Journal
FRONTIERS IN MOLECULAR BIOSCIENCES
Volume 9, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2022.836417
Keywords
triple negative breast cancer; risk factor; signaling pathways; prognosis; artificial intelligence
Categories
Ask authors/readers for more resources
This article provides up-to-date information on triple-negative breast cancer (TNBC), including epidemiology, risk factors, metastasis, signaling pathways, immune suppressive cells, current therapies, prognosis, and the role of artificial intelligence in diagnosis. The information presented may be helpful for researchers to advance the understanding of TNBC and provide suitable disease management.
Triple-negative breast cancer (TNBC) is a kind of breast cancer that lacks estrogen, progesterone, and human epidermal growth factor receptor 2. This cancer is responsible for more than 15-20% of all breast cancers and is of particular research interest as it is therapeutically challenging mainly because of its low response to therapeutics and highly invasive nature. The non-availability of specific treatment options for TNBC is usually managed by conventional therapy, which often leads to relapse. The focus of this review is to provide up-to-date information related to TNBC epidemiology, risk factors, metastasis, different signaling pathways, and the pathways that can be blocked, immune suppressive cells of the TNBC microenvironment, current and investigation therapies, prognosis, and the role of artificial intelligence in TNBC diagnosis. The data presented in this paper may be helpful for researchers working in the field to obtain general and particular information to advance the understanding of TNBC and provide suitable disease management in the future.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available