Immunohistochemical detection of promyelocytic leukemia zinc finger and histone 1.5 in uterine leiomyosarcoma and leiomyoma.

OBJECTIVES: The accurate distinction of leiomyoma from leiomyosarcoma is essential for patient management. However, the distinction can be difficult to make, particularly in tissue biopsy samples. Immunohistochemistry has been established as a useful technique to aid in the diagnosis of malignancies. The advantages of immunohistochemical studies are their ease of use and interpretation. This study is the first to evaluate the utility of the promyelocytic leukemia zinc finger (PLZF) protein and the histone 1.5 (H1.5) protein as potential diagnostic immunohistochemical markers for distinguishing leiomyosarcoma from leiomyoma. METHODS: Tissue samples from 21 leiomyosarcomas and 26 leiomyomas were studied. The student t-test and the Fisher exact test were used to calculate the differences in staining between the 2 groups. RESULTS: Statistically significant differences were found in the staining indices of anti-PLZF and anti-H1.5 when comparing benign and malignant tumors (P < .0001 and P < .0001, respectively). The mean H1.5 staining score in leiomyosarcomas was 158.3, compared to 28.3 in leiomyomas. The mean PLZF score in leiomyosarcomas was 1.5 in contrast to 71.5 in leiomyomas. For H1.5 at a score ≥60, the sensitivity and specificity were 90.5% and 84.6%, respectively. For PLZF, a score ≤15 had a test sensitivity and specificity of 100% and 80.8%, respectively. This suggests that staining for H1.5 or PLZF can serve as a good screening test. Additionally, combining the 2 immunostains results in a sensitivity and specificity of 90.5% and 97.5%, respectively, in differentiating between leiomyoma and leiomyosarcoma. CONCLUSIONS: We describe immunostaining for PLZF and H1.5 in benign and malignant uterine smooth muscle tumors. Statistically significant differences in staining patterns were found, suggesting utility in distinguishing leiomyosarcomas from leiomyomas.

Early detection of ovarian cancer with conventional and contrast-enhanced transvaginal sonography: recent advances and potential improvements.

Recently, there have been several major technical advances in the sonographic diagnosis of ovarian cancer in its early stages. These include improved assessment of tumor morphology with transvaginal sonography (TVS), and detection and characterization of tumor neovascularity with transvaginal color Doppler sonography (TV-CDS) and contrast-enhanced transvaginal sonography (CE-TVS). This paper will discuss and illustrate these improvements and describe how they enhance detection of early-stage ovarian cancer. Our initial experience with parametric mapping of CE-TVS will also be mentioned.

The NF-κB pathway mediates lysophosphatidic acid (LPA)-induced VEGF signaling and cell invasion in epithelial ovarian cancer (EOC).

OBJECTIVES: Our previous report has implicated the involvement of VEGF-VEGFR-2 h signaling in LPA-induced EOC invasion. However, the mechanism by which LPA regulates VEGF and VEGFR-2 expression remains to be elucidated. In the present study, we systematically examined the signal transduction pathways activated by LPA and further evaluated whether LPA's effect on VEGF-VEGFR-2 signaling and EOC invasion was mediated by the activation of NF-κB pathway. METHODS: Using a signal transduction PathwayFinder PCR array, we examined the expression change of 86 key genes representing 18 signal transduction pathways in DOV13 and SKOV3 cells upon LPA (20 µM) treatment. We also used quantitative PCR, Western blotting and ELISA to evaluate the effect of NF-κB pathway inhibition on VEGF(121), VEGF(165) and VEGFR-2 mRNA and protein expression/secretion with or without the presence of LPA (20 µM) in SKOV3. Cell invasion under various treatment conditions was assessed by Matrigel invasion assay and MMP-2 secretion was detected by gelatin zymography. RESULTS: Our results showed that in both DOV13 and SKOV3, several of the NF-κB pathway components, such as TNF, are consistently activated by LPA stimulation. In addition, treatment with an NF-κB pathway activation inhibitor, at 10 µM, significantly decreased LPA-induced VEGF(121), VEGF(165) and VEGFR-2 mRNA expression and VEGF secretion, as well as LPA-induced SKOV3 invasion (p<0.05). When combined with an EGFR inhibitor, NF-κB pathway inhibition exhibited a significantly stronger effect than used alone (p<0.05) on reducing LPA-induced VEGF secretion and cell invasion. Additionally, NF-κB inhibition also decreased LPA-induced MMP-2 secretion and MMP-1 expression (p<0.05). CONCLUSIONS: These results suggest that the NF-κB pathway plays an important role in LPA-induced VEGF signaling and EOC invasion and targeting this pathway may reveal potential therapeutic options for metastatic EOC.

