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Description of Research
Breast cancer is the most common cancer as well as the leading cause of death from cancer among women worldwide. The Chodosh laboratory uses genetically engineered mouse models, patient samples and computational biology to study the mechanisms by which breast cancers develop, become resistant to therapy, and ultimately contribute to cancer mortality. A broad array of basic and translational research approaches are used to address problems of fundamental clinical importance to cancer patients by elucidating pathways and principles common to human cancers. Particular areas of interest include: pathways regulating cancer development, metastasis, tumor dormancy and recurrence; the use of genomics and computational approaches to understand genetic programs in cancer; the impact of obesity on cancer recurrence; the mechanisms by which pregnancy protects against breast cancer; and the use of non-invasive imaging approaches to study tumor biology. These approaches employ molecular, cellular, animal, human, and in silico model systems to study the function of key regulatory molecules in tumor biology using genetics, genomics, molecular biology, biochemistry, cell biology, computational biology, functional imaging, animal studies, preclinical trials and clinical investigation.
Breast cancer is the most common cancer as well as the leading cause of death from cancer among women worldwide. The Chodosh laboratory uses genetically engineered mouse models, patient samples and computational biology to study the mechanisms by which breast cancers develop, become resistant to therapy, and ultimately contribute to cancer mortality. A broad array of basic and translational research approaches are used to address problems of fundamental clinical importance to cancer patients by elucidating pathways and principles common to human cancers. Particular areas of interest include: pathways regulating cancer development, metastasis, tumor dormancy and recurrence; the use of genomics and computational approaches to understand genetic programs in cancer; the impact of obesity on cancer recurrence; the mechanisms by which pregnancy protects against breast cancer; and the use of non-invasive imaging approaches to study tumor biology. These approaches employ molecular, cellular, animal, human, and in silico model systems to study the function of key regulatory molecules in tumor biology using genetics, genomics, molecular biology, biochemistry, cell biology, computational biology, functional imaging, animal studies, preclinical trials and clinical investigation.
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论文共 230 篇作者统计合作学者相似作者
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Diego Y. Grinman,Farzin M. Takyar,Pamela Dann,Marya Shanabrough, Stacey Brown, Alisson Clemenceau,Julie R. Hens,Bernardo Stutz,Lewis A. Chodosh,Wenhan Chang,Gerald I. Shulman,Tamas L. Horvath,
Kalina Polet Slavkova,Elizabeth S. McDonald,Eric A. Cohen,Lauren Pantalone,Lauren Bayne,Isoris Nivar, Pauleen Sanchez,Walter C. Mankowski, Melanie Brown,Amy Sanders Clark, Killian Rohn,Lewis A. Chodosh,
Journal of Clinical Oncologyno. 16_suppl (2024): 561-561
Matthew R. Lawrence-Paul,Tien-chi Pan,Dhruv K. Pant,Natalie N. C. Shih,Yan Chen,George K. Belka,Michael Feldman,Angela DeMichele,Lewis A. Chodosh
A. DeMichele,A.S. Clark, L. Bayne, K. Rohn, I. Nivar, P. Wileyto, L. Berry, S. DeLuca,J. Savage, I. Makhlin,T.C. Pan, J. Graves,
Annals of Oncology (2023): S281-S281
crossref(2023)
Cancer Researchno. 5_Supplement (2023): P5-08
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