High-grade Serous Ovarian Carcinoma Tumors Research Articles

PTEN loss shapes macrophage dynamics in high grade serous ovarian carcinoma.

High-grade serous ovarian carcinoma (HGSC) remains a disease of poor prognosis that is unresponsive to current immune checkpoint inhibitors. Although PI3K pathway alterations, such as PTEN loss, are common in HGSC, attempts to target this pathway have been unsuccessful. We hypothesized that aberrant PI3K pathway activation may alter the HGSC immune microenvironment and present a targeting opportunity. Single-cell RNA sequencing identified populations of resident macrophages specific to Pten-null omental tumors in murine models, which were confirmed by flow cytometry. These macrophages derived from peritoneal fluid macrophages and had a unique gene expression program, marked by high expression of the enzyme heme oxygenase-1 (HMOX1). Targeting resident peritoneal macrophages prevented the appearance of HMOX1hi macrophages and reduced tumor growth. Furthermore, direct inhibition of HMOX1 extended survival in vivo. RNA sequencing identified IL33 in Pten-null tumor cells as a likely candidate driver leading to the appearance of HMOX1hi macrophages. Human HGSC tumors also contained HMOX1hi macrophages with a corresponding gene expression program. Moreover, the presence of these macrophages correlated with activated tumoral PI3K/mTOR signaling and poor overall survival in HGSC patients. In contrast, tumors with low numbers of HMOX1hi macrophages were marked by increased adaptive immune response gene expression. These data suggest targeting HMOX1hi macrophages as a potential therapeutic strategy for treating poor prognosis HGSC.

B cells critical for outcome in high grade serous ovarian carcinoma.

Recent work has shown evidence for the prognostic significance of tumor infiltrating B cells (B-TIL) in high grade serous ovarian carcinoma (HGSOC), the predominant histological subtype of ovarian cancer. However, it remains unknown how the favorable prognosis associated with B-TIL relates to the current standard treatments of primary debulking surgery (PDS) followed by chemotherapy or (neo-)adjuvant chemotherapy (NACT) combined with interval debulking surgery. To address this, we analyzed the prognostic impact of B-TIL in relationship to primary treatment and tumor infiltrating T cell status in a highly homogenous cohort of HGSOC patients. This analysis involved a combined approach utilizing histological data and high-dimensional flow cytometry analysis. Our findings indicate that while HGSOC tumors pre-treated with NACT are infiltrated with tumor-reactive CD8+ and CD4+ TIL subsets, only B-TIL and IgA plasma blasts confer prognostic benefit in terms of overall survival. Importantly, the prognostic value of B-TIL and IgA plasma blasts was not restricted to patients treated with NACT, but was also evident in patients treated with PDS. Together, our data point to a critical prognostic role for B-TIL in HGSOC patients independent of T cell status, suggesting that alternative treatment approaches focused on the activation of B cells should be explored for HGSOC.

Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence–Detected Prognostic Regions in High-Grade Serous Carcinoma

Image-based deep learning models are used to extract new information from standard hematoxylin and eosin pathology slides; however, biological interpretation of the features detected by artificial intelligence (AI) remains a challenge. High-grade serous carcinoma of the ovary (HGSC) is characterized by aggressive behavior and chemotherapy resistance, but also exhibits striking variability in outcome. Our understanding of this disease is limited, partly due to considerable tumor heterogeneity. We previously trained an AI model to identify HGSC tumor regions that are highly associated with outcome status but are indistinguishable by conventional morphologic methods. Here, we applied spatially resolved transcriptomics to further profile the AI-identified tumor regions in 16 patients (8 per outcome group) and identify molecular features related to disease outcome in patients who underwent primary debulking surgery and platinum-based chemotherapy. We examined formalin-fixed paraffin-embedded tissue from (1) regions identified by the AI model as highly associated with short or extended chemotherapy response, and (2) background tumor regions (not identified by the AI model as highly associated with outcome status) from the same tumors. We show that the transcriptomic profiles of AI-identified regions are more distinct than background regions from the same tumors, are superior in predicting outcome, and differ in several pathways including those associated with chemoresistance in HGSC. Further, we find that poor outcome and good outcome regions are enriched by different tumor subpopulations, suggesting distinctive interaction patterns. In summary, our work presents proof of concept that AI-guided spatial transcriptomic analysis improves recognition of biologic features relevant to patient outcomes.

