E18   |  14 min   |   Latest   |  Publication Source    Podcast based on: Mobley JM, Phillips KI, Chen Q, Reusch E, Reddy N, Magsam JB, McLouth LE, Huang B, Villano JL. Outcomes of Brain Metastasis from Lung Cancer. Cancers. 2025; 17(2):256. https://doi.org/10.3390/cancers17020256Type: Article  |  Publication date: Jan 14, 2025 Summary: This study investigated treatment patterns in 284 Kentucky lung cancer patients with brain metastases, focusing on the 21.8% who received no treatment. Researchers analysed factors influencing treatment decisions, including social history (tobacco use proved statistically significant), disease burden, and access to oncology care. The high incidence of lung cancer in Kentucky provided a relevant context for the study. Findings highlighted potential barriers to care and suggested strategies for improving treatment access and patient outcomes, acknowledging limitations of a retrospective, single-institution study. Keywords: lung cancer; brain metastasis; non-treatment; palliative care Disclaimer:This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. While efforts are made to ensure accuracy, this podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.

E17   |  19 min   |   Latest   |  Publication Source    Podcast based on: Das S, Samaddar S. Recent Advances in the Clinical Translation of Small-Cell Lung Cancer Therapeutics. Cancers. 2025; 17(2):255. https://doi.org/10.3390/cancers17020255Type: Review  |  Publication date: Jan 14, 2025 Summary: This research review comprehensively examines small-cell lung cancer (SCLC), a highly aggressive and often fatal lung cancer. It details SCLC's cellular origins, neuroendocrine characteristics, and diverse subtypes driven by distinct transcriptional regulators. The review also explores the mechanisms of chemoresistance, focusing on DNA damage response pathways, cancer stem cells, and epigenetic reprogramming. Finally, it summarises recent advancements and ongoing clinical trials investigating novel targeted therapies, including immune checkpoint inhibitors, topoisomerase inhibitors, and agents targeting DLL3, HDACs, and PARP. Keywords: small-cell lung cancer; molecular subtypes; chemotherapy; resistance Disclaimer:This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. While efforts are made to ensure accuracy, this podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.

E16   |  16 min   |   Latest   |  Publication Source    Podcast based on: Boydell E, Borgeaud M, Tsantoulis P. Dormant Tumor Cells: Current Opportunities and Challenges in Clinical Practice. Onco. 2025; 5(1):3. https://doi.org/10.3390/onco5010003Type: Review  |  Publication date: Jan 10, 2025 Summary: This research review examines dormant tumour cells, cells that remain inactive after cancer treatment, potentially causing relapse. It explores the molecular mechanisms underlying dormancy, the role of the immune system and microenvironment, and the challenges in detecting these cells clinically. The review also discusses potential therapeutic strategies, including maintaining dormancy, eradicating dormant cells, and targeting the tumour's niche, highlighting the complexities and limitations of current approaches. Finally, it emphasises the need for clinically meaningful endpoints in future trials focusing on dormant tumour cells. Keywords: disseminated tumor cells; dormancy; minimal residual disease; breast cancer Disclaimer:This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. While efforts are made to ensure accuracy, this podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.

E15   |  13 min   |   Latest   |  Publication Source    Podcast based on: Oncina-Cánovas A, Torres-Collado L, García-de-la-Hera M, Compañ-Gabucio LM, González-Palacios S, Signes-Pastor AJ, Vioque J. Association Between Dairy Products Consumption and Esophageal, Stomach, and Pancreatic Cancers in the PANESOES Multi Case–Control Study. Cancers. 2024; 16(24):4151. https://doi.org/10.3390/cancers16244151Type: Article  |  Publication date: Jan 12, 2025 Summary: This research investigated the link between dairy product consumption and the risk of esophageal, stomach, and pancreatic cancers. A case-control study of 1229 participants found that fermented dairy products were associated with a reduced risk of esophageal and stomach cancers, while high consumption of sugary dairy desserts increased stomach cancer risk. No significant association was observed with milk consumption. The study's findings suggest that the type of dairy product consumed is crucial, with beneficial effects from fermented options and potentially harmful effects from sugary desserts. Further research is needed to confirm these findings and explore underlying mechanisms. Keywords: dairy products; fermented dairy; sugary dairy desserts; cancer; esophagus; stomach; pancreas 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.