MMP-1-PAR1 axis mediates LPA-induced epithelial ovarian cancer (EOC) invasion.

OBJECTIVES: MMP-1 is over-expressed in many cancers, with high expression often associated with poor survival. In the present study, we examined the expression of MMP-1 in EOC and its role in EOC invasion. Moreover, we evaluated the role of a newly identified MMP-1-protease activated receptor (PAR)-1 axis in LPA-induced EOC invasion. METHODS: MMP-1 and PAR1 mRNA expression in EOC cell lines was determined by real time PCR. MMP-1 mRNA expression in 96 normal and carcinoma ovarian tissue specimens was analyzed using a TissueScan real time PCR array. MMP-1 concentration in conditioned medium was measured by MMP-1 ELISA. PAR1 protein expression was detected by Western blotting. Cell invasion was evaluated by in vitro Matrigel invasion assay. RESULTS: In ovarian tumor tissues more MMP-1 expression was observed than in normal ovarian tissues (p<0.05), and its expression correlated with tumor grade (grade 3>grade 2>grade 1). Human recombinant MMP-1 as well as serum free conditioned medium containing high levels of MMP-1 from DOV13 and R182 cells significantly promoted DOV13 cell invasion (p<0.05), implicating a direct role of MMP-1 in EOC invasion. Moreover, MMP-1 induced DOV13 invasion was significantly blocked by PAR1 siRNA silencing. Furthermore, MMP-1 and PAR1 were both significantly induced by LPA (20 µM), and siRNA silencing of MMP-1 and PAR1 both significantly reduced LPA's invasion-promoting effect in DOV13 cells (p<0.05). CONCLUSIONS: Our results suggest that the MMP-1-PAR1 axis is involved in EOC invasion and at least partially mediates LPA-induced EOC invasion. Therefore, blocking MMP-1 or PAR1 may represent a new therapeutic option for metastatic EOC.

Biomarkers for ovarian cancer detection and therapy.

Despite advances in surgical technologies and the development of more effective chemotherapeutics, epithelial ovarian cancer (EOC) remains the leading cause of death in women with gynecologic malignancies. The high mortality and morbidity associated with EOC is mostly attributed to the inability to detect the disease before it is widely disseminated throughout the abdominal cavity. In the past decade, tremendous efforts have been taken to search for novel biomarkers that will detect EOC at an early stage, which may also serve as new targets for the prevention and control of metastasis. Here, we review recent developments in EOC early detection and targeted therapy, as well as new technologies for the discovery of novel biomarkers.

Lysophosphatidic acid (LPA) effects on endometrial carcinoma in vitro proliferation, invasion, and matrix metalloproteinase activity.

OBJECTIVES: Lysophosphatidic acid (LPA) has potent growth-regulatory effect in many cell types and has been linked to the in vivo tumor growth and metastasis in several malignancies. The goal of this study was to assess the regulation of (EC) microenvironment by LPA through the examination of its effect on cell proliferation, migration, invasion, uPA activity, and matrix metalloproteinase (MMP) secretion/activation. METHODS: All experiments were performed in vitro using an EC cell line, HEC-1A. Cell proliferation was determined using the Promega MTS proliferation assay following 48 h of exposures to different concentrations of LPA (0.1, 1.0 and 10.0 microM). Cell invasion was assessed using a modified Boyden chamber assay with collagen I coated on the membrane. HEC-1A motility was examined by Boyden chamber migration assay as well as the scratch wound closure assay on type I collagen. MMP secretion/activation in HEC-1A conditioned medium was detected by gelatin zymography. MMP-7 mRNA expression was determined using real-time PCR. uPA activity was measured using a coupled colorimetric assay. RESULTS: LPA, at the concentrations of 0.1 and 1.0 microM, significantly induced the proliferation of HEC-1A cells (p<0.01). At 10 microM, LPA- induced HEC-1A proliferation to a less extent and showed no significant effect on HEC-1A invasion and migration (p>0.05). Gelatin zymogram showed that HEC-1A cells secreted high levels of MMP-7, while MMP-2 and MMP-9 are barely detectable. In addition, LPA significantly enhanced uPA activity in HEC-1A conditioned medium in a concentration-dependent manner. CONCLUSIONS: LPA is a potent modulator of cellular proliferation and invasion for EC cells. It also has the capacity to stimulate the secretion/activity of uPA and MMP-7. Those results suggest that LPA is a bioactive modulator of EC microenvironment and may have a distinct regulation mechanism as observed in epithelial ovarian cancer.

