AI Article Synopsis

  • Immune checkpoint inhibitors, especially anti-PD-1/PD-L1 antibodies, have shown significant effectiveness in lung cancer treatment for non-oncogene-driven cases, but the majority of patients do not respond.
  • Noninvasive biomarkers like circulating tumor DNA (ctDNA) in plasma are being investigated to predict responses to immunotherapy, monitor treatment resistance, and track cancer progression.
  • This review explores the clinical value of ctDNA as a predictive liquid biomarker during immunotherapy, highlights its potential in managing patients, and discusses the challenges involved in translating these findings into clinical practice.

Article Abstract

Immune checkpoint inhibitors (ICIs), especially anti-programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) antibodies, have made dramatic progress in the treatment of lung cancer, especially for patients with cancers not driven by oncogenes. However, responses are limited to a subset of patients, and which subset of patients will optimally benefit from ICI remains unknown. With the advantage of being minimally invasive and dynamic, noninvasive biomarkers are promising candidates to predict response, monitor resistance, and track the evolution of lung cancer during ICI treatment. In this review, we focus on the application of circulating tumor DNA (ctDNA) in plasma in immunotherapy. We examine the potential of pre- and on-treatment features of ctDNA as biomarkers, and following multiparameter analysis, we determine the potential clinical value of integrating predictive liquid biomarkers of ICIs to optimize patient management. We further discuss the role of ctDNA in monitoring treatment resistance, as well as challenges in clinical translation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963952PMC
http://dx.doi.org/10.3389/fonc.2022.836891DOI Listing

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