Purpose: Breast cancer is one of the deadliest malignancies in women. Lack of biomarkers and the unavailability of reliable therapeutic targets are main hurdles in the treatment of breast cancer. The present study was therefore designed to assess the role and therapeutic potential of miR-204 in the treatment of breast cancer.
Methods: The expression of miR-204 was checked by qRT-PCR. The transfections were performed by Lipofectamine 2000 reagent. Cell viability was determined by WST-1 colorimetric assay. The effect of miR-204 was evaluated on the breast cancer metastasis by cell migration and invasion transwell assays. Immunoblotting was used to determine the protein expression in breast cancer cells.
Results: The results revealed that the expression of miR-204 was downregulated in all the tested breast cancer cell lines. Overexpression of miR-204 in the MCF7 breast cancer cell line suppressed the proliferation of these cells by triggering apoptotic cell death and G2/M cell cycle arrest. Furthermore, miR-204 overexpression inhibited the migration and invasion of the MCF7 breast cancer cells. Bioinformatic analysis revealed PTEN to be the target of miR-204. Since, PTEN regulates the PI3K/AKT signalling pathway, the effect of miR-204 overexpression was also assessed on this pathway and showed that miR-204 overexpression inhibits the expression of p-AKT and p-PI3K significantly in MCF7 breast cancer cells.
Conclusion: We conclude that miR-204 regulates the proliferation and metastasis of the breast cancer cells and as such may prove to be an important therapeutic target.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
An integrative analysis reveals cancer risk associated with artificial sweeteners.
J Transl Med
January 2025
Medical College of YiChun University, Xuefu Road No 576, Yichun, 336000, Jiangxi, People's Republic of China.
Background: Artificial sweeteners (AS) have been widely utilized in the food, beverage, and pharmaceutical industries for decades. While numerous publications have suggested a potential link between AS and diseases, particularly cancer, controversy still surrounds this issue. This study aims to investigate the association between AS consumption and cancer risk.
View Article and Find Full Text PDFExploring the role of splicing in TP53 variant pathogenicity through predictions and minigene assays.
Hum Genomics
January 2025
Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD, 4006, Australia.
Background: TP53 variant classification benefits from the availability of large-scale functional data for missense variants generated using cDNA-based assays. However, absence of comprehensive splicing assay data for TP53 confounds the classification of the subset of predicted missense and synonymous variants that are also predicted to alter splicing. Our study aimed to generate and apply splicing assay data for a prioritised group of 59 TP53 predicted missense or synonymous variants that are also predicted to affect splicing by either SpliceAI or MaxEntScan.
View Article and Find Full Text PDFCross-cultural adaptation of the simple Chinese version of the medication adherence reasons scale in patients undergoing adjuvant endocrine therapy for breast cancer.
BMC Cancer
January 2025
Breast Surgery Department, Hangzhou Institute of Medicine, Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Adjuvant endocrine therapy (AET) is essential for improving survival and reducing mortality and recurrence rates in breast cancer (BrCa) patients. However, the adherence to AET among BrCa patients is poor, and there is no scale to measure adherence to AET or the reasons for non-adherence among BrCa patients in mainland China. The aim of this study was to assess the psychometric properties of the simple Chinese version of the Medication Adherence Reasons (MAR) scale in BrCa patients undergoing AET.
View Article and Find Full Text PDFUltrasound localization microscopy in the diagnosis of breast tumors and prediction of relevant histologic biomarkers associated with prognosis in humans: the protocol for a prospective, multicenter study.
BMC Med Imaging
January 2025
Department of Ultrasound in Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Background: Benign and malignant breast tumors differ in their microvasculature morphology and distribution. Histologic biomarkers of malignant breast tumors are also correlated with the microvasculature. There is a lack of imaging technology for evaluating the microvasculature.
View Article and Find Full Text PDFEffective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction.
BMC Med Imaging
January 2025
Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!