Prognostic and Predictive Biomarkers in Cancer
Meera Nair, Sardul Singh Sandhu and Anil K. Sharma
Affiliation: Department of Biotechnology, M.M. University, Mullana (Ambala) Haryana-133207.
With the recent emergence of novel technologies, the field of biomarker discovery has been the subject of
intense research and activity. Major advances in cancer control will be greatly aided by early detection for the diagnosis
and treatment of cancer in its pre-invasive state. Cancer being a diverse disease involves alterations in three classes of
genes viz. (proto) oncogenes, tumour suppressor genes and DNA repair genes offering a wide variety of opportunities for
the development of biomarkers. The emergence of innovative technologies in genomics, proteomics, metabolomics and
imaging allows researchers to facilitate inclusive analysis of cancer cells. These approaches have already demonstrated its
power to discriminate cancer cells from normal cells and to identify specific genetic elements involved in cancer
progression. Cancer evolves via manifold pathways and is a culmination of a variety of genetic, molecular and clinical
events. In the past few years, several reports have led to identification of novel cancer signatures via high throughput
biology. Current review gives an overview of the bioinformatics tools, cancer database and available software package
tools and further summarizes about different strategies involved in Omics research (genomics, proteomics, metabolomics)
for the development of cancer biomarkers. We also discuss about the current and emerging biomarkers in breast cancer
with fundamental insight into different markers used in breast cancer detection. In addition, we focus upon the systematic
integration of various omic data for accelerating cancer biomarker discovery with evidence based cancer management.
The above strategies may lead to significant improvement in cancer screening, prognosis and management of therapeutic
response in cancer patients.
Keywords: Biomarkers, cancer, genomics, imaging, metabolomics, proteomics, diagnostic markers, validation.
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