Pathogenesis Of Ovarian Cancer Research Articles

Evaluation of effects of bisphenol analogs AF, S, and F on viability, proliferation, production of selected cancer-related factors, and expression of selected transcripts in Caov-3 human ovarian epithelial cell line

Bisphenol A (BPA) has been a substantial additive in plastics until the reports on its adverse effects have led to its restrictions and replacement. Monitoring studies document the increasing occurrence of bisphenol analogs, however, data on their effects and risks is still insufficient. Based on the indications that BPA might contribute to ovarian cancer pathogenesis, we examined effects of the analogs AF (BPAF), S (BPS) and F (BPF) (10−9–10−4 M) on the Caov-3 epithelial cancer cells, including the impact on cell viability, proliferation, oxidative stress, and production and expression of several factors and genes related to ovarian cancer. At environmentally relevant doses, bisphenols did not exert significant effects. At the highest concentration, BPAF caused varied alterations, including decreased cell viability and proliferation, caspase activation, down-regulation of PCNA and BIRC5, elevation of IL8, VEGFA, MYC, PTGS2 and ABCB1 expressions. Only BPA (10−4 M) increased IL-6, IL-8 and VEGFA output by the Caov-3 cells. Each bisphenol induced generation of reactive oxygen species and decreased superoxide dismutase activity at the highest concentration. Although the effects were observed only in the supraphysiological doses, the results indicate that certain bisphenol analogs might affect several ovarian cancer cell characteristics and merit further investigation.

Integrated miRNA Profiling of Extracellular Vesicles from Uterine Aspirates, Malignant Ascites and Primary-Cultured Ascites Cells for Ovarian Cancer Screening

Extracellular vesicles (EVs) are of growing interest in the context of screening for highly informative cancer markers. We have previously shown that uterine aspirate EVs (UA EVs) are a promising source of ovarian cancer (OC) diagnostic markers. In this study, we first conducted an integrative analysis of EV-miRNA profiles from UA, malignant ascitic fluid (AF), and a conditioned medium of cultured ascites cells (ACs). Using three software packages, we identified 79 differentially expressed miRNAs (DE-miRNAs) in UA EVs from OC patients and healthy individuals. To narrow down this panel and select miRNAs most involved in OC pathogenesis, we aligned these molecules with the DE-miRNA sets obtained by comparing the EV-miRNA profiles from OC-related biofluids with the same control. We found that 76% of the DE-miRNAs from the identified panel are similarly altered (differentially co-expressed) in AF EVs, as are 58% in AC EVs. Interestingly, the set of miRNAs differentially co-expressed in AF and AC EVs strongly overlaps (40 out of 44 miRNAs). Finally, the application of more rigorous criteria for DE assessment, combined with the selection of miRNAs that are differentially co-expressed in all biofluids, resulted in the identification of a panel of 29 miRNAs for ovarian cancer screening.

Integrated miRNA Profiling of Extracellular Vesicles from Uterine Aspirates, Malignant Ascites and Primary-Cultured Ascites Cells for Ovarian Cancer Screening.

Extracellular vesicles (EVs) are of growing interest in the context of screening for highly informative cancer markers. We have previously shown that uterine aspirate EVs (UA EVs) are a promising source of ovarian cancer (OC) diagnostic markers. In this study, we first conducted an integrative analysis of EV-miRNA profiles from UA, malignant ascitic fluid (AF), and a conditioned medium of cultured ascites cells (ACs). Using three software packages, we identified 79 differentially expressed miRNAs (DE-miRNAs) in UA EVs from OC patients and healthy individuals. To narrow down this panel and select miRNAs most involved in OC pathogenesis, we aligned these molecules with the DE-miRNA sets obtained by comparing the EV-miRNA profiles from OC-related biofluids with the same control. We found that 76% of the DE-miRNAs from the identified panel are similarly altered (differentially co-expressed) in AF EVs, as are 58% in AC EVs. Interestingly, the set of miRNAs differentially co-expressed in AF and AC EVs strongly overlaps (40 out of 44 miRNAs). Finally, the application of more rigorous criteria for DE assessment, combined with the selection of miRNAs that are differentially co-expressed in all biofluids, resulted in the identification of a panel of 29 miRNAs for ovarian cancer screening.

