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Saraswati Sukumar

Researcher at Johns Hopkins University School of Medicine

Publications -  262
Citations -  28255

Saraswati Sukumar is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 77, co-authored 248 publications receiving 26027 citations. Previous affiliations of Saraswati Sukumar include Tufts University & Salk Institute for Biological Studies.

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Epigenetic Inactivation of the Potential Tumor Suppressor Gene FOXF1 in Breast Cancer

TL;DR: expression profiling of cell cycle regulatory genes showed that abrogation of FOXF1 function resulted in increased expression of E2F-induced genes involved in promoting the progression of S and G(2) phases, suggesting thatFOXF1 is required for maintaining the stringency of DNA replication and genomic stability.
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Ductal Access for Prevention and Therapy of Mammary Tumors

TL;DR: The efficacy of intraductally administered anticancer agents 4-hydroxytamoxifen and pegylated liposomal doxorubicin (PLD) in the prevention and treatment of breast cancer is shown using the rat N-methyl-N'-nitrosourea-induced and spontaneous HER-2/neu transgenic mouse (neu-N) models of Breast cancer.
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Independent molecular pathways in initiation and loss of hormone responsiveness of breast carcinomas.

TL;DR: It is suggested that those events responsible for the critical stages of breast cancer development occur independently and in an uncoordinated manner.
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Role of Homeobox Genes in Normal Mammary Gland Development and Breast Tumorigenesis

TL;DR: Recent studies of homeobox genes in breast cancer cells and primary tumors indicate that they may also play a contributory or causal role in tumorigenesis by regulating the cell cycle, apoptosis, angiogenesis, and/or metastasis.
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Molecular profiling of human mammary gland links breast cancer risk to a p27(+) cell population with progenitor characteristics.

TL;DR: The results suggest that pathways controlling p27(+) mammary epithelial cells and the numbers of these cells relate to breast cancer risk and can be explored for cancer risk assessment and prevention.