Abstract 1996 Development of a AI-driven highly selective JAK3 inhibitor for the treatment of Metastatic Triple negative breast cancer
Year: 2024
Type: conference-abstract
Abstract: Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, having a poor prognosis and rapid metastases to the brain. TNBC is characterized by the absence of estrogen, progesterone, and human epidermal growth receptor-2 (HER2) expressions and has a 7% five-year survival rate. Compared to other breast cancer subtypes, TNBC patients only respond to conventional chemotherapies, and even then, with limited success. Therefore, there is a critical need to develop novel targeted therapeutic strategies to re-store the anti-cancer actions to treat metastasis of Triple negative breast cancer to reduce disease morbidity and mortality.
Source: Journal of Biological Chemistry
Authors: Jayshree Mishra, Narendra Kumar, Priyam Kumar
Institution: Texas A&M University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,800
OpenAlex ID: W4393139361