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Translating cancer 'omics' to improved outcomes.
Emily A Vucic1, Kelsie L Thu, Keith Robison
1British Columbia Cancer Research Centre, Vancouver V5Z 1L3, Canada. evucic@bccrc.ca
Genome Research
|February 4, 2012
Summary
The genomics era reveals cancer
Area of Science:
- Genomic Medicine
- Cancer Biology
- Translational Research
Background:
- The genomics era has significantly advanced cancer biology understanding.
- Cancer genomes are immensely complex and exhibit heterogeneity even in similar tumors.
- Multi-omics data with clinical annotations are publicly available, offering research potential.
Purpose of the Study:
- To highlight the advantages of multidimensional genomic analysis in the high-throughput omics age.
- To discuss how changing cancer demographics impact translational omics research.
- To explore the potential of multi-omics data for improving patient survival.
Main Methods:
- Analysis of multi-omics databases.
- Integration of clinical annotations (histology, response, outcome).
- Focus on multidimensional genomic analysis approaches.
Main Results:
- Demonstration of the complexity and heterogeneity of cancer genomes.
- Identification of multi-omics data as a rich resource for translational research.
- Highlighting the potential for improved patient outcomes through omics data.
Conclusions:
- Multidimensional genomic analysis offers unique advantages in the current omics landscape.
- Translational omics research must consider the evolving cancer patient demographic.
- Leveraging integrated omics and clinical data is key to advancing cancer treatment and survival.
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