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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
Published on: January 22, 2011
Overview of precision oncology trials: challenges and opportunities
Elena Fountzilas1, Apostolia M Tsimberidou1
1a Department of Investigational Cancer Therapeutics , The University of Texas MD Anderson Cancer Center , Houston , TX , USA.
Introduction:
In recent years, the therapeutic management of selected patients with cancer has shifted toward the 'precision medicine' approach based on patient's mechanisms of tumorigenesis, and their baseline characteristics and comorbidities. Complete tumor and cell-free DNA profiling using next-generation sequencing, proteomic and RNA analysis, and immune mechanisms should to be taken into consideration and accurate bioinformatic analysis is essential to optimize patient's treatment. Areas covered: The challenges and opportunities of conducting clinical trials in precision oncology are summarized. Expert commentary: Precision medicine has significantly changed the diagnostic and therapeutic landscape of cancer. Successful implementation of precision medicine requires translational and bioinformatics infrastructure to support optimization of treatment selection. Targeted therapy, immunotherapy, T-cell therapy alone or in combination with cytotoxic or other effective therapeutic strategies and innovative clinical trials with adaptive design should be offered to all patients. Data sharing and 'N-of-1' models hold the promise to optimize the treatment of individual patients and expedite drug approval for rare alterations and tumor types. Artificial intelligence will facilitate accurate utilization of sequencing data to perform algorithm analysis. Collaboration of healthcare providers with pharmaceutical and biotechnical companies, scientific organizations, and governmental regulatory agencies have a crucial role in curing cancer.
Insights
Precision medicine revolutionizes cancer care by tailoring treatments to individual tumor profiles. Advanced bioinformatics and data sharing are key to optimizing therapies and accelerating drug approvals for better patient outcomes.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Cancer treatment is increasingly adopting a precision medicine approach.
- This involves analyzing tumor mechanisms, patient characteristics, and comorbidities.
- Comprehensive molecular profiling (DNA, RNA, proteomics) and immune analysis are crucial.
Purpose of the Study:
- To summarize the challenges and opportunities in precision oncology clinical trials.
- To highlight the importance of bioinformatics in optimizing cancer treatment.
- To discuss future directions in precision cancer care.
Main Methods:
- Review of current precision oncology strategies.
- Discussion of bioinformatics infrastructure needs.
- Exploration of innovative clinical trial designs and data sharing models.
Main Results:
- Precision medicine has transformed cancer diagnosis and treatment.
- Effective implementation requires robust translational and bioinformatics support.
- Targeted therapies, immunotherapies, and T-cell therapies are central.
Conclusions:
- Personalized treatment strategies, including 'N-of-1' models, can optimize individual patient care.
- Data sharing and artificial intelligence are vital for drug approval and rare cancer types.
- Collaboration among stakeholders is essential for advancing cancer cures.
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