New frontiers for ovarian cancer risk evaluation: proteomics and contrast-enhanced ultrasound.

OBJECTIVE: The grim ovarian cancer statistics are attributed to the fact that most women typically present with widespread disease at the time of initial diagnosis. Our current diagnostic tools, such as pelvic examination and standard ultrasound, are inadequate to detect early-stage epithelial ovarian cancer. In recent years there has been an explosion of important advances in biomedical engineering, proteomic technologies, and computational analyses that has led to the identification of hundreds of previously unknown proteins unique to the pathophysiology of ovarian cancer, some of which are currently under clinical validation. At present, no one biomarker exists with 100% specificity and sensitivity for the accurate detection of early-stage epithelial ovarian cancer. CONCLUSION: As the search for a panel of biomarkers detecting cancer, let alone early-stage disease, progresses, diagnostic imaging will continue to play a critical role to confirm or refute these biomarker assays. Interestingly, recent studies using contrast-enhanced ultrasound have shown potential as an early-detection tool by detecting the aberrant vascularity required for tumor growth before the development of a mass. Thus, we propose that the use of proteomic-based biomarker discovery and contrast-enhanced ultrasound may serve as a promising combination to help accurately identify early-stage epithelial ovarian cancer to improve women's health care.

Advances in sonographic detection of ovarian cancer: depiction of tumor neovascularity with microbubbles.

OBJECTIVE: The purpose of this article is to discuss and illustrate the use of contrast-enhanced transvaginal sonography for the early detection of ovarian cancer and suggest how this technique may best be used to distinguish benign from malignant ovarian masses. CONCLUSION: Microbubble-enhanced transvaginal sonography can enhance the evaluation of ovarian masses by early detection of tumor microvascularity.

Roles of LPA in ovarian cancer development and progression.

Lysophosphatidic acid (LPA), a bioactive phospholipid, stimulates survival, proliferation, adhesion, migration and invasion of ovarian cancer cells through the activation of G-protein-coupled plasma membrane receptors. LPA and its receptors are aberrantly expressed in ovarian cancer, with high levels predominantly found in malignant ascites and in the plasma of ovarian cancer patients. LPA signals multiple intracellular pathways, such as Ras/MEKK1-MAPK and PI3K/Akt, to promote growth factors and protease expression, and induce angiogenesis and tumor cell invasion through the extracellular matrix and across the basement membrane. Only a small portion of this intricate lipid-signaling cascade has been characterized thus far. We believe that elucidation of this complex transduction network will provide further opportunities to understand the mechanism of ovarian carcinogenesis, invasion and metastasis.

Diagnostic parameters to differentiate benign from malignant ovarian masses with contrast-enhanced transvaginal sonography.