Unraveling the role of ubiquitin C-terminal hydrolase L1 in high grade serous ovarian cancer pathogenesis.

e15078 Background: High grade serous ovarian cancer (HGSOC) is the most lethal of all gynecologic malignancies, due to the fact that the majority of patients are diagnosed at an advanced stage and eventually develop chemoresistant disease 12-18 months following completion of frontline therapy. Therefore, novel targeted therapies are urgently needed to combat chemoresistance and improve patient clinical outcomes. Ubiquitin C-terminal hydrolase L1 (UCHL1) is a deubiquitinating enzyme that plays a vital role in protein homeostasis and is highly overexpressed in HGSOC. It was previously uncovered that targeting UCHL1 with small molecule inhibition reduced cell viability in a chemoresistant ovarian cancer cell line. Methods: Comparative-label free proteomic analysis was used to uncover significant changes in HGSOC cell line OVCAR8WT following treatment with UCHL1 small molecule inhibitor, LDN-5744 or corresponding DMSO control. Significant pathway changes were determined by KEGG analysis. Matched chemosensitive and resistant HGSOC cells PEA1 and PEA2 were treated in combination with LDN-5744 and carboplatin, with cell viability was determined by an MTS assay. Furthermore, western blot analysis was employed to compare common cell growth pathway changes as a result of UCHL1 inhibition in HGSOC cells. Results: Proteomic analysis revealed a significant (p<0.05) upregulation in methyl phosphate capping enzyme (MEPCE) (4.9-fold), asparagine synthetase (ASNS) (2.5-fold), Phosphoserine aminotransferase 1 (PSAT1) (1.7-fold), and downregulation in centrosomal protein 55 (CEP55) (-7.2-fold), These identified proteomic changes were confirmed by western blot. KEGG pathways analysis using all significantly (p<0.05) differentially expressed proteins showcased significant (p<0.05) enrichment in amino acid biosynthesis, and metabolism, and chemical carcinogenesis-reactive oxygen species. Chemoresistant PEA2 cells treated in combination with LDN-5744 and carboplatin demonstrated a 59% reduction in cell viability, significantly (p<0.001) lower than the 13% and 22%, that was observed from UCHL1 and carboplatin treatment alone, respectively. Conversely, PEA1, the chemosensitive counterpart to PEA2 demonstrated a significant (p<0.001) 37% increase in cell viability upon combinatorial treatment compared with carboplatin alone, indicating that UCHL1 inhibition rescues the cells from chemotherapy induced cell death. Finally, LDN-5744 treatment in PEA2 led to a reduction in levels of phospho-(p-)AKT, p-STAT3, and p-ERK, while conversely in PEA1 cells levels of these proteins were increase or unchanged. Conclusions: Our findings demonstrate that targeting UCHL1 results in prominent metabolic changes in HGSOC cells and that the efficacy of UCHL1 inhibition is heavily dependent upon platinum status. Overall, this study highlights UCHL1’s novel therapeutic role in the recurrent HGSOC.

Current data and future perspectives on DNA methylation in ovarian cancer (Review).

Ovarian cancer (OC) represents the most prevalent malignancy of the female reproductive system. Its distinguishing features include a high aggressiveness, substantial morbidity and mortality, and a lack of apparent symptoms, which collectively pose significant challenges for early detection. Given that aberrant DNA methylation events leading to altered gene expression are characteristic of numerous tumor types, there has been extensive research into epigenetic mechanisms, particularly DNA methylation, in human cancers. In the context of OC, DNA methylation is often associated with the regulation of critical genes, such as BRCA1/2 and Ras‑association domain family 1A. Methylation modifications within the promoter regions of these genes not only contribute to the pathogenesis of OC, but also induce medication resistance and influence the prognosis of patients with OC. As such, a more in‑depth understanding of DNA methylation underpinning carcinogenesis could potentially facilitate the development of more effective therapeutic approaches for this intricate disease. The present review focuses on classical tumor suppressor genes, oncogenes, signaling pathways and associated microRNAs in an aim to elucidate the influence of DNA methylation on the development and progression of OC. The advantages and limitations of employing DNA methylation in the diagnosis, treatment and prevention of OC are also discussed. On the whole, the present literature review indicates that the DNA methylation of specific genes could potentially serve as a prognostic biomarker for OC and a therapeutic target for personalized treatment strategies. Further investigations in this field may yield more efficacious diagnostic and therapeutic alternatives for patients with OC.

Immune-related gene methylation prognostic instrument for stratification and targeted treatment of ovarian cancer patients toward advanced 3PM approach.

