Personalised Medicine in Cervical Cancer: Evaluating Therapy Resistance Through Multi-Model Approaches

Area of Science:

• Oncology
• Translational Medicine
• Genomics

Background:

• Cervical cancer is a global health burden, particularly in low-income countries.
• Human papillomavirus (HPV) and HIV co-infections are prevalent, complicating treatment.
• Treatment resistance to chemotherapy, linked to cellular senescence, necessitates personalized strategies.

Purpose of the Study:

• To evaluate the predictive utility of ex vivo methods for patient-specific cervical cancer therapy responses.
• To analyze cell viability, senescence markers, and resistance pathways in response to various chemotherapies.

Main Methods:

• Culturing cervical cancer biopsy samples.
• Subjecting cultured cells to diverse chemotherapies.
• Analyzing cell viability, senescence markers, and treatment resistance pathways.

Main Results:

• Ex vivo methods exhibited limitations in predicting patient-specific therapy responses.
• Significant variability observed in optimal treatment outcomes across patients.
• No single experimental model offered comprehensive predictive insights.

Conclusions:

• Integrative and multidisciplinary approaches are vital for evaluating cervical cancer treatment strategies.
• Combining multiple ex vivo experimental methods enhances understanding of treatment response and resistance.
• Standardizing or combining methods can advance personalized medicine in resource-limited settings.