Delia Mezzanzanica

Alterations of Choline Phospholipid Metabolism in Ovarian Tumor Progression

Recent characterization of abnormal phosphatidylcholine metabolism in tumor cells by nuclear magnetic resonance (NMR) has identified novel fingerprints of tumor progression that are potentially useful as clinical diagnostic indicators. In the present study, we analyzed the concentrations of phosphatidylcholine metabolites, activities of phosphocholine-producing enzymes, and uptake of [methyl-14C]choline in human epithelial ovarian carcinoma cell lines (EOC) compared with normal or immortalized ovary epithelial cells (EONT). Quantification of phosphatidylcholine metabolites contributing to the 1H NMR total choline resonance (3.20-3.24 ppm) revealed intracellular [phosphocholine] and [total choline] of 2.3 +/- 0.9 and 5.2 +/- 2.4 nmol/10(6) cells, respectively, with a glycerophosphocholine/phosphocholine ratio of 0.95 +/- 0.93 in EONT cells; average [phosphocholine] was 3- to 8-fold higher in EOC cells (P < 0.0001), becoming the predominant phosphatidylcholine metabolite, whereas average glycerophosphocholine/phosphocholine values decreased significantly to < or =0.2. Two-dimensional (phosphocholine/total choline, [total choline]) and (glycerophosphocholine/total choline, [total choline]) maps allowed separate clustering of EOC from EONT cells (P < 0.0001, 95% confidence limits). Rates of choline kinase activity in EOC cells were 12- to 24-fold higher (P < 0.03) than those in EONT cells (basal rate, 0.5 +/- 0.1 nmol/10(6) cells/h), accounting for a consistently elevated (5- to 15-fold) [methyl-14C]choline uptake after 1-hour incubation (P < 0.0001). The overall activity of phosphatidylcholine-specific phospholipase C and phospholipase D was also higher ( approximately 5-fold) in EOC cells, suggesting that both biosynthetic and catabolic pathways of the phosphatidylcholine cycle likely contribute to phosphocholine accumulation. Evidence of abnormal phosphatidylcholine metabolism might have implications in EOC biology and might provide an avenue to the development of noninvasive clinical tools for EOC diagnosis and treatment follow-up.

Activation of Phosphatidylcholine Cycle Enzymes in Human Epithelial Ovarian Cancer Cells

Altered phosphatidylcholine (PC) metabolism in epithelial ovarian cancer (EOC) could provide choline-based imaging approaches as powerful tools to improve diagnosis and identify new therapeutic targets. The increase in the major choline-containing metabolite phosphocholine (PCho) in EOC compared with normal and nontumoral immortalized counterparts (EONT) may derive from (a) enhanced choline transport and choline kinase (ChoK)-mediated phosphorylation, (b) increased PC-specific phospholipase C (PC-plc) activity, and (c) increased intracellular choline production by PC deacylation plus glycerophosphocholine-phosphodiesterase (GPC-pd) or by phospholipase D (pld)-mediated PC catabolism followed by choline phosphorylation. Biochemical, protein, and mRNA expression analyses showed that the most relevant changes in EOC cells were (a) 12-fold to 25-fold ChoK activation, consistent with higher protein content and increased ChoKalpha (but not ChoKbeta) mRNA expression levels; and (b) 5-fold to 17-fold PC-plc activation, consistent with higher, previously reported, protein expression. PC-plc inhibition by tricyclodecan-9-yl-potassium xanthate (D609) in OVCAR3 and SKOV3 cancer cells induced a 30% to 40% reduction of PCho content and blocked cell proliferation. More limited and variable sources of PCho could derive, in some EOC cells, from 2-fold to 4-fold activation of pld or GPC-pd. Phospholipase A2 activity and isoform expression levels were lower or unchanged in EOC compared with EONT cells. Increased ChoKalpha mRNA, as well as ChoK and PC-plc protein expression, were also detected in surgical specimens isolated from patients with EOC. Overall, we showed that the elevated PCho pool detected in EOC cells primarily resulted from upregulation/activation of ChoK and PC-plc involved in PC biosynthesis and degradation, respectively.

