Publications by authors named "Marie de Tayrac"

Article Synopsis
  • MRD monitoring is essential for managing blood cancers, and while traditional methods use specific molecular targets, new research identifies additional fusion transcripts as potential markers for MRD.
  • A study compared a focused RNA-seq method (FusionPlex) with a comprehensive RNA-seq approach (Advanta RNA-Seq XT) and found both methods had 100% agreement in detecting known fusions and good correlation in gene expression levels.
  • In a trial with 126 patients, the targeted RNA-seq identified fusion transcripts in nearly half of the cases, leading to the development of specialized digital PCR tests for rare fusions, suggesting a potential shift in MRD evaluation techniques.
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Objectives: The main objective of this study was to evaluate how an apparently minor anomaly of the sphenoid bone, observed in a haploinsufficient mouse model for Sonic Hedgehog (Shh), affects the growth of the adult craniofacial region. This study aims to provide valuable information to orthodontists when making decisions regarding individuals carrying SHH mutation.

Materials And Methods: The skulls of embryonic, juvenile and adult mice of two genotypes (Shh heterozygous and wild type) were examined and measured using landmark-based linear dimensions.

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Purpose: DISP1 encodes a transmembrane protein that regulates the secretion of the morphogen, Sonic hedgehog, a deficiency of which is a major cause of holoprosencephaly (HPE). This disorder covers a spectrum of brain and midline craniofacial malformations. The objective of the present study was to better delineate the clinical phenotypes associated with division transporter dispatched-1 (DISP1) variants.

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Article Synopsis
  • BRCA1 and BRCA2 genes are essential for repairing DNA damage, and their mutations can predict how sensitive high-grade ovarian cancer (HGOC) is to certain treatments, but current testing methods are expensive and slow.
  • This study introduces a deep learning classifier that predicts BRCA mutations using whole slide images of HGOC, developed from a substantial patient cohort, and shows promise in increasing efficiency and accuracy in testing.
  • The classifier achieved high performance metrics, suggesting that it can effectively detect phenotypic changes linked to BRCA mutations, making it a potential prescreening tool for future use.
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Background: Low miR-31-3p expression was identified as predictive of anti-EGFR efficacy in RAS-wt mCRC. Primary tumor side was also proposed as a predictive factor of anti-EGFR benefit. This retrospective multicentric study evaluated the predictive role of miR-31-3p in right-sided RAS-wt mCRC patients treated with first-line CT+anti-EGFR or CT+bevacizumab (Beva).

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Background: Artificial intelligence (AI) has the potential to transform our healthcare systems significantly. New AI technologies based on machine learning approaches should play a key role in clinical decision-making in the future. However, their implementation in health care settings remains limited, mostly due to a lack of robust validation procedures.

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The microphthalmia-associated transcription factor (MITF) is a critical regulator of melanocyte development and differentiation. It also plays an important role in melanoma where it has been described as a molecular rheostat that, depending on activity levels, allows reversible switching between different cellular states. Here, we show that MITF directly represses the expression of genes associated with the extracellular matrix (ECM) and focal adhesion pathways in human melanoma cells as well as of regulators of epithelial-to-mesenchymal transition (EMT) such as CDH2, thus affecting cell morphology and cell-matrix interactions.

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Chronic intestinal pseudoobstruction (CIPO) is a severe form of intestinal dysmotility, and patients often undergo iterative abdominal surgeries and require parenteral nutrition. Several genes are known to be responsible for this pathology, including (autosomal dominant) and (autosomal recessive) We report the first case of unexpected trio medical exome sequencing diagnosis of mucopolysaccharidosis type I (MPS-I) in a patient with an early CIPO. There was no clinical suspicion of MPS-I at the time of the prescription.

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Synonymous single nucleotide variants (sSNVs) have been implicated in various genetic disorders through alterations of pre-mRNA splicing, mRNA structure and miRNA regulation. However, their impact on synonymous codon usage and protein translation remains to be elucidated in clinical context. Here, we explore the functional impact of sSNVs in the Sonic Hedgehog (SHH) gene, identified in patients affected by holoprosencephaly, a congenital brain defect resulting from incomplete forebrain cleavage.

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Context: In human, Sonic hedgehog (SHH) haploinsufficiency is the predominant cause of holoprosencephaly, a structural malformation of the forebrain midline characterized by phenotypic heterogeneity and incomplete penetrance. The NOTCH signaling pathway has recently been associated with holoprosencephaly in humans, but the precise mechanism involving NOTCH signaling during early brain development remains unknown.

Objective: The aim of this study was to evaluate the relationship between SHH and NOTCH signaling to determine the mechanism by which NOTCH dysfunction could cause midline malformations of the forebrain.

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Background: With the development of precision oncology, Molecular Tumor Boards (MTB) are developing in many institutions. However, the implementation of MTB in routine clinical practice has still not been thoroughly studied.

