PA Furth

Prof. PA Furth

Georgetown University, Washington DC 20057-1227, USA
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 May 2007 in Genome Biology
Verified
Journal Article
Open access
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JHJason I Herschkowitz
Jason I Herschkowitz
KSKarl Simin
Karl Simin
VWVictor J Weigman
Victor J Weigman
IMIgor Mikaelian
Igor Mikaelian
JUJerry Usary
Jerry Usary
CPCharles M Perou
Charles M Perou
Background: Although numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors. Results: Unsupervised hierarchical clustering analysis showed that six models (TgWAP-Myc, TgMMTV-Neu, TgMMTV-PyMT, TgWAP-Int3, TgWAP-Tag, and TgC3(1)-Tag) yielded tumors with distinctive and homogeneous expression patterns within each strain. However, in each of four other models (TgWAP-T 121 , TgMMTV-Wnt1, Brca1 Co/Co ;TgMMTV-Cre;p53+/- and DMBA-induced), tumors with a variety of histologies and expression profiles developed. In many models, similarities to human breast tumors were recognized, including proliferation and human breast tumor subtype signatures. Significantly, tumors of several models displayed characteristics of human basal-like breast tumors, including two models with induced Brca1 deficiencies. Tumors of other murine models shared features and trended towards significance of gene enrichment with human luminal tumors; however, these murine tumors lacked expression of estrogen receptor (ER) and ER-regulated genes. TgMMTV-Neu tumors did not have a significant gene overlap with the human HER2+/ER- subtype and were more similar to human luminal tumors. Conclusion: Many of the defining characteristics of human subtypes were conserved among the mouse models. Although no single mouse model recapitulated all the expression features of a given human subtype, these shared expression features provide a common framework for an improved integration of murine mammary tumor models with human breast tumors.

7 November 2003 in International Journal of Cancer
Verified
Journal Article
Open access
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ICIon Cotarla
Ion Cotarla
SRShuxun Ren
Shuxun Ren
YZYing Zhang
Ying Zhang
EGEdmund Gehan
Edmund Gehan
BSBaljit Singh
Baljit Singh
PFPA Furth
PA Furth
Signal transducers and activators of transcription (STATs) are latent cytoplasmic transcription factors that are activated and translocated into the nucleus after phosphorylation at a conserved tyrosine residue. Mouse model studies have demonstrated that activated Stat5a acts as a critical survival factor for normal, preneoplastic and malignant mammary epithelial cells. Very limited information is available, however, on the expression, tyrosine phosphorylation status and nuclear localization of Stat5a in human breast cancers. In our study, the pattern of Stat5a cellular localization was analyzed by immunohistochemistry in a series of 83 randomly selected primary human breast adenocarcinomas. Immunoprecipitation/Western blotting and immunohistochemistry assays employing different phospho‐specific antibodies verified Stat5a tyrosine phosphorylation status. Stat5a was nuclear localized and tyrosine phosphorylated in 59 of 78 (76%) breast cancers examined; 38 of 78 (49%) demonstrated Stat5a nuclear localization in more than 25% of the breast cancer cells within the adenocarcinomas. Nuclear localized Stat5a was associated positively with increased levels of histologic differentiation (p = 0.03). A statistically significant positive association with p27 nuclear localization also was identified (p = 0.05). No relationship was found between nuclear localized Stat5a and menopausal status, tumor size, ploidy, percentage of cells in S‐phase, lymph node metastases, ER, ErbB2, nuclear localized p21 or nuclear localized Stat5b/Stat3. As its role in human breast cancer progression and response to therapy is defined, Stat5a could become a new molecular target for breast cancer therapy.

