Recent technological advances in using mouse models to study ovarian cancer

Area of Science:

• Gynecologic Oncology
• Cancer Research
• Translational Medicine

Background:

• Serous epithelial ovarian cancer (SEOC) is the leading cause of gynecologic cancer mortality in the US.
• Disease recurrence significantly contributes to SEOC morbidity and mortality.
• Survival rates for SEOC have stagnated despite advances in understanding molecular mechanisms.

Purpose of the Study:

• To review the development and utility of preclinical mouse models for studying SEOC.
• To highlight advancements in SEOC research methodologies.
• To underscore the potential of improved models for future clinical trial success.

Main Methods:

• Review of existing literature on preclinical ovarian cancer models (xenograft, syngeneic, genetically engineered).
• Discussion of technological advancements, including live animal imaging.
• Analysis of how model improvements enhance understanding of SEOC etiology and dissemination.

Main Results:

• Current preclinical models increasingly mimic human SEOC genotype and phenotype.
• Live animal imaging enables effective monitoring of the tumor microenvironment and therapeutic responses.
• Advancements facilitate deeper insights into SEOC development and treatment resistance.

Conclusions:

• Improved preclinical mouse models are crucial for advancing SEOC research.
• Technological innovations enhance the study and application of these models.
• Enhanced preclinical research is expected to improve outcomes in future SEOC human clinical trials.