• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.9
• /
• pp.4483-4486
• /
• 2016

Background: Despite the fact that ovarian cancer is the seventh most common cancer in women worldwide and the fifth leading cause of cancer death, It is the most common cause of death due to reproductive cancers in Thailand where epithelial ovarian cancer (EOC) is commonly found. According to a Thai statistical analysis in 2010 by the Department of Medical Services, epithelial ovarian cancer was the sixth most common cancer in Thailand from 2001to 2003.The incidence of 5.1 per 100,000 women per year. Human epididymis protein 4 (HE4) is a novo diagnostic tumor marker for EOC. The combination of HE4 and carcinoma antigen 125 (CA 125) is a tool for detecting epithelial ovarian cancer (EOC) better than using CA 125 alone. Therefore, the researcher is interested in HE4 does have a role to predict recurrent epithelial ovarian cancer. Materials and Methods: The patients who had complete response after diagnosed with epithelial ovarian cancer by pathology, FIGO stage 3 or more had been treated through surgery and chemotherapy at the Sunpasitthiprasong Hospital from June 2014 until March 2016. The patients were followed up every three months, using tumor marker (CA 125, HE4,Carcinoma antigen 19-9) together with other checkup methods, such as rectovaginal examination, CXR every year and other imaging as indication. Afterwards, the data was analyzed for the ability of HE4 to detect recurrence of epithelial ovarian cancer. Results: In 47 patients in this study follow-up for 22 months after complete response treatment from surgery and chemotherapy in epithelial ovarian cancer, 23 had recurrent disease and HE4 titer rising. The patients with recurrent epithelial ovarian cancer demonstrated high levels of both HE4 and CA125 with sensitivity of 91.3% and 52.7% respectively, specificity of 87.5% and 95.6% and positive predictive values of 87.5% and 85.7%. HE4 can predict recurrent epithelial ovarian cancer (p-value=0.02242). Comparing HE4 and CA125 in predicting recurrent epithelial ovarian cancer HE4 had more potential than CA125 (p-value =0.8314). Conclusions: The present study showed HE4 to have a role in predicting recurrent epithelial ovarian cancer and HE4 is potentially better than CA125 as a marker for this purpose.

• Journal of Genetic Medicine
• /
• v.6 no.2
• /
• pp.179-182
• /
• 2009

Germline mutations in BRCA1 and BRCA2 confer high risks of breast and ovarian cancer. Among BRCA1- and BRCA2- mutation carriers, the average cumulative risks for ovarian cancer by age 70 years were 39% and 11%, respectively. There are other hereditary cancer syndromes such as Hereditary nonpolyposis colorectal cancer also confer a higher risk for developing ovarian cancer, but over 90% of all hereditary ovarian cancers are thought to be associated with BRCA1 or BRCA2 mutations. This report concerns a Korean woman diagnosed with ovarian cancer present with a family history of ovarian and various other cancers, in whom a germline BRCA1 mutation was identified and the same mutation was found in one of two daughters of her's. Since there could be more hereditary ovarian cancer patients in Korean than clinicians thought, both primary and secondary prevention of ovarian cancer based on family history and genetic information is important to reduce cancer incidence and mortality.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.16
• /
• pp.6973-6979
• /
• 2015

