Future perspectives from lung cancer pre-clinical models: new treatments are coming?

Francesca Bersani1, Deborah Morena2,3, Francesca Picca2,3

  • 1Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, MA 02129, USA.

Insights

Lung cancer remains a leading cause of death, often diagnosed at advanced stages. New strategies using circulating tumor DNA (ctDNA) and tumor microenvironments show promise for improving lung cancer treatment effectiveness.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Research

Background:

  • Lung cancer is the most common and lethal cancer, frequently diagnosed at advanced stages.
  • Tyrosine kinase inhibitors (TKIs) and molecular profiling have improved advanced non-small cell lung cancer (NSCLC) treatment.
  • Overcoming drug tolerance and acquired resistance in lung cancer remains a critical challenge.

Purpose of the Study:

  • To explore novel strategies for enhancing lung cancer treatment effectiveness.
  • To investigate methods for overcoming drug resistance in lung cancer.
  • To highlight the potential of circulating biomarkers and in vitro models for advancing lung cancer therapies.

Main Methods:

  • Utilizing circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) to analyze tumor heterogeneity and clonal evolution non-invasively.
  • Employing in vitro recapitulation of tumor microenvironment architecture for pre-clinical studies.

Main Results:

  • Circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) offer complementary non-invasive approaches to study tumor characteristics.
  • In vitro models of tumor microenvironment architecture provide a novel pre-clinical platform.

Conclusions:

  • Advanced non-small cell lung cancer (NSCLC) treatment can be optimized through non-invasive biomarkers like ctDNA and CTCs.
  • In vitro tumor microenvironment models represent a promising frontier for developing effective, precision-based cancer immunotherapies.
  • Further research into these areas could lead to rapid clinical translation for improved lung cancer patient outcomes.