Clinical Outcome In Ovarian Cancer Research Articles

Prediction of clinical outcomes in ovarian cancer using genomic variation

Prediction of clinical outcomes in ovarian cancer using genomic variation

S100A1 overexpression stimulates cell proliferation and is predictive of poor outcome in ovarian cancer.

Members of the S100 gene family are frequently dysregulated in various cancers, including ovarian cancer (OC). Despite this, the prognostic implications of individual S100 genes in OC remain poorly understood. This study aimed to explore the prognostic significance of S100A1 expression in OC and assess its potential as a therapeutic target. To investigate the role of S100A1 in OC, we utilized the Gene Expression Profiling Interactive Analysis (GEPIA) database and the University of ALabama at Birmingham Cancer Data Analysis Portal (UALCAN) database. Protein levels of S100A1 in OC tissues were assessed using western blotting and immunohistochemistry. Bioinformatics analyses were performed to correlate S100A1 expression with clinical outcomes. Functional assays were conducted to evaluate the impact of S100A1 knockout on OC cell proliferation and migration. Additionally, we investigated the effect of S100A1 on ferroptosis and lipid reactive oxygen species (ROS) levels in tumor cells. Our analyses revealed that S100A1 protein levels were significantly elevated in OC tissues compared to normal tissues. Elevated S100A1 expression was associated with poor clinical outcomes in OC patients. Functional assays demonstrated that the knockout of S100A1 led to a decrease in both proliferation and migration of OC cells in vitro. Furthermore, S100A1 was found to inhibit ferroptosis in OC cells, resulting in lower levels of lipid ROS within tumor cells. High levels of S100A1 are indicative of adverse clinical outcomes in OC. Our findings suggest that S100A1 could serve as a valuable prognostic marker and a potential therapeutic target for OC treatment.

FHOD3 shows clinical significance in progression of ovarian cancer through regulation of caspase-3 signaling pathway

Ovarian cancer is a malignant disease threatening women’s life. Traditional therapies bring little benefits for the patients with distant metastasis or recurrence. FHOD3 gene was reported to promote progression in cancer. However, the role of FHOD3 in ovarian cancer is not known yet. To investigate the role of FHOD3 gene in the progression of ovarian cancer and its molecular mechanism, FHOD3 gene was successfully knocked down in ovarian cancer cell lines. Then cell behaviors includes proliferation, migration, invasion, and apoptosis were detected. The data demonstrated that cell proliferation, migration, and invasion ability were suppressed after FHOD3 knockdown. Cell apoptosis was induced reversely. Moreover, caspase-3-mediated signaling pathway was activated after FHOD3 knockdown, and activity of caspase-3 further supported this finding. In addition, PARP inhibitor, Olaparib showed much more potent inhibition in ovarian cancer cells with FHOD3 knockdown. In clinical ovarian cancer tissues, FHOD3 gene showed increased expression compared to adjacent normal tissues. And FHOD3 gene expression level was negatively correlated to the patients’ survival. Overall, these findings shed light on the significance of FHOD3 gene in progression of ovarian cancer. This study showed that FHOD3 gene might be exploited as a new target to improve the clinical outcome of ovarian cancer.

Abstract 2628: Generation of multi-antigen specific T cells for ovarian cancer using Prussian Blue nanoparticles and photothermal therapy