Background: Ovarian cancer is the third most common cause of cancer in Indian women. Despite an initial 70-80% response rate, most patients relapse within 1-2 years and develop chemoresistance. Hence, identification or repositioning of drugs to resensitise ovarian cancer cells to existing chemotherapy is needed. Traditionally immortalized cell lines have been used in research, but these may contain genetic aberrations and chromosomal abnormalities serving as poor indicators of normal cell phenotype and progression of early-stage disease. The use of primary cells, maintained for only short periods of time in vitro, may serve as the best representative for studying in vivo conditions of the tissues from which they are derived. In this study we have attempted to evaluate the effect of metformin (an antidiabetic drug) in primary ovarian cancer cells because of its promising effect in other solid tumours. Materials and Methods: Primary cultures of epithelial ovarian cancer cells established from ascitic fluid of untreated ovarian cancer patients were used. The cells were treated with metformin at doses standardized by MTT assay and its ability to induce apoptosis was studied. The cells were analysed for apoptosis and apoptosis related proteins by flow cytometry and western blotting respectively. Results: Metformin induced apoptosis in ovarian cancer cells, provoking cell cycle arrest in the G0/G1 and S phase. It induced apoptosis in ovarian cancer cells by, down-regulating Bcl-2 and up-regulating Bax expression. Conclusions: Metformin was able to induce apoptosis in primary ovarian cancer cells by modulating the expression of Bcl-2 family proteins. These data are relevant to ongoing translational research efforts exploring the chemotherapeutic potential of metformin.

• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.4
• /
• pp.1691-1699
• /
• 2016

Ovarian cancer is possibly the sixth most common malignancy worldwide, in Mexico representing the fourth leading cause of gynecological cancer death more than 70% being diagnosed at an advanced stage and the survival being very poor. Ovarian tumors are classified according to histological characteristics, epithelial ovarian cancer as the most common (~80%). We here used high-density microarrays and a systems biology approach to identify tissue-associated deregulated genes. Non-malignant ovarian tumors showed a gene expression profile associated with immune mediated inflammatory responses (28 genes), whereas malignant tumors had a gene expression profile related to cell cycle regulation (1,329 genes) and ovarian cell lines to cell cycling and metabolism (1,664 genes).

• Genomics & Informatics
• /
• v.16 no.4
• /
• pp.32.1-32.7
• /
• 2018

Ovarian cancer is one of the leading causes of cancer-related deaths in gynecological malignancies. Over 70% of ovarian cancer cases are high-grade serous ovarian cancers and have high death rates due to their resistance to chemotherapy. Despite advances in surgical and pharmaceutical therapies, overall survival rates are not good, and making an accurate prediction of the prognosis is not easy because of the highly heterogeneous nature of ovarian cancer. To improve the patient's prognosis through proper treatment, we present a prognostic prediction model by integrating high-dimensional RNA sequencing data with their clinical data through the following steps: gene filtration, pre-screening, gene marker selection, integrated study of selected gene markers and prediction model building. These steps of the prognostic prediction model can be applied to other types of cancer besides ovarian cancer.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.8
• /
• pp.3905-3909
• /
• 2012

Ovarian cancer is the fifth leading cause of cancer death in women aged 35 to 74 years. Although there are several popular hypothesis of ovarian cancer pathogenesis, the genetic mechanisms are far from being clear. Recently, systems biology approaches such as network-based methods have been successfully applied to elucidate the mechanisms of diseases. In this study, we constructed a crosstalk network among ovarian cancer related pathways by integrating protein-protein interactions and KEGG pathway information. Several significant pathways were identified to crosstalk with each other in ovarian cancer, such as the chemokine, Notch, Wnt and NOD-like receptor signaling pathways. Results from these studies will provide the groundwork for a combination therapy approach targeting multiple pathways which will likely be more effective than targeting one pathway alone.

• The Korean Journal of Physiology and Pharmacology
• /
• v.27 no.1
• /
• pp.21-29
• /
• 2023

The poor outcome of advanced ovarian cancer under conventional therapy necessitates new strategies to improve therapeutic efficacy. β-glucosidase (encoded by GBA) is a lysosomal enzyme and is involved in sphingolipids metabolism. Recent studies revealed that β-glucosidase plays a role in cancer development and chemoresistance. In this work, we systematically evaluated the expression and role of GBA in ovarian cancer. Our work demonstrates that inhibition of β-glucosidase has therapeutic potential for ovarian cancer. Gene Expression Profiling Interactive Analysis database, western blot and immunohistochemistry analyses of patient samples demonstrated that GBA mRNA and protein expression levels were significantly increased in ovarian cancer compared to normal tissues. Functional studies using gainof-function and loss-of-function approaches demonstrated that GBA overexpression did not affect growth and migration but alleviated cisplatin's efficacy in ovarian cancer cells. In addition, GBA depletion resulted in growth inhibition, apoptosis induction, and enhancement of cisplatin's efficacy. Of note, we found that GBA inhibition specifically decreased receptor tyrosine kinase AXL level, leading to the suppression of AXL-mediated signaling pathways. Our data suggest that GBA represents a promising target to inhibit AXL signaling and overcome cisplatin resistance in ovarian cancer.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.4
• /
• pp.1627-1632
• /
• 2014

