Background: Tetraspanin 1 (TSPAN1) is a newly discovered protein of the tetrameric protein family encoded by the gene localized in the 1p34 chromosome region. TSPAN1 has been shown to be associated with various malignancies. In this study, we aimed to investigate the prognostic significance of TSPAN1 in breast cancer. Estrogen receptor-positive (ER+) breast cancer is the largest breast cancer subgroup, and ER-targeted therapies have significantly prolonged survival and improved symptoms in advanced breast cancer. TSPAN1 overexpression was found to be associated with a poor prognosis in ER+ breast cancer.
Methods: We analyzed the expression of TSPAN1 in breast cancer tissues and cell lines using western blotting and quantitative reverse transcription polymerase chain reaction (RT-qPCR).
Results: TSPAN1 expression was higher in breast cancer cells as compared with normal breast tissue. There was a significant association between a high TSPAN1 level and a low survival rate. Inhibition of TSPAN1 significantly reduced the proliferation and invasion of BT474 cells both and . The downregulation of TSPAN1 in breast cancer cells significantly reduced the levels of p-mitogen-activated protein kinase 1 (MEK1) (S298) and p-extracellular signal-regulating kinase (ERK) 1/2.
Conclusions: TSPAN1 modulates downstream extracellular matrix (ECM) receptor signaling cascades and promotes cellular proliferation and invasion in breast cancer. TSPAN1 inhibition may be a potential new treatment strategy for breast cancer.
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http://dx.doi.org/10.21037/tcr-24-409 | DOI Listing |
East Mediterr Health J
December 2024
Department of Radiology, King Abdulaziz University, Jeddah, Saudi Arabia.
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
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