AI 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.

Article Abstract

Background: Immune checkpoint inhibitors (ICIs) have revolutionised treatment of advanced non-small cell lung cancer (aNSCLC), but a proportion of patients had no clinical benefit and even experienced detrimental effects. This study aims to characterise patients experiencing hyperprogression (HPD) and early death (ED) by longitudinal liquid biopsy.

Methods: aNSCLC receiving ICIs were prospectively enrolled. Plasma was collected at baseline (T1) and after 3/4 weeks of treatment, according to the treatment schedule (T2). Cell-free DNA (cfDNA) was quantified and analysed by NGS. cfDNA quantification and variant allele fraction (VAF) of tumour-associated genetic alterations were evaluated for their potential impact on outcome. The genetic alteration with the highest VAF (maxVAF) at baseline was considered as a reference.

Results: From March 2017 to August 2019, 171 patients were enrolled. Five cases matched criteria for HPD and 31 ED were recorded; one overlapped. Quantification of cfDNA at T2 and its absolute and relative variation (T2-T1) were significantly associated with the risk of ED (P = 0.012, P = 0.005, P = 0.009). MaxVAF relative change (T2-T1/T1) was significantly associated with the risk of HPD (P = 0.02). After identifying optimal cut-off values, a two-step risk assessment model was proposed.

Discussion: Liquid biopsy performed early during treatment has the potential to identify patients at high risk of ED and HPD.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681746PMC
http://dx.doi.org/10.1038/s41416-022-01978-1DOI Listing

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