OBJECTIVE: The aim of this study was to evaluate diagnostic parameters to differentiate between benign versus malignant ovarian masses using contrast-enhanced transvaginal sonography (TVS). METHODS: Thirty-three consecutive patients with 36 morphologically abnormal ovarian masses (solid or cystic with papillary excrescences, focally thickened walls, or irregular solid areas) smaller than 10 cm received a microbubble contrast agent intravenously while undergoing pulse inversion harmonic TVS. The following parameters were assessed: presence of contrast enhancement, time to peak enhancement, peak contrast enhancement, half wash-out time, and area under the enhancement curve (AUC). Tumor histologic analysis was used to distinguish benign from malignant ovarian tumors. RESULTS: Twenty-six benign masses and 10 malignancies were studied. Of all examined criteria, an AUC of greater than 787 seconds(-1) was the most accurate diagnostic criterion for ovarian cancer, with 100.0% sensitivity and 96.2% specificity. Additionally, peak contrast enhancement of greater than 17.2 dB (90.0% sensitivity and 98.3% specificity) and half wash-out time of greater than 41.0 seconds (100.0% sensitivity and 92.3% specificity) proved to be useful. CONCLUSIONS: Our data suggest that the AUC, peak enhancement, and half wash-out time had the greatest diagnostic accuracy for contrast-enhanced TVS in differentiation between benign and malignant ovarian masses.

VEGFR-2 silencing by small interference RNA (siRNA) suppresses LPA-induced epithelial ovarian cancer (EOC) invasion.

BACKGROUND: The VEGF-VEGF receptor (VEGFR) signaling axis has emerged as a promising target for cancer therapy, attributing to its vital role in tumor angiogenesis and growth. We have previously reported the regulation of epithelial ovarian cancer (EOC) invasion and migration by VEGF and the implication of VEGF-VEGFR-2 axis in lysophosphatidic acid (LPA)-induced EOC invasion. However, the expression profile of VEGF and VEGFRs in EOC, their association with tumor aggressiveness, and their regulation by LPA remain unclear. OBJECTIVES AND METHODS: In this study, we examined the expression of VEGFR-1, VEGFR-2, neuropilin-1 (NRP-1), NRP-2, VEGF(121), and VEGF(165) in established EOC cell lines and assessed their correlation with cell invasiveness. Moreover, using an ovarian cancer tissue qPCR array, we analyzed VEGFR-2 expression across a panel of 48 tissues with different disease stages and histological grades. We also tested the effect of LPA on VEGF and VEGFR-2 expression and examined whether blocking VEGFR-2 by RNA interference (RNAi) affects LPA-induced EOC invasion. RESULTS: We show that VEGF and VEGFR-2 expression correlates with cell invasiveness and VEGFR-2 expression in ovarian cancer tissues correlate with tumor grade. In addition, LPA, at 20 muM, significantly induced the expression of VEGF(121), VEGF(165), and VEGFR-2 in SKOV3 and DOV13 cells (P<0.05). VEGFR-2 small interference RNA (siRNA) transfection remarkably decreased LPA's invasion-promoting effect (P<0.001) in SKOV3 cells without significantly decreasing SKOV3 cells' basal invasiveness. In DOV13 cells, VEGFR-2 silencing significantly decreases both the basal level cell invasion and LPA's invasion promoting effect (P<0.001). CONCLUSION: These results suggest that decreasing VEGFR-2 expression by RNAi may prove to be an effective method to reduce the metastatic potential of EOC cells exposed to elevated levels of LPA.

LPA receptor 2 mediates LPA-induced endometrial cancer invasion.

OBJECTIVE: We have previously shown that lysophosphatidic acid (LPA) promotes the ovarian cancer metastatic cascade. In this study, we evaluated the role of LPA on endometrial cancer invasion. METHODS: Transient mRNA knockdown was accomplished using pre-designed siRNA duplexes against LPA receptor 2 (LPA2) and human matrix metalloproteinase-7 (MMP-7). RT-PCR was used to characterize LPA receptor and MMP-7 expression. Analysis of in vitro invasion was performed with rat-tail collagen type I coated Boyden chambers. Gelatin zymography was used to evaluate the MMP activity in cell culture conditioned media. Cell-cell and cell-matrix attachment was also assessed upon LPA2 knockdown to further illuminate the LPA2 cascade. RESULTS: LPA increases HEC1A cellular invasion at physiologic concentrations (0.1-1 muM). Of the four principle LPA receptors, LPA2 is predominantly expressed by HEC1A cells. Transient transfection of LPA2 siRNA reduced LPA2 mRNA expression in HEC1A cells by 93% (P<0.01). Silencing LPA2 eliminated the LPA-stimulated increase in invasion (P<0.05) and reduced LPA-induced MMP-7 secretion/activation, without significantly affecting cell-cell or cell-matrix adhesion. Silencing MMP-7 reduced overall invasion but did not eliminate LPA's pro-invasive effect on HEC1A cells, as compared to negative control (P<0.05). Gelatin zymography confirmed that LPA2 and MMP-7 knockdown reduced MMP-7 activation in HEC1A conditioned media. CONCLUSION: LPA2 mediates LPA-stimulated HEC1A invasion and the subsequent activation of MMP-7.