12 October 2011 in Breast Cancer Research
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Journal Article
Open access
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PFPA Furth
PA Furth
RNRebecca E Nakles
Rebecca E Nakles
SMSarah Millman
Sarah Millman
EDEdgar S Diaz-Cruz
Edgar S Diaz-Cruz
MCM Carla Cabrera
M Carla Cabrera
STAT5 consists of two proteins, STAT5A/B, that impact mammary cell differentiation, proliferation, and survival. In normal development, STAT5 expression and activity are regulated by prolactin signaling with JAK2/ELF5, EGF signaling networks that include c-Src, and growth hormone, insulin growth factor, estrogen, and progesterone signaling pathways. In cancer, erythropoietin signaling can also regulate STAT5. Activation levels are influenced by AKT, caveolin, PIKE-A, Pak1, c-Myb, Brk, beta-integrin, dystroglycan, other STATs, and STAT pathway molecules JAK1, Shp2, and SOCS. TGF-β and PTPN9 can downregulate prolactin- and EGF-mediated STAT5 activation, respectively. IGF, AKT, RANKL, cyclin D1, BCL6, and HSP90A lie downstream of STAT5.

1 February 2005 in Cancer Research
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Journal Article
Open access
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MFM. Silvina Frech
M. Silvina Frech
EHEwa D. Halama
Ewa D. Halama
MTMaddalena T. Tilli
Maddalena T. Tilli
BSBaljit Singh
Baljit Singh
EGEdward J. Gunther
Edward J. Gunther
PFPA Furth
PA Furth
A conditional tetracycline-responsive transgenic mouse model with deregulated estrogen receptor α expression in mammary epithelial cells developed ductal hyperplasia (DH), lobular hyperplasia, and ductal carcinoma in situ (DCIS) by 4 months of age. Higher proliferative rates were found in both normal and abnormal ductal and lobular structures. DH and DCIS but not normal ductal structures showed an increased percentage of cells with nuclear-localized cyclin D1. No differences in either the prevalence or extent of these phenotypes following exogenous 17β-estradiol treatment were found suggesting that alteration of ERα expression was the rate-limiting factor in initiation of DH, lobular hyperplasia, and DCIS.

27 October 2019 in Cells
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Journal Article
Open access
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NPNancy Palechor-Ceron
Nancy Palechor-Ceron
EKEwa Krawczyk
Ewa Krawczyk
ADAleksandra Dakic
Aleksandra Dakic
VSVera Simic
Vera Simic
HYHang Yuan
Hang Yuan
XLXuefeng Liu
Xuefeng Liu
Traditional cancer models including cell lines and animal models have limited applications in both basic and clinical cancer research. Genomics-based precision oncology only help 2–20% patients with solid cancer. Functional diagnostics and patient-derived cancer models are needed for precision cancer biology. In this review, we will summarize applications of conditional cell reprogramming (CR) in cancer research and next generation living biobanks (NGLB). Together with organoids, CR has been cited in two NCI (National Cancer Institute, USA) programs (PDMR: patient-derived cancer model repository; HCMI: human cancer model initiatives. HCMI will be distributed through ATCC). Briefly, the CR method is a simple co-culture technology with a Rho kinase inhibitor, Y-27632, in combination with fibroblast feeder cells, which allows us to rapidly expand both normal and malignant epithelial cells from diverse anatomic sites and mammalian species and does not require transfection with exogenous viral or cellular genes. Establishment of CR cells from both normal and tumor tissue is highly efficient. The robust nature of the technique is exemplified by the ability to produce 2 × 106 cells in five days from a core biopsy of tumor tissue. Normal CR cell cultures retain a normal karyotype and differentiation potential and CR cells derived from tumors retain their tumorigenic phenotype. CR also allows us to enrich cancer cells from urine (for bladder cancer), blood (for prostate cancer), and pleural effusion (for non-small cell lung carcinoma). The ability to produce inexhaustible cell populations using CR technology from small biopsies and cryopreserved specimens has the potential to transform biobanking repositories (NGLB: next-generation living biobank) and current pathology practice by enabling genetic, biochemical, metabolomic, proteomic, and biological assays, including chemosensitivity testing as a functional diagnostics tool for precision cancer medicine. We discussed analyses of patient-derived matched normal and tumor models using a case with tongue squamous cell carcinoma as an example. Last, we summarized applications in cancer research, disease modeling, drug discovery, and regenerative medicine of CR-based NGLB.

1 January 2014 in Molecular and Cellular Endocrinology
Verified
Journal Article
Closed access
PFPA Furth
PA Furth