Genomics of the NF-κB signaling pathway: hypothesized role in ovarian cancer

Curcumin potentiates the anti-inflammatory effects of Tehranolide by modulating the STAT3/NF-κB signaling pathway in breast and ovarian cancer cell lines

BACKGROUND

Studies have demonstrated that natural products, such as curcumin and artemisinin, possess anti-inflammatory effects, which can be beneficial for cancer treatment. Tehranolide, as a novel natural product, has a wide range of biological activities, including anti-cancer effects. However, many properties of Tehranolide, like its anti-inflammatory activity and its combination with curcumin, have not been investigated yet. This investigation examined the anti-inflammatory activity of Tehranolide, either alone or in combination with curcumin, via modulating the NF-κB (nuclear factor kappa-light-chain-enhancer of activated B cells) and STAT3 (signal transducer and activator of transcription 3) signaling pathways in MDA-MB-231 and SKOV3, breast and ovarian cancer cell lines.

METHODS

ELISA-based methods were employed to measure the pro-inflammatory cytokine levels and the NF-κB activity in lipopolysaccharide (LPS)-induced cells. The real-time PCR experiment and Griess test were performed to evaluate inducible nitric oxide synthase (iNOS) gene expression and nitrite levels, respectively. The STAT3 and NF-κB signaling pathways were investigated by Western blotting analysis. Tehranolide's anti-cancer activity was also assessed in a mouse model of breast cancer using the TUNEL (terminal deoxynucleotidyl transferase nick-end labeling) assay.

RESULTS

Tehranolide diminished levels of pro-inflammatory cytokines in cancer cells. Additionally, it suppressed NF-κB DNA binding and STAT3 phosphorylation, reducing iNOS gene expression and nitrite production. Moreover, Western blotting showed that Tehranolide enhanced the inhibitory κB (IκBα) and Bcl-2 (B-cell lymphoma 2)-associated X (BAX) expression, and downregulated the expression of Bcl-2 proteins. Furthermore, the TUNEL assay demonstrated that Tehranolide induced apoptosis in a breast cancer mouse model. Curcumin potentiated all the anti-inflammatory effects of Tehranolide.

CONCLUSION

This investigation indicated for the first time that Tehranolide, either alone or in combination with curcumin, exerted its anti-inflammatory effects by suppressing NF-κB and STAT3 signaling pathways in SKOV3 and MDA-MB-231 cells.

NF-kB in Signaling Patterns and Its Temporal Dynamics Encode/Decode Human Diseases

Defects in signaling pathways are the root cause of many disorders. These malformations come in a wide variety of types, and their causes are also very diverse. Some of these flaws can be brought on by pathogenic organisms and viruses, many of which can obstruct signaling processes. Other illnesses are linked to malfunctions in the way that cell signaling pathways work. When thinking about how errors in signaling pathways might cause disease, the idea of signalosome remodeling is helpful. The signalosome may be conveniently divided into two types of defects: phenotypic remodeling and genotypic remodeling. The majority of significant illnesses that affect people, including high blood pressure, heart disease, diabetes, and many types of mental illness, appear to be caused by minute phenotypic changes in signaling pathways. Such phenotypic remodeling modifies cell behavior and subverts normal cellular processes, resulting in illness. There has not been much progress in creating efficient therapies since it has been challenging to definitively confirm this connection between signalosome remodeling and illness. The considerable redundancy included into cell signaling systems presents several potential for developing novel treatments for various disease conditions. One of the most important pathways, NF-κB, controls several aspects of innate and adaptive immune responses, is a key modulator of inflammatory reactions, and has been widely studied both from experimental and theoretical perspectives. NF-κB contributes to the control of inflammasomes and stimulates the expression of a number of pro-inflammatory genes, including those that produce cytokines and chemokines. Additionally, NF-κB is essential for controlling innate immune cells and inflammatory T cells' survival, activation, and differentiation. As a result, aberrant NF-κB activation plays a role in the pathogenesis of several inflammatory illnesses. The activation and function of NF-κB in relation to inflammatory illnesses was covered here, and the advancement of treatment approaches based on NF-κB inhibition will be highlighted. This review presents the temporal behavior of NF-κB and its potential relevance in different human diseases which will be helpful not only for theoretical but also for experimental perspectives.

