Triple Negative Breast Cancer Heterogeneity and Tumour Microenvironment-based Model Systems' Focus on Druggable

Shreyasi Kundu1, Suresh P K1

  • 1Department of Bio-medical Sciences, School of Biosciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India.

PubMed

Insights

Triple-negative breast cancer (TNBC) is aggressive and lacks hormone receptors, making it hard to treat. Understanding its tumor microenvironment (TME) and developing TNBC models are key to finding new therapies.

Area of Science:

  • Oncology
  • Cancer Biology
  • Translational Medicine

Background:

  • Triple-negative breast cancer (TNBC) accounts for 15-20% of breast cancers and is characterized by a lack of estrogen receptor (ER), progesterone receptor (PR), and HER-2 expression.
  • TNBC exhibits aggressive behavior, metastatic potential, and heterogeneity due to diverse molecular characteristics and aberrant cell cycling.
  • The tumor microenvironment (TME), comprising various cellular and extracellular components, plays a critical role in TNBC progression and treatment resistance.

Purpose of the Study:

  • To review and analyze the complex tumor microenvironment (TME) in triple-negative breast cancer (TNBC).
  • To identify biomarkers and druggable targets within the TME for improved TNBC treatment.
  • To discuss and evaluate model systems that replicate TNBC subtypes and their variability in treatment responses.

Main Methods:

  • Literature review and analysis of existing research on TNBC, its molecular characteristics, and the TME.
  • Cataloging of biomarkers associated with TNBC progression and behavior within the TME.
  • Discussion and critical analysis of current and emerging TNBC model systems that mimic TME complexity.

Main Results:

  • TNBC's heterogeneity and aggressive nature are linked to its molecular profile and the TME.
  • The TME significantly influences TNBC growth, metastasis, and therapeutic outcomes.
  • Various biomarkers and model systems are being developed to understand and target TNBC.

Conclusions:

  • Comprehending the TME is crucial for developing effective biomarkers and therapeutic strategies for TNBC.
  • Subtype-specific TNBC model systems that mirror TME intricacies offer innovative approaches for drug development.
  • Advancements in understanding TNBC heterogeneity and TME interactions can overcome treatment failures and improve patient outcomes.