Publications by authors named "Dunbier A"

Background: Genome-wide measures of genetic disruption such as tumour mutation burden (TMB) and mutation signatures are emerging as useful biomarkers to stratify patients for treatment. Clinicians commonly use cancer gene panels for tumour mutation burden estimation, and whole genome sequencing is the gold standard for mutation signature analysis. However, the accuracy and cost associated with these assays limits their utility at scale.

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Background: Oestrogen receptor-positive (ER+) breast cancer is commonly treated using endocrine therapies such as aromatase inhibitors which block synthesis of oestradiol, but the influence of this therapy on the immune composition of breast tumours has not been fully explored. Previous findings suggest that tumour infiltrating lymphocytes and immune-related gene expression may be altered by treatment with aromatase inhibitors. However, whether these changes are a direct result of impacts on the host immune system or mediated through tumour cells is not known.

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Purpose: Inherited variants in the cancer susceptibility genes, BRCA1 and BRCA2 account for up to 5% of breast cancers. Multiple gene expression studies have analysed gene expression patterns that maybe associated with BRCA12 pathogenic variant status; however, results from these studies lack consensus. These studies have focused on the differences in population means to identified genes associated with BRCA1/2-carriers with little consideration for gene expression variability, which is also under genetic control and is a feature of cellular function.

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The Tribbles family of proteins-comprising TRIB1, TRIB2, TRIB3 and more distantly related STK40-play important, but distinct, roles in differentiation, development and oncogenesis. Of the four Tribbles proteins, TRIB1 has been most well characterised structurally and plays roles in diverse cancer types. The most well-understood role of TRIB1 is in acute myeloid leukaemia, where it can regulate C/EBP transcription factors and kinase pathways.

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Article Synopsis
  • - GWAS has found over 180 genetic variants linked to breast cancer risk, but their functional impacts remain unclear; the researchers propose that gene expression variability might highlight key susceptibility genes.
  • - The study conducted veQTL analysis using GTEx data, identifying 70 significant associations, with 55 specific to breast tissue, pointing to a connection between genetic variants and gene expression in breast cancer.
  • - Four key genes involved in hormone biosynthesis were found to have increased variability linked to a specific high-risk breast cancer allele (A/A) in the FTO gene, suggesting this genetic variant might disrupt hormonal regulation and increase breast cancer risk.
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The Tribbles family of pseudokinases recruits substrates to the ubiquitin ligase COP1 to facilitate ubiquitylation. CCAAT/enhancer-binding protein (C/EBP) family transcription factors are crucial Tribbles substrates in adipocyte and myeloid cell development. We found that the TRIB1 pseudokinase was able to recruit various C/EBP family members and that the binding of C/EBPβ was attenuated by phosphorylation.

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Background: Altered cellular metabolism is a hallmark of cancer but the association between utilisation of particular metabolic pathways in tumours and patient outcome is poorly understood. We sought to investigate the association between fatty acid metabolism and outcome in breast and other cancers.

Methods: Cox regression analysis and Gene Set Enrichment Analysis (GSEA) of a gene expression dataset from primary breast tumours with well annotated clinical and survival information was used to identify genesets associated with outcome.

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Hormone receptor-positive (HR) breast cancer is clinically and biologically heterogeneous, and subgroups with different prognostic and treatment sensitivities need to be identified. Research-based PAM50 subtyping and expression of additional genes was performed on 63 patients with HR/HER2 disease randomly assigned to neoadjuvant multiagent chemotherapy versus endocrine therapy in a phase II trial. The biology associated with treatment response was used to derive a PAM50-based chemoendocrine score (CES).

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Purpose: Aromatase inhibitors (AIs) have an established role in the treatment of breast cancer. Response rates are only 50% to 70% in the neoadjuvant setting and lower in advanced disease. Accurate biomarkers are urgently needed to predict response in these settings and to determine which individuals will benefit from adjuvant AI therapy.

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Article Synopsis
  • * The research involved profiling samples from 84 patients using various analyses, revealing nine genes whose amplification is linked to poor AI response, particularly highlighting the gene CHKA.
  • * The findings suggest that CHKA influences estrogen receptor-driven cancer processes and can potentially be explored further as a key player in resistance mechanisms against AIs.
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Introduction: Endocrine therapies target oestrogenic stimulation of breast cancer (BC) growth, but resistance remains problematic. Our aims in this study were (1) to identify genes most strongly associated with resistance to endocrine therapy by intersecting global gene transcription data from patients treated presurgically with the aromatase inhibitor anastrazole with those from MCF7 cells adapted to long-term oestrogen deprivation (LTED) (2) to assess the clinical value of selected genes in public clinical data sets and (3) to determine the impact of targeting these genes with novel agents.

Methods: Gene expression and Ki67 data were available from 69 postmenopausal women with oestrogen receptor-positive (ER+) early BC, at baseline and 2 weeks after anastrazole treatment, and from cell lines adapted to LTED.

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Purpose: Endocrine therapies include aromatase inhibitors and the selective estrogen receptor (ER) downregulator fulvestrant. This study aimed to determine whether the reported efficacy of fulvestrant over anastrozole, and high- over low-dose fulvestrant, reflect distinct transcriptional responses.

Experimental Design: Global gene expression profiles from ERα-positive breast carcinomas before and during presurgical treatment with fulvestrant (n = 22) or anastrozole (n = 81), and corresponding in vitro models, were compared.