Gene expression profiling of advanced ovarian cancer: characterization of a molecular signature involving fibroblast growth factor 2

Epithelial ovarian cancer (EOC) is the gynecological disease with the highest death rate. We applied an automatic class discovery procedure based on gene expression profiling to stages III–IV tumors to search for molecular signatures associated with the biological properties and progression of EOC. Using a complementary DNA microarray containing 4451 cancer-related, sequence-verified features, we identified a subset of EOC characterized by the expression of numerous genes related to the extracellular matrix (ECM) and its remodeling, along with elements of the fibroblast growth factor 2 (FGF2) signaling pathway. A total of 10 genes were validated by quantitative real-time polymerase chain reaction, and coexpression of FGF2 and fibroblast growth factor receptor 4 in tumor cells was revealed by immunohistochemistry, confirming the reliability of gene expression by cDNA microarray. Since the functional relationships among these genes clearly suggested involvement of the identified molecular signature in processes related to epithelial–stromal interactions and/or epithelial–mesenchymal cellular plasticity, we applied supervised learning analysis on ovarian-derived cell lines showing distinct cellular phenotypes in culture. This procedure enabled construction of a gene classifier able to discriminate mesenchymal-like from epithelial-like cells. Genes overexpressed in mesenchymal-like cells proved to match the FGF2 signaling and ECM molecular signature, as identified by unsupervised class discovery on advanced tumor samples. In vitro functional analysis of the cell plasticity classifier was carried out using two isogenic and immortalized cell lines derived from ovarian surface epithelium and displaying mesenchymal and epithelial morphology, respectively. The results indicated the autocrine, but not intracrine stimulation of mesenchymal conversion and cohort/scatter migration of cells by FGF2, suggesting a central role for FGF2 signaling in the maintenance of cellular plasticity of ovary-derived cells throughout the carcinogenesis process. These findings raise mechanistic hypotheses on EOC pathogenesis and progression that might provide a rational underpinning for new therapeutic modalities.

Subcellular Localization of Activated Leukocyte Cell Adhesion Molecule Is a Molecular Predictor of Survival in Ovarian Carcinoma Patients

Purpose: Currently available clinicopathologic prognostic factors are imperfect predictors of clinical course in advanced-stage epithelial ovarian cancer patients. New molecular predictors are needed to identify patients with higher risk of relapse or death from disease. In a retrospective study, we investigated the prognostic impact of activated leukocyte cell adhesion molecule (ALCAM) expression in epithelial ovarian cancer. Experimental Design: We analyzed the effect of cell-anchorage loss on ALCAM cellular localization in vitro and assessed ALCAM expression by immunohistochemistry in a series of 109 well-characterized epithelial ovarian cancer patient samples. Chi-square test, Kaplan-Meier method, and Cox proportional hazard analyses were used to relate ALCAM cellular localization to clinical-pathologic parameters and to overall survival (OS) rate. Results: Loss of epithelial ovarian cancer cell anchorage was associated both in vitro and in vivo with decreased ALCAM membrane expression. In vivo, ALCAM was localized to cell membrane in normal surface ovarian epithelium, whereas in 67% of the epithelial ovarian cancer samples, membrane localization was decreased or even lost, and the molecule was mainly expressed in cytoplasm. Median OS in this group of patients was 58 months, whereas a median OS was not yet reached in patients with ALCAM membrane localization (P = 0.036, hazard ratio [HR] = 2.0, 95% confidence interval [CI] 1.1 to 3.5). In a multivariate Cox regression model including all the available clinicopathologic variables, loss of ALCAM membrane expression was an independent factor of unfavorable prognosis (P = 0.042, HR = 2.15, 95% CI: 1.0 to 4.5). Conclusions: Decreased/lost ALCAM membrane expression is a marker of poorer outcome in epithelial ovarian cancer patients and might help to identify patients who could benefit from more frequent follow-up or alternative therapeutic modalities.

The ALCAM shedding by the metalloprotease ADAM17/TACE is involved in motility of ovarian carcinoma cells.

Previous findings indicated that the activated leukocyte cell adhesion molecule (ALCAM) is expressed by tumors and plays a role in tumor biology. In this study, we show that ALCAM is shed from epithelial ovarian cancer (EOC) cells in vitro, leading to the generation of a soluble ALCAM (sALCAM), consisting of most of the extracellular domain. A similar sALCAM molecule was also found in the ascitic fluids and sera from EOC patients, suggesting that this process also occurs in vivo. sALCAM is constitutively produced by EOC cells, and this process can be enhanced by cell treatment with pervanadate, phorbol 12-myristate 13-acetate (PMA), or epidermal growth factor (EGF), a known growth factor for EOC. Pharmacologic inhibitors of matrix metalloproteinases (MMP) and of a disintegrin and metalloproteases (ADAM), and the tissue inhibitor of metalloproteinase-3, significantly inhibited sALCAM release by EOC cells. The ADAM17/TACE molecule was expressed in EOC cell lines and ADAM17/TACE silencing by specific small interfering RNA–reduced ALCAM shedding. In addition, inhibitors of ADAM function blocked EOC cell motility in a wound-healing assay. Conversely, a recombinant antibody blocking ALCAM adhesive functions and inducing ALCAM internalization enhanced EOC cell motility. Altogether, our data suggest that the disruption of ALCAM-mediated adhesion is a relevant step in EOC motility, and ADAM17/TACE takes part in this process, which may be relevant to EOC invasive potential. (Mol Cancer Res 2007;5(12):1246–53)

