Meeting Report From the 2016 11th Biennial Ovarian Cancer Research Symposium

Chien, Jeremy; Mehta, Geeta

doi:10.1097/igc.0000000000001117

Cited by 6 publications

(4 citation statements)

References 19 publications

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“…In fact, over 70% of ovarian cancers are not diagnosed until the disease has progressed to stage III or IV. The survival rates for ovarian cancer after ve years to be 47.4% (Chien and Poole, 2018). In 2018, Mallen and co-workers noted that many ovarian cancers originate in the fallopian tube.…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Cytotoxic potential of Simarouba glauca leaf extracts on PA1 Human Ovarian Cancer cell lines

Shettar

Hiremath

Kumbar³

2023

Preprint

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Simarouba species are well known medicinal plants used in traditional medicine as anti-inflammatory, anti-oxidant and anti-cancer remedies. It is also known for having anti-neoplastic, anti-viral, anti-diabetic, herbistatic and analgesic properties. However, information on traditional use in tumour treatment are limited. Simarouba glauca is one of the most popular species, which is a native tree of Central and South America, also found in countries like South Florida, Caribbean islands, Cuba, Mexico, Costa Rica, Bahamas, Jamaica, etc. It was introduced in India in 1960. Even though studies on the biological activities of this species are abundant, still there is lack of data on the cytotoxic activity of Simarouba glauca extracts on Ovarian cancer in the literature. In this study, we analysed the phytochemical composition and anti-oxidant activity of these extracts. Cytotoxic potential of these extracts was estimated on PA 1 Human Ovarian Cancer cell lines. The methanol fraction exhibited better potency as compared to acetone fraction. Both acetone and methanol extracts showed higher anti-oxidant capacities in contrast to other solvent extracts.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Cytotoxic potential of Simarouba glauca leaf extracts on PA1 Human Ovarian Cancer cell lines

Shettar

Hiremath

Kumbar³

2023

Preprint

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“…These results indicate that the combination is significantly more effective in inducing caspase-mediated cell death than a single agent. Given that both CB-5083 and mifepristone have been shown to induce the unfolded protein response [ 14 , 15 , 25 , 30 , 31 ], we checked two prominent unfolded protein response markers, namely glucose-regulated protein 78 (Grp78/HSPA5), C/EBP homologous protein (CHOP/DDIT3), and total K48 linked poly-ubiquitinated proteins. We observed a robust induction of both Grp78 and CHOP in cells treated with the combination or CB-5083 alone but not in cells treated with mifepristone alone ( Figure 3 A).…”

Section: Resultsmentioning

confidence: 99%

Multiple Components of Protein Homeostasis Pathway Can Be Targeted to Produce Drug Synergies with VCP Inhibitors in Ovarian Cancer

Bastola

Leiserowitz

Chien

2022

Cancers

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Protein quality control mechanisms play an important role in cancer progression by providing adaptive responses and morphologic stability against genome-wide copy number alterations, aneuploidy, and conformation-altering somatic mutations. This dependency on protein quality control mechanisms creates a vulnerability that may be exploited for therapeutic benefits by targeting components of the protein quality control mechanism. Recently, valosin-containing protein (VCP), also known at p97 AAA-ATPase, has emerged as a druggable target in cancer cells to affect their dependency on protein quality control. Here, we show that VCP inhibitors induce cytotoxicity in several ovarian cancer cell lines and these compounds act synergistically with mifepristone, a drug previously shown to induce an atypical unfolded protein response. Although mifepristone at a clinically achievable dose induces a weak unfolded protein response, it enhances the cytotoxic effects of VCP inhibitor CB-5083. Mechanistically, mifepristone blocks the cytoprotective effect of ATF6 in response to endoplasmic reticulum (ER) stress while activating the cytotoxic effects of ATF4 and CHOP through the HRI (EIF2AK1)-mediated signal transduction pathway. In contrast, CB-5083 activates ATF4 and CHOP through the PERK (EIF2AK3)-mediated signaling pathway. This combination activates ATF4 and CHOP while blocking the adaptive response provided by ATF6, resulting in increased cytotoxic effects and synergistic drug interaction.

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“…Ovarian cancer has the highest mortality rate among gynecological malignancies. More than 70% of patients with ovarian cancer are already in the advanced stage of the disease when the cancer is detected [10] , and there is still a lack of accurate early diagnosis and prevention methods [11] . Radiomics avoids the disadvantages of subjectivity, histopathology, and local sampling in conventional imaging tests.…”

Section: Discussionmentioning

confidence: 99%

Prediction of BRCA Gene Mutation Status in Epithelial Ovarian Cancer by Radiomics Models based on 2D and 3D CT Images

liu

li²,

wei³

2021

Preprint

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Background The objective of this study is to explore the value of two-dimensional (2D) and three-dimensional (3D) radiomics models based on enhanced computed tomography(CT) images in predicting BRCA gene mutations in patients with epithelial ovarian cancer. Methods A retrospective analysis of the clinical and imaging data of 122 patients with ovarian cancer confirmed by surgery and pathology and on which genetic testing was performed. Radiomics features were extracted from the 2D and 3D regions of interest of the patients’ primary tumor lesions, and features were selected in the training set using the maximum correlation and minimum redundancy method. Then, the best features were selected through Lasso 10-fold cross-validation. Feature subsets were used to establish a radiomics model. We used area under the receiver operating characteristic curve analysis to evaluate the model’s performance and then used the model’s decision curve to evaluate its clinical validity. Results On the validation set, the area under the curve values of the 2D, 3D, and 2D+3D combined models was 0.78 (0.61–0.96), 0.75 (0.55–0.92), and 0.82 (0.61–0.96), respectively. However, the DeLong test P values between the three pairs of models were all >0.05. The decision curve analysis showed that the radiomics model had a high net benefit across all high-risk threshold probabilities. Conclusions The three radiomics models can predict the BRCA gene mutation in ovarian cancer, and there were no statistically significant differences between the three models’ prediction performance.

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Meeting Report From the 2016 11th Biennial Ovarian Cancer Research Symposium

Cited by 6 publications

References 19 publications

WITHDRAWN: Cytotoxic potential of Simarouba glauca leaf extracts on PA1 Human Ovarian Cancer cell lines

WITHDRAWN: Cytotoxic potential of Simarouba glauca leaf extracts on PA1 Human Ovarian Cancer cell lines

Multiple Components of Protein Homeostasis Pathway Can Be Targeted to Produce Drug Synergies with VCP Inhibitors in Ovarian Cancer

Prediction of BRCA Gene Mutation Status in Epithelial Ovarian Cancer by Radiomics Models based on 2D and 3D CT Images

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