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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
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Published on: August 1, 2018

Molecular profiling in breast cancer.

Shannon R Morris1, Lisa A Carey

  • 1GlaxoSmithKline, Research Triangle Park, NC, USA.

Reviews in Endocrine & Metabolic Disorders
|April 28, 2007
PubMed
Summary

Molecular profiling reveals breast cancer heterogeneity, identifying subtypes and leading to prognostic gene panels. This advances personalized therapy for breast cancer patients.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Breast cancer exhibits significant heterogeneity.
  • Molecular profiling has identified distinct intrinsic subtypes (Luminal A, Luminal B, HER2+/ER-, basal-like).
  • This heterogeneity impacts treatment response and prognosis.

Purpose of the Study:

  • To highlight the role of molecular profiling in understanding breast cancer heterogeneity.
  • To discuss the development of gene expression-based prognostic panels.
  • To emphasize the potential for future individualized breast cancer therapy.

Main Methods:

  • Utilized molecular profiling techniques to analyze breast cancer samples.
  • Identified and characterized intrinsic molecular subtypes.

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  • Reviewed the development and clinical application of gene expression-based prognostic panels.

    • Main Results:

    • Established biological evidence for breast cancer heterogeneity.
    • Confirmed the existence of distinct intrinsic subtypes.
    • Led to the creation of clinically validated prognostic tools (e.g., Mammaprint, Oncotype Dx).

    Conclusions:

    • Molecular profiling is crucial for dissecting breast cancer complexity.
    • Gene expression panels offer valuable prognostic information.
    • Advanced understanding promises more personalized and effective breast cancer treatments.