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

  1. Author:
    Latha, Neetha Rajan
    Rajan, Arathi
    Nadhan, Revathy
    Achyutuni, Sarada
    Sengodan,Satheesh
    Hemalatha, Sreelatha Krishnakumar
    Varghese, Geetu Rose
    Thankappan, Ratheeshkumar
    Krishnan, Neethu
    Patra, Dipyaman
    Warrier, Arathy
    Srinivas, Priya
  2. Author Address

    Rajiv Gandhi Ctr Biotechnol, Canc Res Program 6, Thycaud PO, Thiruvananthapuram 695014, Kerala, India.NCI, Mouse Canc Genet Program, Ctr Canc Res, Frederick, MD 21702 USA.Govt Med Coll, Dept Microbiol, Thiruvananthapuram, Kerala, India.Life Cell Int Pvt Ltd, Res & Dev Wing, Chennai, Tamil Nadu, India.
    1. Year: 2020
    2. Date: JUL
    3. Epub Date: 2020 05 15
  1. Journal: Critical reviews in oncology/hematology
  2. ELSEVIER SCIENCE INC,
    1. 151
  3. Type of Article: Review
  4. Article Number: 102964
  5. ISSN: 1040-8428
  1. Abstract:

    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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External Sources

  1. DOI: 10.1016/j.critrevonc.2020.102964
  2. PMID: 32464482
  3. WOS: 000541146300004

Library Notes

  1. Fiscal Year: FY2020-2021
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