Zobrazeno 1 - 10 of 97 pro vyhledávání: '"Jennifer S, Davis"'
1
Akademický článek
Sulindac plus a phospholipid is effective for polyp reduction and safer than sulindac alone in a mouse model of colorectal cancer development
Autor: Jennifer S. Davis, Preeti Kanikarla-Marie, Mihai Gagea, Patrick L. Yu, Dexing Fang, Manu Sebastian, Peiying Yang, Ernest Hawk, Roderick Dashwood, Lenard M. Lichtenberger, David Menter, Scott Kopetz
Publikováno v: BMC Cancer, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background Non-steroidal anti-inflammatory drugs (NSAIDs) such as aspirin and sulindac are effective for colorectal cancer prevention in humans and some animal models, but concerns over gastro-intestinal (GI) ulceration and bleeding limit th
Externí odkaz: https://doaj.org/article/07034839c3374383bc326e0044408395
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2
Akademický článek
Global differences in the prevalence of the CpG island methylator phenotype of colorectal cancer
Autor: Shailesh Mahesh Advani, Pragati Shailesh Advani, Derek W. Brown, Stacia M. DeSantis, Krittiya Korphaisarn, Helena M. VonVille, Jan Bressler, David S. Lopez, Jennifer S. Davis, Carrie R. Daniel, Amir Mehrvarz Sarshekeh, Dejana Braithwaite, Michael D. Swartz, Scott Kopetz
Publikováno v: BMC Cancer, Vol 19, Iss 1, Pp 1-13 (2019)
Abstract Background CpG Island Methylator Phenotype (CIMP) is an epigenetic phenotype in CRC characterized by hypermethylation of CpG islands in promoter regions of tumor suppressor genes, leading to their transcriptional silencing and loss of functi
Externí odkaz: https://doaj.org/article/5491248a6d27469096c02f5b19e40f79
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3
Akademický článek
Post-Acquisition Hyperpolarized 29Silicon Magnetic Resonance Image Processing for Visualization of Colorectal Lesions Using a User-Friendly Graphical Interface
Autor: Caitlin V. McCowan, Duncan Salmon, Jingzhe Hu, Shivanand Pudakalakatti, Nicholas Whiting, Jennifer S. Davis, Daniel D. Carson, Niki M. Zacharias, Pratip K. Bhattacharya, Mary C. Farach-Carson
Publikováno v: Diagnostics, Vol 12, Iss 3, p 610 (2022)
Medical imaging devices often use automated processing that creates and displays a self-normalized image. When improperly executed, normalization can misrepresent information or result in an inaccurate analysis. In the case of diagnostic imaging, a f
Externí odkaz: https://doaj.org/article/c8c6d7a51d4245e9baded9c6b6fa179d
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