Ovarian Carcinoma Samples Research Articles

Comparative Analysis of Gene Expression Analysis Methods for RNA in Situ Hybridization Images

Gene expression analysis is pivotal in cancer research and clinical practice. While traditional methods lack spatial context, RNA in situ hybridization (RNA-ISH) is a powerful technique that retains spatial tissue information. Here, RNAscope score, RT-droplet digital PCR (RT-ddPCR), and automated QuantISH and QuPath were employed for quantifying RNA-ISH expression values from formalin-fixed paraffin-embedded samples. The methods were compared using high-grade serous ovarian carcinoma samples, focusing on CCNE1, WFDC2, and PPIB genes. The findings demonstrate good concordance between automated methods and RNAscope, with RT-ddPCR showing less concordance. Additionally, QuantISH exhibits robust performance, even for low-expressed genes like CCNE1, showcasing its modular design and enhancing accessibility as a viable alternative for gene expression analysis.

Abstract 565: PDE7 modulates EMT, cells morphology and mitochondrial cristae in high grade serous ovarian cancer

Abstract Background: Due to the acquisition of chemoresistant phenotype by epithelial ovarian cancer (EOC) cells and, consequently, disease relapse, the identification of novel therapeutic strategies is urgent. Herein, we targeted phosphodiesterase 7A (PDE7A) in EOC cells, based on data derived from RNA-sequencing assays comparing high-grade serous ovarian carcinoma (HGSOC) and fallopian tube samples. Methods: To understand the role of PDE inhibition, we evaluated the effects of its inhibitor BRL50481 alone or in combination with paclitaxel (PTX) on untreated A2780 EOC cells and multi-resistant high grade serous ovarian cancer (HGSOC) OVCAR3 cells. To do so, we pursued with the: validation of data obtained by high throughput RNA sequencing assays using qRT-PCR; evaluation of PDE7 expression in normal and EOC cells, as well as in normal Fallopian tube cells by qRT-PCR; immunoblotting; metabolic cell viability (MCV) by MTT assays; cytokine dosage by qRT-PCR and ELISA; scanning electron microscopy; transmission electron microscopy; statistical analysis (GraphPad software). Results: Drug-sensitive A2780 cells, but not OVCAR3 cells, exhibited lower MCV when treated with the PDE7 inhibitor; however, the combinatory therapy decreased MCV in both cell lines. Of clinical relevance, pre-treatment of A2780 and OVCAR3 with the PDE7 inhibitor BRL50481 followed by PTX lowered its IC50 by 103- and 625-fold, respectively. While the phosphatidylinositol 3-kinase (PI3K)/protein kinase B(AKT)/mammalian target of rapamycin (mTOR) pathway was inhibited in both cell lines, the pro-apoptotic protein Bcl-2 Associated X-protein (BAX) was overexpressed in A2780 cells only. Analysis of mRNA and protein expression in OVCAR3 pretreated with BRL50481 showed a 2-fold increase in IL-6 cytokine expression. Pre-treatment of OVCAR3 with BRL50481 followed by the combination of BRL50481 and PTX inhibited the expression of vimentin and Octamer-binding transcription factor 4 (OCT4) by 2-fold. BRL50481 promoted changes in EOC cells morphology and mitochondrial cristae. Conclusions: Altogether, our data led us to postulate that inhibition of PDE7 in EOC cells, specifically in those presenting the chemoresistant phenotype, is a promising strategy to fight this yet highly lethal disease. Citation Format: Leticia B. A. Rangel, Nayara Gusmão Tessarollo, Isabella dos Santos Guimarães, Diandra Zipinotti dos Santos, Taciane Barbosa Henriques, Marcele Lorentz de Souza, Leide Laura Figueiredo Maciel, João Carlos Aquino Almeida, Tatiana Massariol Pimenta, Josiany Carlos de Souza, Ranna Batista Wanzeler, Barbara Silva Martins, Solenny Maria Silva Butzene, Jose Matheus Simões Padilha. PDE7 modulates EMT, cells morphology and mitochondrial cristae in high grade serous ovarian cancer [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 565.

