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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer

Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer

Published on: March 17, 2016

Systems epidemiology in cancer.

Eiliv Lund¹, Vanessa Dumeaux

¹Institute of Community Medicine, University of Tromsø, 9037 Tromsø, Norway. Eiliv.Lund@ism.uit.no

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology

|November 8, 2008

Summary

Introducing the globolomic design for integrated cancer risk analysis. This approach extends prospective studies by analyzing multiple -omics data from blood and tumor tissue, enhancing gene-environment interaction research.

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Area of Science:

Cancer Epidemiology
Genomics
Systems Biology

Background:

Prospective cancer epidemiology studies have used consistent designs for decades.
Current gene-environment interaction studies rely on biobanks and notified cancer outcomes, driven by high-throughput technologies rather than novel designs.

Purpose of the Study:

Propose the novel 'globolomic design' for integrated cancer risk analysis.
Extend existing prospective designs to incorporate multi-omics data from blood and tumor tissue at diagnosis.

Main Methods:

Collect blood and tumor tissue samples at diagnosis for comprehensive analysis.
Integrate data from major -omics (genomics, transcriptomics, etc.) for a holistic view.
Utilize gene expression profiles to verify mechanistic insights and enhance causal inference in epidemiology.

Main Results:

The globolomic design enables integrated analyses of cancer risk across multiple -omics.
It allows for the verification of mechanistic information using gene expression profiles, adding a new dimension to epidemiological causality.
This approach can improve the interpretation of genetic risk factors by using in vivo human data.

Conclusions:

The globolomic design represents a significant advancement in cancer epidemiology research.
It facilitates the establishment of 'systems epidemiology,' a new discipline focusing on gene functions and challenging traditional biobanking concepts.
This design holds the potential to deepen our understanding of cancer etiology and gene-environment interactions.