70 research outputs found

    Benign multicystic mesothelioma: a case report of three sisters

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    Benign multicystic mesothelioma (BMCM) is a rare tumor of the abdomen-peritoneum of unknown etiology. This benign tumor was initially described by Plaut in 1928 when he observed loose cysts in the pelvis during a surgery for a uterine leiomyoma.2 The mesothelial origin was later confirmed by electron micro-scopy by Mennemeyer and Smith in 1979.3 To date, there are approximately 140 cases of BMCM reported in the literature.4 This disease primarily occurs in pre-menopausal women and is associated with a history of pelvic inflammatory disease, prior abdominal surgery, and endometriosis.4,5 The pathogenesis of this disease remains controversial, with possible etiologies including a neoplastic versus a reactive process.5 In the literature, a few case reports discuss a possible genetic or familial association with BMCM.6 Specifically, one report describes a man with familial Mediterranean fever who developed BMCM. Although familial Mediter-ranean fever is associated with malignant mesothelioma, he had only BMCM, and did not suffer from malignant mesothelioma.6 A genetic evaluation and chromosomal analysis were not able to identify a specific genetic cause of the family’s pattern of disease. This case report describes two female siblings diagnosed with BMCM. In addition, a third sister also had findings consistent with BMCM, however, the discrete histological diagnosis was never confirmed

    Prevalence of Epithelial Ovarian Cancer Stem Cells Correlates with Recurrence in Early-Stage Ovarian Cancer

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    Epithelial ovarian cancer stem cells (EOC stem cells) have been associated with recurrence and chemoresistance. CD44 and CK18 are highly expressed in cancer stem cells and function as tools for their identification and characterization. We investigated the association between the number of CD44+ EOC stem cells in ovarian cancer tumors and progression-free survival. EOC stem cells exist as clusters located close to the stroma forming the cancer stem cell “niche”. 17.1% of the samples reveled high number of CD44+ EOC stem cells (>20% positive cells). In addition, the number of CD44+ EOC stem cells was significantly higher in patients with early-stage ovarian cancer (FIGO I/II), and it was associated with shorter progression-free survival (P = 0.026). This study suggests that quantification of the number of EOC stem cells in the tumor can be used as a predictor of disease and could be applied for treatment selection in early-stage ovarian cancer

    Novel approach for the detection of intraperitoneal micrometastasis using an ovarian cancer mouse model

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    Patients with epithelial ovarian cancer have the best overall survival when maximal surgical effort is accomplished. However, despite numerous technological advances, surgery still relies primarily on white-light reflectance and the surgeon’s vision. As such, micrometastases are usually missed and most patients clinically classified as a complete responder eventually recur and succumb to the disease. Our objective is to develop optical enhancers which can aid in the visualization of ovarian cancer micrometastasis. To this end we developed a nanoparticle (NP) platform, which is specifically targeted to the tumor microenvironment. Targeting is achieved by coating FDA-approved PLGA-PEG NP with the peptide sequence RGD, which binds with high affinity to αVβ3 integrins present in both the tumor-associated neovasculature and on the surface of ovarian cancer cells. Administration of the NP platform carrying fluorescent dyes to mice bearing intraperitoneal ovarian cancer allowed visualization of tumor-associated vasculature and its contrast against normal blood vessels. More importantly, we demonstrate the visualization of intraperitoneal ovarian cancer micrometastasis as small as 100 μm with optimal resolution. Finally, we demonstrate that the fluorescent dye cargo was able to penetrate intra-tumorally. Such modality could be used to allow microscopic surgical debulking to assure maximal surgical effort

    Expression of Tissue factor in Adenocarcinoma and Squamous Cell Carcinoma of the Uterine Cervix: Implications for immunotherapy with hI-con1, a factor VII-IgGFc chimeric protein targeting tissue factor

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    <p>Abstract</p> <p>Background</p> <p>Cervical cancer continues to be an important worldwide health problem for women. Up to 35% of patients who are diagnosed with and appropriately treated for cervical cancer will recur and treatment results are poor for recurrent disease. Given these sobering statistics, development of novel therapies for cervical cancer remains a high priority. We evaluated the expression of Tissue Factor (TF) in cervical cancer and the potential of hI-con1, an antibody-like-molecule targeted against TF, as a novel form of immunotherapy against multiple primary cervical carcinoma cell lines with squamous- and adenocarcinoma histology.</p> <p>Methods</p> <p>Because TF is a transmembrane receptor for coagulation factor VII/VIIa (fVII), in this study we evaluated the <it>in vitro </it>expression of TF in cervical carcinoma cell lines by immunohistochemistry (IHC), real time-PCR (qRT-PCR) and flow cytometry. Sensitivity to hI-con1-dependent cell-mediated-cytotoxicity (IDCC) was evaluated in 5-hrs-<sup>51</sup>chromium-release-assays against cervical cancer cell lines <it>in vitro</it>.</p> <p>Results</p> <p>Cytoplasmic and/or membrane TF expression was observed in 8 out of 8 (100%) of the tumor tissues tested by IHC and in 100% (11 out of 11) of the cervical carcinoma cell lines tested by real-time-PCR and flow cytometry but not in normal cervical keratinocytes (<it>p </it>= 0.0023 qRT-PCR; <it>p </it>= 0.0042 flow cytometry). All primary cervical cancer cell lines tested overexpressing TF, regardless of their histology, were highly sensitive to IDCC (mean killing ± SD, 56.2% ± 15.9%, range, 32.4%-76.9%, <it>p </it>< 0.001), while negligible cytotoxicity was seen in the absence of hI-con1 or in the presence of rituximab-control-antibody. Low doses of interleukin-2 further increased the cytotoxic effect induced by hI-con1 (<it>p </it>= 0.025) while human serum did not significantly decrease IDCC against cervical cancer cell lines (<it>p </it>= 0.597).</p> <p>Conclusions</p> <p>TF is highly expressed in squamous and adenocarcinoma of the uterine cervix. hI-con1 induces strong cytotoxicity against primary cervical cancer cell lines overexpressing TF and may represent a novel therapeutic agent for the treatment of cervical cancer refractory to standard treatment modalities.</p

