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Genomic alterations associated with pseudoprogression and hyperprogressive disease during anti-PD1 treatment for advanced non-small-cell lung cancer. | LitMetric

AI Article Synopsis

  • This study investigates the link between genetic mutations and disease progression types (PsPD vs. HPD) in advanced lung cancer patients undergoing immunotherapy.
  • Patients treated with anti-PD1 were analyzed using next-generation sequencing on blood samples collected before and after imaging progression.
  • Findings showed significant differences in genetic mutation profiles and monitoring methods, indicating that dynamic genome analysis can help differentiate between pseudoprogression and hyperprogressive disease, improving clinical treatment strategies.

Article Abstract

Introduction: This study aimed to elucidate the relationship between dynamic genomic mutation alteration and pseudoprogression (PsPD)/hyperprogressive disease (HPD) in immunotherapy-treated advanced non-small-cell lung cancer (NSCLC), to provide clinical evidence for identifying and distinguishing between PsPD and HPD.

Method: Patients with advanced NSCLC who were treated with anti-PD1 were enrolled. Whole blood was collected at baseline and post image progression. Serum was separated and sequenced using 425-panel next-generation sequencing analysis (NGS).

Results: NGS revealed that not only single gene mutations were associated with PsPD/HPD before treatment, dynamic monitoring of the whole-blood genome mutation spectrum also varied greatly. Mutational burden, allele frequency%, and relative circulating tumor DNA abundance indicated that the fold change after image progression was much higher in the HPD group.

Discussion: The gene mutation profiles of PsPD and HPD not only differed before treatment, but higher genome mutation spectrum post image progression indicated true disease progression in patients with HPD. This suggests that dynamic whole-genome mutation profile monitoring as NGS can distinguish PsPD from HPD more effectively than single gene detection, providing a novel method for guiding clinical immune treatment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667039PMC
http://dx.doi.org/10.3389/fonc.2023.1231094DOI Listing

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