Abstract The immunosuppressive nature of ovarian cancer (OC) allows these tumors to evade the immune system, contributing to late-stage diagnoses and poor clinical outcomes for patients. However, a higher number of tumor-infiltrating lymphocytes is associated with improved clinical outcomes in OC. One type of lymphocyte, the T cell, can traffic to the tumor and kill tumor cells. We have shown that treating tumor cells with Prussian Blue nanoparticles and photothermal therapy (PBNP-PTT) results in immunogenic cell death, a form of cell death that is visible to the immune system, including T cells. PBNP-PTT-treated tumor cells were then used to expand tumor-specific T cells from partially genetically matched healthy donors against breast and brain cancer cell lines. These expanded T cells were better able to recognize and kill the target tumor cell lines than bulk unexpanded T cells from the same donors. Hence, we hypothesized that using PBNP-PTT-treated OC cells would allow us to expand a polyclonal tumor-specific T cell product that is cytolytic against OC cells in vitro and in vivo.We first evaluated whether multi-antigen OC-specific T cells could be expanded from partially genetically matched healthy donors and confirmed that PBNP-PTT elicited immunogenic cell death in the HLA-A*02:01 human OC cell lines Hey and TykNu. Using our established in vitro T cell expansion protocol, we then successfully expanded T cells from multiple HLA-A*02:01 healthy donors (n=3) against these cell lines. Functional analyses—including interferon-gamma ELISPOT, multi-color flow cytometry, and cytotoxicity assays—demonstrated that the expanded T cells had enhanced anti-tumor responses against OC cell lines compared to bulk unexpanded T cells derived from the same donors. Current work is expanding this approach to a syngeneic murine setting in C57BL/6J mice. Moreover, we will evaluate HLA-matched T cells and tumor cells from patients with OC ex vivo. Collectively, these efforts serve as a novel approach towards a curative immunotherapy for OC. Citation Format: Erin E. Grundy, Abigail Lee, Samantha Chin, Melissa Hadley, Danielle Schmidt, Loretta Wang, Olivia Cox, Khadra Omar, Catherine M. Bollard, Rohan Fernandes, Katherine B. Chiappinelli. Generation of multi-antigen specific T cells for ovarian cancer using Prussian Blue nanoparticles and photothermal therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2628.

Abstract A096: Blockade of LAIR1-collagen interaction enhances the therapeutic activity of BiTE-secreting T cells in ovarian cancer

Abstract Introduction: The tumor microenvironment (TME), abundant with collagen produced by cancer associated fibroblasts (CAFs), plays a critical role in evading the immune system and limiting the efficacy of cell therapies. High levels of collagen and CAF expression correlate with malignant potential, decreased T cell accumulation, and overall unfavorable clinical outcomes in ovarian cancer (OC). Finding ways to address this immunosuppressive TME is therefore critical to improving therapeutic options. We recently reported on the therapeutic potential of adoptively transferred T cells engineered to secrete a folate receptor alpha (FRα)-targeted bispecific T cell engager (FR-B T cells) to target a tumor antigen commonly overexpressed in OC. Transcriptional profiling following ACT revealed that effector-like FR-B T cells (FR-BE T cells) upregulated genes associated with extracellular matrix interaction, suggesting interaction with the tumor stroma may limit antitumor immunity by FR-B T cells. Our goal was to improve the effectiveness of FR-B T cells by inhibiting LAIR-1, a widely present immune checkpoint receptor that sends T cell inhibitory signals after binding to collagen-like domains, leading to T cell exhaustion. We hypothesized that interrupting the LAIR1-collagen pathway using a LAIR1 decoy (NC410, supplied by NextCure Inc.) could amplify the FR-BE T cell effector function, thereby improving the response. Methods: We utilized in vitro co-culture assays to understand the phenotype and mechanistic changes occurring at the level of the T cell/tumor interface when exposed to collagen, as well as effects of LAIR 1 pathway blockade with the addition of NC410. In vivo murine models were used to determine disease progression and overall survival (OS) following treatment with bispecific T cell engager-armed T cells ± LAIR1 blockade. Results: Phenotypic analysis of FR-B T cells revealed elevated LAIR-1 expression on FR-BE T cells. FRα+ OC lysis by FR-BE T cells was diminished in the presence of collagen, suggesting LAIR-1 signaling can suppress tumor attack. In vitro, the addition of NC410 enhanced the activity of FR-BE T cells when exposed to collagen, improving both FRα+ target cell lysis and partially restoring the production of IFN-γ by FR-BE T cells. In vivo, the combination of NC410 with FR-BE T cells led to improved tumor control compared to FR-BE T cell therapy alone. Conclusions: Our results highlight understanding the interactions between infiltrating immune cells and the immunosuppressive TME to better design combination therapies that improve duration and magnitude of immune attack on tumors. By blocking T cell/stromal interactions, FR-B T cell therapy can be further enhanced, creating a promising opportunity to improve the impact of adoptive cell therapy in OC. Citation Format: Sarah Werner, Nicole Gaulin, Jessie Chiello, Theja Giridharan, Anm Nazmul Khan, Sora Suzuki, Suzanne Hess, Sol Langermann, Emese Zsiros, Brahm H. Segal, A.J. Robert McGray. Blockade of LAIR1-collagen interaction enhances the therapeutic activity of BiTE-secreting T cells in ovarian cancer [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr A096.

