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Innovative Diagnostic Strategies in Gynecological Cancer Research

Submission Deadline: 31 December 2026 View: 857 Submit to Special Issue

Guest Editor(s)

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

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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

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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

Published Papers


  • Open Access

    ARTICLE

    MicroRNA320e Augments the Synthetic Lethality of Olaparib by Regulating the PI3K-AKT-mTOR Pathway

    Wei Zheng, Qianlong Meng, Yunhan Deng, Ruizhen Liu, Siyu Bai, Longyu Jia, Jing Wang, Huimin Bai
    Oncology Research, DOI:10.32604/or.2026.081656
    (This article belongs to the Special Issue: Innovative Diagnostic Strategies in Gynecological Cancer Research)
    Abstract Objectives: Given the increasing drug resistance in ovarian cancer (OC), the use of poly ADP-ribose polymerase inhibitors (PARPi) for treating homologous recombination repair defects (HRD) has encountered new challenges. MicroRNA320e (miR-320e) exerts a negative regulatory role in the progression of multiple cancers. This study aimed to investigate the association between miR-320e and drug resistance in ovarian cancer. Methods: The Cell Counting Kit-8 (CCK-8) assay, migration and invasion assays, and colony formation assay were employed to evaluate the proliferation, migration, and invasion abilities of cells. Western blot (WB) analysis was used to verify the expression levels… More >

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