Publications by authors named "Ludovica Marra"

High heterogeneity in clinical benefit characterizes the use of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC). We prospectively enrolled 113 advanced NSCLC patients treated with ICIs and performed liquid biopsy at the time of ICI start (T1), after 3 weeks (T2) and at the time of radiological evaluation (T3). Molecular variables were associated with outcome endpoints: cfDNA quantification, its dynamic change (∆T2-T1), variant allele frequency (VAF) of the gene with the highest frequency detected at baseline with NGS (maxVAF) and its dynamic change (∆T2-T1).

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Background: Genetic and metabolic heterogeneity are well-known features of cancer and tumors can be viewed as an evolving mix of subclonal populations, subjected to selection driven by microenvironmental pressures or drug treatment. In previous studies, anti-VEGF therapy was found to elicit rewiring of tumor metabolism, causing marked alterations in glucose, lactate ad ATP levels in tumors. The aim of this study was to evaluate whether differences in the sensitivity to glucose starvation existed at the clonal level in ovarian cancer cells and to investigate the effects induced by anti-VEGF therapy on this phenotype by multi-omics analysis.

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Article Synopsis
  • Immune checkpoint inhibitors have dramatically changed the way advanced non-small cell lung cancer is treated, but some patients see no benefits and can even suffer worse outcomes.
  • This study investigated how liquid biopsies of patients on these treatments can help identify those at risk for hyperprogression and early death.
  • Results showed that changes in cell-free DNA levels during treatment correlated with the risk of negative outcomes, suggesting that early liquid biopsy assessments could guide treatment decisions.
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Background: Molecular profiling of advanced mutated NSCLC has recently demonstrated the co-existence of multiple genetic alterations. Specifically, co-existing -mutations in NSCLCs have been described, despite their prevalence at progression and their role in the response to tyrosine kinase inhibitors (TKIs) remain marginally explored. Aim of our study was to investigate the prevalence of co-existing mutations at the time of progressive disease and explore their impact on clinical outcome.

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