Results 151 to 160 of about 7,407,357 (265)

The roles and applications of extracellular vesicles in cancer

open access: yesMolecular Oncology, EarlyView.
Extracellular vesicles (EVs) are minute versions of cells limited by a lipid bilayer containing cytoplasm from the cell that releases them, but without a nucleus and thus unable to self‐reproduce. EVs contain multiple molecules (proteins, lipids, glycans, and nucleic acids) they can induce complex responses in cells.
Clotilde Théry, Daniel Louvard
wiley   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

open access: yesMolecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka   +10 more
wiley   +1 more source

Synergy of Body Composition, Exercise Oncology, and Pharmacokinetics: A Narrative Review of Personalizing Paclitaxel Treatment for Breast Cancer. [PDF]

open access: yesCancers (Basel)
Adriaenssens N   +12 more
europepmc   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu   +15 more
wiley   +1 more source

Chain effect of lifecourse reproductive characteristics and body fat and muscle on cardiovascular disease in women: a Mendelian randomization study. [PDF]

open access: yesCardiovasc Diabetol
Liu D   +16 more
europepmc   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

open access: yesMolecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

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