Prognostic and predictive implications of sterile alpha motif and HD domain-containing protein 1 (SAMHD1) expression in breast cancer.

Sterile alpha motif and HD domain-containing protein 1 (SAMHD1) is a dNTP hydrolase important for intracellular dNTP homeostasis and serves as tumor suppressor and modulator of antimetabolite efficacy in cancer, though largely unexplored in breast cancer (BC). A cohort of patients with early BC (n = 564) with available gene expression data (GEP) was used. SAMHD1 protein expression was assessed by immunohistochemistry performed on tissue microarrays.

Benefit from dose-dense adjuvant chemotherapy for breast cancer: subgroup analyses from the randomised phase 3 PANTHER trial.

Background: It is unclear whether some patients with high-risk breast cancer do not warrant adjuvant dose-dense chemotherapy due to small expected absolute benefit.

Methods: The phase 3 PANTHER trial (NCT00798070) compared adjuvant sequential epirubicin/cyclophosphamide (EC) and docetaxel (D) administered in either tailored dose-dense (tDD EC/D) or standard interval schedule (FEC/D) to patients with high-risk resected early breast cancer (n = 2003). We compared outcomes across key subgroups of interest, evaluated the performance of the online prognostication and treatment benefit estimation tool PREDICT and conducted a subpopulation treatment effect pattern plot (STEPP) analysis.

Bone microarchitecture and strength in men and women with PLS3 gene variants assessed with HR-pQCT.

X-linked osteoporosis, caused by PLS3 genetic variants, is a rare bone disease, clinically affecting mainly men. Limited data are available on bone microarchitecture and genotype-phenotype correlations in this disease. Our aims were to assess bone microarchitecture and strength in adults with PLS3 variants using high-resolution peripheral quantitative computed tomography (HR-pQCT) and to explore differences in the phenotype from HR-pQCT between PLS3 variants.

Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA).

Objectives: Total tumor volume (TTV) is associated with overall and recurrence-free survival in patients with colorectal cancer liver metastases (CRLM). However, the labor-intensive nature of such manual assessments has hampered the clinical adoption of TTV as an imaging biomarker. This study aimed to develop and externally evaluate a CRLM auto-segmentation model on CT scans, to facilitate the clinical adoption of TTV.