Pathologic response to neoadjuvant chemotherapy in ovarian cancer and its association with outcome: A surrogate marker of survival

ObjectiveWe aimed to validate whether pathologic response (pR) to neoadjuvant chemotherapy (NACT) using a three-tier chemotherapy response score (CRS) is associated with clinical outcome in ovarian cancer (OC) and could be used as surrogate marker for survival. MethodsWe conducted a retrospective study of OC patients with FIGO stage III/IV disease who received NACT and graded response as no or minimal (CRS 1), partial (CRS 2), or complete/near-complete (CRS 3) pR using tissue specimens obtained from omentum. Uni- and multivariate survival analyses were performed accounting for age, FIGO stage, debulking and BRCA status as well as neoadjuvant use of bevacizumab. ResultsCRSs 1, 2 and 3 were found in 41(31%), 62 (47%) and 30 (22%) of the 133 examined cases. Response to NACT was associated with significantly improved progression-free (PFS, p < 0.001) and overall survival (OS, p = 0.011). Complete/ near-complete pathologic response (CRS3) was associated with improved PFS (median 24.8 vs. 12.5 months, unadjusted HR 0.28 [95%CI 0.15–0.54], p < 0.001; adjusted hazard ration (aHR) 0.31 [95% CI 0.14–0.72], p = 0.007) and OS (median 63.3 vs. 32.1 months, unadjusted HR 0.27 [95%CI 0.10–0.68], p = 0.006; aHR 0.32 [95% CI 0.09–1.11], p = 0.072) when compared to no or minimal response (CRS1). ConclusionsWe validate a three-tier CRS for assessment of pathologic response to NACT in OC and demonstrate its prognostic independence of BRCA status or neoadjuvant bevacizumab use. Improving pR rates may be a useful goal of NACT in OC with the expectation of improved survival. The CRS may be a useful endpoint in clinical trials in OC.

Abstract 5556: Lemur tyrosine kinase 3 serves as a predictor of patient outcome and a target for the treatment of ovarian cancer

Abstract The objective of these in vitro and in vivo studies was to validate Lemur Tyrosine Kinase 3 (LMTK3) as a specific target and predictor of clinical outcome in ovarian cancer. LMTK3 belongs to a family of regulated tyrosine kinases with three structurally related isoforms, LMTK1, LMTK2, and LMTK3. Both nuclear and cytoplasmic LMTK3 expressions correlated with tumor grade and patient survival in cancers such as breast and colorectal cancer. We tested the clinical significance of the LMTK3 gene by immunohistochemistry (IHC) using LMTK3 monoclonal antibody on formalin-fixed paraffin-embedded sections (FFPE) collected from 204 early-stage (stage I-II) ovarian cancer patients. Results from this IHC LMTK3 study revealed a higher cytoplasmic to nuclear localization of LMTK3 correlated with worse overall survival (P&amp;lt;0.01). Further investigation of LMTK3’s prognostic value by screening LMTK3 signaling in 270 stage III-IV ovarian cancer patients is ongoing. We utilized the MTT ((3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay for testing the killing efficacy of targeting LMTK3 by a monoclonal antibody, siRNA, and specific LMTK3 binding peptides (LMTK3BP) in ovarian cancer cell lines SKOV3, MDAH-2774, A2780, and TOV-21G. Treatment with LMTK3 specific monoclonal antibody, siRNA, and LMTK3BP significantly induced killing of both chemosensitive and chemoresistant ovarian cancer cells without affecting normal cells in vitro. Moreover, we observed this killing as synergistic with both Cisplatin and Taxotere treatment in vitro. Lastly, we used an A2780 cell line derived orthotopic xenograft mouse model of ovarian cancer to test the efficacy of specific LMTK3BP in vivo. Strikingly, LMTK3BP 20 mg/kg IV dose given three times a week for three weeks showed a 35% tumor reduction. Furthermore, in vivo safety studies showed no signs of toxicity of the LMTK3BP, even at a very high dose of 40 mg/kg. Thus, with dose optimization in ongoing experiments, we could expect a higher efficacy. In conclusion, this study highlighted the importance of LMTK3 as a predictor of patient clinical outcome and potential target for treatment in ovarian cancer. Citation Format: Thea K. Kirsch-Mangu, Axel S. Tullberg, Anna Portela, Khalil Helou, Ghassan M. Saed. Lemur tyrosine kinase 3 serves as a predictor of patient outcome and a target for the treatment of ovarian cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5556.

