[Towards Development of Innovative Cancer Therapies - Trans-OMICS Approach]

Reika Kawabata-Iwakawa1, Masahiko Nishiyama

  • 1Dept. of Molecular Pharmacology and Oncology, Gunma University Graduate School of Medicine.

Insights

Next-generation sequencing (NGS) advanced cancer therapy, but resistance persists in difficult cancers. Trans-OMICS offers a new approach by integrating multiple data types to discover novel targets and biomarkers for improved cancer medicine.

Area of Science:

  • Oncology
  • Genomics
  • Systems Biology

Background:

  • Next-generation sequencing (NGS) has identified novel cancer driver mutations and therapeutic targets, improving patient outcomes.
  • Intractable or refractory cancers often lack common druggable alterations due to high tumor diversity.
  • Acquired resistance to molecular targeted therapy arises from various factors, including pathway alterations and tumor microenvironment interactions.

Purpose of the Study:

  • To address the limitations of single-omic approaches in identifying effective cancer therapeutic targets and biomarkers.
  • To introduce the Trans-OMICS concept for a comprehensive understanding of cancer biology.
  • To highlight the potential of Trans-OMICS in drug discovery and clinical applications for cancer medicine.

Main Methods:

  • Utilizing multi-omic measurements (genome, transcriptome, proteome, metabolome) to capture a global biochemical network.
  • Employing computational data integration to connect multi-omic data with variable phenotypes.
  • Reviewing recent oncology research employing the Trans-OMICS approach.

Main Results:

  • Trans-OMICS enables clarification of global biochemical networks across multiple omics layers.
  • This approach directly correlates multi-omic data with observable phenotypes.
  • The study reviews recent applications and presents the authors' own attempts in oncology research.

Conclusions:

  • The Trans-OMICS approach overcomes limitations of single-omic studies for identifying cancer targets.
  • Integrating multiple omics layers provides a more holistic view of cancer biology and resistance mechanisms.
  • Trans-OMICS holds significant potential for advancing drug discovery and personalized cancer medicine.

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