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Reconfiguring Priorities: Breastfeeding Decision-making Among Young Breast Cancer Survivors.

Cancer Nurs

January 2025

Author Affiliations: Department Research, Hospital Germans Trias i Pujol, Universitat Autonòma de Barcelona; and NURECARE Research Group, Institut d'Investigació i Hospital Germans Trias i Pujol (IGTP), Ctra de Can Ruti, Camí de les Escoles (Dr Huertas-Zurriaga); Department Research, Institut Català Oncologia-Hospital Germans Trias i Pujol; Universitat Autonòma de Barcelona; GRIN Group, IDIBELL, Institute of Biomedical Research; and NURECARE Research Group, IGTP, Ctra de Can Ruti, Camí de les Escoles (Dr Cabrera-Jaime); Tecnocampus University and NURECARE Research Group, IGTP, Ctra de Can Ruti, Camí de les Escoles (Dr Navarri); Oncology Department, Hereditarian Cancer Program, Institut Català Oncologia-Hospital Germans Trias i Pujol, B-ARGO (Badalona Applied Research Group in Oncology), IGTP (Health Research Institute Germans Trias i Pujol), Universitat Autònoma de Barcelona (Dr Teruel-Garcia); and Nursing Research Group in Vulnerability and Health (GRIVIS); and Nursing Department, Faculty of Medicine, Universitat Autònoma de Barcelona (Dr Leyva-Moral), Badalona, Spain.

Background: Breast cancer survivors face unique challenges in breastfeeding decisions. Limited research exists on the experiences and decision-making processes of young women with breast cancer regarding breastfeeding.

Objective: To explain the decision-making processes of young women with breast cancer in relation to breastfeeding throughout the cancer trajectory.

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Background: In clinical practice, several radiopharmaceuticals are used for PSMA-PET imaging, each with distinct biodistribution patterns. This may impact treatment decisions and outcomes, as eligibility for PSMA-directed radioligand therapy is usually assessed by comparing tumoral uptake to normal liver uptake as a reference. In this study, we aimed to compare tracer uptake intraindividually in various reference regions including liver, parotid gland and spleen as well as the respective tumor-to-background ratios (TBR) of different F-labeled PSMA ligands to today's standard radiopharmaceutical Ga-PSMA-11 in a series of patients with biochemical recurrence of prostate cancer who underwent a dual PSMA-PET examination as part of an individualized diagnostic approach.

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GraphkmerDTA: integrating local sequence patterns and topological information for drug-target binding affinity prediction and applications in multi-target anti-Alzheimer's drug discovery.

Mol Divers

January 2025

Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases Ministry of Education, Jiangxi Province Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.

Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. Despite the availability of various existing methods, there are still two limitations. Firstly, sequence-based methods often extract features from fixed length protein sequences, requiring truncation or padding, which can result in information loss or the introduction of unwanted noise.

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The false evidence rate: An approach to frequentist error rate control conditioning on the observed value.

Proc Natl Acad Sci U S A

January 2025

Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, United Kingdom.

A value is conventionally interpreted either as a) the probability by chance of obtaining more extreme results than those observed or b) a tool for declaring significance at a prespecified level. Both approaches carry difficulties: b) does not allow users to make inferences based on the data in hand, and is not rigorously followed by researchers in practice, while (a) is not meaningful as an error rate. Although values retain an important role, these shortcomings are likely to have contributed significantly to the scientific reproducibility crisis.

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Robotic-assisted thoracic surgery has become increasingly utilized in recent years. Complex lung cancer resection surgery can be performed using a robotic approach. It facilitates 3-dimentional visualization of structures, enhanced manipulation of tissues and precise movements.

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