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Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.

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Objectives: Cardiac biomarkers are useful for the diagnostic and prognostic assessment of myocardial injury (MI) and heart failure. By measuring specific proteins released into the bloodstream during heart stress or damage, these biomarkers help clinicians detect the presence and extent of heart injury and tailor appropriate treatment plans. This study aims to provide robust biological variation (BV) data for cardiac biomarkers in athletes, specifically focusing on those applied to detect or exclude MI, such as myoglobin, creatine kinase-myocardial band (CK-MB) and cardiac troponins (cTn), and those related to heart failure and cardiac dysfunction, brain natriuretic peptide (BNP) and N-terminal brain natriuretic pro-peptide (NT-proBNP).

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Background: Major mutations (e.g., KRAS, GNAS, TP53, SMAD4) in pancreatic cyst fluid (PCF) are useful for classifying and risk stratifying certain cyst types, particularly in cases with nondiagnostic cytology.

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Hepatitis B virus (HBV) infects cells by attaching to heparan sulfate proteoglycans (HSPG) and Na/taurocholate cotransporting polypeptide (NTCP). The endothelial lipase LIPG bridges HSPG and HBV, facilitating HBV attachment. From a randomized peptide expression library, we identified a short sequence binding to LIPG.

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HLA-C*03:657 differs from HLA-C*03:04:01:02 by one nucleotide substitution in codon 82 in exon 2.

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