Abstract A007: DNA methylation analysis comparing high-grade serous ovarian cancer to the normal ovary with adjustment for cell type variation identifies tumor-specific methylation alterations

Abstract A007: DNA methylation analysis comparing high-grade serous ovarian cancer to the normal ovary with adjustment for cell type variation identifies tumor-specific methylation alterations

66 Overexpression of the microRNA let-7i does not consistently enhance sensitivity to cisplatin in vitro in patient-derived epithelial ovarian carcinoma samples

66 Overexpression of the microRNA let-7i does not consistently enhance sensitivity to cisplatin in vitro in patient-derived epithelial ovarian carcinoma samples

RAD51 as a biomarker for homologous recombination deficiency in high-grade serous ovarian carcinoma: robustness and interobserver variability of the RAD51 test.

The RAD51 test is emerging as a promising biomarker for the assessment of functional homologous recombination deficiency (HRD). Yet, the robustness and reproducibility of the immunofluorescence-based RAD51 test, in different academic laboratories, have not been systematically investigated. Therefore, we tested the performance of the RAD51 assay in formalin-fixed paraffin-embedded (FFPE) high-grade serous ovarian carcinoma (HGSOC) samples in four European laboratories. Here, we confirm that subtle differences in staining procedures result in low variability of RAD51 and γH2AX scores. However, substantial variability in RAD51 scoring was observed in some samples, likely due to complicating technical and biological features, such as high RAD51 signal-to-noise ratio and RAD51 heterogeneity. These results support the need to identify and perform additional quality control steps and/or automating image analysis. Altogether, resolving technical issues should be a priority, as identifying tumours with functional HRD is urgently needed to guide the individual treatment of HGSOC patients. Follow-up studies are needed to define the key tissue quality requirements to assess HRD by RAD51 in FFPE tumour samples, as this test could help in guiding the individual treatment of HGSOC patients.

Expression of circ-PHC3 enhances ovarian cancer progression via regulation of the miR-497-5p/SOX9 pathway

BackgroundAccumulating studies have reported indispensable functions of circular RNAs (circRNA) in tumor progression through regulation of gene expression. However, circRNA expression profiles and functions in human ovarian carcinoma (OC) are yet to be fully established.MethodsIn this research, deep sequencing of circRNAs from OC samples and paired adjacent normal tissues was performed to establish expression profiles and circ-PHC3 levels between the groups further compared using RT-qPCR. The effects of ectopic overexpression of miR-497-5p and SOX9 and siRNA-mediated knockdown of circ-PHC3 and an miR-497-5p inhibitor were explored to clarify the regulatory mechanisms underlying circ-PHC3 activity in OC proliferation and metastasis. Information from public databases and the luciferase reporter assay were further utilized to examine the potential correlations among circ-PHC3, miR-497-5p and SOX9.ResultsOur results showed significant upregulation of circ-PHC3 in both OC cell lines and tissues. In the luciferase reporter assay, downregulation of circ-PHC3 led to suppression of metastasis and proliferation, potentially through targeted effects on the miR-497-5p/SOX9 axis in OC. SOX9 overexpression or miR-497-5p suppression rescued OC cell proliferation and invasion following silencing of circ-PHC3. Moreover, SOX9 inhibition induced restoration of OC cell invasion and proliferation under conditions of overexpression of miR-497-5p. Thus, circ-PHC3 appears to exert effects on cancer stem cell differentiation through regulation of the miR-497-5p/SOX9 axis.ConclusionTaken together, our findings suggest that circ-PHC3 enhances OC progression through functioning as an miR-497-5p sponge to promote SOX9 expression, supporting its potential as a promising candidate target for OC therapy.

Immunohistochemical Profiling of PD-1, PD-L1, CD8, MSI, and p53 and Prognostic Implications in Advanced Serous Ovarian Carcinoma: A Retrospective Study.

Advanced high-grade serous ovarian carcinoma is a serious malignant neoplasm with a late diagnosis and high mortality rate. Even when treated with standard therapy, such as surgery followed by carboplatin and paclitaxel chemotherapy, the prognosis remains unfavorable. Immunotherapy is a treatment alternative that requires further study. Therefore, we aimed to evaluate the expression of PD-1, PD-L1, CD8, MSI (MLH1, MSH2, MSH6, and PMS2), and p53 in the paraffin samples of high-grade serous ovarian carcinoma. A retrospective study of 28 southern Brazilian patients with advanced serous ovarian carcinoma (EC III or IV) was conducted between 2009 and 2020. The expression of these proteins was evaluated using immunohistochemistry, and the results were correlated with the patients' clinicopathological data. At diagnosis, the mean age was 61 years, and the most common clinical stage (60%) was EC III. Among the cases, 84.6% exhibited p53 overexpression, 14.8% had MSI, 92.0% were sensitive to platinum, and more than 50.0% relapsed after treatment. Patients with MSI had a lower CD8/PD-1 ratio and more relapses (p = 0.03). In conclusion, analysis of immunotherapeutic markers in paraffin-embedded advanced serous ovarian carcinoma samples is feasible and may assist in prognosis.

