in BCL6 gene expression (up to 20-fold; p < 0.001). Statistically significant but smaller magnitude changes (≤ 2-fold; p <0.05) were noted in the expression of other genes studied regardless of the treatment type. CONCLUSION: The combination treatment of p53-null HL-60 cells with DNA-damaging agent CLB and HDACIs NaBu and TSA triggered additive to synergistic effects on apoptosis and upregulated BCL6 and p21 expression. These findings reveal BCL6 and p21 as potential targets of chemo-resistance for the development of anti-leukemic drugs.

Is RNASEL:p.Glu265* a modifier of early-onset breast cancer risk for carriers of high-risk mutations?

BACKGROUND: Breast cancer risk for BRCA1 and BRCA2 pathogenic mutation carriers is modified by risk factors that cluster in families, including genetic modifiers of risk. We considered genetic modifiers of risk for carriers of high-risk mutations in other breast cancer susceptibility genes. METHODS: In a family known to carry the high-risk mutation PALB2:c.3113G>A (p.Trp1038*), whole-exome sequencing was performed on germline DNA from four affected women, three of whom were mutation carriers. RESULTS: RNASEL:p.Glu265* was identified in one of the PALB2 carriers who had two primary invasive breast cancer diagnoses before 50 years. Gene-panel testing of BRCA1, BRCA2, PALB2 and RNASEL in the Australian Breast Cancer Family Registry identified five carriers of RNASEL:p.Glu265* in 591 early onset breast cancer cases. Three of the five women (60%) carrying RNASEL:p.Glu265* also carried a pathogenic mutation in a breast cancer susceptibility gene compared with 30 carriers of pathogenic mutations in the 586 non-carriers of RNASEL:p.Glu265* (5%) (p < 0.002). Taqman genotyping demonstrated that the allele frequency of RNASEL:p.Glu265* was similar in affected and unaffected Australian women, consistent with other populations. CONCLUSION: Our study suggests that RNASEL:p.Glu265* may be a genetic modifier of risk for early-onset breast cancer predisposition in carriers of high-risk mutations. Much larger case-case and case-control studies are warranted to test the association observed in this report.

A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density.

INTRODUCTION: Mammographic density is an established breast cancer risk factor with a strong genetic component and can be increased in women using menopausal hormone therapy (MHT). Here, we aimed to identify genetic variants that may modify the association between MHT use and mammographic density. METHODS: The study comprised 6,298 postmenopausal women from the Mayo Mammography Health Study and nine studies included in the Breast Cancer Association Consortium. We selected for evaluation 1327 single nucleotide polymorphisms (SNPs) showing the lowest P-values for interaction (P int) in a meta-analysis of genome-wide gene-environment interaction studies with MHT use on risk of breast cancer, 2541 SNPs in candidate genes (AKR1C4, CYP1A1-CYP1A2, CYP1B1, ESR2, PPARG, PRL, SULT1A1-SULT1A2 and TNF) and ten SNPs (AREG-rs10034692, PRDM6-rs186749, ESR1-rs12665607, ZNF365-rs10995190, 8p11.23-rs7816345, LSP1-rs3817198, IGF1-rs703556, 12q24-rs1265507, TMEM184B-rs7289126, and SGSM3-rs17001868) associated with mammographic density in genome-wide studies. We used multiple linear regression models adjusted for potential confounders to evaluate interactions between SNPs and current use of MHT on mammographic density. RESULTS: No significant interactions were identified after adjustment for multiple testing. The strongest SNP-MHT interaction (unadjusted P int <0.0004) was observed with rs9358531 6.5kb 5' of PRL. Furthermore, three SNPs in PLCG2 that had previously been shown to modify the association of MHT use with breast cancer risk were found to modify also the association of MHT use with mammographic density (unadjusted P int <0.002), but solely among cases (unadjusted P int SNP×MHT×case-status <0.02). CONCLUSIONS: The study identified potential interactions on mammographic density between current use of MHT and SNPs near PRL and in PLCG2, which require confirmation. Given the moderate size of the interactions observed, larger studies are needed to identify genetic modifiers of the association of MHT use with mammographic density.