Guest Editors
Prof. Asaturova Aleksandra
Email: a.asaturova@gmail.com
Affiliation: 1st Pathology Department, FSBI «National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov» Ministry of Health of the Russian Federation, Moscow, Russia
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Research Interests: endometrial cancer, cervical cancer, digital pathology
Dr. Alina Badlaeva
Email: alinamagnaeva03@gmail.com
Affiliation: 1st Pathology Department, FSBI «National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov» Ministry of Health of the Russian Federation, Moscow, Russia
Homepage:
Research Interests: ovarian cacner, trophoblastic deseases, genetics
Summary
Gynecological cancers (ovarian, endometrial, cervical, vulvar, and vaginal) remain a leading cause of morbidity and mortality worldwide. A significant factor in their poor prognosis, particularly for ovarian cancer, is the frequent diagnosis at advanced stages due to the lack of specific early symptoms and effective screening tools. While established diagnostic methods like histopathology are indispensable, the era of precision oncology demands a paradigm shift towards earlier, more accurate, and minimally invasive approaches.
This Special Issue, "Innovative Diagnostic Strategies in Gynecological Cancer Research," aims to compile cutting-edge research and comprehensive reviews that highlight the forefront of diagnostic innovation. The focus will extend beyond traditional techniques to explore how novel technologies and integrative approaches can revolutionize risk stratification, early detection, differential diagnosis, prognosis prediction, and real-time monitoring of treatment response in gynecologic oncology.
This Special Issue will focus on, but is not limited to, the following thematic areas:
1. Liquid Biopsy and Circulating Biomarkers
2. Advanced Molecular Profiling and Omics Technologies
3. Artificial Intelligence (AI) and Computational Pathology
4. Novel tissue biomarkers for diagnostics, prognosis and prediction
5. Multi-Modal and Integrative Diagnostic Panels
6. Clinical Validation and Translational Studies
Keywords
gynecological cancer, early diagnosis, liquid biopsy, circulating tumor DNA (ctDNA), biomarkers, artificial intelligence (AI), precision medicine, molecular profiling, next-generation sequencing (NGS), digital pathology, theranostics, minimally invasive diagnostics
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