Browsing by Author "Finnearty, Courtney"

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    Pharmacological Dual Inhibition of Tumor and Tumor-Induced Functional Limitations in a Transgenic Model of Breast Cancer
    (American Association for Cancer Research, 2017-12) Wang, Ruizhong; Bhat-Nakshatri, Poornima; Padua, Maria B.; Prasad, Mayuri S.; Anjanappa, Manjushree; Jacobson, Max; Finnearty, Courtney; Sefcsik, Victoria; McElyea, Kyle; Redmond, Rachael; Sandusky, George; Penthala, Narsimha; Crooks, Peter A.; Liu, Jianguo; Zimmers, Teresa A.; Nakshatri, Harikrishna; Surgery, School of Medicine
    Breast cancer progression is associated with systemic effects, including functional limitations and sarcopenia without the appearance of overt cachexia. Autocrine/paracrine actions of cytokines/chemokines produced by cancer cells mediate cancer progression and functional limitations. The cytokine-inducible transcription factor NF-κB could be central to this process, as it displays oncogenic functions and is integral to the Pax7:MyoD:Pgc-1β:miR-486 myogenesis axis. We tested this possibility using the MMTV-PyMT transgenic mammary tumor model and the NF-κB inhibitor dimethylaminoparthenolide (DMAPT). We observed deteriorating physical and functional conditions in PyMT+ mice with disease progression. Compared with wild-type mice, tumor-bearing PyMT+ mice showed decreased fat mass, impaired rotarod performance, and reduced grip strength as well as increased extracellular matrix (ECM) deposition in muscle. Contrary to acute cachexia models described in the literature, mammary tumor progression was associated with reduction in skeletal muscle stem/satellite-specific transcription factor Pax7. Additionally, we observed tumor-induced reduction in Pgc-1β in muscle, which controls mitochondrial biogenesis. DMAPT treatment starting at 6 to 8 weeks age prior to mammary tumor occurrence delayed mammary tumor onset and tumor growth rates without affecting metastasis. DMAPT overcame cancer-induced functional limitations and improved survival, which was accompanied with restoration of Pax7, Pgc-1β, and mitochondria levels and reduced ECM levels in skeletal muscles. In addition, DMAPT restored circulating levels of 6 out of 13 cancer-associated cytokines/chemokines changes to levels seen in healthy animals. These results reveal a pharmacological approach for overcoming cancer-induced functional limitations, and the above-noted cancer/drug-induced changes in muscle gene expression could be utilized as biomarkers of functional limitations.
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    Using TMAs (Tissue MicroArrays) to Evaluate GLS, GLUL, and CAV 1 Immunostaining in Breast Cancer
    (Office of the Vice Chancellor for Research, 2016-04-08) Finnearty, Courtney; Shajahan-Haq, Ayesha; Nakshatri, Hari; Sandusky, George E.
    Approximately 1 out of 8 women in the United States will develop invasive breast cancer over the course of their lifetime. Breast cancer has a greater potential of being cured if diagnosed in the earlier phases. We evaluated three well-recognized biomarkers, GLUL, GLS, and Cav 1 (glutamine synthetase, glutaminase, caveolin-1) in 14 TMA (tissue Microarrays). The tissues were normal breast and various subtypes of breast carcinoma by immunohistochemistry (IHC) to determine expression and localization in cancerous tissues in breast carcinoma cases. Approximately 80 to 90 breast biopsies in each of the 14 breast TMA immunostaining were evaluated with the GLUL, GLS, and Cav 1 antibodies. With GLS, immunostaining was seen in most tumor cells (mainly cytoplasm and nucleus) and the stain was clean with no background except in cases that had lymphocytes in the core along with the tumor cells. With GLUL, immunostaining was seen in most tumor cells (mainly cytoplasm and nucleus) and the stain was clean with no background except in cases that had lymphocytes in the core along with the tumor cells. Cav1 was seen only in the endothelial cells in blood vessel walls and some smooth muscle cells in small arterioles in the stroma and surrounding normal ducts, DCIS, and some invasive carcinoma tumor clusters. This information from the immunostains was obtained after analyzing 14 tissue microarrays which is not only time effective but cost effective when analyzing multiple research cases from cancer patients. The data for the three antibodies are currently being analyzed by the biostatistics core group and correlated with the severity of the breast cancer disease with multiple patient demographics.