VSTM2L contributes to anoikis resistance and acts as a novel biomarker for metastasis and clinical outcome in ovarian cancer

The majority of patients are diagnosed when ovarian cancer (OC) has metastasized, making surgery and chemotherapy less effective. Thus, there is an urgent need to elucidate the mechanisms underlying metastasis and to further explore novel diagnostic biomarkers of OC metastasis. Here, we conducted a genome-wide CRISPR-Cas9 screen for anoikis resistance to identify key genes associated with OC metastasis. Further, bioinformatic analysis was performed using TCGA and GTEx datasets to explore the genes associated with OC progression and prognosis. After integrated analysis, the V-set and transmembrane domain-containing protein 2-like (VSTM2L) was identified as a crucial gene closely associated with OC metastasis, progression, and prognosis. Further validation using a patient-based cohort suggested that VSTM2L expression was significantly higher in metastatic lesions than in primary lesions. Subsequently, an in vitro assay showed that VSTM2L silencing increased SKOV3 cell death and hampered spheroid formation. Mechanistically, GSEA highlighted that epithelial-mesenchymal transition (EMT)-related pathways was positively associated with VSTM2L expression. Consistently, the validation based on the VSTM2L silence suggested the involvement of VSTM2L in EMT-related TGF-β and NF-κB signaling. Meanwhile, the addition of VSTM2L-containing medium did not provoke those signaling, indicating VSTM2L functions as an intracellular protein to activate TGF-β and NF-κB signaling. In summary, our study revealed that VSTM2L is a novel player involved in anoikis resistance and is a promising biomarker of OC metastasis and prognosis.

Effects of Leea indica leaf extracts and its phytoconstituents on natural killer cell-mediated cytotoxicity in human ovarian cancer

BackgroundThe rich biodiversity of medicinal plants and their importance as sources of novel therapeutics and lead compounds warrant further research. Despite advances in debulking surgery and chemotherapy, the risks of recurrence of ovarian cancer and resistance to therapy are significant and the clinical outcomes of ovarian cancer remain poor or even incurable. ObjectiveThis study aims to investigate the effects of leaf extracts from a medicinal plant Leea indica and its selected phytoconstituents on human ovarian cancer cells and in combination with oxaliplatin and natural killer (NK) cells.MethodsFresh, healthy leaves of L. indica were harvested and extracted in 70% methanol by maceration. The crude extract was partitioned with n-hexane, dichloromethane and ethyl acetate. Selected extracts and compounds were analyzed for their effects on cell viability of human ovarian cancer cells, NK cell cytotoxicity, and stress ligands expression for NK cell receptors. They were also evaluated for their effects on TNF-α and IL-1β production by enzyme-linked immunosorbent assay in lipopolysaccharide-stimulated human U937 macrophages.ResultsLeaf extracts of L. indica increased the susceptibility of human ovarian tumor cells to NK cell-mediated cytotoxicity. Treatment of cancer cells with methyl gallate but not gallic acid upregulated the expression of stress ligands. Tumor cells pretreated with combination of methyl gallate and low concentration of oxaliplatin displayed increased levels of stress ligands expression and concomitantly enhanced susceptibility to NK cell-mediated cytolysis. Further, NK cells completely abrogated the growth of methyl gallate-pretreated ovarian cancer cells. The leaf extracts suppressed TNF-α and IL-1β production in human U937 macrophages. Methyl gallate was more potent than gallic acid in down-regulating these cytokine levels.ConclusionsWe demonstrated for the first time that leaf extracts of L. indica and its phytoconstituent methyl gallate enhanced the susceptibility of ovarian tumor cells to NK cell cytolysis. These results suggest that the combined effect of methyl gallate, oxaliplatin and NK cells in ovarian cancer cells warrants further investigation, for example for refractory ovarian cancer. Our work is a step towards better scientific understanding of the traditional anticancer use of L. indica.

The Prognostic Value of Cancer Stem Cell Markers (CSCs) Expression-ALDH1A1, CD133, CD44-For Survival and Long-Term Follow-Up of Ovarian Cancer Patients.

