Once breast cancer cells grow aggressively and become lodged in the skeleton through migration and invasion, they interact with bone microenvironment and accelerate much more tumor growth and bone destruction. We investigated whether liensinine and nuciferine, major active components in (lotus), could prevent breast cancer cell-mediated bone destruction. Liensinine and nuciferine inhibited the growth of MDA-MB-231 and MCF-7 human breast cancer cells by inducing apoptosis and inhibiting proliferation via cell cycle arrest. Liensinine treatment led to the increased Bax/Bcl-2 ratio, activation of caspase-3, and subsequent cleavage of PARP. Liensinine also displayed significant inhibition on the migration and invasion of both MDA-MB-231 and MCF-7 human breast cancer cells compared with nuciferine. In addition, liensinine and nuciferine inhibited the receptor activator of nuclear factor kappa-B ligand- (RANKL-) induced osteoclast differentiation in mouse bone marrow macrophage cells and mature osteoclast-mediated bone resorption. Furthermore, oral administration of liensinine reduced the osteolysis in nude mice with intratibial injection of MDA-MB-231 cells. Collectively, liensinine and nuciferine may be promising candidates for preventing and treating breast cancer bone metastasis and the resulting osteolytic bone loss by targeting both cancer cells and osteoclasts. Liensinine has more potent anticancer and antibone resorptive activities than nuciferine.
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http://dx.doi.org/10.1155/2017/1583185 | DOI Listing |
J Transl Med
January 2025
Department of Stem Cell and Regenerative Medicine, Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Background: It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).
Methods: The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis.
Chin Med
January 2025
Department of Neurobiology and Acupuncture Research, The Third Clinical Medical College, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, Zhejiang Chinese Medical University, Hangzhou, China.
Background: Paclitaxel-induced peripheral neuropathy (PIPN) is prevalent among patients receiving paclitaxel chemotherapy, which results in sensory abnormality as well as neuropathic pain. Conventional medications lack effectiveness on PIPN. Clinical trials identified beneficial effects of acupuncture on PIPN among patients receiving chemotherapy.
View Article and Find Full Text PDFBMC Health Serv Res
January 2025
Te Aka Whai Ora (Māori Health Authority), Auckland, New Zealand.
Background: Breast cancer screening in Aotearoa New Zealand (NZ) still has persistent inequitable coverage by ethnicity, especially for Indigenous Māori women. This project aimed to undertake systematic data linkage to identify and invite eligible Māori women to participate in breast screening.
Methods: This is a cross-sectional observational study conducted in Northern New Zealand between 1/01/2020 and 30/06/2021.
Cancer Cell Int
January 2025
Department of Neurosurgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, China.
The tertiary lymphoid structure (TLS) is recognized as a potential prognosis factor for breast cancer and is strongly associated with response to immunotherapy. Inducing TLS neogenesis can enhance the immunogenicity of tumors and improve the efficacy of immunotherapy. However, our understanding of TLS associated region at the single-cell level remains limited.
View Article and Find Full Text PDFJ Transl Med
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, No.651 Dongfeng East Road, Guangzhou, 510060, People's Republic of China.
Background: HER2-targeted antibody-drug conjugates (ADCs) have revolutionized the treatment landscape of metastatic breast cancer. However, the efficacy of these therapies may be compromised by genomic alterations. Hence, this study aims to identify factors predicting sensitivity to HER2 ADC in metastatic breast cancer.
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