EM-transcriptomic signature predicts drug response in advanced stages of high-grade serous ovarian carcinoma based on ascites-derived primary cultures.

Introduction: High-grade serous ovarian carcinoma (HGSOC) remains a medical challenge despite considerable improvements in the treatment. Unfortunately, over 75% of patients have already metastasized at the time of diagnosis. Advances in understanding the mechanisms underlying how ascites cause chemoresistance are urgently needed to derive novel therapeutic strategies. This study aimed to identify the molecular markers involved in drug sensitivity and highlight the use of ascites as a potential model to investigate HGSOC treatment options. Methods: After conducting an in silico analysis, eight epithelial-mesenchymal (EM)-associated genes related to chemoresistance were identified. To evaluate differences in EM-associated genes in HGSOC samples, we analyzed ascites-derived HGSOC primary cell culture (AS), tumor (T), and peritoneal nodule (NP) samples. Moreover, in vitro experiments were employed to measure tumor cell proliferation and cell migration in AS, following treatment with doxorubicin (DOX) and cisplatin (CIS) and expression of these markers. Results: Our results showed that AS exhibits a mesenchymal phenotype compared to tumor and peritoneal nodule samples. Moreover, DOX and CIS treatment leads to an invasive-intermediate epithelial-to-mesenchymal transition (EMT) state of the AS by different EM-associated marker expression. For instance, the treatment of AS showed that CDH1 and GATA6 decreased after CIS exposure and increased after DOX treatment. On the contrary, the expression of KRT18 has an opposite pattern. Conclusion: Taken together, our study reports a comprehensive investigation of the EM-associated genes after drug exposure of AS. Exploring ascites and their associated cellular and soluble components is promising for understanding the HGSOC progression and treatment response at a personalized level.

Identification of stably expressed microRNAs in plasma from high-grade serous ovarian carcinoma and benign tumor patients

BackgroundOvarian cancer is a lethal gynecological cancer and no reliable minimally invasive early diagnosis tools exist. High grade serous ovarian carcinoma (HGSOC) is often diagnosed at advanced stages, resulting in poorer outcome than those diagnosed in early stage. Circulating microRNAs have been investigated for their biomarker potential. However, due to lack of standardization methods for microRNA detection, there is no consensus, which microRNAs should be used as stable endogenous controls. We aimed to identify microRNAs that are stably expressed in plasma of HGSOC and benign ovarian tumor patients.Methods and resultsWe isolated RNA from plasma samples of 60 HGSOC and 48 benign patients. RT-qPCR was accomplished with a custom panel covering 40 microRNAs and 8 controls. Stability analysis was performed using five algorithms: Normfinder, geNorm, Delta-Ct, BestKeeper and RefFinder using an R-package; RefSeeker developed by our study group [1]. Among 41 analyzed RNAs, 13 were present in all samples and eligible for stability analysis. Differences between stability rankings were observed across algorithms. In HGSOC samples, hsa-miR-126-3p and hsa-miR-23a-3p were identified as the two most stable miRNAs. In benign samples, hsa-miR-191-5p and hsa-miR-27a-3p were most stable. In the combined HGSOC and benign group, hsa-miR-23a-3p and hsa-miR-27a-3p were identified by both the RefFinder and Normfinder analysis as the most stable miRNAs.ConclusionsConsensus regarding normalization approaches in microRNA studies is needed. The choice of endogenous microRNAs used for normalization depends on the histological content of the cohort. Furthermore, normalization also depends on the algorithms used for stability analysis.