Recurrent disease and treatment-associated chemoresistance are the two main factors accounting for poor clinical outcomes of ovarian cancer (OC) patients. Both can be associated with cancer stem cells (CSCs), which contribute to cancer formation, progression, chemoresistance, and recurrence. Hence, this study investigated whether the expression of known CSC-associated markers ALDH1A, CD44, and CD133 may predict OC patient prognosis. We analyzed their expression in primary epithelial ovarian cancer (EOC) patients using immunohistochemistry and related them to clinicopathological data, including overall survival (OS) and progression-free survival (PFS). Expression of ALDH1A1 was detected in 32%, CD133 in 28%, and CD44 in 33% of cases. While Kaplan-Meier analysis revealed no association of the expression of CD133 and CD44 with PFS and OS, ALDH1A1-positive patients were characterized with both significantly shorter OS (p = 0.00022) and PFS (p = 0.027). Multivariate analysis demonstrated that the expression of ALDH1A1, FIGO stage III-IV, and residual disease after suboptimal debulking or neoadjuvant chemotherapy correlated with shorter OS. The results of this study identify ALDH1A1 as a potential independent prognostic factor of shorter OS and PFS in EOC patients. Therefore, targeting ALDH1A1-positive cancer cells may be a promising therapeutic strategy to influence the disease course and treatment response.

Statin use improves the prognosis of ovarian cancer: An updated and comprehensive meta-analysis.

Statins are lipid-lowering agents that have also been found to have anticancer effects. The relationship between statin use and clinical outcomes in ovarian cancer (OC) remains controversial, as previous assessments of the relationship between statin use and OC prognosis have yielded inconsistent results. Therefore, a comprehensive meta-analysis was performed in the present study to investigate this association. Studies were systematically retrieved by searching the PubMed, Embase and Cochrane Library databases, and consulting reference lists of the related studies. The search timeframe was from database creation to September 1, 2022. Pooled hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were calculated to assess the association. In the present meta-analysis, 16 studies with 37,660 patients with OC were included, of which 11,296 patients had been prescribed statins. The results showed that statin use markedly improved the overall survival time (OS; HR, 0.79; 95% CI, 0.73-0.85; P<0.00001) and OC-specific survival time (HR, 0.84; 95% CI, 0.80-0.89; P<0.00001), especially the OS time in patients with serous OC (HR, 0.81; 95% CI, 0.74-0.89; P<0.0001) and endometrioid OC (HR, 0.80; 95% CI, 0.66-0.98; P=0.03). In addition, survival rate was higher in patients who used statins after OC diagnosis (HR, 0.79; 95% CI, 0.73-0.85; P<0.00001). However, there was no statistically significant association between statin use and the prognosis of mucinous and clear cell OC. The results suggested that statin use markedly improved the OS in patients with OC, including in those with serous and endometrioid OC. Statins were also found to improve the prognosis of patients of both Asian and non-Asian ethnicities. In addition, both lipophilic and hydrophilic statins improved the survival in patients with OC, especially in patients using statins after OC diagnosis. However, the effect may vary depending on the statin type, duration of use and cancer type, and more well-designed studies are needed to further evaluate this.

A bioinformatics analysis: ZFHX4 is associated with metastasis and poor survival in ovarian cancer

BackgroundMetastasis was the major cause of the high mortality in ovarian cancer. Although some mechanisms of metastasis in ovarian cancer were proposed, few have been targeted in the clinical practice. In the study, we aimed to identify novel genes contributing to metastasis and poor clinical outcome in ovarian cancer from bioinformatics databases.MethodsStudies collecting matched primary tumors and metastases from ovarian cancer patients were searched in the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were screened by software R language. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis for the DEGs were implemented by Metascape. Venn diagram was plotted to present overlapping DEGs. The associations between the overlapping DEGs and prognosis were tested by Cox proportional hazard regression model using a cohort of ovarian cancer patients from the TCGA database. Genes affecting patients’ outcomes significantly were served as hub genes. The mechanisms of the hub genes in promoting ovarian cancer metastasis were then predicted by R software.ResultsTwo gene expression profiles (GSE30587 and GSE73168) met the inclusion criteria and were finally analyzed. A total of 259 genes were significantly differentially expressed in GSE30587, whereas 712 genes were in GSE73168. In GSE30587, DEGs were mainly involved in extracellular matrix (ECM) organization; For GSE73168, most of DEGs showed ion trans-membrane transport activity. There were 9 overlapping genes between the two datasets (RUNX2, FABP4, CLDN20, SVEP1, FAM169A, PGM5, ZFHX4, DCN and TAS2R50). ZFHX4 was proved to be an independent adverse prognostic factor for ovarian cancer patients (HR = 1.44, 95%CI: 1.13–1.83, p = 0.003). Mechanistically, ZFHX4 was positively significantly correlated with epithelial-mesenchymal transition (EMT) markers (r = 0.54, p = 2.59 × 10−29) and ECM-related genes (r = 0.52, p = 2.86 × 10−27).ConclusionsZFHX4 might promote metastasis in ovarian cancer by regulating EMT and reprogramming ECM. For clinical applications, ZFHX4 was expected to be a prognostic biomarker for ovarian cancer metastasis.