Accurate tumor purity determination is critical for the analysis of homologous recombination deficiency (HRD)

Homologous recombination deficiency (HRD) is a predictive marker for response to poly (ADP-ribose) polymerase inhibitors (PARPi) in ovarian carcinoma. HRD scores have entered routine diagnostics, but the influence of algorithms, parameters and confounders has not been analyzed comprehensively.A series of 100 poorly differentiated ovarian carcinoma samples was analyzed using whole exome sequencing (WES) and genotyping. Tumor purity was determined using conventional pathology, digital pathology, and two bioinformatic methods. HRD scores were calculated from copy number profiles determined by Sequenza and by Sclust either with or without fixed tumor purity. Tumor purity determination by digital pathology combined with a tumory purity informed variant of Sequenza served as reference method for HRD scoring.Seven tumors had deleterious mutations in BRCA1/2, 12 tumors had deleterious mutations in other homologous recombination repair (HRR) genes, 18 tumors had variants of unknown significance (VUS) in BRCA1/2 or other HRR genes, while the remaining 63 tumors had no relevant alterations. Using the reference method for HRD scoring, 68 tumors were HRD-positive. HRDsum determined by WES correlated strongly with HRDsum determined by single nucleotide polymorphism (SNP) arrays (R = 0.85). Conventional pathology systematically overestimated tumor purity by 8% compared to digital pathology. All investigated methods agreed on classifying the deleterious BRCA1/2-mutated tumors as HRD-positive, but discrepancies were observed for some of the remaining tumors. Discordant HRD classification of 11% of the tumors was observed comparing the tumor purity uninformed default of Sequenza and the reference method.In conclusion, tumor purity is a critical factor for the determination of HRD scores. Assistance by digital pathology helps to improve accuracy and imprecision of its estimation.

Identification of Driver Genes and miRNAs in Ovarian Cancer through an Integrated In-Silico Approach

Ovarian cancer is the eighth-most common cancer in women and has the highest rate of death among all gynecological malignancies in the Western world. Increasing evidence shows that miRNAs are connected to the progression of ovarian cancer. In the current study, we focus on the identification of miRNA and its associated genes that are responsible for the early prognosis of patients with ovarian cancer. The microarray dataset GSE119055 used in this study was retrieved via the publicly available GEO database by NCBI for the analysis of DEGs. The miRNA GSE119055 dataset includes six ovarian carcinoma samples along with three healthy/primary samples. In our study, DEM analysis of ovarian carcinoma and healthy subjects was performed using R Software to transform and normalize all transcriptomic data along with packages from Bioconductor. Results: We identified miRNA and its associated hub genes from the samples of ovarian cancer. We discovered the top five upregulated miRNAs (hsa-miR-130b-3p, hsa-miR-18a-5p, hsa-miR-182-5p, hsa-miR-187-3p, and hsa-miR-378a-3p) and the top five downregulated miRNAs (hsa-miR-501-3p, hsa-miR-4324, hsa-miR-500a-3p, hsa-miR-1271-5p, and hsa-miR-660-5p) from the network and their associated genes, which include seven common genes (SCN2A, BCL2, MAF, ZNF532, CADM1, ELAVL2, and ESRRG) that were considered hub genes for the downregulated network. Similarly, for upregulated miRNAs we found two hub genes (PRKACB and TAOK1).

RAD51/geminin/γH2AX immunohistochemical expression predicts platinum-based chemotherapy response in ovarian high-grade serous carcinoma.