Contrast-enhanced transvaginal sonography of benign versus malignant ovarian masses: preliminary findings.

OBJECTIVE: The aim of this prospective study was to evaluate differences in contrast enhancement and contrast enhancement kinetics in benign versus malignant ovarian masses with pulse inversion harmonic transvaginal sonography. METHODS: Seventeen consecutive patients with 23 morphologically abnormal ovarian masses (solid or cystic with papillary excrescences, focally thickened walls, or irregular solid areas) smaller than 10 cm received a microbubble contrast agent intravenously while undergoing pulse inversion harmonic transvaginal sonography. The following parameters were assessed in all tumors: detectable contrast enhancement, time to peak enhancement (wash-in), peak contrast enhancement, half wash-out time, and area under the enhancement curve. Tumor histologic analysis was used to distinguish benign from malignant ovarian tumors. RESULTS: Fourteen benign masses and 9 malignancies were studied. There was a statistically significant difference in the peak enhancement (mean +/- SD, 23.3 +/- 2.8 versus 12.3 +/- 3.9 dB; P < .01), half wash-out time (139.9 +/- 43.6 versus 46.3 +/- 19.7 seconds; P < .01), and area under the enhancement curve (2012.9 +/- 532.9 versus 523.9 +/- 318 seconds(-1); P < .01) in malignant masses compared with benign disease. There was no statistically significant difference in the time to peak enhancement (26.1 +/- 6.3 versus 24.9 +/- 7.6 seconds; P = .07). CONCLUSIONS: Overall, our data showed a significant difference in the contrast enhancement kinetic parameters between benign and malignant ovarian masses.

S1P induced changes in epithelial ovarian cancer proteolysis, invasion, and attachment are mediated by Gi and Rac.

OBJECTIVES: We previously demonstrated that sphingosine 1-phosphate (S1P) bimodally regulates epithelial ovarian cancer (EOC) cell invasiveness: low-concentration S1P stimulates invasion similar to lysophophatidic acid (LPA), while high-concentration S1P inhibits invasion. In this study, we investigated the mechanisms through which S1P affects EOC cell proteolysis, invasion, and adhesion in two cultured epithelial ovarian cancer cell lines. METHODS: G-protein Gi was inhibited by pertussis toxin (PTX) and GTP binding protein Rac by NSC23766. S1P conditioned media of DOV13 and OVCA429 cells were evaluated via gel zymography, fluorometric gelatinase assay, urokinase plasminogen activator (uPA) activity assay, and Western Blot for MT1-MMP. Cell invasion was analyzed in Matrigel chambers. Membrane-N-cadherin was localized via fluorescence microscopy. RESULTS: Zymography revealed pro-MMP2 in conditioned media of EOC cells regardless of treatment. Gelatinase activity was increased by low-concentration S1P. In DOV13 cells this effect was Gi and Rac dependent. In all OVCA429 and control DOV13 cells, PTX enhanced gelatinolysis, suggesting an MMP2-inhibitory pathway via Gi. MT1-MMP was decreased Gi-dependently by high-concentration S1P. Rac inhibition significantly counteracted low-S1P enhancement and high-S1P reduction of DOV13 invasiveness; and uPA activity in conditioned media of invading cells correlated significantly. Immunohistochemistry revealed Gi-dependent clustering of membrane-N-cadherin in DOV13 cells treated with 0.5 microM S1P or 10 microM LPA. CONCLUSIONS: S1P influences EOC invasion by regulating ECM-proteolysis and cell-cell attachment via MMP2, uPA, and membrane-N-cadherin. Furthermore, this study illustrates that the net effect of S1P on each of these processes reflects a complex interplay of multiple GPCR pathways involving Gi and downstream Rac.