Material And Methods: Since the first drugs approved for targeted therapies, patient tumor samples were centralized to genomic testing platforms.

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The genetic etiology of childhood cancers still remains largely unknown. It is therefore essential to develop novel strategies to unravel the spectrum of pediatric cancer genes. Statistical network modeling techniques have emerged as powerful methodologies for enabling the inference of gene-disease relationship and have been performed on adult but not pediatric cancers.

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Article Synopsis
  • * Traditional genetic testing has low success rates in diagnosing this condition, leading to numerous unsolved cases, prompting a study on the potential for multiple genetic mutations (oligogenic inheritance) contributing to the disorder.
  • * The research analyzed 26 families with unresolved holoprosencephaly and identified significant genetic variants linked to critical pathways in brain development, indicating that oligogenic combinations are more common in these patients than in control groups, suggesting a new avenue for understanding the condition.
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Background: Glioblastoma (GB) is the most common and aggressive tumor of the brain. Genotype-based approaches and independent analyses of the transcriptome or the proteome have led to progress in understanding the underlying biology of GB. Joint transcriptome and proteome profiling may reveal new biological insights, and identify pathogenic mechanisms or therapeutic targets for GB therapy.

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Article Synopsis
  • Holoprosencephaly (HPE) is a complicated genetic disorder affecting the forebrain, showing diverse phenotypes and genetic variations.
  • Initially considered an autosomal dominant condition, newer research reveals that HPE's inheritance is more intricate than previously thought.
  • This review highlights significant genetic research from a large European cohort and focuses on oligogenic inheritance patterns, which are crucial for better genetic counseling.
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Objective: To study the presence of 9p deletion and p16, cyclin D1 and Myc expression and their respective diagnostic and prognostic interest in oligodendrogliomas.

Methods: We analyzed a retrospective series of 40 consecutive anaplastic oligodendrogliomas (OIII) from a single institution and compared them to a control series of 10 low grade oligodendrogliomas (OII). Automated FISH analysis of chromosome 9p status and immunohistochemistry for p16, cyclin D1 and Myc was performed for all cases and correlated with clinical and histological data, event free survival (EFS) and overall survival (OS).

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Background: Lung cancer represents the leading cause of cancer-related death worldwide. Despite great advances in lung cancer management with the recent emergence of molecular targeted therapies for non-squamous non-small-cell lung cancer, no dramatic improvements have been achieved in lung squamous cell carcinoma (SCC). Mutations in discoidin domain receptor 2 (DDR2) gene were recently identified as promising molecular targets in this histology.

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Objective: To study the feasibility and the diagnostic and prognostic interest of automated analysis of 1p, 19q, 9p and 10q status by FISH technique in oligodendroglial tumors.

Methods: We analyzed a retrospective series of 33 consecutive gliomas with oligodendroglial histology (originally diagnosed as 24 oligodendrogliomas and 9 oligoastrocytomas). For all cases, automated FISH analysis of 1p, 19q, 9p and 10q status were performed and compared to clinical and histological data, ATRX, IDH1R132H and alpha-internexin status (studied by immunohistochemistry) and overall survival (OS).

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Article Synopsis
  • Holoprosencephaly (HPE) is the leading congenital brain defect, resulting from improper forebrain development and linked to facial deformities, with significant variability in its clinical presentation and genetic causes.
  • A targeted next-generation sequencing study of 257 HPE patients revealed that about 24% had harmful mutations, while 10% had variants with unclear impacts, advancing our understanding of HPE genetics.
  • The research identified major genes associated with HPE, including SHH, ZIC2, and SIX3, and highlighted the importance of fibroblast growth factor signaling in the condition, suggesting that multiple genetic factors may contribute to its inheritance.
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Objective: To propose a new algorithm facilitating automated analysis of 1p and 19q status by FISH technique in oligodendroglial tumors with software packages available in the majority of institutions using this technique.

Methods: We documented all green/red (G/R) probe signal combinations in a retrospective series of 53 oligodendroglial tumors according to literature guidelines (Algorithm 1) and selected only the most significant combinations for a new algorithm (Algorithm 2). This second algorithm was then validated on a prospective internal series of 45 oligodendroglial tumors and on an external series of 36 gliomas.

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Iron is reported to interact with other metals. In addition, it has been shown that genetic background may impact iron metabolism. Our objective was to characterize, in mice of three genetic backgrounds, the links between iron and several non-iron metals.

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Glioblastoma (GB) is a highly invasive primary brain tumor that almost systematically recurs despite aggressive therapies. One of the most challenging problems in therapy of GB is its extremely complex and heterogeneous molecular biology. To explore this heterogeneity, we performed a genome-wide integrative screening of three molecular levels: genome, transcriptome, and methylome.

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