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Gene expression signatures: A tool for analysis of breast cancer prognosis and therapy

期刊

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.critrevonc.2020.102964

关键词

Breast cancer; Cancer therapy; Gene expression profiling

资金

  1. Rajiv Gandhi Centre for Biotechnology, Indian Council for Medical Research [53/20/2012-BMS]
  2. Kerala State Council for Science Technology and Environment [016/SRSHS/2011/CSTE]
  3. Department of Science and Technology, Government of India [EMR/2017/002222]
  4. Department of Biotechnology, Government of India [BT/IN/Indo-US/Foldscope/39/2015]
  5. Board of Research in Nuclear Sciences [37(1)/14/16/2014]
  6. Kerala State Council for Science Technology and Environment, Government of Kerala
  7. Indian Council for Medical Research, Government of India
  8. Department of Science and Technology, DST-INSPIRE, Government of India
  9. Council for Scientific and Industrial Research, Government. of India
  10. Science and Engineering Research Board (SERB), Government of India
  11. University Grants Commission (UGC), Government of India
  12. University of Kerala, Thiruvananthapuram

向作者/读者索取更多资源

Breast Cancer is the most predominant female cancer in developed as well as developing countries. The treatment strategies of breast cancers depends on an array of factors like age at diagnosis, menstrual status, dietary pattern, immunological response, genetic variations of the cancer cells etc. Recent technological advancements in cancer diagnosis lead to the emergence of gene expression pattern for better understanding of the tumor behavior. It has not only bolstered the prognosis, but also the early diagnosis and therapy. The accuracy in disease prognosis can be boosted when gene expression signatures are combined with traditional clinicopathological features. This review explains how the evolution of gene expression signatures for breast cancers, its advantages and future prospects. In addition, an overview of currently available gene expression signature analysis tools and consolidated information on their current status and specific benefits, that can be availed for breast cancer diagnosis are also discussed.

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