DNA methylation is an important mechanism in epigenetics, which can change the transcription ability of genes and is closely related to the pathogenesis of ovarian cancer (OC). We hypothesize that DNA methylation is significantly different in OCs compared to controls. Specific DNA methylation status can be used as a biomarker of OC, and targeted drugs targeting these methylation patterns and DNA methyltransferase may have better therapeutic effects. Studying the key DNA methylation sites of immune-related genes (IRGs) in OCpatients and studying the effects of these methylation sites on the immune microenvironment may provide a new method for further exploring the pathogenesis of OC, realizing early detection and effective monitoring of OC, identifying effective biomarkers of DNA methylation subtypes and drug targets, improving the efficacy of targeted drugs or overcoming drug resistance, and better applying it to predictive diagnosis, prevention, and personalized medicine (PPPM; 3PM) of OC. Hypermethylated subtypes (cluster 1) and hypomethylated subtypes (cluster 2) were established in OCs based on the abundance of different methylation sites in IRGs. The differences in immune score, immune checkpoints, immune cells, and overall survival were analyzed between different methylation subtypes in OC samples. The significant pathways, gene ontology (GO), and protein-protein interaction (PPI) network of the identified methylation sites in IRGs were enriched. In addition, the immune-related methylation signature was constructed with multiple regression analysis. A methylation site model based on IRGs was constructed and verified. A total of 120 IRGs with 142 differentially methylated sites (DMSs) were identified. The DMSs were clustered into a high-level methylation group (cluster 1) and a low-level methylation group (cluster 2). The significant pathways and GO analysis showed many immune-related and cancer-associated enrichments. A methylation site signature based on IRGs was constructed, including RORC|cg25112191, S100A13|cg14467840, TNF|cg04425624, RLN2|cg03679581, and IL1RL2|cg22797169. The methylation sites of all five genes showed hypomethylation in OC, and there were statistically significant differences among RORC|cg25112191, S100A13|cg14467840, and TNF|cg04425624 (p < 0.05). This prognostic model based on low-level methylation and high-level methylation groups was significantly linked to the immune microenvironment as well as overall survival in OC. This study provided different methylation subtypes for OC patients according to the methylation sites of IRGs. In addition, it helps establish a relationship between methylation and the immune microenvironment, which showed specific differences in biological signaling pathways, genomic changes, and immune mechanisms within the two subgroups. These data provide ones to deeply understandthe mechanism of immune-related methylation genes on the occurrence and development of OC. The methylation-site signature is also to establish new possibilities for OC therapy. These data are a precious resource for stratification and targeted treatment of OC patients toward an advanced 3PM approach. The online version contains supplementary material available at 10.1007/s13167-024-00359-3.

Analysis of miRNAs miR-125a-5p, -27a-5p, -193a-5p, -135b-5p, -451a, -495-3p and -136-5p in parental ovarian cancer cells and secreted extracellular vesicles

Introduction. The identification of markers for liquid diagnostics of ovarian cancer is one of the most urgent tasks of gynecologic oncology. Currently, extracellular vesicles (EVs) are of great interest as a source of oncomarkers, including miRNA markers. We have previously shown that the levels of miR-125a-5p, -27a-5p, -193a-5p and 135b-5p are significantly elevated and miR-451a, -495-3p and -136-5p are significantly decreased in the EVs from uterine aspirates of ovarian cancer patients.Aim. Analysis of miR-125a-5p, -27a-5p, -193a-5p, 135b-5p, 451a, 495-3p and -136-5p levels in ovarian cancer cell cultures and secreted EVs.Material and methods. Cultivation of ovarian cancer cell lines: OVCAR-3, OVCAR-4, OVCAR-8 and SKOV3; EVs isolation from conditioned medium by ultracentrifugation; EVs validation by nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), western blot analysis of exosomal markers; isolation of miRNAs from cells and EVs; analysis of miRNAs by Stem-Loop – reverse transcription-quantitative polymerase chain reaction.Results. In all cell lines studied, the expression of miR-125a-5p, -27a-5p, -193a-5p and -135b-5p significantly exceeds the expression of -451a, -495-3p and -136-5p. All ovarian cancer cell lines are featured by a “cells &gt;EVs” ratio for highly expressed miRNAs and “EVs &gt;cells” ratio for poorly expressed miRNAs.Conclusion. The results of the study support the relation between the differential expression of studied miRNAs and the pathogenesis of ovarian cancer and confirm the high diagnostic potential of these molecules.

