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Full-Text Articles in Medicine and Health Sciences
Collaborative Molecular Epidemiology Study Of Metabolic Dysregulation, Dna Methylation, And Breast Cancer Risk Among Nigerian Women: Mend Study Objectives And Design, Tomi Akinyemiju, Omolola Salako, Adetola Daramola, Olusegun Alatise, Adewale Adeniyi, Gabriel Ogun, Omobolaji Ayandipo, Thomas Olajide, Olalekan Olasehinde, Olukayode Arowolo, Adewale Adisa, Oludolapo Afuwape, Aralola Olusanya, Aderemi Adegoke, Akinlolu Ojo, Trygve Tollefsbol, Donna K. Arnett
Collaborative Molecular Epidemiology Study Of Metabolic Dysregulation, Dna Methylation, And Breast Cancer Risk Among Nigerian Women: Mend Study Objectives And Design, Tomi Akinyemiju, Omolola Salako, Adetola Daramola, Olusegun Alatise, Adewale Adeniyi, Gabriel Ogun, Omobolaji Ayandipo, Thomas Olajide, Olalekan Olasehinde, Olukayode Arowolo, Adewale Adisa, Oludolapo Afuwape, Aralola Olusanya, Aderemi Adegoke, Akinlolu Ojo, Trygve Tollefsbol, Donna K. Arnett
Epidemiology and Environmental Health Faculty Publications
PURPOSE To elucidate the role of metabolic dysregulation and associated DNA methylation changes on breast cancer risk and aggressive subtypes among Nigerian women. We describe the design and methods of a collaborative molecular epidemiology study of breast cancer in Nigerian hospitals.
METHODS The Mechanisms for Novel and Established Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) study was designed as a matched case-control study of 350 patients, age 18 to 75 years, with newly diagnosed, treatment-naïve breast cancer and 350 age-matched healthy controls from surrounding geographic areas. Patients with breast cancer seen for initial diagnosis at four …
Commonly Integrated Epigenetic Modifications Of Differentially Expressed Genes Lead To Adaptive Resistance In Cancer., Abdullah Al Emran, Diego M Marzese, Dinoop R Menon, Heinz Hammerlindl, Farzana Ahmed, Erika Richtig, Pascal Duijf, Dave S B Hoon, Helmut Schaider
Commonly Integrated Epigenetic Modifications Of Differentially Expressed Genes Lead To Adaptive Resistance In Cancer., Abdullah Al Emran, Diego M Marzese, Dinoop R Menon, Heinz Hammerlindl, Farzana Ahmed, Erika Richtig, Pascal Duijf, Dave S B Hoon, Helmut Schaider
Articles, Abstracts, and Reports
No abstract provided.
Demethylation By Low-Dose 5-Aza-2'-Deoxycytidine Impairs 3d Melanoma Invasion Partially Through Mir-199a-3p Expression Revealing The Role Of This Mir In Melanoma., Cécile Desjobert, Arnaud Carrier, Audrey Delmas, Diego M Marzese, Antoine Daunay, Florence Busato, Arnaud Pillon, Jörg Tost, Joëlle Riond, Gilles Favre, Chantal Etievant, Paola B Arimondo
Demethylation By Low-Dose 5-Aza-2'-Deoxycytidine Impairs 3d Melanoma Invasion Partially Through Mir-199a-3p Expression Revealing The Role Of This Mir In Melanoma., Cécile Desjobert, Arnaud Carrier, Audrey Delmas, Diego M Marzese, Antoine Daunay, Florence Busato, Arnaud Pillon, Jörg Tost, Joëlle Riond, Gilles Favre, Chantal Etievant, Paola B Arimondo
Articles, Abstracts, and Reports
BACKGROUND: Efficient treatments against metastatic melanoma dissemination are still lacking. Here, we report that low-cytotoxic concentrations of 5-aza-2'-deoxycytidine, a DNA demethylating agent, prevent in vitro 3D invasiveness of metastatic melanoma cells and reduce lung metastasis formation in vivo.
RESULTS: We unravelled that this beneficial effect is in part due to MIR-199A2 re-expression by promoter demethylation. Alone, this miR showed an anti-invasive and anti-metastatic effect. Throughout integration of micro-RNA target prediction databases with transcriptomic analysis after 5-aza-2'-deoxycytidine treatments, we found that miR-199a-3p downregulates set of genes significantly involved in invasion/migration processes. In addition, analysis of data from melanoma patients showed a …
Epigenetic Classifiers For Precision Diagnosis Of Brain Tumors., Javier I Orozco, Ayla O Manughian-Peter, Matthew P Salomon, Diego M Marzese
Epigenetic Classifiers For Precision Diagnosis Of Brain Tumors., Javier I Orozco, Ayla O Manughian-Peter, Matthew P Salomon, Diego M Marzese
Articles, Abstracts, and Reports
DNA methylation profiling has proven to be a powerful analytical tool, which can accurately identify the tissue of origin of a wide range of benign and malignant neoplasms. Using microarray-based profiling and supervised machine learning algorithms, we and other groups have recently unraveled DNA methylation signatures capable of aiding the histomolecular diagnosis of different tumor types. We have explored the methylomes of metastatic brain tumors from patients with lung cancer, breast cancer, and cutaneous melanoma and primary brain neoplasms to build epigenetic classifiers. Our brain metastasis methylation (BrainMETH) classifier has the ability to determine the type of brain tumor, the …