PD-L1 and the Clinical Outcomes of Ovarian Cancer: Meta-Analysis and Bioinformatical Analysis.

A meta-analysis was performed to analyze the association between PD-L1 expression and overall survival (OS) in various tumors and to identify potential targets through biological information analysis. the data were collected from PubMed and Cochrane library, the all analysis of our study were conducted by STATA software and online website. Ten articles (including 11 studies) that met all inclusion criteria were obtained. The combined HR showed that high PD-L1 expression was significantly associated with poor overall survival (HR = 1.84, 95% CI: 1.15-2.93). Pathway analysis revealed that the upregulated genes were primarily involed in biological processes, including nucleic acid transcription, biosynthesis and negative regulation of cell metabolism. The downregulated genes were primarily involed in the regulation of cell cycle, including chromosome separation and DNA metabolism. The top ten genes that were identified were hub genes (CDK1, CCNB1, CCNA2, KIF11, CDC20, UBE2C, NCAPG, AURKA, AURKB, CHEK1), which had significant function in cell differentiation and virus infection. The Kaplan-Meier survival curve indicated that CCNB1, KIF11, UBE2C, NCAPG, AURKA and CHEK1 were statistically significant (P<0.05). PD-L1 was found to be a latent biomarker for predicting the prognostic value of cancer and also a therapeutic target.

Assessing frequency and clinical outcomes of BRCA mutated ovarian cancer in Saudi women

PurposeBRCA gene mutations (BRCAm) have an impact on patients’ characteristics and clinical outcomes of ovarian cancer (OC). The frequency and patterns of BRCAm vary among countries and ethnicities. There are limited data from Saudi Arabia (SA); thus, this study aims to determine the frequency, pattern, and impact on patient characteristics and outcomes of BRCAm OC compared to wild-type BRCA (BRCAw) in Saudi women.MethodsThis retrospective study evaluated women diagnosed with non-mucinous OC, fallopian tube, or peritoneal carcinoma who had BRCA status tested in an accredited lab between January 2016 and December 2017. The associations between various parameters and BRCAm were estimated using logistic regression. Statistical analysis performed with SPSS (Version 27).ResultSixty-one women with a median age of 52 at diagnosis were analyzed. Germline BRCA mutations were found in 41% of cases (25/61). The most common deleterious germline BRCA1 mutation was c.1140dupG (39%). Most women (72%) had no family history of cancers and 82% had advanced stage. Regardless of BRCA mutations, an optimal overall response rate (ORR) to first-line treatment has been achieved although most cases relapsed (84%) and the majority were platinum-sensitive relapse (85%). Higher ORR to subsequent lines and better survival were obtained in women with BRCA-mutation.ConclusionThe prevalence of BRCAm of OC was higher in Saudi women compared to regional and most of the international figures. The better clinical outcomes of BRCAm women agreed with the reported evidence. Further studies on BRCA mutations of OC and genetic counseling are highly recommended.Trial registrationTrial approved by the Institutional Review Board of King Faisal Specialist Hospital and Research Center (RAC # 2171137) and conducted at King Faisal Specialist Hospital and Research Center, PO Box 3354, Riyadh 11,211, Saudi Arabia.

Correlation Between Clinical Outcomes and Serum CA-125 Levels After Standard Treatment for Epithelial Ovarian Cancer.

To analyze the relationship between clinical outcomes for epithelial ovarian cancer and serum CA-125 levels after chemotherapy in Korean women. This study included 183 patients who underwent the standard treatment regimen for epithelial ovarian cancer. They were divided into early- (I, II) and advanced-stage (III, IV) groups. Serum CA-125 level after adjuvant chemotherapy completion (post-chemotherapy; PC-CA-125) was measured. Overall survival (OS), progression-free survival (PFS), platinum-free interval (PFI), and platinum resistance were evaluated. In advanced-stage group, OS, PFS, PFI, and platinum resistance were significantly correlated with PC-CA-125. In early-stage group, PFS and platinum resistance differed significantly. Cutoff value for platinum resistance was 10.45 U/ml, 10.40 U/ml, and 15.80 U/ml for study population, early stage, and advanced groups, respectively. Accuracy was 71.1%-77.1%. PC-CA-125 is correlated with clinical outcomes in ovarian cancer. Thus, CA-125 can be used to predict platinum resistance in ovarian cancer treatment.

