Predicting Transmission Suitability of Mosquito-Borne Diseases under Climate Change to Underpin Decision Making.

The risk of the mosquito-borne diseases malaria, dengue fever and Zika virus is expected to shift both temporally and spatially under climate change. As climate change projections continue to improve, our ability to predict these shifts is also enhanced. This paper predicts transmission suitability for these mosquito-borne diseases, which are three of the most significant, using the most up-to-date climate change projections.

Prospective Multicenter Study Validate a Prediction Model for Surgery Uptake Among Women with Atypical Breast Lesions.

Background: Diagnosis of atypical breast lesions (ABLs) leads to unnecessary surgery in 75-90% of women. We have previously developed a model including age, complete radiological target excision after biopsy, and focus size that predicts the probability of cancer at surgery. The present study aimed to validate this model in a prospective multicenter setting.

[Risk of axillary recurrence after sentinel lymph node biopsy before neoadjuvant chemotherapy in breast cancer].

Objectives: In case of large breast cancer, neoadjuvant chemotherapy (NAC) can be performed to reduce the size of the tumor and thus perform a conservative surgery. The place of the sentinel lymph node biopsy (SLNB) in case of NAC is still debated. The main aim of this study is to assess the risk of axillary recurrence after negative SLNB before NAC.

Assessment of Ki67 and uPA/PAI-1 expression in intermediate-risk early stage breast cancers.

Background: The objective of this study was to compare the efficacy of biomarkers in assessing the risk of breast cancer recurrence in patients with node-negative or micrometastatic grade II breast cancer. Specifically, we compared risk assessments based on the St. Gallen clinicopathological criteria, Ki67 expression and urokinase plasminogen activator (uPA)/plasminogen activator inhibitor-1 (PAI-1) expression.