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Precision Oncology Beyond Genomics: The Future Is Here-It Is Just Not Evenly Distributed
Ulrike Pfohl1,2,3, Alina Pflaume1,2, Manuela Regenbrecht4
1CELLphenomics GmbH, Robert-Rössle-Str. 10, 13125 Berlin, Germany.
Cells
|April 30, 2021
Summary
Tumor heterogeneity presents a major challenge in cancer treatment. This review explores advanced multi-omics and in vitro models to understand and manage cancer
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Cancer is a complex disease with over 100 types, characterized by significant heterogeneity within and between tumors.
- This tumor heterogeneity complicates effective cancer treatment strategies and patient outcomes.
- Understanding the diverse genetic and cellular makeup of tumors is crucial for therapeutic success.
Purpose of the Study:
- To review current and future approaches for studying tumor heterogeneity.
- To explore how multi-omics technologies and in vitro models can improve cancer treatment.
- To discuss strategies for integrating diverse data to inform precision oncology.
Main Methods:
- Longitudinal and latitudinal analysis of tumor heterogeneity.
- Integration of multi-omics technologies (genomics, transcriptomics, proteomics, etc.).
- Utilizing in vitro models that mimic endogenous tumor heterogeneity.
Main Results:
- Precision oncology requires insights beyond genetic variants to guide clinical decisions.
- Advanced technologies are available to better understand and manage cancer heterogeneity.
- Multi-omics data combined with in vitro models show promise in replicating tumor complexity.
Conclusions:
- Addressing tumor heterogeneity is key to advancing precision oncology.
- Integrating multi-omics and advanced models offers new avenues for personalized cancer care.
- Improved understanding of heterogeneity will empower oncologists to tailor treatments more effectively.
Keywords:
cancer modelsintra-tumor heterogeneitymulti-omics technologypatient-derived organoidspersonalized oncologyMore Related Videos
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