The RAD51 assay is a recently developed functional assay for homologous recombination deficiency (HRD) that reflects real-time HRD status. We aimed to identify the applicability and predictive value of RAD51 immunohistochemical expression in pre- and post-neoadjuvant chemotherapy (NAC) samples of ovarian high-grade serous carcinoma (HGSC). We evaluated the immunohistochemical expression of RAD51/geminin/γH2AX in ovarian HGSC before and after NAC. In pre-NAC tumors (n=51), 74.5% (39/51) showed at least 25% of γH2AX-positive tumor cells, suggesting endogenous DNA damage. The RAD51-high group (41.0%, 16/39) showed significantly worse progression-free survival (PFS) compared to the RAD51-low group (51.3%, 20/39) (p=0.032). In post-NAC tumors (n=50), the RAD51-high group (36.0%, 18/50) showed worse PFS (p=0.013) and tended to present worse overall survival (p=0.067) compared to the RAD51-low group (64.0%, 32/50). RAD51-high cases were more likely to progress than RAD51-low cases at both 6 months and 12 months (p=0.046 and p=0.019, respectively). Of 34 patients with matched pre- and post-NAC RAD51 results, 44% (15/34) of pre-NAC RAD51 results were changed in the post-NAC tissue, and the RAD51 high-to-high group showed the worst PFS, while the low-to-low group showed the best PFS (p=0.031). High RAD51 expression was significantly associated with worse PFS in HGSC, and post-NAC RAD51 status showed higher association than pre-NAC RAD51 status. Moreover, RAD51 status can be evaluated in a significant proportion of treatment-naïve HGSC samples. As RAD51 status dynamically changes, sequential follow-up of RAD51 status might reflect the biological behavior of HGSCs.

Expression of DNA Methyltransferase 3B Isoforms Is Associated with DNA Satellite 2 Hypomethylation and Clinical Prognosis in Advanced High-Grade Serous Ovarian Carcinoma.

Alterations in DNA methylation are critical for the carcinogenesis of ovarian tumors, especially ovarian carcinoma (OC). DNMT3B, a de novo DNA methyltransferase (DNMT), encodes for fifteen spliced protein products or isoforms. DNMT3B isoforms lack exons for the catalytic domain, with functional consequences on catalytic activity. Abnormal expression of DNMT3B isoforms is frequently observed in several types of cancer, such as breast, lung, kidney, gastric, liver, skin, leukemia, and sarcoma. However, the expression patterns and consequences of DNMT3B isoforms in OC are unknown. In this study, we analyzed each DNMT and DNMT3B isoforms expression by qPCR in 63 OC samples and their association with disease-free survival (DFS), overall survival (OS), and tumor progression. We included OC patients with the main histological subtypes of EOC and patients in all the disease stages and found that DNMTs were overexpressed in advanced stages (p-value < 0.05) and high-grade OC (p-value < 0.05). Remarkably, we found DNMT3B1 overexpression in advanced stages (p-value = 0.0251) and high-grade serous ovarian carcinoma (HGSOC) (p-value = 0.0313), and DNMT3B3 was overexpressed in advanced stages (p-value = 0.0098) and high-grade (p-value = 0.0004) serous ovarian carcinoma (SOC). Finally, we observed that overexpression of DNMT3B isoforms was associated with poor prognosis in OC and SOC. DNMT3B3 was also associated with FDS (p-value = 0.017) and OS (p-value = 0.038) in SOC patients. In addition, the ovarian carcinoma cell lines OVCAR3 and SKOV3 also overexpress DNMT3B3. Interestingly, exogenous overexpression of DNMT3B3 in OVCAR3 causes demethylation of satellite 2 sequences in the pericentromeric region. In summary, our results suggest that DNMT3B3 expression is altered in OC.

Homologous Recombination Deficiency as an Ovarian Cancer Biomarker in a Real-World Cohort: Validation of Decentralized Genomic Profiling

The diagnostic evaluation of homologous recombination deficiency (HRD) is central to define targeted therapy strategies for patients with ovarian carcinoma. We evaluated HRD in 514 ovarian carcinoma samples by next-generation sequencing of DNA libraries, including BRCA1/BRCA2 and 26,523 single-nucleotide polymorphisms using the standardized Myriad HRD assay, with the predefined cut point of ≥42 for a positive genomic instability score (GIS). All samples were measured in the central Myriad laboratory and in an academic molecular pathology laboratory. A positive GIS was detected in 196 (38.1%) of tumors, whereas 318 (61.9%) were GIS negative. Combining GIS and BRCA mutations, a total of 200 (38.9%) of the 514 tumors were HRD positive. A positive GIS was significantly associated with high-grade serous histology (P<0.000001), grade 3 tumors (P=0.001), and patient age <60 years (P=0.0003). The concordance between both laboratories for the GIS status was 96.9% (P<0.000001), with a sensitivity of 94.6% and a specificity of 98.4%. Concordance for HRD status was 97.1% (499 of 514 tumors). The percentage of HRD-positive tumors in our real-life cohort was similar to the proportion observed in the recently published PAOLA-1 trial, with high concordance between central and local laboratories. Our results support introduction of the standardized HRD assay in academic molecular pathology laboratories, thus broadening access to personalized oncology strategies for patients with ovarian cancer worldwide.

