Tremendous breakthroughs are being made in cancer drug discovery and development. However, such breakthroughs come at a high financial cost. At a time when there is increasing pressure on drug pricing, in part because of increased life expectancy, it is more important than ever to drive new therapeutics towards patients as efficiently as possible. In this review we discuss the applications of molecular imaging in oncology drug development, with a focus on its ability to enable better early decision making, to increase efficiency and thereby to lower costs.
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http://dx.doi.org/10.1016/j.drudis.2016.09.020 | DOI Listing |
J Cancer Res Clin Oncol
January 2025
Sarcoma Unit, Department of Surgery, University Medical Center and Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
Purpose: The management of soft tissue sarcoma (STS) at reference centers with specialized multidisciplinary tumor boards (MTB) improves patient survival. The German Cancer Society (DKG) certifies sarcoma centers in German-speaking countries, promoting high standards of care. This study investigated the variability in treatment recommendations for localized STS across different German-speaking tertiary sarcoma centers.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Identifying cell types and brain regions critical for psychiatric disorders and brain traits is essential for targeted neurobiological research. By integrating genomic insights from genome-wide association studies with a comprehensive single-cell transcriptomic atlas of the adult human brain, we prioritized specific neuronal clusters significantly enriched for the SNP-heritabilities for schizophrenia, bipolar disorder, and major depressive disorder along with intelligence, education, and neuroticism. Extrapolation of cell-type results to brain regions reveals the whole-brain impact of schizophrenia genetic risk, with subregions in the hippocampus and amygdala exhibiting the most significant enrichment of SNP-heritability.
View Article and Find Full Text PDFNat Commun
January 2025
Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Spatial protein expression technologies can map cellular content and organization by simultaneously quantifying the expression of >40 proteins at subcellular resolution within intact tissue sections and cell lines. However, necessary image segmentation to single cells is challenging and error prone, easily confounding the interpretation of cellular phenotypes and cell clusters. To address these limitations, we present STARLING, a probabilistic machine learning model designed to quantify cell populations from spatial protein expression data while accounting for segmentation errors.
View Article and Find Full Text PDFClin Breast Cancer
December 2024
Hospital Universitario de Bellvitge, Gynecology, Hospitalet de Llobregat, Barcelona, Spain.
Purpose: To validate the Axillary Reverse Mapping (ARM) technique with indocyanine green (ICG), focusing on the detection rate and the procedure's feasibility. The predictive factors for metastatic involvement of ARM nodes are also analyzed to define the target population for ARM indication.
Methods: This prospective, observational, non-randomized study of patients with breast cancer included patients with an indication for axillary lymph node dissection (ALND) performed between June 2021 and June 2023.
Dev Cell
January 2025
New York University, Center for Genomics and Systems Biology, Department of Biology, New York, NY 10003, USA. Electronic address:
The plasticity of plant cells underlies their wide capacity to regenerate, with increasing evidence in plants and animals implicating cell-cycle dynamics in cellular reprogramming. To investigate the cell cycle during cellular reprogramming, we developed a comprehensive set of cell-cycle-phase markers in the Arabidopsis root. Using single-cell RNA sequencing profiles and live imaging during regeneration, we found that a subset of cells near an ablation injury dramatically increases division rate by truncating G1 phase.
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