Publications by authors named "J V Lyle"

Circulating tumor DNA (ctDNA) detection can predict clinical risk in early-stage tumors. However, clinical applications are constrained by the sensitivity of clinically validated ctDNA detection approaches. NeXT Personal is a whole-genome-based, tumor-informed platform that has been analytically validated for ultrasensitive ctDNA detection at 1-3 ppm of ctDNA with 99.

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BLOODPAC is a public-private consortium that develops best practices, coordinates clinical and translational research, and manages the BLOODPAC Data Commons to broadly support the liquid biopsy community and accelerate regulatory review to aid patient accessibility. BLOODPAC previously recommended 11 preanalytical minimal technical data elements (MTDEs) for BLOODPAC-sponsored studies and data submitted to BLOODPAC Data Commons. The current landscape analysis evaluates the overlap of the BLOODPAC MTDEs with current best practices, guidelines, and standards documents related to clinical and research liquid biopsy applications.

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Article Synopsis
  • PD-1 inhibitors show limited effectiveness on their own for treating hepatocellular carcinoma (HCC), but a new personalized therapeutic cancer vaccine (PTCV) may boost their efficacy by enhancing immune responses against tumors.
  • In a study, a DNA plasmid PTCV combined with pembrolizumab was tested on patients with advanced HCC; the treatment was found to be relatively safe with manageable side effects and showed a 30.6% objective response rate.
  • The study observed that patients with more neoantigens from the vaccine had better clinical responses, with immune profiling revealing a strong T cell response directed at tumor cells, supporting the vaccine's potential as a viable therapeutic approach.
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We describe the analytical validation of NeXT Personal, an ultra-sensitive, tumor-informed circulating tumor DNA (ctDNA) assay for detecting residual disease, monitoring therapy response, and detecting recurrence in patients diagnosed with solid tumor cancers. NeXT Personal uses whole genome sequencing of tumor and matched normal samples combined with advanced analytics to accurately identify up to ~1,800 somatic variants specific to the patient's tumor. A personalized panel is created, targeting these variants and then used to sequence cell-free DNA extracted from patient plasma samples for ultra-sensitive detection of ctDNA.

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