Identification of fallopian tube microbiota and its association with ovarian cancer

Investigating the human fallopian tube (FT) microbiota has significant implications for understanding the pathogenesis of ovarian cancer (OC). In this large prospective study, we collected swabs intraoperatively from the FT and other surgical sites as controls to profile the microbiota in the FT and to assess its relationship with OC. Eighty-one OC and 106 non-cancer patients were enrolled and 1001 swabs were processed for 16S rRNA gene PCR and sequencing. We identified 84 bacterial species that may represent the FT microbiota and found a clear shift in the microbiota of the OC patients when compared to the non-cancer patients. Of the top 20 species that were most prevalent in the FT of OC patients, 60% were bacteria that predominantly reside in the gastrointestinal tract, while 30% normally reside in the mouth. Serous carcinoma had higher prevalence of almost all 84 FT bacterial species compared to the other OC subtypes. The clear shift in the FT microbiota in OC patients establishes the scientific foundation for future investigation into the role of these bacteria in the pathogenesis of OC.

Identification of fallopian tube microbiota and its association with ovarian cancer.

Investigating the human fallopian tube (FT) microbiota has significant implications for understanding the pathogenesis of ovarian cancer (OC). In this large prospective study, we collected swabs intraoperatively from the FT and other surgical sites as controls to profile the microbiota in the FT and to assess its relationship with OC. Eighty-one OC and 106 non-cancer patients were enrolled and 1001 swabs were processed for 16S rRNA gene PCR and sequencing. We identified 84 bacterial species that may represent the FT microbiota and found a clear shift in the microbiota of the OC patients when compared to the non-cancer patients. Of the top 20 species that were most prevalent in the FT of OC patients, 60% were bacteria that predominantly reside in the gastrointestinal tract, while 30% normally reside in the mouth. Serous carcinoma had higher prevalence of almost all 84 FT bacterial species compared to the other OC subtypes. The clear shift in the FT microbiota in OC patients establishes the scientific foundation for future investigation into the role of these bacteria in the pathogenesis of OC.

Abstract A032: The role of ASIC2 and calcium influx in epithelial ovarian cancer pathogenesis

Abstract Objective: Inflammation associated with incessant ovulation plays a key role in epithelial ovarian cancer (EOC) pathogenesis. Ion channels, such as acid-sensing ion channel-2 or ASIC2 is known to be upregulated in inflammatory conditions and may play a role in calcium ion dysregulation. Here, we describe a potential relationship between ASIC2 and intracellular calcium levels in EOC development and progression. Methods: EOC cell lines OVCAR-8, ES-2 and SKOV-3 were grown to sub-confluence prior to experimentation. Global extracellular pH was changed with the use of hydrochloric acid (HCl) over various time points at hours (h): 2 h, 4 h, 8 h, 12 h and 24 h. ASIC2 expression was subsequently measured via western blot. Intracellular pH was measured with the use of pH-sensitive pHrodo red dye. Cytosolic pH was determined across all cell lines at baseline and after treatment with a known ASIC2 inhibitor: Diminazene (10 μM) over 30 minutes. Intracellular calcium levels were measured with a Fluo Calcium Indicator at baseline and with similar ASIC2 inhibition. Live cell imaging was utilized on a Nikon A1r confocal microscope. Results: Changing global, extracellular pH to 6.0 and 6.5 across various time points from 2-24 h did not affect ASIC2 protein expression via western blot analysis. We then utilized a pH-sensitive assay to determine whether intracellular pH changes were associated with ASIC2 expression. Interestingly, intracellular pH was noted to increase across most cell lines with ASIC2 inhibition via Diminazene treatment. There was a statistically significant increase in pH in ES2 and OVCAR8 cell lines. Because ASIC2 is known to result in influx of various ions, assessment of intracellular calcium levels was performed first after 30 minutes of Diminazene treatment. There was a corresponding significant increase in intracellular calcium levels in ES2 cells after ASIC2 inhibition. And there was a small trend, albeit not significant, toward a similar increase across SKOV-3 and OVCAR-8 cells. Conclusion: There seems to be a role for ASIC2 in EOC, particularly in the context of inflammation as noted by changes in intracellular pH levels. It is likely that ASIC2 may mediate changes in intracellular calcium signaling and promote tumorigenesis in ovarian cancer. Citation Format: Tanvi Joshi, Annelise Wilhite, Sagar Chokshi, Mary Howard Singleton, Jennifer Scalici, Kevin Lee. The role of ASIC2 and calcium influx in epithelial ovarian cancer pathogenesis [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 A032.

MiRNAs: Emerging Agents for Therapeutic Effects of Polyphenols on Ovarian Cancer.