E14   |  15 min   |   Latest   |  Publication Source    Podcast based on: Herrera RA, Akdemir EY, Kotecha R, Mittauer KE, Hall MD, Kaiser A, Bassiri-Gharb N, Kalman NS, Weiss Y, Romaguera T, et al. Evolving Trends and Patterns of Utilization of Magnetic Resonance-Guided Radiotherapy at a Single Institution, 2018–2024. Cancers. 2025; 17(2):208. https://doi.org/10.3390/cancers17020208Type: Article  |  Publication date: Jan 10, 2025 Summary: This study retrospectively analyses six years of magnetic resonance-guided radiotherapy (MRgRT) use at a single institution. The focus is on the treatment of abdominal and pelvic tumours, utilising high doses and ultra-hypofractionation (UHfx). A significant increase in the use of on-table adaptive radiotherapy (oART) was observed over time, alongside a reduction in treatment times. The study highlights the effectiveness of MRgRT for challenging cases, particularly those involving significant tumour mobility, but acknowledges limitations in generalisability due to the institution's unique treatment patterns and access to multiple advanced radiotherapy platforms. The findings suggest a learning curve and workflow optimisation, leading to improved efficiency and patient outcomes. Keywords: MR-guided radiotherapy; MRgRT; stereotactic ablative radiotherapy; on-table adaptive radiation therapy; stereotactic body radiotherapy; SBRT; SMART; ART; ultra-hypofractionated; treatment patterns 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.

E13   |  10 min   |   Latest   |  Publication Source    Podcast based on: Espirito Santo I, Kefleyesus A, Chilou C, Faes S, Clerc D, Hübner M, Hahnloser D, Grass F. Anal Cancer Screening: 10-Year Experience of a Specialized Outpatient Clinic. Cancers. 2025; 17(2):193. https://doi.org/10.3390/cancers17020193Type: Article  |  Publication date: Jan 9, 2025 Summary: This ten-year longitudinal study from Lausanne University Hospital analysed 537 patients attending a high-resolution anoscopy (HRA) clinic for anal cancer screening. Almost half presented with dysplastic lesions, mostly low-grade, with only a small percentage progressing to more serious conditions. High-risk HPV genotypes, detectable HIV viral load, and initial symptoms were identified as independent risk factors for advanced precancerous lesions. While no patients progressed to invasive cancer during follow-up, the findings highlight the importance of regular screening and early intervention, particularly in high-risk groups, to prevent anal cancer progression. The study also resulted in a refined institutional screening algorithm. Keywords: anal cancer; high-resolution anoscopy; HPV testing; anal dysplasia; screening; algorithm; HIV; MSM 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.

E12   |  10 min   |   Latest   |  Publication Source    Podcast based on: Muresu N, Sechi I, Puci MV, Dettori M, Piana A. Beliefs and Perceptions in Attending the Cervical Screening: The COMUNISS Project Experience. Cancers. 2025; 17(2):190. https://doi.org/10.3390/cancers17020190Type: Communication  |  Publication date: Jan 9, 2025 Summary: This study, conducted as part of the COMUNISS project, investigated factors influencing cervical cancer screening participation in a North Sardinian population. A web-based survey using the Health Belief Model assessed women's knowledge, beliefs, and perceptions regarding HPV and cervical cancer prevention. Results revealed significant knowledge gaps and highlighted the influence of perceived barriers and benefits on screening uptake. The study also explored the use of vaginal self-sampling for HPV-DNA testing, finding a low return rate despite high initial interest. The findings emphasise the need for targeted educational interventions and improved communication strategies to increase screening participation and address knowledge gaps. Keywords: human papillomavirus; cervical cancer; health education; health belief model 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.

E11   |  15 min   |   Latest   |  Publication Source    Podcast based on: Lee HJ, Lee B. Impacts of Postoperative Adjuvant Therapies on the Survival of Women with High-Risk Early-Stage Endometrial Cancer: A Cohort Study. Cancers. 2025; 17(2):187. https://doi.org/10.3390/cancers17020187Type: Article  |  Publication date: Jan 7, 2025 Summary: This Korean cohort study investigated the impact of various postoperative adjuvant therapies on the overall survival (OS) of women with high-risk early-stage endometrial cancer. The researchers analysed data from 1341 patients, comparing OS across different treatment groups including radiotherapy, chemotherapy, and hormone therapy. Results indicated that most adjuvant therapies yielded similar OS rates, except for adjuvant radiotherapy after chemotherapy, which showed significantly lower survival. The study also revealed differences in OS based on the type of cancer histology (endometrioid versus non-endometrioid). These findings offer valuable insights for selecting appropriate adjuvant therapies for this patient population, though further research is needed due to limitations in sample size for certain treatments. Keywords: endometrial cancer; adjuvant therapy; radiotherapy; chemotherapy; hormone therapy 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.