Reversion of transformed phenotype in ovarian cancer cells by intracellular expression of anti folate receptor antibodies.

The α-folate receptor (FR) is selectively overexpressed in 90% of nonmucinous ovarian carcinomas, whereas no expression is detectable in normal ovarian surface epithelium (OSE). Indirect evidence suggests that FR expression is associated with tumor progression and affects cell proliferation. To evaluate better the role of FR, we developed an approach based on intracellular expression of single-chain (sc) antibodies (intrabody) to downmodulate membrane expression of FR in ovary cancer cells. IGROV-1 and SKOV3 ovarian carcinoma cell lines were transfected with an anti-FR intrabody. Transfectants and parental cells were tested for FR, integrins and anti-FR intrabody expression by fluorescence-activated cell sorting (FACS), reverse transcription and polymerase chain reaction (RT-PCR) and/or immunoblotting. Cell growth characteristics and adhesion properties were evaluated in liquid, semisolid and organotypic cultures. The anti-FR scFv inhibited FR expression from 60 to 99%. At physiological concentrations of folate, proliferation varied directly as a function of FR expression. FR downmodulation was accompanied by reduced colony-forming ability in soft agar, morphological change of the cells, significant enhanced adhesion to laminin or Matrigel, a two- to three-fold increase in α6β4 integrin expression, and a marked reduction in laminin production. In three-dimensional organotypic cultures, anti-FR intrabody-transfected IGROV1 cells grew as a single-ordered layer, reminiscent of normal OSE growth in vivo. In conclusion, the anti-FR intrabody reverses the transformed phenotype in ovary cancer cells and may provide an efficient means to inhibit selectively the growth of these cells.

Phosphatidylcholine-Specific Phospholipase C Activation in Epithelial Ovarian Cancer Cells

Elucidation of the mechanisms responsible for aberrant phosphatidylcholine (PC) metabolism in cancer cells may allow identification of novel biomarkers of tumor progression and design of new targeted anticancer therapies. We recently reported up-regulation of PC-specific phospholipases in epithelial ovarian cancer cells (EOC) compared with nontumoral (normal or immortalized) counterparts (EONT). In the present study, we focused, in the same cell systems, on levels, subcellular localization, and activity of PC-specific phospholipase C (PC-PLC), for which a key role in cell proliferation, differentiation, and apoptosis has been shown in several mammalian cells. A 66-kDa PC-PLC isoform, detected in nuclear and cytoplasmic compartments of both EOC and EONT cells, accumulated on the external plasma membrane of cancer cells only, where it colocalized with beta1 integrin, in nonraft membrane domains. PC-PLC activity was 3-fold higher in total cell lysates and 5-fold higher in membrane-enriched fractions of EOC compared with EONT cells. Serum deprivation induced in EOC, but not in EONT, cells a 3-fold decrease in PC-PLC activity, associated with a 40% drop in S-phase fraction. The recovery of both variables to their original levels in serum-restimulated (or lysophosphatidic acid-restimulated) EOC cells was strongly delayed, for at least 24 h, in the presence of the PC-PLC inhibitor tricyclodecan-9-yl-potassium xanthate (D609). The S-phase of serum-restimulated EONT cells was not sensitive to D609. These findings warrant further investigations on the role of PC-PLC and on the effects of its inhibition on the pathways responsible for constitutive EOC cell stimulation and cell proliferation.