A B7-H4-Targeting Antibody-Drug Conjugate Shows Antitumor Activity in PARPi and Platinum-Resistant Cancers with B7-H4 Expression.

Platinum and PARP inhibitors (PARPi) demonstrate activity in breast and ovarian cancers, but drug resistance ultimately emerges. Here, we examine B7-H4 expression in primary and recurrent high-grade serous ovarian carcinoma (HGSOC) and the activity of a B7-H4-directed antibody-drug conjugate (B7-H4-ADC), using a pyrrolobenzodiazepine-dimer payload, in PARPi- and platinum-resistant HGSOC patient-derived xenograft (PDX) models. B7-H4 expression was quantified by flow cytometry and IHC. B7-H4-ADC efficacy was tested against multiple cell lines in vitro and PDX in vivo. The effect of B7-H4-ADC on cell cycle, DNA damage, and apoptosis was measured using flow cytometry. B7-H4 is overexpressed in 92% of HGSOC tumors at diagnosis (n = 12), persisted in recurrent matched samples after platinum treatment, and was expressed at similar levels across metastatic sites after acquired multi-drug resistance (n = 4). Treatment with B7-H4-ADC resulted in target-specific growth inhibition of multiple ovarian and breast cancer cell lines. In platinum- or PARPi-resistant ovarian cancer cells, B7-H4-ADC significantly decreased viability and colony formation while increasing cell-cycle arrest and DNA damage, ultimately leading to apoptosis. Single-dose B7-H4-ADC led to tumor regression in 65.5% of breast and ovarian PDX models (n = 29), with reduced activity in B7-H4 low or negative models. In PARPi and platinum-resistant HGSOC PDX models, scheduled B7-H4-ADC dosing led to sustained tumor regression and increased survival. These data support B7-H4 as an attractive ADC target for treatment of drug-resistant HGSOC and provide evidence for activity of an ADC with a DNA-damaging payload in this population. See related commentary by Veneziani et al., p. 1434.

Combining Mass Cytometry Data by CyTOFmerge Reveals Additional Cell Phenotypes in the Heterogeneous Ovarian Cancer Tumor Microenvironment: A Pilot Study.

The prognosis of high-grade serous ovarian carcinoma (HGSOC) is poor, and treatment selection is challenging. A heterogeneous tumor microenvironment (TME) characterizes HGSOC and influences tumor growth, progression, and therapy response. Better characterization with multidimensional approaches for simultaneous identification and categorization of the various cell populations is needed to map the TME complexity. While mass cytometry allows the simultaneous detection of around 40 proteins, the CyTOFmerge MATLAB algorithm integrates data sets and extends the phenotyping. This pilot study explored the potential of combining two datasets for improved TME phenotyping by profiling single-cell suspensions from ten chemo-naïve HGSOC tumors by mass cytometry. A 35-marker pan-tumor dataset and a 34-marker pan-immune dataset were analyzed separately and combined with the CyTOFmerge, merging 18 shared markers. While the merged analysis confirmed heterogeneity across patients, it also identified a main tumor cell subset, additionally to the nine identified by the pan-tumor panel. Furthermore, the expression of traditional immune cell markers on tumor and stromal cells was revealed, as were marker combinations that have rarely been examined on individual cells. This study demonstrates the potential of merging mass cytometry data to generate new hypotheses on tumor biology and predictive biomarker research in HGSOC that could improve treatment effectiveness.