A High-Fat and High-Carbohydrate Diet Promotes Reminiscent Hallmarks of an Aging Ovary in the Rabbit Model

The primary definition of ovarian aging refers to the loss of follicles. Moreover, the aging of the microenvironment in ovaries, specifically affecting the follicles, may reveal deterioration with advancing age. Besides aging, metabolic disorders associated with hypercaloric diets may affect ovarian health and manifest characteristics associated with premature aging. In this study, we used 10-week-old chinchilla rabbits fed with a high-fat and high-carbohydrate diet (HFCD) until 25 weeks of age to explore hallmarks of reminiscent ovarian aging. The HFCD diet appeared to affect the ovarian reserve, reflected in a significant decrease in primordial follicles. Likewise, Sudan black stain detection revealed substantial differences in the deposits of lipofuscin in the interstitial glands of HFCD-fed rabbits compared to controls, constituting a "hallmark" of aging. The HFCD showed no induced changes in the expression of SOD 2 in the interstitial gland; however, surface epithelium cells were greater expressed. Besides this, the HFCD induced nuclear translocation of NF-ΚΒ p65 factor transcription in surface epithelium cells. We conclude that an HFCD induces a greater accumulation of senescence cells in the interstitial gland, promoting characteristics reminiscent of ovarian aging. However, the activation mechanism of NF-KB caused by an HFCD, which may be stress-responsive and generated by the interstitial gland, requires further study.

Insights into the Role of Oxidative Stress in Ovarian Cancer

Oxidative stress (OS) arises when the body is subjected to harmful endogenous or exogenous factors that overwhelm the antioxidant system. There is increasing evidence that OS is involved in a number of diseases, including ovarian cancer (OC). OC is the most lethal gynecological malignancy, and risk factors include genetic factors, age, infertility, nulliparity, microbial infections, obesity, smoking, etc. OS can promote the proliferation, metastasis, and therapy resistance of OC, while high levels of OS have cytotoxic effects and induce apoptosis in OC cells. This review focuses on the relationship between OS and the development of OC from four aspects: genetic alterations, signaling pathways, transcription factors, and the tumor microenvironment. Furthermore, strategies to target aberrant OS in OC are summarized and discussed, with a view to providing new ideas for clinical treatment.

Deep Pathway Analysis V2.0: A Pathway Analysis Framework Incorporating Multi-Dimensional Omics Data

Pathway analysis is essential in cancer research particularly when scientists attempt to derive interpretation from genome-wide high-throughput experimental data. If pathway information is organized into a network topology, its use in interpreting omics data can become very powerful. In this paper, we propose a topology-based pathway analysis method, called DPA V2.0, which can combine multiple heterogeneous omics data types in its analysis. In this method, each pathway route is encoded as a Bayesian network which is initialized with a sequence of conditional probabilities specifically designed to encode directionality of regulatory relationships defined in the pathway. Unlike other topology-based pathway tools, DPA is capable of identifying pathway routes as representatives of perturbed regulatory signals. We demonstrate the effectiveness of our model by applying it to two well-established TCGA data sets, namely, breast cancer study (BRCA) and ovarian cancer study (OV). The analysis combines mRNA-seq, mutation, copy number variation, and phosphorylation data publicly available for both TCGA data sets. We performed survival analysis and patient subtype analysis and the analysis outcomes revealed the anticipated strengths of our model. We hope that the availability of our model encourages wet lab scientists to generate extra data sets to reap the benefits of using multiple data types in pathway analysis. The majority of pathways distinguished can be confirmed by biological literature. Moreover, the proportion of correctly indentified pathways is 10 percent higher than previous work where only mRNA-seq and mutation data is incorporated for breast cancer patients. Consequently, such an in-depth pathway analysis incorporating more diverse data can give rise to the accuracy of perturbed pathway detection.

