Publications by authors named "Lolita Lecompte"

Article Synopsis
  • The study examines the role of TERT, a subunit of telomerase, in high-grade cervical cancer, highlighting its activation linked to hypomethylation as a potential biomarker for disease progression.
  • Researchers analyzed 529 CpG sites in the TERT promoter region and related areas, discovering specific sites whose methylation patterns are significantly associated with genetic variants that increase cervical cancer risk.
  • Findings suggest that certain genetic variants are linked to lower levels of TERT and CLPTM1L mRNA, indicating a protective effect against cervical cancer, while HPV infection appears to increase levels of these genes.
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Concurrent chemoradiotherapy (CRT) with blockade of the PD-1 pathway may enhance immune-mediated tumor control through increased phagocytosis, cell death, and antigen presentation. The NiCOL phase 1 trial (NCT03298893) is designed to determine the safety/tolerance profile and the recommended phase-II dose of nivolumab with and following concurrent CRT in 16 women with locally advanced cervical cancer. Secondary endpoints include objective response rate (ORR), progression free survival (PFS), disease free survival, and immune correlates of response.

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Motivation: Studies on structural variants (SVs) are expanding rapidly. As a result, and thanks to third generation sequencing technologies, the number of discovered SVs is increasing, especially in the human genome. At the same time, for several applications such as clinical diagnoses, it is important to genotype newly sequenced individuals on well-defined and characterized SVs.

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The error rates of third-generation sequencing data have been capped >5%, mainly containing insertions and deletions. Thereby, an increasing number of diverse long reads correction methods have been proposed. The quality of the correction has huge impacts on downstream processes.

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Long-read sequencing currently provides sequences of several thousand base pairs. It is therefore possible to obtain complete transcripts, offering an unprecedented vision of the cellular transcriptome. However the literature lacks tools for de novo clustering of such data, in particular for Oxford Nanopore Technologies reads, because of the inherent high error rate compared to short reads.

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