Beyond 2D cell cultures: how 3D models are changing the study of ovarian cancer and how to make the most of them.

3D cell cultures are a fundamental tool in ovarian cancer research that can enable more effective study of the main features of this lethal disease, including the high rates of recurrence and chemoresistance. A clearer, more comprehensive understanding of the biological underpinnings of these phenomena could aid the development of more effective treatments thus improving patient outcomes. Selecting the most appropriate model to investigate the different aspects of cell biology that are relevant to cancer is challenging, especially since the assays available for the study of 3D cultures are not fully established yet.

Accurate Identification of Cancer Cells in Complex Pre-Clinical Models Using a Deep-Learning Neural Network: A Transfection-Free Approach.

3D co-cultures are key tools for in vitro biomedical research as they recapitulate more closely the in vivo environment while allowing a tighter control on the culture's composition and experimental conditions. The limited technologies available for the analysis of these models, however, hamper their widespread application. The separation of the contribution of the different cell types, in particular, is a fundamental challenge.

Cell-free DNA from ascites identifies clinically relevant variants and tumour evolution in patients with advanced ovarian cancer.

The emergence of targeted therapies has transformed ovarian cancer treatment. However, biomarker profiling for precision medicine is limited by access to quality, tumour-enriched tissue samples. The use of cell-free DNA (cfDNA) in ascites presents a potential solution to this challenge.

Cell-free DNA in plasma and ascites as a biomarker of bevacizumab response- a translational research sub-study of the REZOLVE (ANZGOG-1101) clinical trial.

Objective: To investigate cell-free DNA (cfDNA) in plasma and ascites and its association with clinical outcomes (paracentesis-free interval, overall survival) and CA125 level in participants with advanced ovarian cancer, treated with palliative intraperitoneal bevacizumab to delay re-accumulation of ascites.

Methods: cfDNA was extracted from 0.3 to 1 mL samples from 20/24 participants of the REZOLVE trial.

Circulating cell-free DNA is elevated in postmenopausal compared with pre- and perimenopausal women.

Objective: With the rising use of circulating cell-free DNA (cirDNA) liquid biopsies for disease screening, it is important to understand biological differences that may impact the accuracy of cirDNA-based clinical tests. Although a number of biological factors have been researched, the relationship between menopause and cirDNA has not been thoroughly investigated. We aimed to compare plasma cirDNA concentration and DNA fragment integrity in healthy women pre- and postmenopause.