Assessment of galectins -1, -3, -4, -8, and -9 expression in ovarian carcinoma patients with clinical implications

Background and aimGalectins have been recently tackled by many researchers in the field of cancer due to their role in tumorigenesis, disease progression, and metastasis. Thus, they are currently involved in biomarkers research on several types of cancer. In ovarian cancers, few studies were carried out to evaluate galectins expression profiling. Hence, our present study was executed to evaluate the mRNA expression of galectins -1, -3, -4, -8, and -9 in epithelial ovarian cancers.MethodsFifty-six tumor samples of ovarian carcinomas were analyzed for mRNA expression using qRT-PCR, and fold-changes were calculated in comparison to tissue samples of 26 women with normal ovaries.ResultsThe results of the present paper emphasize the importance of galectins as predictors for targeted therapy. LGALS1, LGALS3, LGALS4, LGALS8, and LGALS9 were found to be mostly overexpressed in ovarian carcinoma patients with the following percentage: 78.6%, 92.9%, 66.1%, 87.5%, and 85.7% respectively. Moreover, galectins -3 and -9 were found to be significantly elevated with lymph node metastasis (p = 0.044 and p = 0.011). Also, upregulation of galectin-1 and -9 were statistically significant in stages IIB, IIC, and IIIB (p = 0.002) in FIGO staging. CA19.9 is positively correlated to galectin-4 expression (p = 0.039).ConclusionOur findings strengthen the role of galectins in carcinogenesis, disease progression, and lymphnode metastasis in ovarian carcinomas. And since these galectins are mostly overexpressed, they could be promising markers for targeted therapy to reduce disease progression and metastasis process.

Abstract 2813: Identification of a novel tumor marker combination THY1-EPCAM for adaptor CAR T cell therapy in ovarian cancer

Abstract Major advances have been achieved in targeted immunotherapy with significant clinical benefits for patients. However, on-target/off-tumor toxicity is a major concern. This issue highlights the clinical need for better targets to improve the safety profile of immunotherapies. On-target/off-tumor toxicity is mainly based on the expression of tumor-associated antigens (TAA) in healthy tissues under physiological conditions. Thus, new approaches have to be developed to restrict specificity of targeted immunotherapy selectively towards cancerous cells. One way to improve target specificity is multi-targeting of cancer cells, i.e. targeting more than one TAA per cancer cell. We developed a workflow to identify new tumor markers employing an unbiased high throughput flow cytometry-based screen on primary ovarian cancer samples. Co-expression of THY1, a marker of fibroblasts and hematopoietic stem cells, was revealed on cancer cells characterized by EPCAM expression, a marker of epithelial cells. We confirmed our findings by high content imaging analyzing several ovarian carcinoma samples. Next we assessed the safety profile of the target combination THY1-EPCAM by analyzing the expression across a multitude of healthy human tissue samples using again high content imaging. Cluster analysis showed correlation patterns within the datasets confirming our previous findings. In order to investigate the functionality of THY1-EPCAM as therapeutic t we combined this target pair with the adaptor CAR technology, a modular system composed of a CAR recognizing biotin and biotinylated antibodies which are specific for a certain antigen. This technology combines the flexibility and controllability of antibodies with the efficacy of CAR T cell-dependent killing of target cells. The functional in vitro characterization of adaptor CAR T cells targeting the THY1-EPCAM pair shows high specificity and efficacy. Moreover, we are going to conduct in vivo studies with adaptor CAR T cells to investigate the efficacy and safety of targeting THY1-EPCAM in a solid tumor model. In conclusion, we successfully identified a novel target combination in ovarian cancer utilizing flow cytometry-based screening complemented by high content imaging. The new target pair combination shows promising results in vitro in combination with adaptor CAR T cells indicating its potential use as future immunotherapy. Citation Format: Christoph Herbel, Vera Dittmer, Manuel Martinez-Osuna, Sandy Reiß, Peter Mallmann, Dominik Ratiu, Michael Mallmann, Paurush Praveen, Werner Müller, Dominik Eckardt, Andreas Bosio. Identification of a novel tumor marker combination THY1-EPCAM for adaptor CAR T cell therapy in ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2813.

