Characterization of the genomic landscape in liver oligometastatic NSCLC

Rongxin Liao1, Guangming Yi1,2, Lu Shen3

  • 1Department of Cancer Center, Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.

BMC Cancer
|January 17, 2025
PubMed
Abstract

Insights

This study reveals key genomic alterations in liver oligometastatic non-small cell lung cancer (NSCLC). Understanding these molecular features, including TP53 and EGFR mutations, can guide personalized treatment strategies for improved patient outcomes.

Area of Science:

  • Oncology
  • Genomics
  • Translational Medicine

Background:

  • Local treatment shows promise for non-small cell lung cancer (NSCLC) patients with oligometastasis.
  • Liver metastases in advanced NSCLC carry a poor prognosis, yet their genomic landscape is poorly understood.
  • Elucidating the molecular features of liver oligometastasis is crucial for improving treatment strategies.

Purpose of the Study:

  • To characterize the genomic landscape of liver oligometastatic non-small cell lung cancer (NSCLC).
  • To identify prevalent gene mutations and mutational signatures in this specific patient subgroup.
  • To explore potential actionable molecular alterations for targeted therapy.

Main Methods:

  • Comprehensive genomic analysis using next-generation sequencing.
  • Paired liver metastatic tissue and peripheral blood samples collected from 32 NSCLC patients with liver oligometastasis.
  • Analysis included gene mutations, mutational signatures (APOBEC, HRD, dMMR), and tumor mutation burden (TMB).

Main Results:

  • Identified 206 mutated genes across 32 patients, with TP53 (72%), EGFR (50%), RB1 (19%), and SMARCA4 (12%) being the most frequent.
  • Observed a significantly higher co-occurrence rate of TP53 and RB1 compared to TCGA-LUAD data.
  • Found that 78.12% of patients had actionable molecular alterations, suggesting potential for targeted therapies.

Conclusions:

  • The study provides a comprehensive genomic profile of liver oligometastatic NSCLC.
  • These findings enhance understanding of the unique clinic-biological features of oligometastasis.
  • The identified genomic characteristics can inform personalized treatment strategies for this patient population.

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