Symbiotic prodrugs (SymProDs) dual targeting of NFkappaB and CDK

The release of an active drug from the prodrug generates a pro-fragment that typically has no biological activity and could result in adverse effects. By combining two drugs, wherein each drug acts as a pro-fragment of the other drug will eliminate the pro-fragment in the prodrug. As they are prodrugs of each other and are symbiotic, we termed these as symbiotic prodrugs (SymProDs). To test this idea, we generated SymProDs using NFκB inhibitors that contain the reactive α-methylene-γ-butyrolactone moiety and CDK inhibitors with solvent exposed secondary nitrogen atoms. We show that secondary amine prodrugs of α-methylene-γ-butyrolactone containing NFκB inhibitors undergo slow release over a 72 hr period. Using an alkyne-tagged secondary amine prodrug of α-methylene-γ-butyrolactone containing NFκB inhibitor, we demonstrate target engagement. The NFκB-CDK SymProDs were ~20- to 200-fold less active against the corresponding CDK inhibitors in in vitro CDK kinase assays. Growth inhibition studies in a panel of ovarian cancer cell lines revealed potency trends of the SymProDs mirrored those of the single treatments suggesting their dissociation in cells. In conclusion, our results suggest that SymProDs offer a productive path forward for advancing compounds with reactive functionality and can be used as dual targeting agents.

Triptolide sensitizes cisplatin-resistant human epithelial ovarian cancer by inhibiting the phosphorylation of AKT

Advanced and chemotherapy-resistant ovarian cancer causes high mortality of ovarian cancer, and it is important to find safe and effective drugs to reduce the chemotherapeutic resistance of ovarian cancer. In our study, we attempted to clarify the resistance mechanisms of SKOV3/DDP cells in vitro and evaluated the sensitization to triptolide (TPL) in vivo. Our results indicated that the overexpression of AKT and p-AKT greatly enhanced the cisplatin (DDP) tolerance of SKOV3/DDP, and the combination of DDP+TPL had a significant tumour inhibition effect compared to DDP treatment (p<0.05), via reducing the expressions of p-PI3K, p-Akt, Survivin, VEGF and MMP-2, and the increase of Caspase-3. Collectively, these results suggest that the synergistic anticancer effect of TPL and DDP warrants their potential clinical applications in further.

In vivo effects of dexmedetomidine on immune function and tumor growth in rats with ovarian cancer through inhibiting the p38MAPK/NF-κB signaling pathway

OBJECTIVES

During this study, we aimed to analyze the correlation between dosages of dexmedetomidine (DEX) and the p38MAPK/NF-κB signaling pathway, and their effects on immune function and tumor growth in rats with ovarian cancer (OC).

METHODS

A total of 100 rats were selected for the purposes of the study. The normal group consisted of 20 rats, while the remaining 80 rats were utilized for OC model establishment purposes, and further assigned into the model, 0.2 DEX, 1 DEX and 5 DEX groups (based on respective dosages of DEX, n=20 per group). The tumor inhibition rate was calculated. Positive expressions of p38 and NF-κB in ovarian tissues were examined by means of immunohistochemical staining. Cell transformation as well as lymphocyte proliferation rates were measured using MTT. Cell cycle and apoptosis of CD4+ and CD8+ cells were determined by flow cytometry. Serum levels of IL-2 and TNF-α were detected using ELISA, while qRT-PCR and western blotting methods were used to analyze mRNA and protein expressions of p38 and NF-κB.

RESULTS

Compared with the normal group, the other four groups exhibited up-regulated IL-2, TNF-α serum levels as well as up regulated expressions of p38, NF-κB65 mRNA and protein; while the respective percentages of both CD4+ and CD8+ T cells exhibited down-regulated rates. The other four groups displayed increases in tumor weight and cell apoptosis, as well as decreased levels of cell proliferation and transformation rates. The aforementioned findings of the study ultimately highlighted a greater tendency among the three DEX groups in comparison to the model group.

CONCLUSION

The findings of the study suggest that a particular dosage of DEX may act to enhance the immune function of rats with OC by inhibiting the p38MAPK/NF-κB signaling pathway.

Galectin-1 promotes tumor progression via NF-κB signaling pathway in epithelial ovarian cancer

Purpose: We previously reported that Galectin-1 (Gal-1) played a role in epithelial ovarian cancer (EOC) progression. In this study, we aimed to further investigate the association between Gal-1 expression and prognosis in EOC patients and tried to reveal some novel potential mechanisms of Gal-1 in EOC invasion and migration.

