P Poonkuzhali, R Krishnamoorthy, Divya Nimma, Janjhyam Venkata Naga Ramesh
{"title":"Prostate cancer prediction through a hybrid deep learning method applied to histopathological image.","authors":"P Poonkuzhali, R Krishnamoorthy, Divya Nimma, Janjhyam Venkata Naga Ramesh","doi":"10.1080/14737140.2025.2512040","DOIUrl":"10.1080/14737140.2025.2512040","url":null,"abstract":"<p><strong>Background: </strong>Prostate Cancer (PCa) is a severe disease that affects males globally. The Gleason grading system is a widely recognized method for diagnosing the aggressiveness of PCa using histopathological images. This system evaluates prostate tissue to determine the severity of the disease and guide treatment decisions. However, manual analysis of histopathological images requires highly skilled professionals and is time-consuming.</p><p><strong>Methods: </strong>To address these challenges, deep learning (DL) is utilized, as it has shown promising results in medical image analysis. Although numerous DL networks have been developed for Gleason grading, many existing methods have limitations such as suboptimal accuracy and high computational complexity. The proposed network integrates MobileNet, an Attention Mechanism (AM), and a capsule network. MobileNet efficiently extracts features from images while addressing computational complexity. The AM focuses on selecting the most relevant features, enhancing the accuracy of Gleason grading. Finally, the capsule network classifies the Gleason grades from histopathological images.</p><p><strong>Results: </strong>The validation of the proposed network used two datasets, PANDA and Gleason-2019. Ablation studies were conducted and evaluated in the proposed architecture. The results highlight the effectiveness of the proposed network.</p><p><strong>Conclusions: </strong>The proposed network outperformed existing approaches, achieving an accuracy of 98.08% on the PANDA dataset and 97.07% on the Gleason-2019 dataset.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"829-843"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding myokine Irisin's function in oral cancer: therapeutic and prognostic consequences.","authors":"Kaviyarasi Renu","doi":"10.1080/14737140.2025.2504471","DOIUrl":"10.1080/14737140.2025.2504471","url":null,"abstract":"","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"719-721"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The new insights of surgery for locally advanced head and neck cancer.","authors":"Yat-Fung Chow, Peter Mu-Hsin Chang","doi":"10.1080/14737140.2025.2507687","DOIUrl":"10.1080/14737140.2025.2507687","url":null,"abstract":"","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"723-725"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Calogero Cipolla, Giuseppa Scandurra, Daniela Sambataro, Chiara Mesi, Martina Greco, Eleonora D'Agati, Vittorio Gebbia, Maria Rosaria Valerio
{"title":"Risk-reducing mastectomy in healthy women with <i>BRCA</i> mutation: a narrative review.","authors":"Calogero Cipolla, Giuseppa Scandurra, Daniela Sambataro, Chiara Mesi, Martina Greco, Eleonora D'Agati, Vittorio Gebbia, Maria Rosaria Valerio","doi":"10.1080/14737140.2025.2513451","DOIUrl":"10.1080/14737140.2025.2513451","url":null,"abstract":"<p><strong>Introduction: </strong>Breast cancer (BC) prevention in BRCA1/2 mutation carriers remains a significant clinical challenge. Risk-reducing mastectomy (RRM) is the most effective preventive option, lowering BC incidence by over 90%. Despite its survival benefit, the decision to undergo RRM is complex and shaped by psychological, social, and healthcare access factors.</p><p><strong>Areas covered: </strong>This narrative review synthesizes evidence on the oncologic efficacy, safety, and outcomes of RRM in BRCA mutation carriers. Literature was identified through PubMed, Scopus, and Web of Science up to March 2025. Large cohort studies and systematic reviews confirm the effectiveness of RRM. Nipple-sparing mastectomy offers comparable oncologic safety with improved cosmetic and psychological outcomes. Histopathologic analyses frequently reveal occult malignancies, supporting the role of early surgery. However, surgical complications, sensory loss, and sexual health impacts remain important considerations.</p><p><strong>Expert opinion: </strong>RRM is cost-effective, especially when performed at younger ages, but disparities in access to genetic testing and surgery persist. Special populations, such as ovarian cancer survivors and those diagnosed before genetic testing, require individualized care. Advances in risk stratification, surgical techniques, and psychosocial support will enhance outcomes. A multidisciplinary, patient-centered approach is essential for informed decision-making.