In terms of female reproductive tract cancers, ovarian cancer remains the principal reason for mortality globally and is notably difficult to identify in its early stages. This fact highlights the critical need to establish prevention strategies for patients with ovarian cancer, look for new robust diagnostic and prognostic markers, and identify potential targets of response to treatment. MicroRNAs (miRNAs) are one of the novel treatment targets in cancer treatment. Thus, understanding the part of miRNAs in the pathogenesis and metastasis of ovarian cancer is at the center of researchers' attention. MiRNAs are suggested to play a role in modulating many essential cancer processes, like cell proliferation, apoptosis, differentiation, adhesion, epithelial-mesenchymal transition (EMT), and invasion. In two recent decades, natural polyphenols' anti-cancer features have been a focal point of research. Meanwhile, polyphenols are good research subjects for developing new cancer treatments. Polyphenols can modify miRNA expression and impact the function of transcription factors when used as dietary supplements. Multiple works have indicated the impact of polyphenols, including quercetin, genistein, curcumin, and resveratrol, on miRNA expression in vitro and in vivo. Here, we provide an in-depth description of four polyphenols used as dietary supplements: quercetin, genistein, curcumin, and resveratrol, and we summarize what is currently known about their regulatory abilities on influencing the miRNA functions in ovarian tumors to achieve therapeutic approaches.

Serum Lipidome Profiling Reveals a Distinct Signature of Ovarian Cancer in Korean Women.

Distinguishing ovarian cancer from other gynecological malignancies is crucial for patient survival yet hindered by non-specific symptoms and limited understanding of ovarian cancer pathogenesis. Accumulating evidence suggests a link between ovarian cancer and deregulated lipid metabolism. Most studies have small sample sizes, especially for early-stage cases, and lack racial/ethnic diversity, necessitating more inclusive research for improved ovarian cancer diagnosis and prevention. Here, we profiled the serum lipidome of 208 ovarian cancer, including 93 early-stage patients with ovarian cancer and 117 nonovarian cancer (other gynecological malignancies) patients of Korean descent. Serum samples were analyzed with a high-coverage liquid chromatography high-resolution mass spectrometry platform, and lipidome alterations were investigated via statistical and machine learning (ML) approaches. We found that lipidome alterations unique to ovarian cancer were present in Korean women as early as when the cancer is localized, and those changes increase in magnitude as the diseases progresses. Analysis of relative lipid abundances revealed specific patterns for various lipid classes, with most classes showing decreased abundance in ovarian cancer in comparison with other gynecological diseases. ML methods selected a panel of 17 lipids that discriminated ovarian cancer from nonovarian cancer cases with an AUC value of 0.85 for an independent test set. This study provides a systemic analysis of lipidome alterations in human ovarian cancer, specifically in Korean women. Here, we show the potential of circulating lipids in distinguishing ovarian cancer from nonovarian cancer conditions.

Proteomic insight towards key modulating proteins regulated by the aryl hydrocarbon receptor involved in ovarian carcinogenesis and chemoresistance

Gynecological malignancies pose a severe threat to female lives. Ovarian cancer (OC), the most lethal gynecological malignancy, is clinically presented with chemoresistance and a higher relapse rate. Several studies have highly correlated the incidence of OC to exposure to environmental pollutants, such as 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD), a process mainly mediated through activating the aryl hydrocarbon receptor (AhR). We have previously reported that exposure of OC cells to TCDD, an AhR activator, significantly modulated the expression of several genes that play roles in stemness and chemoresistance. However, the effect of AhR activation on the whole OC cell proteome aiming at identifying novel druggable targets for both prevention and treatment intervention purposes remains unrevealed. For this purpose, we conducted a comparative proteomic analysis of OC cells A2780 untreated/treated with TCDD for 24 h using a mass spectrometry-based label-free shotgun proteomics approach. The most significantly dysregulated proteins were validated by Western blot analysis. Our results showed that upon AhR activation by TCDD, out of 2598 proteins identified, 795 proteins were upregulated, and 611 were downregulated. STRING interaction analysis and KEGG-Reactome pathway analysis approaches identified several significantly dysregulated proteins that were categorized to be involved in chemoresistance, cancer progression, invasion and metastasis, apoptosis, survival, and prognosis in OC. Importantly, selected dysregulated genes identified by the proteomic study were validated at the protein expression levels by Western blot analysis. In conclusion, this study provides a better understanding of the the cross-talk between AhR and several other molecular signaling pathways and the role and involvement of AhR in ovarian carcinogenesis and chemoresistance. Moreover, the study suggests that AhR is a potential therapeutic target for OC prevention and maintenance. SignificanceTo our knowledge, this is the first study that investigates the role and involvement of AhR and its regulated genes in OC by performing a comparative proteomic analysis to identify the critical proteins with a modulated expression upon AhR activation. We found AhR activation to play a tumor-promoting and chemoresistance-inducing role in the pathogenesis of OC. The results of our study help to devise novel therapeutics for better management and prevention and open the doors to finding novel biomarkers for the early detection and prognosis of OC.