Materials and Methods: Gal-1 and nucleus NF-κBp65 expression in 109 human epithelial ovarian cancer tissue specimens were evaluated by immunohistochemistry. The Cox model and survival curves were used to investigate the effect of Gal-1 on EOC prognosis. Correlation between Gal-1 expression and NF-κB activation in EOC patients was also analyzed. In vitro experiments were further performed to reveal the function and mechanisms of Gal-1 in invasion and migration of EOC cells.

Results: Expression level of Gal-1 in EOC tissue was an independent prognostic factor on overall survival (p<0.05) and progression-free survival (p<0.05). Patients with high Galectin-1 expression had shorter overall survival (OS, p<0.05)) and progression-free survival (PFS, p<0.05). Immunohistochemistry revealed that expression of Gal-1 was positively associated with activation of NF-κBp65 in EOC tissues (Kappa coefficient=0.458, p<0.001). Patients with tumors concomitantly co-over-expressing Gal-1 and NF-κBp65 had the worse OS (p<0.001) and PFS (p<0.001). The abilities of migration and invasion for EOC cells were significantly reduced after Gal-1 knocked-down in human EOC cell line HO8910, which was accompanied with the suppression of NF-κb pathway activation and with the matrix metalloproteinase-2 and matrix metalloproteinase-9 down-regulation.

Conclusions: Our results suggest that Gal-1 is associated with poor outcome in EOC and Galectin-1 promotes tumor progression via NF-κB pathway activation in EOC.

The Unique Molecular and Cellular Microenvironment of Ovarian Cancer

The reciprocal interplay of cancer cells and host cells is an indispensable prerequisite for tumor growth and progression. Cells of both the innate and adaptive immune system, in particular tumor-associated macrophages (TAMs) and T cells, as well as cancer-associated fibroblasts enter into a malicious liaison with tumor cells to create a tumor-promoting and immunosuppressive tumor microenvironment (TME). Ovarian cancer, the most lethal of all gynecological malignancies, is characterized by a unique TME that enables specific and efficient metastatic routes, impairs immune surveillance, and mediates therapy resistance. A characteristic feature of the ovarian cancer TME is the role of resident host cells, in particular activated mesothelial cells, which line the peritoneal cavity in huge numbers, as well as adipocytes of the omentum, the preferred site of metastatic lesions. Another crucial factor is the peritoneal fluid, which enables the transcoelomic spread of tumor cells to other pelvic and peritoneal organs, and occurs at more advanced stages as a malignancy-associated effusion. This ascites is rich in tumor-promoting soluble factors, extracellular vesicles and detached cancer cells as well as large numbers of T cells, TAMs, and other host cells, which cooperate with resident host cells to support tumor progression and immune evasion. In this review, we summarize and discuss our current knowledge of the cellular and molecular interactions that govern this interplay with a focus on signaling networks formed by cytokines, lipids, and extracellular vesicles; the pathophysiologial roles of TAMs and T cells; the mechanism of transcoelomic metastasis; and the cell type selective processing of signals from the TME.

Targeting cancer cell metabolism: The combination of metformin and 2-Deoxyglucose regulates apoptosis in ovarian cancer cells via p38 MAPK/JNK signaling pathway

Targeting cancer cell metabolism is a new promising strategy to fight cancer. Metformin, a first-line treatment for type 2 diabetes mellitus, exerts anti-cancer and anti-proliferative action. 2-deoxyglucose (2-DG), a glucose analog, works as a competitive inhibitor of glycolysis. In this study, we show for the first time that metformin in combination with 2-DG inhibited growth, migration, invasion and induced cell cycle arrest of ovarian cancer cells in vitro. Moreover, metformin and 2-DG could efficiently induce apoptosis in ovarian cancer cells, which was achieved by activating p38 MAPK and JNK pathways. Our study reinforces the growing interest of metabolic interference in cancer therapy and highlights the potential use of the combination of metformin and 2-DG as an anti-tumor treatment in ovarian cancer.