Matrix metalloproteinase 9 is a mediator of epidermal growth factor-dependent e-cadherin loss in ovarian carcinoma cells.

Epidermal growth factor (EGF) receptor (EGFR) is frequently elevated in epithelial ovarian cancer, and E-cadherin expression is often reduced in advanced disease. In this study, we investigated a mechanism by which EGFR activation promotes disruption of adherens junctions through induction of matrix metalloproteinase 9 (MMP-9). We show that EGFR activation down-modulates E-cadherin, and broad spectrum MMP inhibition ameliorates EGF-stimulated junctional disruption and loss of E-cadherin protein. MMP-9 involvement in EGF-dependent down-regulation of E-cadherin was determined by siRNA specifically directed against MMP-9. Furthermore, treatment with recombinant MMP-9 or transient expression of MMP-9 is sufficient to reduce E-cadherin levels in differentiated ovarian tumor cells. Stable overexpression of MMP-9 led to a loss of E-cadherin and junctional integrity, and promoted a migratory and invasive phenotype. Thus, elevated MMP-9 protein expression is sufficient for junctional disruption and loss of E-cadherin in these cells. The associations between EGFR activation, MMP-9 expression, and E-cadherin were investigated in human ovarian tumors and paired peritoneal metastases wherein immunohistochemical staining for activated (phospho) EGFR and MMP-9 colocalized with regions of reduced E-cadherin. These data suggest that regulation of MMP-9 by EGFR may represent a novel mechanism for down-modulation of E-cadherin in ovarian cancer.

Lysophosphatidic acid (LPA) promotes E-cadherin ectodomain shedding and OVCA429 cell invasion in an uPA-dependent manner.

OBJECTIVES: To evaluate the role of LPA in regulating E-cadherin cell surface expression, adhesion, and invasion in epithelial ovarian carcinoma (EOC) cells. METHODS: E-cadherin mRNA expression in OVCA429 and IOSE-29 cells was evaluated by real-time RT-PCR. Immunofluorescence and Western blot analysis were performed to determine cell surface expression and shedding of E-cadherin 80-kDa soluble fragment by LPA. Kinetics of LPA-induced uPA activity was followed with a colorimetric enzymatic assay. Invasion assays were performed in a modified Boyden chamber where cells were allowed to migrate to the bottom compartment through a porous filter coated with collagen. Additionally we measured the 80-kDa form from the ascites of women with stage III/IV EOC. RESULTS: LPA induces E-cadherin shedding of a soluble 80-kDa fragment. We found that this process is mediated by the uPA proteolytic cascade. High levels of soluble E-cadherin were found in the ascites from women with advanced stage EOC. LPA and a soluble recombinant E-cadherin-Fc chimera promotes invasion of OVCA429 cells. CONCLUSIONS: LPA induces shedding of an 80-kDa E-cadherin-soluble fragment in an uPA-dependent manner and promotes in vitro invasion. High levels of soluble E-cadherin in malignant ascites may also affect ovarian metastasis.

A robust biomarker discovery pipeline for high-performance mass spectrometry data.

A high-throughput software pipeline for analyzing high-performance mass spectral data sets has been developed to facilitate rapid and accurate biomarker determination. The software exploits the mass precision and resolution of high-performance instrumentation, bypasses peak-finding steps, and instead uses discrete m/z data points to identify putative biomarkers. The technique is insensitive to peak shape, and works on overlapping and non-Gaussian peaks which can confound peak-finding algorithms. Methods are presented to assess data set quality and the suitability of groups of m/z values that map to peaks as potential biomarkers. The algorithm is demonstrated with serum mass spectra from patients with and without ovarian cancer. Biomarker candidates are identified and ranked by their ability to discriminate between cancer and noncancer conditions. Their discriminating power is tested by classifying unknowns using a simple distance calculation, and a sensitivity of 95.6% and a specificity of 97.1% are obtained. In contrast, the sensitivity of the ovarian cancer blood marker CA125 is approximately 50% for stage I/II and approximately 80% for stage III/IV cancers. While the generalizability of these markers is currently unknown, we have demonstrated the ability of our analytical package to extract biomarker candidates from high-performance mass spectral data.