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Gene expression signatures: A tool for analysis of breast cancer prognosis and therapy.
Latha, Neetha Rajan; Rajan, Arathi; Nadhan, Revathy; Achyutuni, Sarada; Sengodan, Satheesh Kumar; Hemalatha, Sreelatha Krishnakumar; Varghese, Geetu Rose; Thankappan, Ratheeshkumar; Krishnan, Neethu; Patra, Dipyaman; Warrier, Arathy; Srinivas, Priya.
Afiliación
  • Latha NR; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Rajan A; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Nadhan R; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Achyutuni S; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Sengodan SK; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India; Mouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, United States.
  • Hemalatha SK; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India; Department of Microbiology, Government Medical College, Thiruvananthapuram, Kerala, India.
  • Varghese GR; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Thankappan R; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India; Research and Development Wing, Life Cell International Pvt Ltd, Chennai, Tamil Nadu, India.
  • Krishnan N; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Patra D; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Warrier A; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India.
  • Srinivas P; Cancer Research Program 6, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, Kerala, India. Electronic address: priyasrinivas@rgcb.res.in.
Crit Rev Oncol Hematol ; 151: 102964, 2020 Jul.
Article en En | MEDLINE | ID: mdl-32464482
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Prognostic_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Crit Rev Oncol Hematol Asunto de la revista: HEMATOLOGIA / NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: India Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Prognostic_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Crit Rev Oncol Hematol Asunto de la revista: HEMATOLOGIA / NEOPLASIAS Año: 2020 Tipo del documento: Article País de afiliación: India Pais de publicación: Países Bajos