Publications by authors named "R Rouzier"

Background: Breast reconstruction practices, predominantly implant-based, have evolved, with meshes aiding in overcoming traditional limitations. However, data comparing mesh-assisted prepectoral reconstruction with implants alone are lacking. This study aimed to assess whether synthetic meshes in prepectoral reconstruction impact postoperative complications.

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Despite early diagnosis, approximately 20% of patients with ER-positive and HER2-negative breast cancer (BC) will experience disease recurrence. Improved survival has been reported with adjuvant treatment combining cyclin-dependent kinase 4/6 inhibitors with endocrine therapy, in high-risk patients with ER-positive and HER2-negative BC, regardless of age. Older patients have higher rates of ER-positive/HER2-negative BC than younger patients.

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Background: Neoadjuvant chemotherapy followed by interval debulking surgery is currently a common treatment option for advanced epithelial ovarian cancer (EOC). The Standardized CA-125 ELIMination rate constant K (Std KELIM) and the Platinum Resistant Recurrence (PtRR) Score have been proposed as markers of tumor chemosensitivity. The aim of our study was to validate these tools for predicting platinum sensitivity in a real-world population of patients with advanced EOC treated with neoadjuvant chemotherapy.

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Article Synopsis
  • The study aimed to create and validate a model to predict the mean age of breast cancer diagnosis at the country level using data from the CI5plus database and World Bank statistics.
  • The model incorporates fixed effects like population age, GDP per capita, and fertility rate, along with continent as a random effect, achieving high accuracy in predicting diagnosis ages.
  • Its results, showing that demographic factors can explain 81% of the variance in diagnosis age, suggest this model could guide breast cancer screening programs in countries lacking prevention initiatives.
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Article Synopsis
  • Ovarian cancer, a leading cause of gynecological cancer deaths, often becomes resistant to chemotherapy, highlighting the urgency for new treatment approaches and predictive biomarkers.
  • The OVAREX study investigates the feasibility of creating patient-derived tumor models (like PDX, PDTO, and ADS) to predict clinical outcomes for ovarian cancer patients undergoing treatment.
  • This research aims to validate the predictive capabilities of these models by comparing their responses to treatments with actual patient outcomes, potentially enhancing clinical decision-making.
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