    Vaginal cuff dehiscence in robotic-assisted total hysterectomy.

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    STUDY OBJECTIVE: The aim of this study was to estimate the cumulative incidence of vaginal cuff dehiscence in robotic-assisted total hysterectomies in our patients and to provide recommendations to decrease the incidence of vaginal cuff dehiscence. METHODS: This was an observational case series, Canadian Task Force Classification II-3 conducted at an academic and community teaching hospital. A total of 654 patients underwent robotic-assisted total laparoscopic hysterectomy for both malignant and benign reasons from September 1, 2006 to March 1, 2011 performed by a single surgeon. The da Vinci Surgical System was used for robotic-assisted total laparoscopic hysterectomy. RESULTS: There were 3 cases of vaginal cuff dehiscence among 654 robotic-assisted total laparoscopic hysterectomies, making our cumulative incidence of vaginal cuff dehiscence 0.4%. The mean time between the procedures and vaginal cuff dehiscence was 44.3 d (6.3 wk). All patients were followed up twice after surgery, at 3 to 4 wk and 12 to 16 wk. CONCLUSION: In our study, the incidence of vaginal cuff dehiscence after robotic-assisted total laparoscopic hysterectomy compares favorably to that of total abdominal and vaginal hysterectomy. Our study suggests that the incidence of vaginal cuff dehiscence is more likely related to the technique of colpotomy and vaginal cuff suturing than to robotic assisted total hysterectomy per se. With proper technique and patient education, our vaginal dehiscence rate has been 0.4%, which is 2.5 to 10 times less than the previously reported vaginal cuff dehiscence rate in the literature

    Automated Assay of a Four-Protein Biomarker Panel for Improved Detection of Ovarian Cancer

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    Background: Mortality from ovarian cancer remains high due to the lack of methods for early detection. The difficulty lies in the low prevalence of the disease necessitating a significantly high specificity and positive-predictive value (PPV) to avoid unneeded and invasive intervention. Currently, cancer antigen- 125 (CA-125) is the most commonly used biomarker for the early detection of ovarian cancer. In this study we determine the value of combining macrophage migration inhibitory factor (MIF), osteopontin (OPN), and prolactin (PROL) with CA-125 in the detection of ovarian cancer serum samples from healthy controls. Materials and Methods: A total of 432 serum samples were included in this study. 153 samples were from ovarian cancer patients and 279 samples were from age-matched healthy controls. The four proteins were quantified using a fully automated, multi-analyte immunoassay. The serum samples were divided into training and testing datasets and analyzed using four classification models to calculate accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: The four-protein biomarker panel yielded an average accuracy of 91% compared to 85% using CA-125 alone across four classification models (p = 3.224 &times; 10&minus;9). Further, in our cohort, the four-protein biomarker panel demonstrated a higher sensitivity (median of 76%), specificity (median of 98%), PPV (median of 91.5%), and NPV (median of 92%), compared to CA-125 alone. The performance of the four-protein biomarker remained better than CA-125 alone even in experiments comparing early stage (Stage I and Stage II) ovarian cancer to healthy controls. Conclusions: Combining MIF, OPN, PROL, and CA-125 can better differentiate ovarian cancer from healthy controls compared to CA-125 alone

    Oncogenic PIK3CA gene mutations and HER2/neu gene amplifications determine the sensitivity of uterine serous carcinoma cell lines to GDC-0980, a selective inhibitor of Class I PI3 kinase and mTOR kinase (TORC1/2)

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    To evaluate PIK3CA mutational status and c-erbB2 gene amplification in a series of primary uterine serous carcinomas (USC) cell lines. To assess the efficacy of GDC-0980, a potent inhibitor of Class I PI3 kinase and mTOR kinase (TORC1/2), against primary USC harboring HER2/neu gene amplification and/or PIK3CA mutations
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