Reclassifying BRCA1 c.4358-2A > G and BRCA2 c.475 + 5G > C variants from “Uncertain Significance” to “Pathogenic” based on minigene assays and clinical evidence

BackgroundPathogenic variants in BRCA genes play a crucial role in the pathogenesis of ovarian cancer. Intronic variants of uncertain significance (VUS) may contribute to pathogenicity by affecting splicing. Currently, the significance of many intronic variants in BRCA has not been clarified, impacting patient treatment strategies and the management of familial cases.MethodA retrospective study was conducted to analyze BRCA intronic VUS in a cohort of 707 unrelated ovarian cancer patients at a single institution from 2018 to 2023. Three splicing predictors were employed to analyze detected intronic VUS. Variants predicted to have splicing alterations were selected for further validation through minigene assays. Patient and familial investigations were conducted to comprehend cancer incidence within pedigrees and the application of poly (ADP-ribose) polymerase inhibitors (PARPi) by the patients. In accordance with the guidelines of the American College of Medical Genetics and Genomics (ACMG), the intronic VUS were reclassified based on minigene assay results and clinical evidence.ResultApproximately 9.8% (69/707) of patients were identified as carriers of 67 different VUS in BRCA1/2, with four intronic variants accounting for 6% (4/67) of all VUS. Splicing predictors indicated potential splicing alterations in splicing for BRCA1 c.4358-2A>G and BRCA2 c.475+5G>C variants. Minigene assays utilizing the pSPL3 exon trapping vector revealed that these variants induced changes in splicing sites and frameshift, resulting in premature termination of translation (p. Ala1453Glyfs and p. Pro143Glyfs). According to ACMG guidelines, BRCA1 c.4358-2A>G and BRCA2 c.475+5G>C were reclassified as pathogenic variants. Pedigree investigations were conducted on patients with BRCA1 c.4358-2A>G variant, and the detailed utilization of PARPi provided valuable insights into research on PARPi resistance.ConclusionTwo intronic VUS were reclassified as pathogenic variants. A precise classification of variants is crucial for the effective treatment and management of both patients and healthy carriers.

Identification and Analysis of Gene Biomarkers for Ovarian Cancer.

Objective: To identify potential diagnostic markers for ovarian cancer (OC) and explore the contribution of immune cells infiltration to the pathogenesis of OC. Methods: As the study cohort, two gene expression datasets of human OC (GSE27651 and GSE26712, taken as the metadata) taken from the Gene Expression Omnibus (GEO) database were combined, comprising 228 OC and 16 control samples. Analysis was performed to identify the differentially expressed genes between the OC and control samples, while support vector machine analysis using the recursive feature elimination algorithm and least absolute shrinkage and selection operator regression were performed to identify candidate biomarkers that could discriminate OC. In addition, immunohistochemistry staining was performed to verify the diagnostic value and protein expression levels of the candidate biomarkers. The GSE146553 dataset (OC n = 40, control n = 3) was used to further validate the diagnostic values of those biomarkers. Further, the proportions of various immune cells infiltration in the OC and control samples were evaluated using the CIBERSORT algorithm. Results: CLEC4M, PFKP, and SCRIB were identified as potential diagnostic markers for OC in both the metadata (area under the receiver operating characteristic curve [AUC] = 0.996, AUC = 1.000, AUC = 1.000) and GSE146553 dataset (AUC = 0.983, AUC = 0.975, AUC = 0.892). Regarding immune cell infiltration, there was an increase in the infiltration of follicular helper dendritic cells, and a decrease in the infiltration of M2 macrophages and neutrophils, as well as activated natural killer (NK) cells and T cells in OC. CLEC4M showed a significantly positive correlation with neutrophils (r = 0.57, p < 0.001) and resting NK cells (r = 0.42, p = 0.0047), but a negative correlation with activated dendritic cells (r = -0.33, p = 0.032). PFKP displayed a significantly positive correlation with activated NK cells (r = 0.36, p = 0.016) and follicular helper T cells (r = 0.32, p = 0.035), but a negative correlation with the naive B cells (r = -0.3, p = 0.049) and resting NK cells (r = -0.41, p = 0.007). SCRIB demonstrated a significantly positive correlation with plasma cells (r = 0.39, p = 0.01), memory B cells (r = 0.34, p = 0.025), and follicular helper T cells (r = 0.31, p = 0.04), but a negative correlation with neutrophils (r = -0.46, p = 0.002) and naive B cells (r = -0.48, p = 0.0012). Conclusion: CLEC4M, PFKP, and SCRIB were identified and verified as potential diagnostic biomarkers for OC. This work and identification of the three biomarkers may provide guidance for future studies into the mechanism and treatment of OC.

