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Machine learning-guided synthesis of nanomaterials for breast cancer therapy

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收录情况： ◇ SCIE

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机构： [1]Department of General Surgery, Jing’an District Central Hospital of Shanghai, Shanghai, China. [2]Department of Breast Surgery, Tongren Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China

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关键词： Breast cancer Hydrogel Machine learning

摘要：

Breast cancer is a common malignant tumor, which mostly occurs in female population and is caused by excessive proliferation of breast epithelial cells. Breast cancer can cause nipple discharge, breast lumps and other symptoms, but these symptoms lack certain specificity and are easily confused with other diseases, thus affecting the early treatment of the disease. Once the tumor progresses to the advanced stage, distant metastasis can occur, leading to dysfunction of the affected organs, and even threatening the patients' lives. In this study, we synthesized high drug-loading gel particles and applied them to control the release of insoluble drugs. This method is simple to prepare, cost-effective, and validates their potential in breast cancer therapy. We first characterized the morphology and physicochemical properties of gel loaded with newly synthesized compound 1 by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FT-IR), and thermal gravimetric analysis (TGA). Using newly synthesized insoluble compound 1 as a model drug, its efficacy in treating breast cancer was investigated. The results showed that hydrogel@compound 1 was able to significantly inhibit the proliferation, migration and invasion of breast cancer cells. Additionally, we utilized machine learning to screen three structurally similar compounds, which showed promising therapeutic effects, providing a new approach for the development of novel small-molecule drugs.© 2024. The Author(s).

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出版当年[2023]版：

大类 | 2 区综合性期刊

小类 | 2 区综合性期刊

最新[2023]版：

大类 | 2 区综合性期刊

小类 | 2 区综合性期刊

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出版当年[2022]版：

Q2 MULTIDISCIPLINARY SCIENCES

最新[2023]版：

Q1 MULTIDISCIPLINARY SCIENCES

影响因子： 3.8 最新[2023版] 4.3 最新五年平均 4.6 出版当年[2022版] 4.9 出版当年五年平均 4.997 出版前一年[2021版] 3.8 出版后一年[2023版]

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第一作者机构： [1]Department of General Surgery, Jing’an District Central Hospital of Shanghai, Shanghai, China.

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