| Literature DB >> 32464482 |
Neetha Rajan Latha1, Arathi Rajan1, Revathy Nadhan1, Sarada Achyutuni1, Satheesh Kumar Sengodan2, Sreelatha Krishnakumar Hemalatha3, Geetu Rose Varghese1, Ratheeshkumar Thankappan4, Neethu Krishnan1, Dipyaman Patra1, Arathy Warrier1, Priya Srinivas5.
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.Entities:
Keywords: Breast cancer; Cancer therapy; Gene expression profiling
Mesh:
Year: 2020 PMID: 32464482 DOI: 10.1016/j.critrevonc.2020.102964
Source DB: PubMed Journal: Crit Rev Oncol Hematol ISSN: 1040-8428 Impact factor: 6.312