Exploring the causal role of multiple metabolites on ovarian cancer: a two sample Mendelian randomization study

BackgroundThe mechanisms and risk factors underlying ovarian cancer (OC) remain under investigation, making the identification of new prognostic biomarkers and improved predictive factors critically important. Recently, circulating metabolites have shown potential in predicting survival outcomes and may be associated with the pathogenesis of OC. However, research into their genetic determinants is limited, and there are some inadequacies in understanding the distinct subtypes of OC. In this context, we conducted a Mendelian randomization study aiming to provide evidence for the relationship between genetically determined metabolites (GDMs) and the risk of OC and its subtypes.MethodsIn this study, we consolidated genetic statistical data of GDMs with OC and its subtypes through a genome-wide association study (GWAS) and conducted a two-sample Mendelian randomization (MR) analysis. The inverse variance weighted (IVW) method served as the primary approach, with MR-Egger and weighted median methods employed for cross-validation to determine whether a causal relationship exists between the metabolites and OC risk. Moreover, a range of sensitivity analyses were conducted to validate the robustness of the results. MR-Egger intercept, and Cochran’s Q statistical analysis were used to evaluate possible heterogeneity and pleiotropy. False discovery rate (FDR) correction was applied to validate the findings. We also conducted a reverse MR analysis to validate whether the observed blood metabolite levels were influenced by OC risk. Additionally, metabolic pathway analysis was carried out using the MetaboAnalyst 5.0 software.ResultsIn MR analysis, we discovered 18 suggestive causal associations involving 14 known metabolites, 8 metabolites as potential risk factors, and 6 as potential cancer risk reducers. In addition, three significant pathways, "caffeine metabolism," "arginine biosynthesis," and "citrate cycle (TCA cycle)" were associated with the development of mucinous ovarian cancer (MOC). The pathways "caffeine metabolism" and "alpha-linolenic acid metabolism" were associated with the onset of endometrioid ovarian cancer (OCED).ConclusionsOur MR analysis revealed both protective and risk-associated metabolites, providing insights into the potential causal relationships between GDMs and the metabolic pathways related to OC and its subtypes. The metabolites that drive OC could be potential candidates for biomarkers.

Applications of CA125 in Ovarian Cancer

Ovarian cancer is currently the most fatal among gynecological malignancies with a low survival rate, especially in the case of type II tumors. Cancer antigen 125, the primary protein biomarker associated with ovarian cancer, has been researched for its involvement in the ovarian cancer pathogenesis and its potential applications in enhancing both accurate diagnostics and effective therapies. Research has investigated the connections between CA125 and several biological pathways, revealing their associations with cancer cell proliferation and migration. Further research aims to utilize CA125 for a more accurate diagnosis and potential treatments for ovarian cancer. Approaches have been established to address the low specificity of CA125 diagnostic tests, including altering the traditional CA125 value threshold used for ovarian cancer diagnosis and detecting CA125 alongside other antigens. CA125-specific cancer vaccines and immunotherapies are currently undergoing clinical trials and are being developed for future clinical use.

Upregulation of CELSR1 expression promotes ovarian cancer cell proliferation, migration, and invasion.

Cadherin epidermal growth factor and laminin-G seven-pass G-type receptor 1 (CELSR1) is a planar cell polarity protein involved in the transmission of directional cues to align either individual cells within an epithelial sheet or multicellular clusters. CELSR1 has been suggested to play a role in glioma, breast cancer, and chronic lymphocytic leukemia development; however, whether it has a role in the pathogenesis of ovarian cancer remains unknown. The aim of this study was to determine the role of CELSR1 in ovarian cancer and elucidate its underlying molecular mechanisms. By analyzing gene expression data downloaded from the Cancer Genome Atlas database,we found that CELSR1 expression was upregulated in ovarian cancer tissues compared to that in normal ovarian tissues. High CELSR1 expression levels were associated with poor prognosis in patients with ovarian cancer. Cell proliferation, scratch, and transwell assays revealed that CELSR1 promoted the proliferation, migration, and invasion of ovarian cancer cells in vitro. In addition, transcriptome sequencing analysis revealed that CELSR1 knockdown in T29H cells resulted in the dysregulation of the expression of 1320 genes. Further analysis revealed that genes involved in proliferation- and migration-associated signaling pathways were regulated by CELSR1. Our study demonstrates that CELSR1 is highly expressed in ovarian cancer cells and regulates their proliferation and migration, suggesting its potential as a diagnostic marker and therapeutic target.

