Results 171 to 180 of about 127,702 (262)

The Regulatory Role and Mechanism of Myoferlin in Mitophagy During Papillary Thyroid Carcinogenesis

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Papillary thyroid carcinoma (PTC) is the most prevalent subtype of thyroid cancer; however, the regulatory mechanisms by which mitophagy influences its progression remain inadequately elucidated. This study sought to examine the role of myoferlin (MYOF) in mitophagy and its molecular basis during PTC development. Utilizing three paired PTC and
Wen‐Chao Lyu   +6 more
wiley   +1 more source

DARS2 Promotes Tumorigenesis and Metastasis by Activating PI3K/Akt/GSK‐3β/β‐Catenin Signaling Pathway in Breast Cancer

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Aspartyl‐tRNA synthetase 2 (DARS2), the mitochondrial enzyme responsible for aminoacylation of aspartyl‐tRNA, is traditionally known for its effect on protein synthesis. Recently, DARS2 is reported to be implicated in tumorigenesis. However, its specific effect on breast cancer (BC) is poorly understood.
Na Wang, Ming Huang
wiley   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

open access: yesMass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik   +3 more
wiley   +1 more source

Breast Cancer‐Derived AZU1 Educates Neutrophils to Promote Tumor Progression and Metastasis Through PAD4‐Dependent Extracellular Trap Formation

open access: yesMolecular Carcinogenesis, EarlyView.
ABSTRACT Neutrophil extracellular traps (NETs) play crucial roles in cancer progression, but their regulatory mechanisms in breast cancer remain poorly understood. We developed a NETs‐related prognostic risk model using TCGA breast cancer data and identified key biomarkers through bioinformatics analysis.
Zhen Huang   +9 more
wiley   +1 more source

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