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Purpose: To investigate potential associations between gene modules representing key biologic processes and response to aromatase inhibitors (AI) in estrogen receptor-positive (ER(+)) breast cancer.

Patients And Methods: Paired gene expression and Ki67 protein expression were available from 69 postmenopausal women with ER(+) early breast cancer, at baseline and 2 weeks post-anastrozole treatment, in the presurgical setting. Functional gene modules (n = 26) were retrieved from published studies and their module scores were computed before and after elimination of proliferation-associated genes (PAG).

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Article Synopsis
  • The study aims to assess the effectiveness of three different biomarkers (BCI, Oncotype DX, and IHC4) in predicting late recurrence risk in estrogen-receptor-positive breast cancer patients who participated in the ATAC trial.
  • It involved analyzing tumor samples from postmenopausal patients to evaluate the prognostic power of these biomarkers over a 10-year period, focusing on both early (0-5 years) and late (5-10 years) recurrences.
  • Results indicated significant differences in distant recurrence rates among BCI risk groups, highlighting the potential of these biomarkers in guiding extended adjuvant endocrine therapy decisions.
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Purpose: Risk of distant recurrence (DR) among women with estrogen receptor (ER) -positive early breast cancer is the major determinant of recommendations for or against chemotherapy. It is frequently estimated using the Oncotype DX recurrence score (RS). The PAM50 risk of recurrence (ROR) score provides an alternative approach, which also identifies intrinsic subtypes.

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Article Synopsis
  • Aromatase inhibitors are a key treatment for postmenopausal women with estrogen receptor-positive breast cancer, but responses to this therapy can differ significantly among patients, prompting research into the molecular reasons behind resistance.
  • A study analyzed gene expression in 112 women before and after a 2-week treatment with anastrozole, identifying over 1,300 genes that showed significant changes, particularly noting a downregulation of genes linked to cell proliferation and upregulation of inflammation-related genes.
  • The findings suggest that a higher baseline expression of inflammatory genes is linked to poorer responses to aromatase inhibitors, indicating the potential for these markers to serve as novel biomarkers and targets for improving treatment outcomes.
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Introduction: The majority of breast tumors at primary diagnosis are estrogen receptor positive (ER+). Estrogen (E) mediates its effects by binding to the ER. Therapies targeting the estrogenic stimulation of tumor growth reduce mortality from ER+ breast cancer.

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Most estrogen receptor α (ER)-positive breast cancers initially respond to antiestrogens, but many eventually become estrogen-independent and recur. We identified an estrogen-independent role for ER and the CDK4/Rb/E2F transcriptional axis in the hormone-independent growth of breast cancer cells. ER downregulation with fulvestrant or small interfering RNA (siRNA) inhibited estrogen-independent growth.

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The preoperative setting is increasingly popular for the clinical investigation of hormonal agents and new biological drugs. The effectiveness of endocrine agents is well established for estrogen receptor-positive disease, and the emphasis in preoperative studies is on their combination with agents targeted at resistance mechanisms over 3 or more months. New agents are also being assessed for early evidence of clinical efficacy in shorter-term window-of-opportunity studies.

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Although normal breast tissue and breast cancer estrogens are known to be elevated compared with plasma estrogen levels, the mechanism behind this phenomenon has been an issue of debate for 2 decades. If local estrogen aromatization were to be confirmed as the main estrogen source in breast cancer tissue, tissue-specific inhibition of estrogen production, avoiding systemic side effects, would become a potentially attractive option for breast cancer treatment and prevention. Based on recent results from our groups exploring tissue estrogens, together with estrogen-synthesizing and estrogen-regulated gene expression levels, we propose a new model to explain elevated breast tissue estrogen levels.

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Approximately 80% of human breast carcinomas present as oestrogen receptor α-positive (ER+ve) disease, and ER status is a critical factor in treatment decision-making. Recently, single nucleotide polymorphisms (SNPs) in the region immediately upstream of the ER gene (ESR1) on 6q25.1 have been associated with breast cancer risk.

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Aromatase inhibitors (AI) have improved the treatment of oestrogen receptor positive (ER+) breast cancer. Despite the efficacy of these agents over 40% of patients relapse with endocrine resistant disease. Here we describe an in vitro model of acquired resistance to long-term oestrogen deprivation (LTED).

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Considerable heterogeneity exists amongst oestrogen receptor positive (ER+ve) breast cancer in both its molecular profile and response to therapy. Attempts to better define variation amongst breast tumours have led to the definition of four main "intrinsic" subtypes of breast cancer with two of these classes, Luminal A and B, composed almost entirely of ER+ve cancers. In this study we set out to investigate the significance of intrinsic subtypes within a group of ER+ve breast cancers treated with neoadjuvant anastrozole.

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The contribution of local synthesis versus circulatory delivery of normal breast as well as breast cancer tissue estrogens has remained a controversial area for decades. Novel data on tissue estrogen levels confirm a positive normal breast tissue to plasma concentration gradient for estrone, and to a smaller extent estradiol. Remarkably, this gradient is similar for pre- and post-menopausal women.

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Purpose: Although most patients with estrogen receptor α (ER)-positive breast cancer initially respond to endocrine therapy, many ultimately develop resistance to antiestrogens. However, mechanisms of antiestrogen resistance and biomarkers predictive of such resistance are underdeveloped.

Experimental Design: We adapted four ER(+) human breast cancer cell lines to grow in an estrogen-depleted medium.

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