Molecular tumor profiling for prediction of response to anticancer therapies

Zenta Walther1, Jeffrey Sklar

  • 1Department of Pathology, Yale University School of Medicine, New Haven, CT 06520-8023, USA. zenta.walther@yale.edu

Insights

Molecular tumor profiling analyzes tumor genetic alterations to predict cancer treatment response. This personalized medicine approach guides the selection of targeted therapies for improved patient outcomes.

Area of Science:

  • Oncology
  • Genomics
  • Pharmacology

Background:

  • Personalized cancer medicine relies on molecularly targeted therapies.
  • Tumor genetic alterations act as predictive markers for drug sensitivity or resistance.
  • Historically, individual mutations were assayed, but this is evolving.

Purpose of the Study:

  • To review the background of molecular tumor profiling.
  • To describe principal markers analyzed in tumor profiling.
  • To outline methodologies for tumor profiling.

Main Methods:

  • Review of scientific literature on molecular tumor profiling.
  • Analysis of common genetic and genomic alterations in tumors.
  • Description of current and emerging high-throughput testing technologies.

Main Results:

  • Molecular tumor profiling enables high-throughput testing for numerous predictive markers.
  • Identifies specific genetic alterations linked to targeted therapy response.
  • Highlights the shift towards comprehensive genomic analysis.

Conclusions:

  • Molecular tumor profiling is central to modern personalized cancer treatment.
  • It facilitates the selection of effective targeted therapies based on tumor-specific alterations.
  • Advancements in profiling methodologies are crucial for its continued development.