RNF144B-mediated p21 degradation regulated by HDAC3 contribute to enhancing ovarian cancer growth and metastasis

We have shown before that HDAC3 was involved in the pathogenesis of ovarian cancer; however, the specific mechanism of HDAC3 on the pathogenesis of ovarian cancer has not been thoroughly studied. To explore the related proteins in the mechanism of HDAC3 on ovarian cancer. The transcriptome profiles were identified in ovarian carcinoma cells with HDAC3 knockdown or overexpression. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blot analysis were used to verify transfection efficiency. Immunofluorescence staining were performed to detect the expression levels of HDAC3 and RNF144B in tissues. Cell proliferation, apoptosis, migration and invasion were confirmed by cell counting Kit-8 (CCK-8), terminal deoxynucleotidyl transferase (TUNEL) and transwell assay, respectively. The protein expression of p53, p21, Bax and Bcl-2 was confirmed by western blot, and CoIP assay was used to validate RNF144B/P21/P53 interaction. Meanwhile, the protein synthesis inhibitor cycloheximide (CHX) was performed to treat cells to probe p21 stability. Finally, we established an in vivo tumor model to explore the effects of HDAC3 and RNF144B on tumor growth. Microarray results showed that among the overlapping genes in the two profiles (HDAC3 knockdown and overexpression), RNF144B was decreased or increased in ovarian carcinoma cells with HDAC3 knockdown or overexpression, HDAC3 overexpression promoted RNF144B expression, and HDAC3 knockdown hindered RNF144B levels. The levels of HDAC3 and RNF144B in malignant ovarian cancer were significantly higher than those in normal ovarian tissue and benign ovarian cancer tissue. RNF144B promoted cell proliferation, migration and invasion, and inhibited cell apoptosis. In addition, overexpression of HDAC3 or RNF144B inhibited p53/p21/Bax expression and promoted Bcl-2 expression. Knockout of HDAC3 or RNF144B has the opposite effect, and RNF144B interacted with p21 and regulated the p21/p53 complex degradation, and finally in vivo experiments proved that HDAC3 and RNF144B promoted tumor growth. RNF144B-mediated p21 degradation regulated by HDAC3 contributed to enhancing ovarian cancer growth and metastasis.

ARID5B promoted the histone demethylation of SORBS2 and hampered the metastasis of ovarian cancer

Ovarian cancer (OVCA) is the 4th most common female tumor after breast cancer, cervical cancer, and endometrial cancer, and now is mainly treated with debulking surgery and postoperative cisplatin and paclitaxel-based combination chemotherapy regimens. However, OVCA is insidious in its development and recurrence occurred in some patients after treatment. It is of great significance to study the pathogenesis of ovarian cancer and identify more biomarkers. Recently, the role of histone methyltransferase (HMT) and histone demethylase (HDM) in oncogenesis and development of malignant tumors has raised attention. Unlike other JMJC demethylases that have both JMJC and ARID domains in a single molecule, PHF2 requires assembly into a complex with a DNA-binding subunit (ARID5B) and exerts its enzymatic activity. Therefore, the aim of this manuscript is to investigate the role of histone demethylases ARID5B-PHF2 complex in the metastasis of OVCA. As result, we found ARID5B and PHF2 are both low expressed in OVCA tumor tissues and cell lines and associated with diagnosis and prognosis. Also, ARID5B suppressed rearrangement of the cytoskeleton in the process of EMT in OVCA cell lines. The role of PHF2 as a tumor suppressor was also confirmed both in vivo and in vitro. SORBS2 is low expressed in OVCA tumor tissues and cell lines and associated with diagnosis and prognosis. The expression of SORBS2 is positively corelated with the expression of ARID5B and PHF2. The promoter of SORBS2 is proved combined with ARID5B. The expression of SORBS2 was increased due to ARID5B-PHF2 complex promoted the histone demethylation by mainly binding in site H3K36me2 and therefore promoting the transcription of SORBS2. In conclusion, ARID5B-PHF2 complex promoted the histone demethylation of SORBS2 by mainly bind in site H3K36me2 and therefore promote the transcription of SORBS2 then hampered the process of EMT and tumor generation of OVCA. These results provided a new perspective on the molecular mechanisms of OVCA development and offered a new target of clinical diagnose and treatment of OVCA.