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Background: Altered metabolism is one of the cancer hallmarks. The role of circRNAs in cancer metabolism is poorly studied. Specifically, the impact of circPVT1, a well-known oncogenic circRNA on triple negative breast cancer metabolism is mechanistically underexplored.
Methods: The clinical significance of circPVT1 expression levels was assessed in human breast cancer samples using digital PCR and the cancer genome atlas (TCGA) dataset. The oncogenic activity of circPVT1 was assessed in TNBC cell lines and in MCF-10 A breast cell line by either ectopic expression or depletion of circPVT1 molecule. CircPVT1 mediated metabolic perturbation was assessed by 1 H-NMR spectroscopy metabolic profiling. The binding of circPVT1 to miR-33a-5p and c-Myc recruitment onto the Glutaminase gene promoter were assessed by RNA immunoprecipitation and chromatin immunoprecipitation assays, respectively. The circPVT1/miR-33a-5p/Myc/GLS1 axis was functionally validated in breast cancer patients derived organoids. The viability of 2D and PDO cell models was assessed by ATP light assay and Opera Phenix plus high content screening.
Results: We initially found that the expression of circPVT1 was significantly higher in tumoral tissues than in non-tumoral breast tissues. Basal like breast cancer patients with higher levels of circPVT1 exhibited shorter disease-free survival compared to those with lower expression. CircPVT1 ectopic expression rendered fully transformed MCF-10 A immortalized breast cells and increased tumorigenicity of TNBC cell lines. Depletion of endogenous circPVT1 reduced tumorigenicity of SUM-159PT and MDA-MB-468 cells. 1 H-NMR spectroscopy metabolic profiling of circPVT1 depleted breast cancer cell lines revealed reduced glycolysis and glutaminolitic fluxes. Conversely, MCF-10 A cells stably overexpressing circPVT1 exhibited increased glutaminolysis. Mechanistically, circPVT1 sponges miR-33a-5p, a well know metabolic microRNA, which in turn releases c-MYC activity promoting transcriptionally glutaminase. This activity facilitates the conversion of glutamine to glutamate. CircPVT1 depletion synergizes with GLS1 inhibitors BPTES or CB839 to reduce cell viability of breast cancer cell lines and breast cancer-derived organoids.
Conclusions: In aggregate, our findings unveil the circPVT1/miR-33a-5p/Myc/GLS1 axis as a pro-tumorigenic metabolic event sustaining breast cancer transformation with potential therapeutic implications.
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http://dx.doi.org/10.1186/s13046-025-03355-1 | DOI Listing |
J Cell Mol Med
September 2025
College of Basic Medical Sciences, Dalian Medical University, Dalian, China.
Berberine (BBR) is an isoquinoline alkaloid with a variety of biological activities, including anti-microbial and anti-tumoral activities. However, the cellular targets of BBR and the roles of BBR in the radiosensitivity of breast cancer cells are not well defined. In this study, we investigated the effects of BBR on the radiosensitivity of BT549 triple-negative breast cancer cells.
View Article and Find Full Text PDFClin Breast Cancer
August 2025
Department of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, School of Pharmacy, Fujian Medical University, Fuzhou, China. Electronic address:
Background: Emerging evidence suggests that the gut microbiota (GM) may influence the progression of breast cancer by modulating immune responses. Given the vast diversity of GM and immune cell phenotypes, this study aimed to utilize the most advanced and comprehensive data to explore the causal relationships among the GM, immune cell phenotypes, and survival rates in hormone receptor-positive (HR+) breast cancer patients under different treatment regimens.
Methods: We investigated the causal relationships between the GM, immune cell phenotypes, and survival rates in HR+ breast cancer patients treated with 11 distinct therapeutic strategies using Mendelian randomization.
Acad Radiol
September 2025
Department of General Surgery, Abdulkadir Yuksel State Hospital, Gaziantep, Turkey (A.N.Ş.).
Nihon Hoshasen Gijutsu Gakkai Zasshi
September 2025
Department of Radiological Technology, Faculty of Health Sciences, Gifu University of Medical Science.
Purpose: We aimed to develop an AI-based system to score the positioning in mammography (MG), with the goal of establishing a foundation for future technical support.
Methods: Using 800 mediolateral oblique (MLO) images, we developed an AI model (Mask Generation Model) for automatic extraction of three regions: the pectoralis major muscle, the mammary gland region, and the nipple. Using this model, we extracted three regions from 1544 MLO images and generated mask images.
Anal Chim Acta
November 2025
Department of Breast Surgery, General Surgery Center, First Hospital of Jilin University, Changchun, PR China. Electronic address:
Background: Breast-conserving surgery (BCS) is the primary surgical approach for patients with breast cancer. The accurate determination of surgical margins during BCS is critical for patient prognosis; however, time constraints and limitations in current pathological techniques often prevent pathologists from performing this assessment intraoperatively. The inability to reliably assess margins during surgery can lead to incomplete tumor removal and the need for additional surgeries.
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