M-cam expression as marker of poor prognosis in epithelial ovarian cancer

Currently available clinico–pathologic criteria provide an imperfect assessment of outcome for patients with advanced epithelial ovarian cancer (EOC). Identification of prognostic factors related to tumor biology might improve this assessment. We investigated the prognostic significance of the melanoma cell adhesion molecule (M‐CAM) in EOC. Using the same antibody, M‐CAM expression was tested by Western blotting in protein extracts and by immunohistochemestry in tissue microarrays generated from 133 consecutively resected, well characterized EOC samples. Fisher test, Kaplan–Meier method and Cox proportional hazards analysis were used to relate M‐CAM expression to clinico–pathological variables and to time to progression (TTP) and overall survival (OS). In vitro biochemical analysis showed a progressively increased M‐CAM expression from normal to malignant cells. M‐CAM protein, detected immunohistochemically, was significantly associated with advanced tumor stage, serous and undifferentiated histotype, extent of residual disease and p53 accumulation. Presence or absence of M‐CAM significantly divided patients according to their TTP (median, 22 vs. 79 months, respectively; log‐rank p = 0.001) and OS (median, 42 vs. 131 months, respectively; log‐rank p = 0.0003). In the subgroup of advanced stage patients who achieved complete response after front‐line treatment, M‐CAM expression and absence of residual disease were significantly associated with shorter TTP (p = 0.003, HR 5.25, 95% Cl 1.79–15.41 and p = 0.011, HR 3.77, 95% Cl 1.36–10.49 respectively) at the multivariate level. In the same sub‐group of patients, M‐CAM expression remained the only parameter significantly associated with OS (p = 0.005, HR 3.35, 95% Cl 1.42–6.88). M‐CAM is a marker of early relapse and poorer outcome in EOC. In particular, M‐CAM expression identifies a subgroup of front‐line therapy‐responding patients who undergo dramatic relapses, thus helping to better select patients who might benefit from new/alternative therapeutic modalities.

Role of microRNAs in ovarian cancer pathogenesis and potential clinical implications.

Despite important improvements over the past two decades, the overall cure rate of epithelial ovarian cancer (EOC) remains only approximately 30%. Although much has been learned about the proteins and pathways involved in early events of malignant transformation and drug resistance, a major challenge still remaining is the identification of markers for early diagnosis and prediction of response to chemotherapy. Recently, it has become clear that alterations in the expression of microRNAs (miRNAs) contribute to the pathogenesis and progression of several human malignancies. In this review we discuss current data concerning the accumulating evidence of the role of miRNAs in EOC pathogenesis and tumor characterization; their dysregulated expression in EOC; and their still undefined role in diagnosis, prognosis and prediction of response to therapy. The most frequently deregulated miRNAs are members of the let-7 and miR-200 families, the latter involved in epithelial-to-mesenchymal transition (EMT). EMT is part of normal ovarian surface epithelium physiology, being the key regulator of the post-ovulatory repair process, and failure to undergo EMT may be one of the events leading to transformation. A general down-modulation of miRNA expression is observed in EOC compared to normal tissue. However, a clear consensus on the miRNA signatures associated with prognosis or prediction of response to therapy has not yet been reached.

Redirected activity of human antitumor chimeric immune receptors is governed by antigen and receptor expression levels and affinity of interaction.

Novel Ab-based immunotherapeutic strategies have exploited T-cell receptor-like chimeric immune receptors (CIR) expressed on the surface of transduced human peripheral blood mononuclear cell (PBMC) to redirect potent non–major histocompatibility complex-dependent cytotoxicity to tumor cells expressing a tumor-associated antigens. We transduced human PBMC with 2 fully human CIRs that trigger through the ζ-chain of CD3 and contain either one of two human scFv specific for the same epitope on the extracellular domain of HER2 but with distinctly different affinities (KD 1616 and 1 nM) for this antigen. Potent direct CIR-mediated killing and in vitro tumor growth inhibition mediated by transduced PBMC were observed against targets expressing different levels of HER2. High-affinity CIR showed stronger ability to bind Ag and retain binding than low-affinity CIR. When lytic potential of the 2 CIRs was evaluated, their efficiency was comparable under conditions of high CIR and Ag expression, whereas low-affinity CIR was more efficient than high-affinity CIR in conditions of limiting Ag and CIR expression levels. When tumor growth inhibition was evaluated, Ag and CIR levels, rather than CIR affinity appeared relevant. Ag-driven CIR activation resulted in the production of soluble factors mediating efficient bystander effect. By carefully defining CIR surface expression and increasing affinity for a specific target antigen, it may be possible to selectively exclude CIR-mediated activity against targets expressing low levels of antigen, as normal cells. On the contrary, low antigen-expressing tumor variants could be eliminated by decreasing CIR affinity. Tuning CIR expression and affinity might help in discriminating different biologic contexts.