CSDL Bài trích Báo - Tạp chí
chủ đề: Breast cancer
1 Identification of the potential compounds for inhibition CD44 target of human breast cancer stem cells by docking method / Pham Truong Giang, Tran Quoc Tuan, Huynh Thi Ngoc Thanh, Nguyen Quoc Thai, Le Thi Ngoc Tu // .- 2024 .- Vol 13 - N5 .- P. 30-36 .- 610
In a recent cell-based assay, it has been demonstrated that the F-19848A compound inhibits the binding of hyaluronan to the CD44 receptor, which is a cell-surface glycoprotein and a receptor for hyaluronan, a major component of the tumor extracellular matrix. The interaction between CD44 and hyaluronan has been shown to promote breast cancer metastasis according to evidence. In this study, the PubChem database contains more than 112 million compounds. This data is inputted for virtual screening find out top hits by combining Lipinski’s rule and docking method. With 20 configurations obtained by docking method, the lowest binding affinity ΔEbind achieved in the best docking mode was chosen as a scoring function for picking out top ligands. For inhibition the CD44 target, the top-leads compounds with binding energy less than -9.0 kcal.mol-1 and F-19848A have selected. By docking method, the binding site and other quantities were determined such as the number of hydrogen bonds (HB), non-bond contacts (NBC) of top ligands with CD44 target. Besides, the results also showed that the non-bonded contacts dominate over hydrogen bonds in the interaction between top ligands with CD44 target.
2 Expression of transcription factors involved in epithelial-to-mesenchymal transition of the breast cancer cell line MCF-7 co-cultured with adipose tissue mesenchymal stem cells / Vu Thi Tien, Le Hoang Duc, Bui Van Ngoc, Nguyen Trung Nam // .- 2023 .- Vol 21 - Number 2 .- P. 249-257 .- 610
Breast cancer is the most frequently diagnosed cancer in women globally. The tumor microenvironment plays a vital role in epithelial-to-mesenchymal transition (EMT), leading to the invasion and metastasis of cancer cells. The tumor microenvironment includes all components of the tumor cells, including the extracellular matrix, tumor vasculature, mesenchymal stem cells, immune cells, and fibroblasts. Understanding the interactions between mesenchymal stem cells and cancer cells is essential in determining the role of mesenchymal stem cells in diagnosing and treating breast cancer.
3 A nonsense mutation in BRCA1 gene in a Vietnamese patient with breast cancer / Nguyen Van Tung, Le Duc Huan, Do Minh Hien, Bui Bich Mai, Pham Cam Phuong, Nguyen Thi Kim Lien, Ha Hong Hanh, Nguyen Thanh Hien, Nguyen Huy Hoang // .- 2023 .- Vol 21 - Number 2 .- P. 259-268 .- 610
Breast cancer is the most frequent female cancer, and it is increasing at an alarming rate. The typical symptom of breast cancer is breast lumps or swellings, though they can also develop close to the breast or under the arm. Breast cancer usually spreads to distant organs such as the bone, liver, lungs, and brain. Approximately 95% of breast cancer patients who arrive with the early-stage disease show no macroscopic signs of metastases. Although it is possible to reduce some breast cancer risks through prevention, the majority of patients in low-income countries are detected at a late stage. Because of this, even though current therapy is improving, early diagnosis is still crucial for improving the quality of treatment and the survival rate. Sex, age, family history, and an unhealthy lifestyle are some of the risk factors that may increase the chances of getting this disease. Familial or hereditary breast cancer accounts for 10% of breast cancers. Mutations in the BRCA1 and BRCA2 genes were responsible for 50% of all familial or hereditary breast cancer cases. In this research, mutations in a Vietnamese patient with familial breast cancer were analyzed using whole exome sequencing.
4 Identification of hub genes and drug-gene interactions for targeted breast cancer treatment by integrated bioinformatics analysis / Dao Manh Cuong, Bui Van Ngoc // .- 2023 .- Vol 21 - Number 1 .- P. 21-34 .- 610
In this study, bioinformatics is applied to genetic testing for BC diagnosis; namely the R programming language combined with the bioinformatics toolkit was used to analyze gene expression levels between normal and tumor tissues in three gene expression profiles (GSE29431, GSE42568, GSE21422).