An Interfacial Affinity Interaction-Based Method for Detecting HOTAIR lncRNA in Cancer Plasma Samples.

Long non-coding RNA Homeobox transcript antisense intergenic RNA (HOTAIR) is recognized as a participant in different processes of normal cell development. Aberrant overexpression of HOTAIR contributes to the initiation, growth, and invasiveness of ovarian cancer. Using the affinity interaction of target HOTAIR lncRNA sequences towards a screen-printed gold electrode (SPE-Au), herein we report on a novel, rapid and simple method to detect HOTAIR sequences. HOTAIR lncRNA sequences were first extracted from ovarian cancer cell lines and patient plasma samples and were magnetically captured and purified by complimentary capture probe-functionalized magnetic beads. Isolated target HOTAIR lncRNAs were directly adsorbed onto unmodified screen-printed gold electrodes (SPE-Au) for direct quantification with [Fe(CN)6]3−/4− redox couple. Our assay achieved a linear dynamic range of 100 nM and 1 pM for detecting pre-clinical model HOTAIR lncRNA samples (%RSD ≤ 5%, for n = 3) and was highly specific, showing clear distinction between HOTAIR lncRNA targets and non-specific miR-891 and miR-486 (100 nM) (%RSD ≤ 5%, for n = 3). The method was tested using ovarian cancer-specific cell lines (SKOV3 and OVCAR3) and mesothelial cell line (MeT-5A)-derived lncRNAs. The analytical performance of our method was validated using RT-qPCR. Finally, the method was tested using clinical samples from ovarian cancer patients and the resulting electrochemical responses show a clear distinction between the ovarian carcinoma and benign samples.

Molecular Correlates of Venous Thromboembolism (VTE) in Ovarian Cancer.

Simple SummaryOvarian cancer is the most lethal form of gynecologic cancer. The prognosis is worse for patients with ovarian cancer who also develop a blood clot in their legs or lungs, known as a venous thromboembolism (VTE). Between 10-30% of women with ovarian cancer will develop a VTE but the mechanism behind this high incidence is not well understood. The aim of this study was to assess for the presence of tumor-specific molecular markers of VTE in order to better understand the relationship between ovarian cancer and VTE. We performed a comprehensive analysis assessing the proteomic and genomic profiles of 32 patients with ovarian cancer and identified that there are molecular differences in patients with a VTE compared to those without.Background: The incidence of venous thromboembolism (VTE) in patients with ovarian cancer is higher than most solid tumors, ranging between 10–30%, and a diagnosis of VTE in this patient population is associated with worse oncologic outcomes. The tumor-specific molecular factors that may lead to the development of VTE are not well understood. Objectives: The aim of this study was to identify molecular features present in ovarian tumors of patients with VTE compared to those without. Methods: We performed a multiplatform omics analysis incorporating RNA and DNA sequencing, quantitative proteomics, as well as immune cell profiling of high-grade serous ovarian carcinoma (HGSC) samples from a cohort of 32 patients with or without VTE. Results: Pathway analyses revealed upregulation of both inflammatory and coagulation pathways in the VTE group. While DNA whole-exome sequencing failed to identify significant coding alterations between the groups, the results of an integrated proteomic and RNA sequencing analysis indicated that there is a relationship between VTE and the expression of platelet-derived growth factor subunit B (PDGFB) and extracellular proteins in tumor cells, namely collagens, that are correlated with the formation of thrombosis. Conclusions: In this comprehensive analysis of HGSC tumor tissues from patients with and without VTE, we identified markers unique to the VTE group that could contribute to development of thrombosis. Our findings provide additional insights into the molecular alterations underlying the development of VTE in ovarian cancer patients and invite further investigation into potential predictive biomarkers of VTE in ovarian cancer.

Circ TYMP1 Inhibits Carcinogenesis and Cisplatin Resistance in Ovarian Cancer by Reducing Smad2/3 Phosphorylation via a MicroRNA-182A-3p/TGF1B Axis.

