Aim: To validate the analytical performance of a 12-gene molecular assay that predicts distant recurrence for early-stage ER+/HER2- invasive breast cancer as run within a central reference laboratory.
Materials & Methods: Formalin-fixed paraffin-embedded breast resections were evaluated by quantitative reverse transcription polymerase chain reaction for the expression of eight target genes, three housekeeper genes and one control gene to assess for DNA contamination.
Results: The assay results were highly correlated with a validated reference laboratory. The assay had a broad linear range for input RNA, with similar amplicon efficiencies for target and housekeeper genes. The assay test was highly reproducible, with comparable inter- and intrabatch precision to the reference laboratory.
Conclusion: These studies demonstrate that the 12-gene molecular assay is highly robust and accurate.
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http://dx.doi.org/10.4155/fsoa-2017-0051 | DOI Listing |
BMC Cancer
December 2024
Department of General Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18 Zhongshan 2nd Road, Baise, Guangxi, 533000, China.
Background: Colon cancer (CC) is a leading cause of cancer-related mortality worldwide. Accurate prognostic markers are essential for patient risk stratification and personalized treatment. Copper-induced cell-death-related genes (CRG) have emerged as potential players in cancer prognosis, yet their role in CC remains unclear.
View Article and Find Full Text PDFBiochem Genet
October 2024
Medical Research Department, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, 266071, China.
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer mortality in the world. Prognostic indicators such as clinicopathological characteristics and single molecular signature are far from satisfactory in clinical practice. More and more researches have suggested that polygenic prognostic features could predict the prognosis of cancer more precisely than single genes nowadays.
View Article and Find Full Text PDFInt J Food Microbiol
January 2025
Area of Biochemistry and Molecular Biology, One Health-UR Research Group, University of La Rioja - Logroño, Spain. Electronic address:
Animal food products are important sources of zoonotic agents, increasing the risk of exposure to antibiotic-resistant bacteria from farm to fork. Therefore, we aimed to detect and fully characterise Extended-Spectrum Beta-Lactamase (ESBL)-producing E. coli from the poultry sector in a One Health approach.
View Article and Find Full Text PDFInt J Cardiol
December 2024
AP-HP, Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Centre de Référence des Cardiomyopathies et des Troubles du Rythme Cardiaque Héréditaires ou Rares, Paris, France; Université de Paris, INSERM U 970, Paris Cardiovascular Research Centre, Paris, France, Paris, France; Department of Molecular Medicine, Sapienza University, Rome, Italy.
Background: Although the optimal approach is debated, systematic genetic screening for hypertrophic cardiomyopathy (HCM) is recommended.
Aims: The performance of this approach was tested in GEREMY, a HCM prospective observational French register.
Methods: Screening was based on a 12-gene panel, including the Fabry disease (GLA) and the transthyretin (TTR) genes.
Eur J Cancer
October 2024
Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China. Electronic address:
Objective: To evaluate the diagnostic value of 5-hydroxymethylcytosines (5hmC) in circulating cell-free DNA (cfDNA) for nasopharyngeal carcinoma (NPC) and to develop a diagnostic model.
Methods: Genome-wide 5hmC profiles in cfDNA from 174 NPC patients and 146 non-cancer individuals were analyzed using the 5hmC-Seal technique. A cfDNA 5hmC-based diagnostic model to identify NPC patients was developed using least absolute shrinkage and selection operator (LASSO) logistic regression, and performance was evaluated with receiver operating characteristic (ROC) curves and confusion matrices.
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