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"797-807"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144157530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computational modeling of breast tissue mechanics and machine learning in cancer diagnostics: enhancing precision in risk prediction and therapeutic strategies.","authors":"Layal Ashi, Sebastien Taurin","doi":"10.1080/14737140.2025.2508850","DOIUrl":"10.1080/14737140.2025.2508850","url":null,"abstract":"<p><strong>Introduction: </strong>Breast cancer remains a significant global health issue. Despite advances in detection and treatment, its complexity is driven by genetic, environmental, and structural factors. Computational methods like Finite Element Modeling (FEM) have transformed our understanding of breast cancer risk and progression.</p><p><strong>Areas covered: </strong>Advanced computational approaches in breast cancer research are the focus, with an emphasis on FEM's role in simulating breast tissue mechanics and enhancing precision in therapies such as radiofrequency ablation (RFA). Machine learning (ML), particularly Convolutional Neural Networks (CNNs), has revolutionized imaging modalities like mammograms and MRIs, improving diagnostic accuracy and early detection. AI applications in analyzing histopathological images have advanced tumor classification and grading, offering consistency and reducing inter-observer variability. Explainability tools like Grad-CAM, SHAP, and LIME enhance the transparency of AI-driven models, facilitating their integration into clinical workflows.</p><p><strong>Expert opinion: </strong>Integrating FEM and ML represents a paradigm shift in breast cancer management. FEM offers precise modeling of tissue mechanics, while ML excels in predictive analytics and image analysis. Despite challenges such as data variability and limited standardization, synergizing these approaches promises adaptive, personalized care. These computational methods have the potential to redefine diagnostics, optimize treatment, and improve patient outcomes.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"727-740"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144085965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ioannis Manolitsis, Konstantinos Kapriniotis, Stamatios Katsimperis, Panagiotis Angelopoulos, Panagiotis Triantafyllou, Theodoros Karagiotis, Patrick Juliebo-Jones, Iraklis Mitsogiannis, Bhaskar Somani, Andreas Skolarikos, Lazaros Tzelves
{"title":"The use of ctDNA for muscle-invasive bladder cancer before and after radical cystectomy.","authors":"Ioannis Manolitsis, Konstantinos Kapriniotis, Stamatios Katsimperis, Panagiotis Angelopoulos, Panagiotis Triantafyllou, Theodoros Karagiotis, Patrick Juliebo-Jones, Iraklis Mitsogiannis, Bhaskar Somani, Andreas Skolarikos, Lazaros Tzelves","doi":"10.1080/14737140.2025.2512036","DOIUrl":"10.1080/14737140.2025.2512036","url":null,"abstract":"<p><strong>Introduction: </strong>Muscle-invasive bladder cancer (MIBC) is an aggressive malignancy with high recurrence rates despite standard treatment with radical cystectomy with neoadjuvant chemotherapy. Conventional imaging and histopathology have limited ability to detect minimal residual disease (MRD) or predict treatment response. Circulating tumor DNA (ctDNA), has emerged as a promising noninvasive biomarker for dynamic tumor monitoring and risk stratification.</p><p><strong>Areas covered: </strong>This review explores the current and emerging applications of ctDNA in MIBC, including its use in neoadjuvant and adjuvant settings, MRD detection, surveillance, and treatment guidance. Key clinical trials, such as IMvigor010/011, ABACUS, NABUCCO, TOMBOLA, MODERN, and VOLGA are discussed, highlighting the prognostic and predictive value of ctDNA across disease stages. Technical and biological limitations are examined, along with challenges related to standardization, cost, and clinical integration.</p><p><strong>Expert opinion: </strong>ctDNA is poised to transform the perioperative management of MIBC by enabling precision-guided treatment decisions. ctDNA assays offer high sensitivity for MRD detection and early relapse prediction. While not yet part of routine clinical practice, ongoing studies will determine whether ctDNA-guided interventions improve patient outcomes. With continued advancements in assay sensitivity, bioinformatics, and integration with radiomic and genomic data, ctDNA is expected to become a cornerstone in the treatment of urothelial carcinoma.