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Area of Science:

  • Molecular pathology
  • Precision oncology
  • Multiomics technologies

Background:

  • Integrated diagnostic approaches are advancing precision oncology.
  • Multiomics technologies enable simultaneous assessment of genomic, transcriptomic, proteomic, and metabolic states.
  • Large consortia like TCGA and CPTAC demonstrate the value of harmonized multiomics.

Purpose of the Study:

  • To review the biological and clinical relevance of multiomics integration in cancer.
  • To highlight the critical role of multiomics in comprehensive tumor assessment and functional analyses.
  • To provide a framework for interpreting integrated molecular diagnostics and addressing implementation challenges.

Main Methods:

  • Leveraging multiomics technologies (genomics, transcriptomics, proteomics, metabolomics).
  • Integrating multiomics data with conventional pathological evaluation.
  • Analyzing data from large-scale international consortia (e.g., TCGA, CPTAC) and clinical trials (e.g., NCI-MATCH).

Main Results:

  • Multiomics analyses define tumor subtypes, uncover dependencies, and yield actionable insights.
  • Molecular pathology-guided treatment strategies improve clinical outcomes, including progression-free survival.
  • Multi-layered molecular interrogation is crucial, as genomics alone is insufficient for optimal targeted therapy.

Conclusions:

  • Multiomics integration is essential for comprehensive morpho-molecular tumor assessment.
  • Molecularly stratified treatment approaches are increasingly required in routine clinical practice.
  • Overcoming methodological and translational challenges is key to broader precision oncology implementation.