Triple Negative Breast Cancer Profile, from Gene to microRNA, in Relation to Ethnicity

Ishita Gupta1, Rasha M Sareyeldin2, Israa Al-Hashimi3

  • 1College of Medicine, Qatar University, Doha P. O. Box:2713, Qatar. ishugupta28@gmail.com.

Cancers
|March 16, 2019
PubMed

Insights

Triple-negative breast cancer (TNBC) is aggressive, with few treatments. This review explores TNBC genomics across diverse ethnic groups to inform new targeted therapies.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Breast cancer is a leading cause of cancer death in women globally, with distinct molecular subtypes.
  • Triple-negative breast cancer (TNBC) lacks hormone receptors and HER-2, representing ~15% of cases and exhibiting aggressive metastasis.
  • Limited targeted therapies are available for TNBC, highlighting the need for deeper molecular understanding.

Purpose of the Study:

  • To provide a comprehensive review of genomic profile alterations in triple-negative breast cancer (TNBC) pathogenesis.
  • To highlight variations in TNBC genomics across different ethnic backgrounds and geographic locations.
  • To inform the development of novel targeted therapies for TNBC.

Main Methods:

  • Literature review of recent studies on breast cancer genomics.
  • Analysis of gene profiling, sequencing, proteomics, and microRNA data related to TNBC.
  • Synthesis of information on ethnic and geographic variations in TNBC genomic profiles.

Main Results:

  • Genomic profiles, including gene and microRNA alterations, can vary significantly between different ethnic groups and geographic regions.
  • Understanding these variations is crucial for developing effective, personalized therapies for TNBC.
  • Recent advancements in molecular biology techniques are enhancing the exploration of breast cancer carcinogenesis and metastasis.

Conclusions:

  • Genomic heterogeneity in TNBC necessitates tailored therapeutic strategies considering ethnic and geographic factors.
  • Further research into the specific genomic alterations in diverse populations will drive the discovery of new TNBC treatments.
  • Integrating multi-omics data offers a promising avenue for unraveling TNBC complexity and improving patient outcomes.

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