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"787-795"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144141883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring different techniques for endoscopic submucosal dissection of gastrointestinal lesions: a review of the literature.","authors":"Giulio Calabrese, Marcello Maida, Darshan Parekh, Yohei Minato, Alessandro Vitello, Alberto Murino, Rui Morais, Emanuele Sinagra, Daryl Ramai, Ken Ohata, Sandro Sferrazza","doi":"10.1080/14737140.2025.2504472","DOIUrl":"10.1080/14737140.2025.2504472","url":null,"abstract":"<p><strong>Introduction: </strong>Endoscopic submucosal dissection (ESD) has revolutionized the management of early gastrointestinal (GI) neoplasms by enabling en bloc resection with high R0 rates. Several modifications of conventional ESD (C-ESD) have been introduced, including pocket-creation (PCM-ESD), tunnel (T-ESD), traction-assisted (TA-ESD), and saline immersion therapeutic endoscopy (SITE-ESD) methods.</p><p><strong>Areas covered: </strong>A comprehensive literature search was conducted across main databases through February 2025 using keywords related to ESD, with studies selected based on their relevance. While no single technique has demonstrated superior efficacy and safety across different GI regions, a tailored and integrative approach to different techniques could enhance effectiveness. PCM-ESD and T-ESD are particularly advantageous circumferential lesions in the esophagus and rectum, whereas TA-ESD significantly reduces procedure time, particularly in colonic lesions. Moreover, PCM-ESD has demonstrated higher effectiveness for colorectal lesions compared to C-ESD. SITE-ESD has shown benefits in colorectal resections by improving trimming, submucosal space visualization and coagulation control.Advanced traction systems and resection tools has optimized ESD performance. However, selecting the most appropriate approach requires careful consideration of lesion characteristics (particularly fibrosis and location).</p><p><strong>Expert opinion: </strong>While conventional ESD remains the foundation, TA and SITE are expected to become the preferred approach in select GI regions during the following years.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"755-769"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144110274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Serin Moghrabi, Raghad Mohammad Al-Houwari, Hikmat Abdel-Razeq, Asem Mansour, Miriam Mikhail-Lette, Ahmed Saad Abdlkadir, Saad Ruzzeh, Diana Paez, Christopher Marton, Akram Al-Ibraheem
{"title":"Integrating PET/CT into breast cancer care: a review of recent developments.","authors":"Serin Moghrabi, Raghad Mohammad Al-Houwari, Hikmat Abdel-Razeq, Asem Mansour, Miriam Mikhail-Lette, Ahmed Saad Abdlkadir, Saad Ruzzeh, Diana Paez, Christopher Marton, Akram Al-Ibraheem","doi":"10.1080/14737140.2025.2513450","DOIUrl":"10.1080/14737140.2025.2513450","url":null,"abstract":"<p><strong>Introduction: </strong>Breast cancer (BC) is the most common malignancy in women, classified by histopathological type, grade, receptor status, and stage. PET/CT, particularly with <sup>18</sup> F-FDG, plays a vital role in staging, detecting metastases, and assessing treatment response. This review explores the role of PET/CT in BC management and emerging radiotracers for enhanced diagnosis. A comprehensive literature search was conducted in PubMed and Scopus, covering studies from January 2000 to March 2025.</p><p><strong>Areas covered: </strong>The paper examines how <sup>18</sup> F-FDG-PET/CT findings are influenced by BC classifications such as histopathological type, grade, receptor status, and stage. FDG uptake varies across subtypes, affecting prognosis and treatment decisions, with limitations noted in hormone receptor-positive cancers. The review also investigates emerging radiotracers, including those targeting estrogen and HER2 receptors, which may improve diagnostic accuracy and potentially replace <sup>18</sup> F-FDG in specific settings. Additionally, theranostic approaches are highlighted, offering personalized treatment based on molecular profiles.</p><p><strong>Expert opinion: </strong>We recommend that physicians incorporate pathological analysis, including histopathological type, grade, and molecular status, when selecting the most appropriate radiotracer for BC diagnostics and treatment. Further research and clinical trials on emerging tracers and theranostic agents are essential to confirm their efficacy and safety.