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Tackling Drug Resistance in Ovarian Cancer: Mechanisms, Biomarkers, and Emerging Therapeutics

Edited by:

Murali Yallapu, PhD, The University of Texas Rio Grande Valley, United States
Sham S. Kakar, PhD, University of Louisville, United States
 

Submission Status: Open   |   Submission Deadline: 4 March 2026 
 

Journal of Ovarian Research is calling for submissions to our Collection on Tackling Drug Resistance in Ovarian Cancer: Mechanisms, Biomarkers, and Emerging Therapeutics.


Image credit: © Nadzeya Haroshka

New Content ItemThis Collection supports and amplifies research related to SDG 3: Good Health & Well-Being.

Meet the Guest Editors

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Murali Yallapu, PhD, The University of Texas Rio Grande Valley, United States

My laboratory research aims to study the fate of nanoformulations to gain insights into biological factors responsible for effective and targeted delivery and treatment. Translationally, my work focuses on identifying novel therapeutic strategies, including targeted delivery and immunotherapy systems for therapeutic macromolecules, anti-tumor drug formulations, multi-functional self-assembling polymer materials, and their applications in photodynamic, hyperthermia, and imaging for cancer therapeutics. The overall goal is to devise advanced delivery and immunotherapy systems tailored to individual cancer patients. Despite advances in diagnostics and treatments, cancer remains the second leading cause of mortality in the U.S., with drug resistance being a major clinical obstacle. Therefore, developing novel therapeutic strategies is crucial. Our research investigates the improved therapeutic potential of clinical drugs using nanotechnology. Additionally, through the Cancer Immunology Institute, we aim to generate safe and effective nanoformulations for cancer immunotherapy.
 

Sham S. Kakar, PhD, University of Louisville, United States

 

About the Collection

Ovarian cancer remains one of the most aggressive and fatal gynecologic malignancies, characterized by high rates of recurrence and poor long-term survival, largely attributable to the emergence of multidrug resistance. Although significant progress has been made in cytoreductive surgical techniques and platinum- and taxane-based chemotherapy, as well as the incorporation of targeted therapies and immunotherapies, therapeutic resistance remains a formidable obstacle in clinical management. The multifactorial nature of drug resistance encompassing genetic alterations, epigenetic reprogramming, metabolic adaptations, and the influence of the tumor microenvironment demands a deeper mechanistic understanding to inform the development of next-generation therapeutic strategies.

This special issue seeks to present a comprehensive and cutting-edge synthesis of recent advances in elucidating the molecular and cellular determinants of drug resistance in ovarian cancer. We welcome original research articles, authoritative reviews, and expert perspectives focusing on the identification and validation of predictive biomarkers, elucidation of chemoresistance and targeted therapy resistance pathways, design of novel nanotechnology-enabled drug delivery systems, and rational combinatorial treatment approaches aimed at circumventing resistance and improving clinical outcomes.

Relevant topics related to this special issue:

1. Mechanisms of Drug Resistance
•    Molecular mechanisms underlying platinum and taxane resistance
•    Role of epithelial-mesenchymal transition (EMT) and cancer stem cells in drug resistance
•    DNA damage repair pathways (BRCA mutations, homologous recombination deficiency) and therapy resistance
•    Epigenetic regulation contributing to chemoresistance
•    Metabolic reprogramming and its role in drug resistance
•    Exosomal communication in transferring drug-resistant phenotypes

2. Tumor Microenvironment and Drug Resistance
•    Impact of hypoxia, immune evasion, and stromal interactions
•    Role of cancer-associated fibroblasts and extracellular matrix
•    Tumor immune microenvironment and immune checkpoint resistance

3. Novel Biomarkers for Predicting Drug Response
•    Genomic, transcriptomic, proteomic, and metabolomic signatures
•    Liquid biopsy-based biomarkers (ctDNA, circulating exosomes)
•    Role of non-coding RNAs (miRNAs, lncRNAs, circRNAs) in drug resistance

4. Overcoming Drug Resistance: Therapeutic Innovations
•    Novel small molecules targeting resistant pathways
•    Repurposing old drugs to overcome chemoresistance
•    Combination therapies with PARP inhibitors, PI3K inhibitors, and immune checkpoint inhibitors
•    Nanotechnology-based drug delivery systems targeting drug-resistant ovarian cancer cells

5. Immunotherapy and Resistance
•    Mechanisms of resistance to immune checkpoint inhibitors
•    CAR-T and NK cell therapies for drug-resistant ovarian cancer
•    Tumor immune escape mechanisms

6. Clinical Advances and Challenges
•    Current clinical trials targeting drug-resistant ovarian cancer
•    Translating bench side discoveries into bedside therapies
•    Real-world challenges in managing drug-resistant ovarian cancer patients

7. Future Perspectives
•    Personalized and precision medicine approaches
•    Artificial intelligence and machine learning in predicting drug resistance
•    Multi-omics integration for developing predictive models
 

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original research articles, authoritative reviews, and expert perspectives. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. 

Articles for this Collection should be submitted via our submission system, Snapp. Please, select the appropriate Collection title “Tackling Drug Resistance in Ovarian Cancer: Mechanisms, Biomarkers, and Emerging Therapeutics" under the “Details” tab during the submission stage.

Articles will undergo the journal’s standard peer-review process and are subject to all the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer-review process. The peer-review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.