The DAG/PKC/CREB1/TGF-β1 axis drives shear-wave elastography stiffness and malignant progression in triple-negative breast cancer via lipid metabolic reprogramming

乳腺癌 癌症研究 生物标志物 弹性成像 医学 刚度 成像生物标志物 三阴性乳腺癌 重编程 脂质代谢 癌症 机械生物学 内科学 脂肪组织 下调和上调 转录组 病理 信号转导 肿瘤科 免疫组织化学 微气泡 细胞
作者
Shiyu Wang,Dongdong Zheng,Ziqi Wang,Ruoqing Hou,Zhiming Zhang,Zhanping You,Jin Zhou,Yunxia Huang,Mengyao Quan,Jian Zhou,Cai Chang,Shichong Zhou
出处
期刊:Cell Death and Disease [Springer Nature]
卷期号:17 (1)
标识
DOI:10.1038/s41419-026-08625-0
摘要

In clinical practice, triple-negative breast cancer (TNBC) patients with varying levels of lipid metabolism exhibit differences in tumor shear-wave elastography (SWE) stiffness and prognosis, but this association with unclear mechanism. In this study, a clinical cohort from FUSCC (n = 147) demonstrated that both elevated BMI and higher SWE stiffness were significantly associated with poorer long-term prognosis in TNBC patients, and these associations were further validated in multi-TNBC animal models. Our findings emphasize the role of SWE stiffness in capturing BMI-related alterations in the tumor mechanical microenvironment. Based on integrated lipidomic and transcriptomic analyses, we demonstrated that diacylglycerol (DAG) serves as a critical lipid molecule promoting elevated SWE stiffness and malignant progression. Mechanistically, DAG upregulates TGF-β1 expression through PKC-mediated enhancement of CREB1 phosphorylation in multiple TNBC cell lines, directly promoting TNBC progression and activating cancer-associated fibroblasts. This creates a self-sustaining feedback loop that accelerates malignancy. Finally, we confirmed that the DAG/PKC/CREB1/TGF-β1 signaling axis profoundly regulates SWE imaging stiffness in TNBC models, with further validation in clinical samples. Our study establishes SWE stiffness as a non-invasive imaging biomarker for the activation of this specific pro-metastatic pathway, providing a mechanistic basis for interpreting SWE features through a biological lens and paving the way for its application in prognosis prediction and tailored therapeutic strategies for high-risk TNBC patients.
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