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.2024.1420328https://doi.org/10.3389/fonc.2024.1420328Type: 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/cancers17010155Type: 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.

E8   |   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/cancers17010154Type: 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.

E7   |   13 min   |   Latest   |  Publication Source    Podcast based on: Hara T, Meng S, Arao Y, Saito Y, Inoue K, Alshammari AH, Hatakeyama H, di Luccio E, Vecchione A, Hirotsu T, et al. Non-Invasive Detection of Tumors by Volatile Organic Compounds in Urine. Biomedicines. 2025; 13(1):109. https://doi.org/10.3390/biomedicines13010109Type: Review  |  Publication date: Jan 6, 2025 Summary: This review article examines the potential of volatile organic compounds (VOCs) in urine as non-invasive cancer biomarkers. It explores several detection methods, including mass spectrometry analysis of VOC profiles in various cancers, the use of trained organisms (dogs and nematodes) to detect cancer-specific odours, and the development of artificial sensors for VOC detection. The article highlights the advantages and limitations of each approach, focusing on improving diagnostic accuracy and identifying specific VOCs linked to different cancers for earlier diagnosis. Future research directions involve refining diagnostic models, understanding the mechanisms of odour detection in organisms, and enhancing the capabilities of artificial sensors. Keywords: cancer; biomarkers; diagnostics; volatile organic compounds; olfactory receptors 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.

E6   |   10 min   |   Latest   |  Publication Source    Podcast based on: Alerasool P, Zhou S, Miller E, Anker J, Tsao B, Kyprianou N, Tsao C-K. A Personalized Approach for Oligometastatic Prostate Cancer: Current Understanding and Future Directions. Cancers. 2025; 17(1):147. https://doi.org/10.3390/cancers17010147Type: Review  |  Publication date: Jan 5, 2025 Summary: This research review examines oligometastatic prostate cancer (OMPC), an intermediate stage between localised and widespread disease offering potential for cure. The article explores diagnostic challenges, focusing on PSMA PET scans, and reviews current treatment strategies, including metastasis-directed therapy (MDT) and combinations of systemic therapies with prostate cytoreduction. Ongoing clinical trials investigating MDT and various systemic therapies are highlighted, alongside the potential of artificial intelligence for personalised treatment. The authors emphasise the need for clearer OMPC definitions and the development of predictive biomarkers to optimise treatment selection and improve patient outcomes. Future directions focus on improving diagnostic accuracy, developing novel therapies, and leveraging artificial intelligence to refine treatment strategies. Keywords: prostate cancer; oligometastatic disease; oligometastasis; stereotactic body radiotherapy; focal therapy; androgen deprivation therapy; metastasis-directed therapy; castration-resistant prostate cancer; PSMA PET scan; radical prostatectomy   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.

E5   |   14 min   |   Latest   |  Publication Source    Podcast based on: Sipos D, Raposa BL, Freihat O, Simon M, Mekis N, Cornacchione P, Kovács Á. Glioblastoma: Clinical Presentation, Multidisciplinary Management, and Long-Term Outcomes. Cancers. 2025; 17(1):146. https://doi.org/10.3390/cancers17010146Type: Review  |  Publication date: Jan 5, 2025 Summary: This document comprehensively examines glioblastoma, the most aggressive form of brain cancer. It details the disease's diagnosis, utilising advanced imaging and molecular markers like IDH mutation and MGMT methylation status for prognosis. Standard treatment, involving surgery, radiation, and chemotherapy (temozolomide), is discussed alongside emerging therapies such as TTFields and immunotherapies. The text also addresses the importance of managing symptoms and providing psychological support for patients and their families to improve quality of life, while acknowledging the ongoing need for research and clinical trials to improve outcomes. Finally, typical survival rates and factors influencing prognosis are presented. Keywords: glioblastoma; prognosis; treatment; survival; outcome 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.