Abstract 1133: A B7-H4 targeting antibody-drug conjugate shows anti-tumor activity in PARPi and platinum resistant cancers with B7-H4 expression

Abstract Purpose: Platinum and PARP inhibitors (PARPi) demonstrate activity in breast and ovarian cancers, but drug resistance ultimately emerges. B7-H4 is over expressed in breast and ovarian cancer compared to normal tissues making it a promising target for therapies, however, to date it has not been evaluated if the expression is maintained in drug resistant cancer. Here we examine B7-H4 expression in high grade serous ovarian carcinoma (HGSOC) tumors at diagnosis and post-platinum or PARPi-resistance. We also evaluate the activity of a novel B7-H4-directed antibody-drug conjugate (ADC) bearing the pyrrolobenzodiazepine-dimer payload tesirine, in preclinical models of breast and ovarian cancer, including those resistant to standard of care therapies. Experimental Design: B7-H4 expression was measured by quantitative flow cytometry and immunohistochemistry. ADC efficacy was tested against multiple cell lines in vitro and patient-derived xenografts (PDX) in vivo. The effect of ADC treatment on cell cycle, DNA damage, and apoptosis was measured using flow cytometry. Results: B7-H4 was over-expressed in 92% of HGSOC tumors at diagnosis (n = 12), persisted in recurrent matched samples after platinum treatment, and was expressed at similar levels at multiple metastatic sites after acquired multi-drug resistance (n = 4 donors). Treatment with the ADC resulted in target-specific growth inhibition in a panel of ten B7-H4 expressing ovarian and breast cancer cell lines (IC50 6.18-273.9 pM, median 48.3 pM). Co-cultures of B7-H4 +/- lines support bystander killing effects leading to further tumor cell death in B7-H4- clones. In platinum- or PARPi-resistant ovarian cancer cells, ADC treatment significantly decreased viability and colony formation (P < 0.001) while increasing S or G2/M phase cell cycle arrest (P < 0.001) and DNA damage (P < 0.0001), ultimately leading to apoptosis (P < 0.01). A single 0.3 mg/kg dose of the ADC resulted in tumor regression in 61% of breast and ovarian PDX models tested (n = 23), where lower activity was identified in B7-H4 low or negative expressing models (P = 0.048). In PARPi- and platinum-resistant HGSOC models (n = 3), continuous B7-H4 ADC treatment (dosed once every 28 days) resulted in sustained anti-tumor activity, leading to complete (7 of 16) or partial responses (3 of 16) and increased survival (P < 0.004). Conclusions: These data support B7-H4 as an attractive ADC target for treatment of drug-resistant HGSOC. Citation Format: Sarah B. Gitto, Margaret Whicker, Gareth Davies, Sushil Kumar, Krista Kinneer, Arthur Lewis, Srinivas Mamidi, Sergey Medvedev, Judith Anderton, Jessica Tang, Benjamin Ferman, Steve Coats, Robert W. Wilkinson, Eric J. Brown, Daniel J. Powell, Fiona Simpkins. A B7-H4 targeting antibody-drug conjugate shows anti-tumor activity in PARPi and platinum resistant cancers with B7-H4 expression [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 1133.

Combined thioredoxin reductase and glutaminase inhibition exerts synergistic anti-tumor activity in MYC-high high-grade serous ovarian carcinoma

Approximately 50%-55% of high-grade serous ovarian carcinoma (HGSOC) patients have MYC oncogenic pathway activation. Because MYC is not directly targetable, we have analyzed molecular pathways enriched in MYC-high HGSOC tumors toidentify potential therapeutic targets. Here, we report thatMYC-high HGSOC tumors show enrichment in genes controlled by NRF2, an antioxidant signaling pathway, along with increased thioredoxin redox activity. Treatment of MYC-high HGSOC tumors cells with US Food and Drug Administration (FDA)-approved thioredoxin reductase 1 (TrxR1) inhibitor auranofin resulted in significant growth suppression and apoptosis in MYC-high HGSOC cells invitro and also significantly reduced tumor growth in an MYC-high HGSOC patient-derived tumor xenograft. We found that auranofin treatment inhibited glycolysis in MYC-high cells via oxidation-induced GAPDH inhibition. Interestingly, in response to auranofin-induced glycolysis inhibition, MYC-high HGSOC cells switched to glutamine metabolism for survival. Depletion of glutamine with either glutamine starvation or glutaminase (GLS1) inhibitor CB-839 exerted synergistic anti-tumor activity with auranofin in HGSOC cells and OVCAR-8 cell line xenograft. These findings suggest that applying a combined therapy of GLS1 inhibitor and TrxR1 inhibitor could effectively treat MYC-high HGSOC patients.

