scholarly journals Molecular characterization and targeted therapeutic approaches in breast cancer

2015 ◽  
Vol 17 (1) ◽  
Author(s):  
Angela Toss ◽  
Massimo Cristofanilli
2021 ◽  
Vol 7 (1) ◽  
pp. 2
Author(s):  
Debina Sarkar ◽  
Sarah D. Diermeier

Circular RNAs (circRNAs) are a class of non-coding RNAs that form a covalently closed loop. A number of functions and mechanisms of action for circRNAs have been reported, including as miRNA sponge, exerting transcriptional and translational regulation, interacting with proteins, and coding for peptides. CircRNA dysregulation has also been implicated in many cancers, such as breast cancer. Their relatively high stability and presence in bodily fluids makes cancer-associated circRNAs promising candidates as a new biomarker. In this review, we summarize the research undertaken on circRNAs associated with breast cancer, discuss circRNAs as biomarkers, and present circRNA-based therapeutic approaches.


Author(s):  
Flávia Sardela de Miranda ◽  
João Pedro Tôrres Guimarães ◽  
Kalhara R. Menikdiwela ◽  
Brennan Mabry ◽  
Rabin Dhakal ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Antonio Marra ◽  
Dario Trapani ◽  
Giulia Viale ◽  
Carmen Criscitiello ◽  
Giuseppe Curigliano

Abstract Triple-negative breast cancer (TNBC) is not a unique disease, encompassing multiple entities with marked histopathological, transcriptomic and genomic heterogeneity. Despite several efforts, transcriptomic and genomic classifications have remained merely theoretic and most of the patients are being treated with chemotherapy. Driver alterations in potentially targetable genes, including PIK3CA and AKT, have been identified across TNBC subtypes, prompting the implementation of biomarker-driven therapeutic approaches. However, biomarker-based treatments as well as immune checkpoint inhibitor-based immunotherapy have provided contrasting and limited results so far. Accordingly, a better characterization of the genomic and immune contexture underpinning TNBC, as well as the translation of the lessons learnt in the metastatic disease to the early setting would improve patients’ outcomes. The application of multi-omics technologies, biocomputational algorithms, assays for minimal residual disease monitoring and novel clinical trial designs are strongly warranted to pave the way toward personalized anticancer treatment for patients with TNBC.


2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Debasish Boral ◽  
Monika Vishnoi ◽  
Haowen N. Liu ◽  
Wei Yin ◽  
Marc L. Sprouse ◽  
...  

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