In Vivo Gene Silencing and Cotreatment with Tamoxifen for Luminal A Breast Cancer Therapy.

Background: Acquired resistance and adverse effects are some of the challenges faced by thousands of Luminal A breast cancer patients under tamoxifen (TMX) treatment. Some authors associate the overexpression of HOXB7 with TMX resistance in this molecular subtype, and the knockdown of this gene could be an effective strategy to regain TMX sensitivity. Therefore, we used calcium phosphate hybrid nanoparticles (HNP) for the delivery of short interfering RNA molecule (siRNA) complementary to the HOXB7 gene and evaluated the RNA interference (RNAi) effects associated with TMX treatment in breast cancer in vivo.

Highlight selection of radiochemistry and radiopharmacy developments by editorial board.

Background: The Editorial Board of EJNMMI Radiopharmacy and Chemistry releases a biannual highlight commentary to update the readership on trends in the field of radiopharmaceutical development.

Main Body: This selection of highlights provides commentary on 19 different topics selected by each coauthoring Editorial Board member addressing a variety of aspects ranging from novel radiochemistry to first-in-human application of novel radiopharmaceuticals.

Conclusion: Trends in radiochemistry and radiopharmacy are highlighted.

The Pattern of GH Action in the Mouse Brain.

GH acts in numerous organs expressing the GH receptor (GHR), including the brain. However, the mechanisms behind the brain's permeability to GH and how this hormone accesses different brain regions remain unclear. It is well-known that an acute GH administration induces phosphorylation of the signal transducer and activator of transcription 5 (pSTAT5) in the mouse brain.

Comparison of Point Cloud Registration Techniques on Scanned Physical Objects.

This paper presents a comparative analysis of six prominent registration techniques for solving CAD model alignment problems. Unlike the typical approach of assessing registration algorithms with synthetic datasets, our study utilizes point clouds generated from the Cranfield benchmark. Point clouds are sampled from existing CAD models and 3D scans of physical objects, introducing real-world complexities such as noise and outliers.