Background: Several studies indicated that the diagnosis season affects the prognosis of some cancers, such as examples in the prostate, colon and breast. This retrospective study aimed to investigate whether the diagnosis and recurrent season impacts the prognosis of epithelial ovarian cancer patients. Methods: From January 2005 to August 2010, 161 epithelial ovarian cancer patients were analyzed and followed up until August 2013. Kaplan-Meier survival curves and the log-rank test were used to make the survival analysis. Multivariate analysis was conducted to identify independent prognostic factors. Results: The prognostic factors of overall survival in epithelial ovarian cancer patients included age, clinical stage, pathological type, histological grade, residual disease after primary surgery, recurrent season and adjuvant chemotherapy cycles. Moreover, clinical stage, histological grade, residual disease after primary surgery, recurrent season and adjuvant chemotherapy cycles also impacted the progression-free survival of epithelial ovarian cancer patients. The diagnosis season did not have a significantly relationship with the survival of operable epithelial ovarian cancer patients. Median overall survival of patients with recurrent month from April to November was 47 months, which was longer (P < 0.001) than that of patients with recurrence month from December to March (19 months). Median progression-free survival of patients with recurrence month from April to November and December to March was 20 and 8 months, respectively (P < 0.001). Conclusion: The recurrence season impacts the survival of epithelial ovarian cancer patients. However, the diagnosed season does not appear to exert a significant influence.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.10
• /
• pp.4157-4160
• /
• 2015

Treatment of early stage ovarian cancer remains controversial despite advances in chemotherapeutic options. Over the past 30 years, molecular and clinicopathologic studies accelerated and treatment of ovarian cancer has undoubtedly improved although there is a debate as to whether this impacts outcome or not. More recently, the introduction of targeted therapy started a new era. Probably it is because early stage disease comprises a small portion of the epithelial ovarian cancer, studies have mostly ignored this group and still there is no clear consensus regarding systemic treatment of early-stage lesions. However this group of patients has the best chance of cure. In this review, we focus on current developments in the treatment of early stage ovarian cancer and query the options.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.8
• /
• pp.3573-3577
• /
• 2015

Background: Sirtuin7 (SIRT7) is a type of nicotinamide adenine dinucleotide oxidized form (NAD+)-dependent deacetylase and the least understood member of the sirtuins family; it is implicated in various processes, such as aging, DNA damage repair and cell signaling transduction. There is some evidence that SIRT7 may function as a tumor trigger for human malignancy. Here, we aimed to explore the biological function of SIRT7 in ovarian carcinoma cells and its potential mechanism. Materials and Methods: Expression of SIRT7 in ovarian cancer cell lines was detected by western blotting. Transduced cell lines with SIRT7 knockdown or overexpression were constructed. Cell viability, cologenic, apoptosis-associated and motility assays were performed to elucidate the biological function of SIRT7 in ovarian cancer cells. Results: SIRT7 demonstrated a higher level in ovarian cancer cell lines compared with normal cells. On the one hand, down-regulation of SIRT7 significantly reduced ovarian cancer cell growth, repressed colony formation and increased cancer cell apoptosis; on the other hand, up-regulation promoted the migration of cancer cells. Additionally, repression of SIRT7 also induced change in apoptosis-related molecules and subunits of the NF-${\kappa}B$ family. Conclusions: In the present study, our data indicated that SIRT7 might play a role of oncogene in ovarian malignancy and be a potential therapeutic target.