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Sökning: WFRF:(Geraghty James)

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1.
  • Lanigan, Fiona, et al. (författare)
  • Delineating Transcriptional Networks of Prognostic Gene Signatures Refines Treatment Recommendations for Lymph Node-negative Breast Cancer Patients.
  • 2015
  • Ingår i: The FEBS Journal. - : Wiley. - 1742-464X. ; 282:18, s. 3455-3473
  • Tidskriftsartikel (refereegranskat)abstract
    • The majority of women diagnosed with lymph node-negative breast cancer are unnecessarily treated with damaging chemotherapeutics following surgical resection. This highlights the importance of understanding and more accurately predicting patient prognosis. Here, we define the transcriptional networks regulating well-established prognostic gene expression signatures. We find that the same set of transcriptional regulators consistently lie upstream of both 'prognosis' and 'proliferation' gene signatures, suggesting that a central transcriptional network underpins a shared phenotype within these signatures. Strikingly, the master transcriptional regulators within this network predict recurrence risk for lymph node-negative breast cancer better than currently used multi-gene prognostic assays, particularly in lymph node-negative, estrogen receptor-positive patients. Simultaneous examination of p16(INK) (4A ) expression, which predicts tumors that have bypassed cellular senescence, revealed that intermediate levels of p16(INK) (4A) correlate with an intact pRB pathway and improved survival. A combination of these master transcriptional regulators and p16(INK) (4A) , termed the OncoMasTR score, stratifies tumours based on their proliferative and senescence capacity, facilitating a clearer delineation of lymph node-negative breast cancer patients at high risk of recurrence, and thus requiring chemotherapy. Furthermore, OncoMasTR accurately classifies over 60% of patients as 'low risk', an improvement on existing prognostic assays, which has the potential to reduce overtreatment in early-stage patients. Taken together, this study provides new insights into the transcriptional regulation of cellular proliferation in breast cancer and provides an opportunity to enhance and streamline breast cancer prognosis. This article is protected by copyright. All rights reserved.
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2.
  • Mefford, Heather C, et al. (författare)
  • Rare copy number variants are an important cause of epileptic encephalopathies
  • 2011
  • Ingår i: Annals of Neurology. - : Wiley. - 0364-5134 .- 1531-8249. ; 70:6, s. 974-985
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE:Rare copy number variants (CNVs)-deletions and duplications-have recently been established as important risk factors for both generalized and focal epilepsies. A systematic assessment of the role of CNVs in epileptic encephalopathies, the most devastating and often etiologically obscure group of epilepsies, has not been performed.METHODS:We evaluated 315 patients with epileptic encephalopathies characterized by epilepsy and progressive cognitive impairment for rare CNVs using a high-density, exon-focused, whole-genome oligonucleotide array.RESULTS:We found that 25 of 315 (7.9%) of our patients carried rare CNVs that may contribute to their phenotype, with at least one-half being clearly or likely pathogenic. We identified 2 patients with overlapping deletions at 7q21 and 2 patients with identical duplications of 16p11.2. In our cohort, large deletions were enriched in affected individuals compared to controls, and 4 patients harbored 2 rare CNVs. We screened 2 novel candidate genes found within the rare CNVs in our cohort but found no mutations in our patients with epileptic encephalopathies. We highlight several additional novel candidate genes located in CNV regions.INTERPRETATION:Our data highlight the significance of rare CNVs in the epileptic encephalopathies, and we suggest that CNV analysis should be considered in the genetic evaluation of these patients. Our findings also highlight novel candidate genes for further study.
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3.
  • Zhao, Lue Ping, et al. (författare)
  • Association of HLA-DQ Heterodimer Residues -18β and β57 With Progression From Islet Autoimmunity to Diabetes in the Diabetes Prevention Trial-Type 1
  • 2022
  • Ingår i: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 45:7, s. 1610-1620
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE: The purpose was to test the hypothesis that the HLA-DQαβ heterodimer structure is related to the progression of islet autoimmunity from asymptomatic to symptomatic type 1 diabetes (T1D).RESEARCH DESIGN AND METHODS: Next-generation targeted sequencing was used to genotype HLA-DQA1-B1 class II genes in 670 subjects in the Diabetes Prevention Trial-Type 1 (DPT-1). Coding sequences were translated into DQ α- and β-chain amino acid residues and used in hierarchically organized haplotype (HOH) association analysis to identify motifs associated with diabetes onset.RESULTS: The opposite diabetes risks were confirmed for HLA DQA1*03:01-B1*03:02 (hazard ratio [HR] 1.36; P = 2.01 ∗ 10-3) and DQA1*03:03-B1*03:01 (HR 0.62; P = 0.037). The HOH analysis uncovered residue -18β in the signal peptide and β57 in the β-chain to form six motifs. DQ*VA was associated with faster (HR 1.49; P = 6.36 ∗ 10-4) and DQ*AD with slower (HR 0.64; P = 0.020) progression to diabetes onset. VA/VA, representing DQA1*03:01-B1*03:02 (DQ8/8), had a greater HR of 1.98 (P = 2.80 ∗ 10-3). The DQ*VA motif was associated with both islet cell antibodies (P = 0.023) and insulin autoantibodies (IAAs) (P = 3.34 ∗ 10-3), while the DQ*AD motif was associated with a decreased IAA frequency (P = 0.015). Subjects with DQ*VA and DQ*AD experienced, respectively, increasing and decreasing trends of HbA1c levels throughout the follow-up.CONCLUSIONS: HLA-DQ structural motifs appear to modulate progression from islet autoimmunity to diabetes among at-risk relatives with islet autoantibodies. Residue -18β within the signal peptide may be related to levels of protein synthesis and β57 to stability of the peptide-DQab trimolecular complex.
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4.
  • Glasbey, JC, et al. (författare)
  • 2021
  • swepub:Mat__t
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