E10 | 13 min | Latest | Publication Source

• Podcast based on: Javanmard Z, Zarean Shahraki S, Safari K, Omidi A, Raoufi S, Rajabi M, Akbari ME and Aria M (2025) Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis. Front. Oncol. 14:1420328. doi: 10.3389/fonc.2024.1420328 https://doi.org/10.3389/fonc.2024.1420328 Type: Review | Publication date: Jan 7, 2025
• Summary: This systematic review and meta-analysis assesses the use of artificial intelligence (AI) and machine learning (ML) algorithms in predicting breast cancer survival. The study examined 32 articles, finding a mean validation accuracy of 89.73% across various ML methods, with hybrid models showing the highest accuracy. A key limitation highlighted was the prevalent use of internal validation, hindering the generalisability of the models. The research suggests significant potential for AI in breast cancer prediction but emphasises the need for rigorous external validation and improved data handling in future studies to ensure reliable clinical application.
• Keywords: breast cancer, survival prediction, machine learning, deep learning, clinical data, systematic review, meta-analysis

Disclaimer: The content of this podcast is a summary and discussion of the original publication and does not represent the views of the authors or journal. The information shared here is intended for educational purposes only and does not constitute clinical advice or recommendations. It also uses AI-assisted summaries of the original work and may or may not contain innacuracies so we encourage listeners to consult the original publication for complete details.

E9 | 12 min | Latest | Publication Source

• Podcast based on: Clay R, Li K, Jin L. Metabolic Signaling in the Tumor Microenvironment. Cancers. 2025; 17(1):155. https://doi.org/10.3390/cancers17010155 Type: Review | Publication date: Jan 6, 2025
• Summary: This review article examines metabolic signalling within the tumour microenvironment (TME), focusing on how cancer cells reprogram their metabolism to promote growth and suppress anti-tumour immunity. It explores the roles of key metabolites, such as lactate, glutamine, and adenosine, in intercellular communication and the creation of a hostile TME. The article details how these metabolites affect various cell types, including immune cells and stromal cells, influencing their function and contributing to cancer progression. Finally, it discusses potential therapeutic strategies targeting these metabolic pathways to improve cancer treatment outcomes.
• Keywords: cancer metabolism; tumor microenvironment; immune response; oncometabolite

Disclaimer: The content of this podcast is a summary and discussion of the original publication and does not represent the views of the authors or journal. The information shared here is intended for educational purposes only and does not constitute clinical advice or recommendations. It also uses AI-assisted summaries of the original work and may or may not contain innacuracies so we encourage listeners to consult the original publication for complete details.

17 min | Latest | Publication Source

• Podcast based on: Mella C, Tsarouhas P, Brockwell M, Ball HC. The Role of Chronic Inflammation in Pediatric Cancer. Cancers. 2025; 17(1):154. https://doi.org/10.3390/cancers17010154 Type: Review | Publication date: Jan 6, 2025
• Summary: This research review examines the significant role of chronic inflammation in the development and progression of childhood cancers. It highlights key differences between adult and paediatric cancers, emphasising that adult cancer research findings are not directly transferable. The review focuses on how chronic inflammation contributes to genetic and epigenetic instability, shapes the tumour microenvironment, and impacts the immature immune response in children. Finally, it explores current and emerging therapeutic strategies targeting inflammatory processes to improve treatment outcomes in young cancer patients.
• Keywords: cancer; inflammation; epigenetics; therapeutics; immunology

Disclaimer: The content of this podcast is a summary and discussion of the original publication and does not represent the views of the authors or journal. The information shared here is intended for educational purposes only and does not constitute clinical advice or recommendations. It also uses AI-assisted summaries of the original work and may or may not contain innacuracies so we encourage listeners to consult the original publication for complete details.