Shams Halat
University Hospitals of Cleveland
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Publication
Featured researches published by Shams Halat.
Cuaj-canadian Urological Association Journal | 2015
Amanda F Saltzman; Elizabeth T. Brown; Shams Halat; Ryan C Hedgepeth
Primary leiomyosarcoma (LMS) of the renal vein is a rare tumour and poorly described in the literature. Surgical resection, using open and laparoscopic approaches, is the mainstay of treatment. In this report, we describe a patient with left renal vein LMS, report the first robotic laparoscopic resection for this tumor, and review the typical presentation, imaging, pathology and treatment for this rare clinical entity.
Oncotarget | 2018
Jessie Gills; Ravan Moret; Xin Zhang; John Nelson; Grace Maresh; Linh Hellmers; Daniel Canter; M’Liss Hudson; Shams Halat; Marc Matrana; Michael P. Marino; Jakob Reiser; Maureen Shuh; Eric Laborde; Maria Latsis; Sunil Talwar; Stephen Bardot; Li Li
High-grade urothelial cell carcinoma of the bladder has a poor prognosis when lymph nodes are involved. Despite curative therapy for clinically-localized disease, over half of the muscle-invasive urothelial cell carcinoma patients will develop metastases and die within 5 years. There are currently no described xenograft models that consistently mimic urothelial cell carcinoma metastasis. To develop a patient-derived orthotopic xenograft model to mimic clinical urothelial cell carcinoma progression to metastatic disease, the urothelial cell carcinoma cell line UM-UC-3 and two urothelial cell carcinoma patient specimens were doubly tagged with Luciferase/RFP and were intra-vesically (IB) instilled into NOD/SCID mice with or without lymph node stromal cells (HK cells). Mice were monitored weekly with bioluminescence imaging to assess tumor growth and metastasis. Primary tumors and organs were harvested for bioluminescence imaging, weight, and formalin-fixed for hematoxylin and eosin and immunohistochemistry staining. In this patient-derived orthotopic xenograft model, xenograft tumors showed better implantation rates than currently reported using other models. Xenograft tumors histologically resembled pre-implanted primary specimens from patients, presenting muscle-invasive growth patterns. In the presence of HK cells, tumor formation, tumor angiogenesis, and distant organ metastasis were significantly enhanced in both UM-UC-3 cells and patient-derived specimens. Thus, we established a unique, reproducible patient-derived orthotopic xenograft model using human high-grade urothelial cell carcinoma cells and lymph node stromal cells. It allows for investigating the mechanism involved in tumor formation and metastasis, and therefore it is useful for future testing the optimal sequence of conventional drugs or the efficacy of novel therapeutic drugs.
The Journal of Urology | 2015
Jessie Gills; John Nelson; Xin Zhang; Grace Manesh; Shams Halat; Ashley Richman; Mark Matrana; Stephen Bardot; Li Li
INTRODUCTION AND OBJECTIVES: Extracellular vesicles (EV) are small membrane vesicles secreted by most cell types. They are first found in reticulocytes and play important roles in cell-to-cell communication. Recent studies suggest that EV secreted by tumor cells containing tumor specific proteins and miRNAs. Previous study shows that EV purified from muscle invasive bladder cancer promote cancer progression. This study aims to characterize the genetic contents, such as proteins and nucleic acids and establish the bladder cancer specific EV biomarkers METHODS: EV were purified from bladder cancers, immortalized bladder cells, and urine of healthy volunteers and muscle invasive bladder cancer patients. The protein contents were analyzed by mass spectrometry. To prioritize the proteins of interest, we performed gene expression profile analysis of proteins via public microarray repositories from NCBI Gene Expression Omnibus profile #GDS1479 (carcinoma in situ lesions of the urinary bladder) that consists of 5 categories: normal urothelium, Non-muscle invasive BC with cancer in situ (CIS), superficial TCC without CIS, Muscle invasive bladder cancer, and CIS. In addition to protein, we also performed miRNA expression profiling microarray on EV from high grade bladder cancer cells, and immortalized bladder cells (LC Sciences). RESULTS: More than 400 proteins were found in bladder EV. Among them, we found 9 cancer-associated EV proteins that are particularly interesting because their gene expression levels are significantly elevated in cancer stages as compared to normal urothelium. Those proteins are subjected to further functional characterization via gene knockdown/overexpression strategies. The differences in miRNA expression were compared and differences were determined by a student T test (P<0.05). Results showed significant difference miRNAs between cancer cells vs normal cells. Some of cancer-specific miRNAs which have shown to play critical roles in tumorigenesis and cancer progression will be study priority CONCLUSIONS: Our study enables us to establish a panel of EV protein and miRNA signatures that can be further developed into a urine-based method for rapid detection of stage-specific biomarkers which will be valuable for detecting and managing bladder cancer.
The Journal of Urology | 2007
Shams Halat; Gregory T. MacLennan
The Journal of Urology | 2018
Daniel Canter; Jay T. Bishoff; Stephen J. Freedland; Julia Reid; Maria Latsis; Margaret Variano; Shams Halat; Michael K. Brawer; Steven Stone; Thorsten Schlomm; Stephen Bardot
Journal of The American College of Surgeons | 2018
Daniel Canter; Maria Latsis; Shams Halat; Steven Stone; Stephen Bardot
Journal of The American College of Surgeons | 2018
Daniel Canter; Shams Halat; Kristen E. Gurtner; Steven Stone; Stephen Bardot
Journal of Clinical Oncology | 2018
Daniel Canter; Julia Reid; Maria Latsis; Margaret Variano; Shams Halat; Kristen E. Gurtner; Michael K. Brawer; Steven Stone; Stephen Bardot
Journal of Clinical Oncology | 2018
Daniel Canter; Julia Reid; Maria Latsis; Margaret Variano; Shams Halat; Kristen E. Gurtner; Michael K. Brawer; Steven Stone; Stephen Bardot
The Journal of Urology | 2017
Stephen Bardot; Julia Reid; Maria Latsis; Margaret Variano; Shams Halat; Daniel Canter; Zaina Sangale; Michael K. Brawer; Steven Stone