VEGF gene polymorphisms and outcome of epithelial ovarian cancer patients

Targeted therapies in gynecological cancers: a comprehensive review of clinical evidence

Advanced and recurrent gynecological cancers are associated with poor prognosis and lack of effective treatment. The developments of the molecular mechanisms on cancer progression provide insight into novel targeted therapies, which are emerging as groundbreaking and promising cancer treatment strategies. In gynecologic malignancies, potential therapeutic targeted agents include antiangiogenic agents, poly (ADP-ribose) polymerase (PARP) inhibitors, tumor-intrinsic signaling pathway inhibitors, selective estrogen receptor downregulators, and immune checkpoint inhibitors. In this article, we provide a comprehensive review of the clinical evidence of targeted agents in gynecological cancers and discuss the future implication.

Correlation Between Doppler Ultrasound Blood Flow Parameters and Angiogenesis and Proliferation Activity in Breast Cancer

BACKGROUND The aim of this study was to assess the correlation between Doppler ultrasound blood flow parameters and angiogenesis and proliferation activity in breast cancer. MATERIAL AND METHODS We enrolled breast cancer patients (n=55) and benign tumor patients (n=40) from Tengzhou Central People's Hospital from Mar 2014 to Dec 2016. Doppler ultrasound examination was conducted to determine blood flow parameters, and immunohistochemistry (IHC) experiments were performed to determine the protein expression of angiogenesis genes, cell proliferation genes, and tumor-suppressor genes. RESULTS Compared with benign tumors, the maximum velocity (Vmax) and resistance index (RI) were significantly different in I-II stage and III-IV stage breast cancer (P<0.01 and P<0.001, respectively). IHC assay showed that VEDGF165, NRP-1, SphK1, CD31, YAP, CTGF, and Gli2 proteins expressions were significantly higher in breast cancer patients (P<0.01 and P<0.001, respectively). PTEN and MFN2 protein expressions of breast cancer patients were significantly lower (P<0.01 or P<0.001, respectively) compared with those of benign tumor patients. VEDGF165, NRP-1, SphK1, CD31, YAP, CTGF, and Gli2 proteins expressions were positively correlated with Vmax and negatively correlated with RI in breast cancer. PTEN and MFN2 protein expressions were negative correlated with Vmax and positively correlated with RI in breast cancer patients. CONCLUSIONS Decreased RI and increased Vmax are correlated with angiogenesis, proliferation, and tumor suppression in breast cancer.

MicroRNA-181 Functions as an Antioncogene and Mediates NF-κB Pathway by Targeting RTKN2 in Ovarian Cancers

MicroRNA (miR)-181 has been reported to participate in carcinogenesis and tumor progression in several malignant cancers, but its expression and biological functions in ovarian cancer have remained largely unclarified. Here, we first measured miR-181 expression in clinical ovarian cancers and found the expression levels of miR-181 were significantly lower in ovarian cancer tissues than that in adjacent tissues. Next, we screened and identified a direct miR-181 target, Rhotekin2 (RTKN2). A correlation between miR-181 and RTKN2 expression was also confirmed in clinical samples of ovarian cancers. Upregulation of miR-181 would specifically and markedly suppress RTKN2 expression. The miR-181-overexpressing subclones showed significant cell growth inhibition by cell apoptosis induction and significant impairment of cell invasiveness in SKOV3 and HO8910 ovarian cancer cells. To identify the mechanisms, we investigated the NF-κB pathway and found that nuclear factor-kappa B (NF-κB), B-cell lymphoma-2 (Bcl-2), and vascular endothelial growth factor (VEGF) were suppressed, whereas IκBα was promoted in miR-181-overexpressing cells. These findings indicate that miR-181 functions as a tumor suppressor and plays a substantial role in inhibiting the tumorigenesis and reversing the metastasis of ovarian cancer through RTKN2-NF-κB signaling pathway in vitro. Taken together, we believe that miR-181 may be a promising therapeutic target for treating malignant ovarian cancers.

Dioscin suppresses the viability of ovarian cancer cells by regulating the VEGFR2 and PI3K/AKT/MAPK signaling pathways

Diosgenin is a natural steroidal saponin that is extracted from a range of sources, including from fenugreek. It is a critical raw material in the synthesis of steroid hormone drugs, exhibiting antitumor, anti-inflammatory, antioxidation and a number of other significant pharmacological actions, possessing high pharmaceutical value. The aim of the present study was to investigate the effects of dioscin suppression on ovarian cancer cell growth and the mechanism of apoptosis induction by dioscin in ovarian cancer cells. The results of the present study demonstrated that dioscin decreased viability and induced apoptosis in SKOV3 human ovarian cancer cells in a dose-dependent manner. Dioscin significantly increased caspase-3 and caspase-9 activity, and increased the protein expression of Bax and cleaved poly(ADP-ribose) polymerase in SKOV3 cells. In addition, dioscin significantly suppressed vascular endothelial growth factor receptor (VEGFR)2, phosphoinositide 3-kinase (PI3K), phosphorylated AKT and phosphorylated p38 mitogen-activated protein kinase (MAPK) protein expression in SKOV3 cells. Taken together, to the best of our knowledge, the present study demonstrated for the first time that dioscin suppresses cell viability in ovarian cancer cells by regulating the VEGFR2 and PI3K/AKT/MAPK signaling pathways.

Genetic variants as ovarian cancer first-line treatment hallmarks: A systematic review and meta-analysis

BACKGROUND

The potential predictive value of genetic polymorphisms in ovarian cancer first-line treatment is inconsistently reported. We aimed to review ovarian cancer pharmacogenetic studies to update and summarize the available data and to provide directions for further research.

METHODS

A systematic review followed by a meta-analysis was conducted on cohort studies assessing the involvement of genetic polymorphisms in ovarian cancer first-line treatment response retrieved through a MEDLINE database search by November 2016. Studies were pooled and summary estimates and 95% confidence intervals (CI) were calculated using random or fixed-effects models as appropriate.

RESULTS

One hundred and forty-two studies gathering 106871 patients were included. Combined data suggested that GSTM1-null genotype patients have a lower risk of death compared to GSTM1-wt carriers, specifically in advanced stages (hazard ratio (HR), 0.68; 95% CI, 0.48-0.97) and when submitted to platinum-based chemotherapy (aHR, 0.61; 95% CI, 0.39-0.94). ERCC1 rs11615 and rs3212886 might have also a significant impact in treatment outcome (aHR, 0.67; 95% CI, 0.51-0.89; aHR, 1.28; 95% CI, 1.01-1.63, respectively). Moreover, ERCC2 rs13181 and rs1799793 showed a distinct ethnic behavior (Asians: aHR, 1.41; 95% CI, 0.80-2.49; aHR, 1.07; 95% CI, 0.62-1.86; Caucasians: aHR, 0.10; 95% CI, 0.01-0.96; aHR, 0.18; 95% CI, 0.05-0.68, respectively).

CONCLUSION(S)

The definition of integrative predictive models should encompass genetic information, especially regarding GSTM1 homozygous deletion. Justifying additional pharmacogenetic investigation are variants in ERCC1 and ERCC2, which highlight the DNA Repair ability to ovarian cancer prognosis. Further knowledge could aid to understand platinum-treatment failure and to tailor chemotherapy strategies.