【摘 要】
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Background: Breast cancer, the most common cancer in women with over 450,000 annual deaths worldwide1, exhibits significant heterogeneity in terms of molecular characteristics and clinical outcomes.A
【机 构】
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Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA
【出 处】
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第六届全国生物信息学与系统生物学学术大会暨国际生物信息学前沿研讨会
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Background: Breast cancer, the most common cancer in women with over 450,000 annual deaths worldwide1, exhibits significant heterogeneity in terms of molecular characteristics and clinical outcomes.A prevalent molecular classification (known as the PAM502) divides breast cancers into five subtypes: normal-like, Luminal A, Luminal B, Her2-enriched, and basal-like1-3, with the basal-like subtype exhibiting the worst outcome.While it is well known that p53 mutations underlie the development of basal-like tumors, molecularly targeted therapy for this subtype remains elusive due to the difficulty of targeting p53 mutations and the lack of other targets.
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