Scientific Reports (Oct 2024)

Evaluation of blood MSI burden dynamics to trace immune checkpoint inhibitor therapy efficacy through the course of treatment

  • Egor Veselovsky,
  • Alexandra Lebedeva,
  • Olesya Kuznetsova,
  • Daria Kravchuk,
  • Ekaterina Belova,
  • Anastasia Taraskina,
  • Tatiana Grigoreva,
  • Alexandra Kavun,
  • Victoria Yudina,
  • Laima Belyaeva,
  • Vladislav Nikulin,
  • Vladislav Mileyko,
  • Alexey Tryakin,
  • Mikhail Fedyanin,
  • Maxim Ivanov

DOI
https://doi.org/10.1038/s41598-024-73952-1
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 10

Abstract

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Abstract Analysis of serial liquid biopsy (LB) samples has been found to be a promising approach for the monitoring of tumor dynamics in the course of therapy for patients with colorectal cancer (CRC). Currently, somatic mutations are used for tracing the dynamics of the tumor via LB. However, the analysis of the dynamic changes in the molecular signatures such as microsatellite instability (MSI) is not currently used. We hypothesized that changes in blood MSI burden (bMSI) could be registered using serial LB sampling in the course of immune checkpoint inhibitors (ICI), and that its changes could potentially correlate with treatment outcomes. We report the preliminary findings of the observational trial launched to study (NCT06414304) the dynamics of bMSI in 9 MSI-positive CRC patients receiving ICI. NGS-based MSI testing was performed on both pre-treatment FFPE and serial LB samples. For patients who had detectable bMSI burden in any of the LB samples (n = 8, 89%), median bMSI was 1.4% (range, 0.01-40%). Among patients with detectable MSI in available FFPE samples, median MSI burden was 29.3% (range, 10–40%). bMSI detected in baseline LB and FFPE samples were positively correlated (Pearson’s R 0.47). Maximal variant allele frequencies of driver mutations observed in LB were also positively correlated with bMSI burden (Pearson’s R 0.7). Patients who had clinical benefit had undetectable bMSI burden at follow-up. Our results provide the rationale for further validation of bMSI as a predictive biomarker of ICI in MSI-positive patients.

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