Publications by authors named "J P Hugnot"

Article Synopsis
  • The study aims to enhance understanding of tumor development in patients with Ollier disease (OD) and Maffucci syndrome (MS), focusing on IDH-mutated tumors and their origins.
  • It proposes that a single IDH-mutant cell could lead to various tumors due to early embryonic mutations and that not all mutated cells will display the IDH mutant characteristics.
  • Additionally, it suggests that specific genetic predispositions (SNPs) may increase the likelihood of developing particular tumors in these patients, linking developmental defects to tumor occurrence.
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Glioblastoma (GBM) poses significant challenges regarding complete tumor removal due to its heterogeneity and invasiveness, emphasizing the need for effective therapeutic options. In the last two decades, fluorescence-guided surgery (FGS), employing fluorophores such as 5-aminolevulinic acid (5-ALA) to enhance tumor delineation, has gained attraction among neurosurgeons. However, some low-grade tumors do not show any accumulation of the tracers, and the lack of patient stratification represents an important limitation.

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Article Synopsis
  • The blood-brain barrier (BBB) protects brain cells and complicates drug delivery; this study used single-cell mRNA sequencing to analyze cerebrovascular cells in glioma samples.
  • A total of 103,230 cells were sequenced, revealing that normal and lower-grade glioma cells had similar profiles, while glioblastoma (GBM) cells showed significant abnormalities.
  • The research identified LOXL2-related collagen changes as a GBM characteristic, and inhibiting LOXL2 improved chemotherapy effects in animal and human GBM models, offering insights for future brain health and treatment strategies.
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Article Synopsis
  • Single-cell transcriptomics reveals diverse cellular behavior, with a focus on the importance of cell cycle stages in human neural stem cells.
  • The ccAFv2 classifier categorizes cells into six distinct cell cycle states and a quiescent-like state, outperforming existing methods while offering flexibility and customizable classifications.
  • Demonstrated effectiveness across different cell types and species, ccAFv2 is accessible as an R package and a Python package, making it a valuable resource for analyzing complex biological data and understanding cellular dynamics.
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For the past two decades, the emerging role of the endothelin (ET) axis in cancer has been extensively investigated, and its involvement in several mechanisms described as "hallmarks of cancer" has clearly highlighted its potential as a therapeutic target. Despite the growing interest in finding effective anticancer drugs, no breakthrough treatment has successfully made its way to the market. Recently, our team reported the development of a new immuno-positron emission tomography probe targeting the ET A receptor (ET, one of the ET receptors) that allows the successful detection of ET glioblastoma, paving the way for the elaboration of novel antibody-based strategies.

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