E4   |   10 min   |   Latest   |  Publication Source    Podcast based on: Chiu T-M, Li Y-C, Chi I-C, Tseng M-H. AI-Driven Enhancement of Skin Cancer Diagnosis: A Two-Stage Voting Ensemble Approach Using Dermoscopic Data. Cancers. 2025; 17(1):137. https://doi.org/10.3390/cancers17010137Type: Article  |  Publication date: Jan 3, 2025 Summary: This research paper details the development and validation of an AI model for skin cancer diagnosis using dermoscopic images. A two-stage classification approach, employing an ensemble of pre-trained convolutional neural networks and vision transformers, significantly improved diagnostic accuracy and drastically reduced false negatives in both a Western (ISIC) and Eastern (CSMUH) dataset. The model distinguishes between melanoma, non-melanoma skin cancers, and benign cases, aiding clinicians in prioritising treatment. The study highlights the potential for AI to enhance skin cancer diagnosis, particularly in resource-constrained settings, though limitations regarding computational demands and dataset size are acknowledged. Keywords: malignant melanoma; dermoscopic images; voting ensemble learning; two-stage classification strategy 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.

E3   |   20 min   |   Latest   |  Publication Source    Podcast based on: Geirnaert F, Kerkhove L, Montay-Gruel P, Gevaert T, Dufait I, De Ridder M. Exploring the Metabolic Impact of FLASH Radiotherapy. Cancers. 2025; 17(1):133. https://doi.org/10.3390/cancers17010133Type: Review  |  Publication date: Jan 3, 2025 Summary: This review article examines the metabolic effects of flash radiotherapy (flash RT), a novel cancer treatment delivering radiation at ultra-high dose rates. The authors explore how flash RT impacts cellular metabolism differently in healthy versus cancerous tissues, focusing on reactive oxygen species (ROS), iron metabolism, lipid peroxidation, and mitochondrial function. Key findings suggest flash RT reduces ROS-induced damage in healthy tissue by preserving mitochondrial integrity and attenuating lipid peroxidation, while still effectively targeting tumours. The review highlights the need for further research using more complex biological systems to fully understand and optimise flash RT's clinical potential. Keywords: FLASH radiotherapy; FLASH effect; ultrahigh dose rate radiotherapy; metabolism; reactive oxygen species; mitochondria; lipid peroxidation 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.

E2   |   8 min   |   Latest   |  Publication Source    Podcast based on: Schleifenbaum, J.K., Morgenthaler, J., Sharma, S.J. et al. Optimising (re-)irradiation for locally recurrent head and neck cancer: impact of dose-escalation, salvage surgery, PEG tube and biomarkers on oncological outcomes—a single centre analysis. Radiat Oncol 20, 1 (2025). https://doi.org/10.1186/s13014-024-02570-yType: Article  |  Publication date: Jan 2, 2025 Summary: This single-centre retrospective study analysed outcomes for 101 patients with locally recurrent head and neck squamous cell carcinoma (HNSCC) treated with radiotherapy (RT), with or without chemotherapy or immunotherapy, between 2010 and 2018. The study identified several prognostic factors influencing overall survival (OS), including whether patients received initial RT versus re-irradiation (re-RT), the presence of a percutaneous endoscopic gastrostomy (PEG) tube, the Glasgow Prognostic Score, and the administered radiation dose. Salvage surgery before RT was a positive prognostic factor, while re-RT was associated with significantly poorer OS. The study highlights the need for larger prospective trials to confirm these findings and refine treatment strategies. Keywords: Recurrent head and neck cancer, Reirradiation, Salvage therapy, PEG tube, Inflammation, Biomarkers 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.

E1   |   12 min   |   Latest   |  Publication Source    Podcast based on: Falick Michaeli T, Hatoom F, Skripai A, Wajnryt E, Allweis TM, Paluch-Shimon S, Shachar Y, Popovtzer A, Wygoda M, Blumenfeld P. Complication Rates After Mastectomy and Reconstruction in Breast Cancer Patients Treated with Hypofractionated Radiation Therapy Compared to Conventional Fractionation: A Single Institutional Analysis. Cancers. 2025; 17(1):106. https://doi.org/10.3390/cancers17010106Type: Article  |  Publication date: Jan 1, 2025 Summary: This single-institution retrospective study compared complication rates after post-mastectomy radiotherapy (PMRT) using hypofractionated (HF) versus conventional fractionation (CF) in 59 breast cancer patients who underwent reconstruction. Keywords: breast cancer; PMRT; hypofractionation; breast reconstruction; implant complications 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.