TYMP1 is a cancer driver in several human malignancies. However, its significance in ovarian cancer (ovarian carcinoma) remains uncertain. This research aims to understand the TYMP1's role in ovarian carcinoma carcinogenesis and cisplatin (DDP) resistance and its molecular ovarian marchionesses. Circ TYMP1 overexpression in ovarian carcinoma samples led to an accelerated tumor stage. Bioinformatics identified miR-182A-3p as the TYMP1's target transcript. Circ TYMP1 functioned as a sponge for miR-182A-3p, lowering its inhibitory effect on TGF1B. Downregulating circ TYMP1 decreased A2780-Res cell proliferation, invasion, and death resistance. Malignant ovarian carcinoma cells recovered following miR-182A-3p downregulation. TGF1B overexpression boosted A2780-Res cell proliferation, aggression, and cisplatin resistance while reducing Smad2/3 phosphorylation. TYMP1 sequesters miR-182A-3p and promotes TGF1B in ovarian carcinoma, boosting carcinogenesis and cisplatin resistance. This might lead to novel ovarian carcinoma treatments.

Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers

Accumulating evidence has recognized that cancer-associated fibroblasts (CAFs) are major players in the desmoplastic stroma of ovarian cancer, modulating tumor progression and therapeutic response. However, it is unclear regarding the signatures of CAFs could be utilized to predict the clinical outcomes of ovarian cancer patients. To fill in this gap, we explored the intratumoral compartment of ovarian cancer by analyzing the single-cell RNA-sequencing (scRNA-seq) datasets of ovarian carcinoma samples, and identified two distinct CAFs (tumor-promoting CAF_c1 subtype and myofibroblasts-like CAF_c2 subtype). The clinical significance of CAF subtypes was further validated in The Cancer Genomics Atlas (TCGA) database and other independent immunotherapy response datasets, and the results revealed that the patients with a higher expression of CAF_c1 signatures had a worse prognosis and showed a tendency of resistance to immunotherapy. This work uncovered the signatures of the CAF_c1 subtype that could serve as a novel prognostic indicator and predictive marker for immunotherapy.

SPECIFICS OF EXPRESSION OF ESTROGEN, PROGESTERONE AND ANDROGEN RECEPTORS IN HEREDITARY AND SPORADIC OVARIAN CARCINOMAS

Background. Ovarian cancer is a complex heterogenic disease with various clinical and morphological subtypes. Most ovarian neoplasms express estrogen (ER), progesterone (PR) and androgen (AR) receptors, but unlike the situation with breast cancer, these data are not currently used in clinical practice. Purpose of research. To study the prognostic value of morphological and some immunohistochemical markers in ovarian carcinoma and to establish unfavorable variants of sex steroid hormones expression, which require individualization of treatment. Material and methods. Using immunohistochemical methods, we assessed the expression of receptors for estrogens, progesterone and androgens in ovarian carcinoma samples obtained from 79 patients. We studied the relationship of neoplasm receptor status with survival, disease stage, neoplasm differentiation, BRCA1 status, patient age, type of treatment, hypothesizing that the level of receptor expression and disease prognosis will differ in subgroups. Results. Receptor expression and its predictive value were assessed separately for each immunohistochemical marker. As many as 32 neoplasms were ER-positive (40.5%), 13 (16.5%) were PR-positive, and 29 (40%) were AR- positive. The survival curves for all patients with different expression of hormone receptors in the neoplasm were identical and, when compared, demonstrated a median progression-free survival (PFS) of 19 months and a median overall survival (OS) of 37 months. An improved prognosis was observed in patients with AR-positive neoplasms. A positive effect on the prognosis occurred in the absence of ER expression in the neoplasm. The medians of PFS and OS with ER-negative neoplasm status in these groups were more than 6 months higher. Conclusion. The analysis of morphological, clinical and immunohistochemical data and their impact on the prognosis showed similar results in all subgroups. An improved prognosis was observed in patients with ER-negative and RA-positive neoplasms. Thus, our study established the impact of ER and AR expression in ovarian carcinoma on the prognosis for life. Determination of the receptor status of the ovarian neoplasm will allow stratification of patients into groups according to this characteristic and further studies of the effectiveness of hormonal therapy in ovarian carcinoma.

176P Type of TP53 alteration may correlate with the extent of lymphocytic infiltration in high-grade serous ovarian carcinomas

176P Type of TP53 alteration may correlate with the extent of lymphocytic infiltration in high-grade serous ovarian carcinomas