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"771-786"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144316225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Diagnostic accuracy of lateral lymph node metastasis for locally advanced rectal cancer after neoadjuvant therapy: a systematic review and meta-analysis.","authors":"Kosuke Ozaki, Kazushige Kawai, Shimpei Ogawa, Yukihide Kanemitsu, Yoichi Ajioka","doi":"10.1080/14737140.2025.2506646","DOIUrl":"10.1080/14737140.2025.2506646","url":null,"abstract":"<p><strong>Background: </strong>The optimal criteria for lateral lymph node dissection (LLND) in rectal cancer following neoadjuvant therapy remain undefined. This systematic review and meta-analysis evaluated the diagnostic accuracy of lateral lymph node metastasis (LLNM) to refine criteria for selective LLND.</p><p><strong>Research design and methods: </strong>A systematic search of PubMed, Embase, and the Cochrane Library (10 August 2024) identified studies assessing magnetic resonance imaging (MRI)-based LLNM detection in patients with rectal cancer who underwent neoadjuvant therapy and radical surgery. Studies reporting MRI-based LLNM assessments with pathological confirmation were included. Non-English studies, reviews, case reports, and those lacking lymph node size data were excluded. The risk of bias was assessed using QUADAS-2. Pooled sensitivity, specificity, and diagnostic odds ratios were estimated using hierarchical summary receiver operating characteristic curve (HSROC) analysis.</p><p><strong>Results: </strong>Eleven studies met the inclusion criteria. All used MRI-based size assessments. The pooled sensitivity and specificity were 0.776 (95% CI: 0.639-0.872) and 0.694 (95% CI: 0.541-0.813), respectively, with an HSROC area under the curve (AUC) of 0.801.</p><p><strong>Conclusions: </strong>MRI is the most widely used modality for diagnosing LLNM in rectal cancer patients who have undergone neoadjuvant therapy, with size criteria being the most commonly applied.</p><p><strong>Registration: </strong>PROSPERO (CRD42024578499).</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"821-827"},"PeriodicalIF":2.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143985498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Teresa Esposito, Francesca Pentimalli, Antonio Giordano, Salvatore Cortellino
{"title":"Vitamins and dietary supplements in cancer treatment: is there a need for increased usage?","authors":"Teresa Esposito, Francesca Pentimalli, Antonio Giordano, Salvatore Cortellino","doi":"10.1080/14737140.2025.2501077","DOIUrl":"10.1080/14737140.2025.2501077","url":null,"abstract":"<p><strong>Introduction: </strong>Vitamins are essential for homeostasis and proper functioning of organisms. These micronutrients prevent tumor onset by functioning as antioxidants and enzymatic cofactors involved in anti-stress and immune responses, modulating epigenetic regulators, and shaping the microbiota composition. Unbalanced diets and sedentary lifestyles contribute to obesity, associated with increasing cancer risk. Cancer patients often exhibit vitamin deficiencies due to chronic inflammation, anticancer therapies, and tumor-induced metabolic changes, leading to malnutrition and cachexia.</p><p><strong>Areas covered: </strong>This review critically analyzes preclinical and clinical studies, sourced from PubMed and ClinicalTrials.gov databases, that investigate the potential benefits of vitamin supplementation and dietary interventions, such as intermittent fasting and ketogenic diets, in mouse tumor models and cancer patients. This analysis elucidates the limitations of such interventions and suggests optimal dietary strategies to prevent cancer and enhance patients' quality of life and prognosis.</p><p><strong>Expert opinion: </strong>To date, clinical studies have found no substantial benefit of over-the-counter vitamin supplements and dietary interventions on cancer patients' health and prognosis. To prevent the spread of useless and potentially harmful products by the nutraceutical industry, establishing a regulatory authority is necessary to monitor and ensure product quality and validity before commercialization.</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"687-710"},"PeriodicalIF":2.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143987689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}