Identification of CXCL10-Relevant Tumor Microenvironment Characterization and Clinical Outcome in Ovarian Cancer.

BackgroundChemokines are implicated in tumor microenvironment (TME) cell infiltration. Development of ovarian cancer involves heterologous cells together with the adjacent microenvironment. Nonetheless, our understanding of the chemokine-related TME characteristics in ovarian cancer remains obscure.MethodsIn this large-scale multi-platform study of 10 microarray datasets consisting of 1,673 ovarian cancer patients, we comprehensively evaluated CXCL10 and CXCL9 expression risk classifications for predicting overall survival (OS) and TME immune characteristics. The cross-validation between a standard cohort (TCGA: The Cancer Genome Atlas) and three test cohorts (GEO: Gene-Expression Omnibus) was applied. We investigated differences in the biological functions and the underlying mechanisms between high- and low-risk classifications.ResultsWe identified that evaluation of CXCL10 expression could predict the tumor development, immune cell infiltration, TME signature, genetic alteration, and patient prognosis in ovarian cancer. Low-risk classification was characterized by high CXCL10 expression and prolonged prognosis, which was positively associated with specific immune cell infiltration (i.e., T cells, DCs, aDC, and Th2 cells) and TME immune-relevant signatures. Meanwhile, the high-risk classification was defined by lower CXCL10/CXCL9 expression and relevant poor prognosis and immune infiltrations. The CXCL10-based low-risk classification was also linked to antitumor biological function of specific immune gene sets, such as IL2-STAT5 signaling. Additionally, a mutational pattern featured by enrichment of C > T transition was further identified to be associated with immune cell infiltration.ConclusionsThis work proposed a promising biomarker for evaluating TME immune characteristics and clinical outcomes in patients with ovarian cancer. Estimation of CXCL10 risk pattern sheds a novel insight on ovarian cancer TME immune characteristics and provides strategies for ovarian cancer immunotherapy.

Zinc transporter SLC39A13/ZIP13 facilitates the metastasis of human ovarian cancer cells via activating Src/FAK signaling pathway

BackgroundZinc transporters have been found to be associated with the pathogenesis of numerous human diseases including cancer. As the most lethal gynecologic malignancy, ovarian cancer is characterized by rapid progression and widespread metastases. However, the function and underlying mechanism of zinc transporters in ovarian cancer metastasis remain unclear.MethodsThe relationship between zinc transporter gene expressions and clinical outcomes of ovarian cancer was assessed with the online database Kaplan-Meier plotter (http://kmplot.com/analysis/). Immunohistochemistry was performed to investigate the prognostic importance of ZIP13. The expression of ZIP13 in ovarian cancer cell lines was depleted to explore its effect on proliferation, adhesion, migration, and invasion both in vitro and in vivo assays. RNA-Seq, quantitative RT-PCR, and western blot analysis were performed to explore ZIP13-regulated downstream target genes.ResultsThe expressions of several zinc transporters were highly associated the clinical outcomes of ovarian cancer patients. Among them, high ZIP13 expression was an independent prognostic factor for poor survival in patients with ovarian cancer. ZIP13 knockout suppressed the malignant phenotypes of ovarian cancer cells both in vitro and in vivo. Further investigation revealed that ZIP13 regulated intracellular zinc distribution and then affected the expressions of genes involved in extracellular matrix organization and cytokine-mediated signaling pathway. This led to the activation of Src/FAK pathway with increased expressions of pro-metastatic genes but decreased expressions of tumor suppressor genes.ConclusionsZIP13 is shown to be a novel driver of metastatic progression by modulating the Src/FAK signaling pathway, which may serve as a promising biomarker for prognostic evaluation and targeted therapy in ovarian cancer.

