Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future

Dilara Akhoundova1, Mark A Rubin2

  • 1Department for BioMedical Research, University of Bern, 3008 Bern, Switzerland; Department of Medical Oncology, Inselspital, University Hospital of Bern, 3010 Bern, Switzerland.

Cancer Cell
|September 2, 2022
PubMed

Insights

Advanced tumor profiling using multi-omics data enhances precision cancer treatment. This review covers spatial genomics, transcriptomics, proteomics, liquid biopsies, and drug response modeling for clinical integration.

Area of Science:

  • Oncology
  • Genomics
  • Proteomics
  • Biotechnology

Background:

  • Next-generation sequencing (NGS) has revolutionized clinical oncology by identifying therapeutic targets and biomarkers.
  • This has enabled personalized cancer treatment, improving outcomes for various tumor types.
  • Advanced tumor profiling now allows detailed analysis of molecular architecture and cellular function.

Purpose of the Study:

  • To review recent advancements in multi-omics tumor profiling technologies.
  • To analyze the translational validation and clinical implementation challenges of these technologies.
  • To discuss future perspectives for integrating high-resolution tumor profiling into precision medicine.

Main Methods:

  • Review of spatial genomics and chromatin organization techniques.
  • Summary of spatial transcriptomics and proteomics methodologies.
  • Analysis of liquid biopsy and ex vivo drug response modeling approaches.

Main Results:

  • Multi-omics profiling offers high-resolution insights into tumor molecular and functional phenotypes.
  • Technologies like spatial genomics and liquid biopsies are advancing rapidly.
  • Significant challenges remain in prospective validation and clinical integration.

Conclusions:

  • High-resolution multi-omics tumor profiling holds immense promise for precision oncology.
  • Overcoming translational and implementation hurdles is crucial for clinical adoption.
  • Future integration of these advanced technologies will further personalize cancer care.

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