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{"title"=>"Integration of breast cancer secretomes with clinical data elucidates potential serum markers for disease detection, diagnosis, and prognosis", "type"=>"journal", "authors"=>[{"first_name"=>"Yvonne S.", "last_name"=>"Ziegler", "scopus_author_id"=>"6603644826"}, {"first_name"=>"James J.", "last_name"=>"Moresco", "scopus_author_id"=>"6503994367"}, {"first_name"=>"John R.", "last_name"=>"Yates", "scopus_author_id"=>"35352109200"}, {"first_name"=>"Ann M.", "last_name"=>"Nardulli", "scopus_author_id"=>"7004345515"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"611071282", "pmid"=>"27355404", "doi"=>"10.1371/journal.pone.0158296", "issn"=>"19326203", "scopus"=>"2-s2.0-84977668802", "sgr"=>"84977668802", "isbn"=>"1932-6203"}, "id"=>"ee6de459-f1eb-3de7-a354-7df73afe170d", "abstract"=>"Cancer cells secrete factors that influence adjacent cell behavior and can lead to enhanced proliferation and metastasis. To better understand the role of these factors in oncogenesis and disease progression, estrogen and progesterone receptor positive MCF-7 cells, triple negative breast cancer MDA-MB-231, DT22, and DT28 cells, and MCF-10A non-transformed mammary epithelial cells were grown in 3D cultures. A special emphasis was placed on triple negative breast cancer since these tumors are highly aggressive and no targeted treatments are currently available. The breast cancer cells secreted factors of variable potency that stimulated proliferation of the relatively quiescent MCF-10A cells. The conditioned medium from each cell line was subjected to mass spectrometry analysis and a variety of secreted proteins were identified including glycolytic enzymes, proteases, protease inhibitors, extracellular matrix proteins, and insulin-like growth factor binding proteins. An investigation of the secretome from each cell line yielded clues about strategies used for breast cancer proliferation and metastasis. Some of the proteins we identified may be useful in the development of a serum-based test for breast cancer detection, diagnosis, prognosis, and monitoring.", "link"=>"http://www.mendeley.com/research/integration-breast-cancer-secretomes-clinical-data-elucidates-potential-serum-markers-disease-detect", "reader_count"=>20, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Student > Doctoral Student"=>1, "Researcher"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>4, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Student > Doctoral Student"=>1, "Researcher"=>4, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>1, "Student > Master"=>4, "Student > Bachelor"=>2, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Biochemistry, Genetics and Molecular Biology"=>6, "Nursing and Health Professions"=>1, "Agricultural and Biological Sciences"=>5, "Medicine and Dentistry"=>3, "Chemistry"=>1, "Computer Science"=>1, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Chemistry"=>{"Chemistry"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>6}}, "reader_count_by_country"=>{"United States"=>1}, "group_count"=>0}

CrossRef

• http://doi.org/10.1016/j.semcancer.2019.10.011
• http://doi.org/10.1016/j.biochi.2018.05.018
• http://doi.org/10.3390/proteomes5040025
• http://doi.org/10.1016/j.biomaterials.2018.04.001
• http://doi.org/10.1007/s12192-019-01041-8
• http://doi.org/10.1186/s12014-018-9206-0
• http://doi.org/10.1016/j.lfs.2018.04.013
• http://doi.org/10.1016/j.biochi.2019.05.002
• http://doi.org/10.1021/acs.nanolett.8b01257

Scopus | Further Information

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