Anti-cancer and Sensibilisation Effect of Triptolide on Human Epithelial Ovarian Cancer

Introduction: Advanced ovarian cancer is the main cause of ovarian cancer deaths, and it is important to seek safe and effective phytochemicals to suppress cancer or lower the chemotherapy resistance of ovarian cancer. Methods: This study evaluated the effect of Triptolide (TPL) on the proliferation, cycle distribution, apoptosis, and ultra-structure of COC1/DDP cells in vitro, as well as the anti-cancer effect and sensibilisation effect of TPL in vivo. Results: The results indicated that TPL could significantly inhibit the growth of COC1/DDP cells (P<0.05), and 3 ng/ml TPL and 50 ng/ml TPL made COC1/DDP cells present obvious apoptosis characteristics and arrest 35% and 55% of COC/DDP cells in the G0/G1 phase, respectively (P<0.05). The animal experiments also indicated that 0.1mg/kg.d TPL significantly reduced the tumour weight and the spleen cell transformation rate (SI), and it lowered the inflammatory factors IL-2 and TNF-a in rat serum (P<0.05). Moreover, the significant reduction of p-Akt and p-GSK3β made the TPL+DDP possess the highest apoptosis rate [(51.13±3.325)%] in COC1/DDP cells. Conclusions: TPL used in combination with DDP may produce a synergistic anti-cancer effect that warrants further investigation for its potential clinical applications in the treatment of epithelial ovarian cancer.

Effects of probucol on cell proliferation in human ovarian cancer cells

Probucol is considered to be an important agent in promoting anti-oxidative action and protecting against tissue injury. However, little is known about the effects of probucol on the progression of ovarian carcinoma. The aim of this study was to investigate the effects of probucol on cellular proliferation in human ovarian cancer cells (PA-1 and SKOV-3) and explore the anti-proliferative mechanism of probucol in these cells. We found that probucol decreased cell growth in PA-1 and SKOV-3 cells in a dose-dependent manner. Treatment with probucol had no effect on cytotoxicity, the percentages of Annexin V-FITC positive cells and caspase-3 activity when compared with the vehicle group. No significant differences in the protein expression of Bcl-2 and cytochrome c were observed, both of which were markers of cells undergoing apoptosis. The inhibition of cellular proliferation by probucol was caused by G1-phase arrest through regulating proteins associated with cell cycle progression, such as cyclin D1, p21^Waf1/Cip1, and p27^Kip1. A further study revealed that probucol strongly impaired the phosphorylation of IκBα and the nuclear translocation of NF-κB (p65). It also suppressed the activation of ERK/JNK/p38 MAPK signaling. Moreover, the NF-κB inhibitor (PDTC), the ERK inhibitor (PD98059), the JNK inhibitor (SP600125), and the p38 MAPK inhibitor (SB203580) markedly attenuated the growth of these cells. Our results indicate that probucol induces anti-proliferative effects via blocking of cell cycle progression and inactivation of NF-κB and MAPK pathways in human ovarian cancer cells.

Elevated TAK1 augments tumor growth and metastatic capacities of ovarian cancer cells through activation of NF-κB signaling

Transforming growth factor (TGF)-β-activating kinase 1 (TAK1) is a serine/threonine kinase which is frequently associated with human cancer progression. However, its functional role in tumorigenesis is still controversial. Here, we report that TAK1 enhances the oncogenic capacity of ovarian cancer cells through the activation of NF-κB signaling. We found that TAK1 is frequently upregulated and significantly associated with high-grade and metastatic ovarian cancers. Mechanistic studies showed that Ser412 phosphorylation is required for TAK1 in activating NF-κB signaling and promotes aggressiveness of ovarian cancer cells. Conversely, suppression of TAK1 activity by point mutation at Ser412, RNAi mediated gene knockdown or TAK1 specific inhibitor ((5Z) -7-Oxozeaenol) remarkably impairs tumor growth and metastasis in ovarian cancer in vitro and in vivo. Our study underscores the importance of targeting TAK1 as a promising therapeutic approach to counteract the ovarian cancer progression.

