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Preclinical Models for Novel Drug Combination in Advanced Ovarian Cancer

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 151

Special Issue Editor


E-Mail Website
Guest Editor
Gynaecological Cancer Research Group, Department of Obstetrics and Gynaecology, University of Otago Christchurch, Christchurch 8011, New Zealand
Interests: ovarian cancer; targeted treatment; 3D cell culture; repurposed drug; inhibitor

Special Issue Information

Dear Colleagues,

Advanced ovarian cancer is predominantly fatal and imposes a significant health burden on patients’ quality of life. Despite notable advancements in drug discovery, options for drug treatment at advanced stages remain limited, albeit viable clinical trials have emerged. The PARP inhibitor family stands out as a well-recognized treatment for patients exhibiting abnormal BRCAness functions. Additionally, antiangiogenic drugs have shown promise in enhancing the efficacy of conventional platinum and Texan regimens. However, the failure rate of this combination regimen, involving both PARP inhibitors and antiangiogenic blockers, remains high. Such ineffectiveness underscores the challenges inherent in the ongoing drug discovery pipeline for ovarian cancer. Hence, this Special Issue on ovarian cancer will primarily focus on novel drug combinations validated in preclinical models. The potential of these novel combinations presents an exciting avenue, potentially leading to the discovery of potent drug combination therapies that can undergo clinical trials. Furthermore, this Special Issue will delve into combinations of repurposed medications and natural products, which hold promise as viable options for testing in preclinical models.

Dr. Kenny Chitcholtan
Guest Editor

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Keywords

  • ovarian cancer
  • drug treatment
  • clinical trials
  • PARP inhibitors
  • 3D cell models

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Published Papers

There is no accepted submissions to this special issue at this moment.
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