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ASO Visual Abstract: Is Sublobar Resection Feasible for High-Risk Pathological Stage I Non-small Cell Lung Cancer?
Ann Surg Oncol
January 2025
Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Physiology and Pathophysiology of Marathon Running: A narrative Review.
Sports Med Open
January 2025
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
Background: Marathon training and running have many beneficial effects on human health and physical fitness; however, they also pose risks. To date, no comprehensive review regarding both the benefits and risks of marathon running on different organ systems has been published.
Main Body: The aim of this review was to provide a comprehensive review of the benefits and risks of marathon training and racing on different organ systems.
A compendium of Amplification-Related Gain Of Sensitivity genes in human cancer.
Nat Commun
January 2025
European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, Netherlands.
While the effect of amplification-induced oncogene expression in cancer is known, the impact of copy-number gains on "bystander" genes is less understood. We create a comprehensive map of dosage compensation in cancer by integrating expression and copy number profiles from over 8000 tumors in The Cancer Genome Atlas and cell lines from the Cancer Cell Line Encyclopedia. Additionally, we analyze 17 cancer open reading frame screens to identify genes toxic to cancer cells when overexpressed.
View Article and Find Full Text PDFUtilizing TP53 hotspot mutations as effective predictors of gemcitabine treatment outcome in non-small-cell lung cancer.
Cell Death Discov
January 2025
Institute of Biopharmaceutical Sciences, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
TP53 mutations are recognized to correlate with a worse prognosis in individuals with non-small cell lung cancer (NSCLC). There exists an immediate necessity to pinpoint selective treatment for patients carrying TP53 mutations. Potential drugs were identified by comparing drug sensitivity differences, represented by the half-maximal inhibitory concentration (IC50), between TP53 mutant and wild-type NSCLC cell lines using database analysis.
View Article and Find Full Text PDFIntegrating representation learning, permutation, and optimization to detect lineage-related gene expression patterns.
Nat Commun
January 2025
Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA.
Recent barcoding technologies allow reconstructing lineage trees while capturing paired single-cell RNA-sequencing (scRNA-seq) data. Such datasets provide opportunities to compare gene expression memory maintenance through lineage branching and pinpoint critical genes in these processes. Here we develop Permutation, Optimization, and Representation learning based single Cell gene Expression and Lineage ANalysis (PORCELAN) to identify lineage-informative genes or subtrees where lineage and expression are tightly coupled.
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