Analysis of wntless (WLS) expression in gastric, ovarian, and breast cancers reveals a strong association with HER2 overexpression

The oncogenic role of WNT is well characterized. Wntless (WLS) (also known as GPR177, or Evi), a key modulator of WNT protein secretion, was recently found to be highly overexpressed in malignant astrocytomas. We hypothesized that this molecule may be aberrantly expressed in other cancers known to possess aberrant WNT signaling such as ovarian, gastric, and breast cancers. Immunohistochemical analysis using a TMA platform revealed WLS overexpression in a subset of ovarian, gastric, and breast tumors; this overexpression was associated with poorer clinical outcomes in gastric cancer (P=0.025). In addition, a strong correlation was observed between WLS expression and human epidermal growth factor receptor 2 (HER2) overexpression. Indeed, 100% of HER2-positive intestinal gastric carcinomas, 100% of HER2-positive serous ovarian carcinomas, and 64% of HER2-positive breast carcinomas coexpressed WLS protein. Although HER2 protein expression or gene amplification is an established predictive biomarker for trastuzumab response in breast and gastric cancers, a significant proportion of HER2-positive tumors display resistance to trastuzumab, which may be in part explainable by a possible mechanistic link between WLS and HER2.

Pre-diagnostic serum levels of inflammation markers and risk of ovarian cancer in the prostate, lung, colorectal and ovarian cancer (PLCO) screening trial

OBJECTIVE

Pro-inflammatory mechanisms may explain the increased ovarian cancer risk linked to more lifetime ovulations, endometriosis, and exposure to talc and asbestos, as well as decreased risk with non-steroidal anti-inflammatory drugs. Limited data are available to estimate ovarian cancer risk associated with levels of circulating inflammatory markers.

METHODS

We conducted a nested case-control study within the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Pre-diagnostic serum levels of 46 inflammation-related biomarkers (11 with a priori hypotheses; 35 agnostic) were measured in 149 incident ovarian cancer cases and 149 matched controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using conditional logistic regression and adjusted for identified covariates.

RESULTS

Increased ovarian cancer risk was associated with elevated levels of C-reactive protein (CRP) [tertile (T)3 vs. T1: OR (95% CI) 2.04 (1.06-3.93), p-trend=0.03], interleukin (IL)-1α [detectable vs. undetectable: 2.23 (1.14-4.34)] and tumor necrosis factor alpha (TNF-α) [T3 vs. T1: 2.21 (1.06-4.63), p-trend=0.04]. Elevated IL-8 was non-significantly associated with risk [T3 vs. T1: 1.86 (0.96-3.61), p-trend=0.05]. In analyses restricted to serous ovarian cancer (n=83), the associations with CRP and IL-8 remained or strengthened [CRP T3 vs. T1: 3.96 (1.14-11.14), p-trend=0.008; IL-8 T3 vs. T1: 3.05 (1.09-8.51), p-trend=0.03]. Elevated levels of CRP and TNF-α remained positively associated with ovarian cancer risk in analysis restricted to specimens collected at least 5years before diagnosis (n=56).

CONCLUSION

These results suggest that CRP, IL-1α, IL-8, and TNF-α are associated with increased risk of subsequently developing ovarian cancer.

Variation in NF-κB signaling pathways and survival in invasive epithelial ovarian cancer

Survival in epithelial ovarian cancer (EOC) is influenced by the host immune response, yet the key genetic determinants of inflammation and immunity that affect prognosis are not known. The nuclear factor-κB (NF-κB) transcription factor family plays an important role in many immune and inflammatory responses, including the response to cancer. We studied common inherited variation in 210 genes in the NF-κB family in 10,084 patients with invasive EOC (5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous) from the Ovarian Cancer Association Consortium. Associations between genotype and overall survival were assessed using Cox regression for all patients and by major histology, adjusting for known prognostic factors and correcting for multiple testing (threshold for statistical significance, P < 2.5 × 10(-5)). Results were statistically significant when assessed for patients of a single histology. Key associations were with caspase recruitment domain family, member 11 (CARD11) rs41324349 in patients with mucinous EOC [HR, 1.82; 95% confidence interval (CI), 1.41-2.35; P = 4.13 × 10(-6)] and tumor necrosis factor receptor superfamily, member 13B (TNFRSF13B) rs7501462 in patients with endometrioid EOC (HR, 0.68; 95% CI, 0.56-0.82; P = 2.33 × 10(-5)). Other associations of note included TNF receptor-associated factor 2 (TRAF2) rs17250239 in patients with high-grade serous EOC (HR, 0.84; 95% CI, 0.77-0.92; P = 6.49 × 10(-5)) and phospholipase C, gamma 1 (PLCG1) rs11696662 in patients with clear cell EOC (HR, 0.43; 95% CI, 0.26-0.73; P = 4.56 × 10(-4)). These associations highlight the potential importance of genes associated with host inflammation and immunity in modulating clinical outcomes in distinct EOC histologies.

