A perspective on the diagnostics, prognostics, and therapeutics of microRNAs of triple-negative breast cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Rama Rao Malla, Seema Kumari, Murali Mohan Gavara, Anil Kumar Badana, Shailender Gugalavath, Deepak Kakara Gift Kumar, Prasuja Rokkam

ABSTRACT

Triple-negative breast cancer (TNBC) is the most aggressive and prevalent subtype of breast cancer in women worldwide. Currently, chemotherapy remains the main modality for the treatment at an early stage, as there is no approved targeted therapy for early TNBC. In this review, we investigate the use of microRNAs (miRNAs), which play a key role in the post-transcriptional regulation of genes involved in the key biological processes, namely proliferation, differentiation, angiogenesis, migration, apoptosis, and carcinogenesis. Here, we emphasize the importance of the recent advances related to miRNAs, involving diagnosis, prognosis, and treatment of TNBC. We focus on the development, optimization, and stabilization of miRNA-based drugs; improvement of miRNA delivery; and control of the off-target effects of miRNA therapeutics. We speculate as to which features may present themselves as promising approaches in the treatment of TNBC. More... »

PAGES

227-234

References to SciGraph publications

  • 2005-06. A microRNA polycistron as a potential human oncogene in NATURE
  • 2016-08. Regulatory non-coding RNA: new instruments in the orchestration of cell death in CELL DEATH & DISEASE
  • 2016. Coralyne Targets Proteases Involved in Cancer Progression: An In Silico Study in COMPUTATIONAL INTELLIGENCE TECHNIQUES IN HEALTH CARE
  • 2017-12. Deregulation of miRNAs in malignant pleural mesothelioma is associated with prognosis and suggests an alteration of cell metabolism in SCIENTIFIC REPORTS
  • 2014-03. MicroRNA-143 is downregulated in breast cancer and regulates DNA methyltransferases 3A in breast cancer cells in TUMOR BIOLOGY
  • 2013-05. MiR-34a inhibits proliferation and migration of breast cancer through down-regulation of Bcl-2 and SIRT1 in CLINICAL AND EXPERIMENTAL MEDICINE
  • 2013-10. Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer in BREAST CANCER RESEARCH
  • 2006-04. Comprehensive analysis of microRNA expression patterns in hepatocellular carcinoma and non-tumorous tissues in ONCOGENE
  • 2011-04. miR-17-5p promotes human breast cancer cell migration and invasion through suppression of HBP1 in BREAST CANCER RESEARCH AND TREATMENT
  • 2007-10. MicroRNA expression profiling of human breast cancer identifies new markers of tumor subtype in GENOME BIOLOGY
  • 2016-09. microRNA expression profiling on individual breast cancer patients identifies novel panel of circulating microRNA for early detection in SCIENTIFIC REPORTS
  • 2018-08. Metastatic Melanoma: Recent Therapeutic Progress and Future Perspectives in DRUGS
  • 2009-12. Expression of miR-21 and its targets (PTEN, PDCD4, TM1) in flat epithelial atypia of the breast in relation to ductal carcinoma in situ and invasive carcinoma in BMC CANCER
  • 2013-04. MicroRNA-302 Replacement Therapy Sensitizes Breast Cancer Cells to Ionizing Radiation in PHARMACEUTICAL RESEARCH
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12551-019-00503-8

    DOI

    http://dx.doi.org/10.1007/s12551-019-00503-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112305748

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30796734


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