Chemotherapy response score: Validation of a three-tier system to quantify histopathologic response to neoadjuvant chemotherapy in ovarian carcinoma.

e17539 Background: Neoadjuvant chemotherapy (NACT) with interval debulking surgery is considered for patients with advanced-stage ovarian carcinoma (OC) who are not ideal candidates for primary debulking surgery due to advanced age, frailty, poor performance status, comorbidities, or who have disease unlikely to be optimally resected. Moreover, response to NACT may be a suitable surrogate end point for long-term clinical outcome in ovarian cancer. The aim of the present study is to evaluate the utility of a three-tier Chemotherapy Response Score (CRS) and validate whether residual disease or evidence of regression following NACT may provide prognostic information in ovarian cancer. Methods: We conducted a retrospective single-institution study of patients who received NACT with carboplatin and paclitaxel for FIGO stage III/IV ovarian cancer. Response to NACT was graded as no or minimal tumor response (CRS1); appreciable tumor response amid readily identifiable viable tumor (CRS2); or complete/near-complete response with no residual tumor or minimal scattered tumor foci (CRS3) as described previously (Böhm S, et al. J Clin Oncol 33:2457-2463). Multivariate progression free survival (PFS) and overall survival (OS) analyses were performed accounting for age, FIGO stage and BRCA status. Results: Of the 86 patients accrued to date, median age was 65 years, 62% had stage IV disease and 16% had a somatic/germline BRCA mutation. CRS scores 1, 2 and 3 were found in 26 (30%), 43 (50%) and 17 (20%) of cases, respectively, and were associated with PFS (log rank p = 0.002). A high CRS score predicted improved PFS and OS (CRS 2/3 vs 1; median PFS 17.3 vs. 11.8 mo, adjusted hazard ratio (HR), 0.33; 95%CI 0.17-0.62; p &lt; 0.001; median OS 47.9 vs. 38.3 mo, adjusted HR 0.36, 95%CI 0.15-0.88, p = 0.026). Similarly, when comparing CRS 3 with 1/2, the high score predicted improved outcome for PFS but not OS (median PFS 17.3 vs. 14.7 mo, adjusted HR, 0.42; 95%CI 0.19-0.95; p = 0.037; median OS 48.6 vs. 46.5 mo, adjusted HR 0.43, 95%CI 0.14-1.35, p = 0.149). Conclusions: In this study, we validate a simple three-tier chemotherapy response scoring system for assessing histopathologic response of OC to NACT. Residual disease and evidence of complete/near complete regression following NACT provides prognostic information in OC. CRS may serve as a potential surrogate marker for long-term outcome and be a useful alternative intermediate end point in future clinical trials.

Elevated expression of Tweety homologue 3 predicts poor clinical outcomes in ovarian cancer.

Objective: To define the alteration of tweety homolog (TTYH) expression in patients with ovarian carcinoma (OC) and its correlation to prognosis.Methods: Kaplan-Meier (KM) plotter was used to evaluate the association between TTYHs expression and clinical outcomes of OC patients. The distribution of 20-year overall survival (OS) and progression-free survival (PFS) was estimated using KM survival plots. The mRNA expression of TTYHs in OC and normal ovarian tissues was confirmed by the Oncomine database. Then, using immunohistochemistry assay, the expression of TTYH1 and TTYH3 proteins in serous OC and normal ovarian tissues was detected. In addition, the protein and mRNA levels of TTYH1 and TTYH3 in human OC cell lines ES-2, A2780 and SKOV3 and normal ovarian epithelial cell lines IOSE80 were assessed by western blotting and real-time quantitative polymerase chain reaction (qRT-PCR).Results: TTYH1 possessed meaningful significance in predicting better prognosis in the serous, advanced stage, and well-differentiated OC patients, while TTYH3 expression predicted worse prognosis in serous, late-stage, and poorly differentiated OC patients. High expression of TTYH1 displayed an association with favorable PFS in OC patients with TP53 mutation. However, enhanced TTYH3 was related to an adverse clinical outcome in TP53-mutated OC patients. In addition, TTYH1 was related to a better clinical outcome in OC patients with platinums-based chemotherapy, but only indicated improved overall survival in OC patients who received taxol or platin + taxol chemotherapy. The up-regulated expression of TTYH3 predicted worse survival in OC patients receiving platin, taxol, or platin + taxol chemotherapy regimen. The levels of TTYH3 mRNA and protein were higher in OC cells and tissues when compared to normal ovarian cells and tissues.Conclusions: TTYH3 was a potential predictor for poor clinical outcome in OC patients, particularly in patients with serous, late-stage, poorly differentiated, TP53-mutation or the patients treated with chemotherapy regimens (platin, taxol, or platin + taxol).

The clinical outcomes of ovarian cancer in patients with brain metastasis

The clinical outcomes of ovarian cancer in patients with brain metastasis