Risk of ovarian cancer and the NF-κB pathway: genetic association with IL1A and TNFSF10

A missense single-nucleotide polymorphism (SNP) in the immune modulatory gene IL1A has been associated with ovarian cancer risk (rs17561). Although the exact mechanism through which this SNP alters risk of ovarian cancer is not clearly understood, rs17561 has also been associated with risk of endometriosis, an epidemiologic risk factor for ovarian cancer. Interleukin-1α (IL1A) is both regulated by and able to activate NF-κB, a transcription factor family that induces transcription of many proinflammatory genes and may be an important mediator in carcinogenesis. We therefore tagged SNPs in more than 200 genes in the NF-κB pathway for a total of 2,282 SNPs (including rs17561) for genotype analysis of 15,604 cases of ovarian cancer in patients of European descent, including 6,179 of high-grade serous (HGS), 2,100 endometrioid, 1,591 mucinous, 1,034 clear cell, and 1,016 low-grade serous, including 23,235 control cases spanning 40 studies in the Ovarian Cancer Association Consortium. In this large population, we confirmed the association between rs17561 and clear cell ovarian cancer [OR, 0.84; 95% confidence interval (CI), 0.76-0.93; P = 0.00075], which remained intact even after excluding participants in the prior study (OR, 0.85; 95% CI, 0.75-0.95; P = 0.006). Considering a multiple-testing-corrected significance threshold of P < 2.5 × 10(-5), only one other variant, the TNFSF10 SNP rs6785617, was associated significantly with a risk of ovarian cancer (low malignant potential tumors OR, 0.85; 95% CI, 0.79-0.91; P = 0.00002). Our results extend the evidence that borderline tumors may have a distinct genetic etiology. Further investigation of how these SNPs might modify ovarian cancer associations with other inflammation-related risk factors is warranted.

FGF18 as a prognostic and therapeutic biomarker in ovarian cancer

High-throughput genomic technologies have identified biomarkers and potential therapeutic targets for ovarian cancer. Comprehensive functional validation studies of the biological and clinical implications of these biomarkers are needed to advance them toward clinical use. Amplification of chromosomal region 5q31-5q35.3 has been used to predict poor prognosis in patients with advanced stage, high-grade serous ovarian cancer. In this study, we further dissected this large amplicon and identified the overexpression of FGF18 as an independent predictive marker for poor clinical outcome in this patient population. Using cell culture and xenograft models, we show that FGF18 signaling promoted tumor progression by modulating the ovarian tumor aggressiveness and microenvironment. FGF18 controlled migration, invasion, and tumorigenicity of ovarian cancer cells through NF-κB activation, which increased the production of oncogenic cytokines and chemokines. This resulted in a tumor microenvironment characterized by enhanced angiogenesis and augmented tumor-associated macrophage infiltration and M2 polarization. Tumors from ovarian cancer patients had increased FGF18 expression levels with microvessel density and M2 macrophage infiltration, confirming our in vitro results. These findings demonstrate that FGF18 is important for a subset of ovarian cancers and may serve as a therapeutic target.

Triptolide avoids cisplatin resistance and induces apoptosis via the reactive oxygen species/nuclear factor-κB pathway in SKOV3PT platinum-resistant human ovarian cancer cells

An acquired resistance to platinum-based drugs has emerged as a significant impediment to effective ovarian cancer therapy. The present study explored the anticancer mechanisms of triptolide (TPL) in SKOV3^PT platinum-resistant human ovarian cancer cells and observed that TPL activated caspase 3 and induced the dose-dependent apoptosis of the SKOV3^PT cells. Furthermore, TPL inhibited complex I of the mitochondrial respiratory chain (MRC) followed by an increase of reactive oxygen species (ROS), which further inhibited nuclear factor (NF)-κB activation and resulted in the downregulation of anti-apoptotic proteins, Bcl-2 and X-linked inhibitor of apoptosis protein (XIAP). Notably, the pre-treatment with N-acetyl-L-cysteine (NAC) abolished the TPL-induced ROS generation, NF-κB inhibition and cell apoptosis, but did not affect the inhibitory effect of TPL on complex I activity. These results suggested that TPL negatively regulated the NF-κB pathway through mitochondria-derived ROS accumulation, promoting the apoptosis of the SKOV3^PT cells. Furthermore, TPL synergistically enhanced the cytotoxicity of cisplatin against platinum-resistant ovarian cancer cells. Collectively, these findings suggest that TPL is able to overcome chemoresistance and that it may be an effective treatment for platinum-resistant ovarian cancer, either alone or as an adjuvant therapy.

Ovarian cancer: emerging molecular-targeted therapies

With about 22,000 new cases estimated in 2012 in the US and 15,500 related deaths, ovarian cancer is a heterogeneous and aggressive disease. Even though most of patients are sensitive to chemotherapy treatment following surgery, recurring disease is almost always lethal, and only about 30% of the women affected will be cured. Thanks to a better understanding of the molecular mechanisms underlying ovarian cancer malignancy, new therapeutic options with molecular-targeted agents have become available. This review discusses the rationale behind molecular-targeted therapies and examines how newly identified molecular targets may enhance personalized therapies for ovarian cancer patients.

Green tea for ovarian cancer prevention and treatment: a systematic review of the in vitro, in vivo and epidemiological studies

OBJECTIVE

This systematic review was conducted to examine the effects of green tea or green tea components on the prevention and progression of epithelial ovarian cancer.

METHODS

Using Medline, EMBASE and SciVerse (last researched: July 2011), we retrieved 22 articles including 5 epidemiological studies.

RESULTS

In epithelial ovarian cancer cell lines, green tea and green tea components have been shown to downregulate the expression of proteins involved in inflammation, cell signalization, cell motility and angiogenesis. Green tea and green tea components would induce apoptosis and could potentiate the effects of cisplatin, a chemotherapeutic agent. In human observational studies, significant associations between green tea intake and both decreased ovarian cancer occurrence and better prognosis were reported.

CONCLUSIONS

Available literature suggests potential molecular targets for green tea in ovarian cancer treatment and also provides data supporting the clinical evaluation of the role of green tea or green tea components in ovarian cancer prevention and treatment.

Molecular mechanisms linking endometriosis under oxidative stress with ovarian tumorigenesis and therapeutic modalities

Inflammation plays a role in the pathogenesis of endometriosis. Endometriosis-associated ovarian carcinogenesis might be promoted through oxidative stress-induced increased genomic instability, aberrant methylation, and aberrant chromatin remodeling, as well as mutations of tumor suppressor genes. Aberrant expression of ARID1A, PIK3CA, and NF-kB genes has been recognized as the major target genes involved in oxidative stress-induced carcinogenesis. HNF-1beta appears to play a key role in anti-oxidative defense mechanisms. We discuss the pathophysiologic roles of oxidative stress as somatic mutations as well as highly specific agents that effectively modulate these targets.

Optimizing molecular-targeted therapies in ovarian cancer: the renewed surge of interest in ovarian cancer biomarkers and cell signaling pathways

The hallmarks of ovarian cancer encompass the development of resistance, disease recurrence and poor prognosis. Ovarian cancer cells express gene signatures which pose significant challenges for cancer drug development, therapeutics, prevention and management. Despite enhancements in contemporary tumor debulking surgery, tentative combination regimens and abdominal radiation which can achieve beneficial response rates, the majority of ovarian cancer patients not only experience adverse effects, but also eventually relapse. Therefore, additional therapeutic possibilities need to be explored to minimize adverse events and prolong progression-free and overall response rates in ovarian cancer patients. Currently, a revival in cancer drug discovery is devoted to identifying diagnostic and prognostic ovarian cancer biomarkers. However, the sensitivity and reliability of such biomarkers may be complicated by mutations in the BRCA1 or BRCA2 genes, diverse genetic risk factors, unidentified initiation and progression elements, molecular tumor heterogeneity and disease staging. There is thus a dire need to expand existing ovarian cancer therapies with broad-spectrum and individualized molecular targeted approaches. The aim of this review is to profile recent developments in our understanding of the interrelationships among selected ovarian tumor biomarkers, heterogeneous expression signatures and related molecular signal transduction pathways, and their translation into more efficacious targeted treatment rationales.