Search for New Participants in the Pathogenesis of High-Grade Serous Ovarian Cancer with the Potential to Be Used as Diagnostic Molecules.

Recent studies have attempted to develop molecular signatures of epithelial ovarian cancer (EOC) based on the quantitation of protein-coding and non-coding RNAs to predict disease prognosis. Due to the heterogeneity of EOC, none of the developed prognostic signatures were directly applied in clinical practice. Our work focuses on high-grade serous ovarian carcinoma (HGSOC) due to the highest mortality rate relative to other types of EOC. Using deep sequencing of small non-coding RNAs in combination with quantitative real-time PCR, we confirm the dualistic classification of epithelial ovarian cancers based on the miRNA signature of HGSOC (type 2), which differs from benign cystadenoma and borderline cystadenoma-precursors of low-grade serous ovarian carcinoma (type 1)-and identified two subtypes of HGSOC, which significantly differ in the level of expression of the progesterone receptor in the tumor tissue, the secretion of miR-16-5p, miR-17-5p, miR-93-5p, miR-20a-5p, the level of serum CA125, tumor size, surgical outcome (optimal or suboptimal cytoreduction), and response to chemotherapy. It was found that the combined determination of the level of miR-16-5p, miR-17-5p, miR-20a-5p, and miR-93-5p circulating in blood plasma of patients with primary HGSOC tumors makes it possible to predict optimal cytoreduction with 80.1% sensitivity and 70% specificity (p = 0.022, TPR = 0.8, FPR = 0.3), as well as complete response to adjuvant chemotherapy with 77.8% sensitivity and 90.9% specificity (p = 0.001, TPR = 0.78, FPR = 0.09). After the additional verification of the obtained data in a larger HGSOC patient cohort, the combined quantification of these four miRNAs is proposed to be used as a criterion for selecting patients either for primary cytoreduction or neoadjuvant chemotherapy followed by interval cytoreduction.

Comparing Intraperitoneal and Intravenous Personalized ErbB2CAR-T for the Treatment of Epithelial Ovarian Cancer.

High-grade serous ovarian carcinoma (HGSOC) is the most common type of epithelial ovarian cancer. The majority of cases are diagnosed at advanced stages, when intraperitoneal (IP) spread has already occurred. Despite significant surgical and chemotherapeutic advances in HGSOC treatment over the past decades, survival rates with HGSOC have only modestly improved. Chimeric antigen receptor (CAR)-T cells enable T cells to directly bind to tumor-associated antigens in a major histocompatibility complex-independent manner, thereby inducing tumor rejection. While CAR-T cell therapy shows great promise in hematological malignancies, its use in solid tumors is limited. Therefore, innovative approaches are needed to increase the specificity of CAR-modified T cells against solid tumors. The aim of this study was to assess the efficacy and safety of intraperitoneal (IP) versus intravenous (IV) CAR-T cell therapy in the treatment of HGSOC. We constructed a CAR that targets the ErbB2/HER2 protein (ErbB2CAR), which is overexpressed in HGSOC, and evaluated the functionality of ErbB2CAR on ovarian cancer cell lines (OVCAR8, SKOV3, and NAR). Our findings show that an IP injection of ErbB2CAR-T cells to tumor-bearing mice led to disease remission and increased survival compared to the IV route. Moreover, we found that IP-injected ErbB2CART cells circulate to a lesser extent, making them safer for non-tumor tissues than IV-injected cells. Further supporting our findings, we show that the effect of ErbB2CAR-T cells on primary HGSOC tumors is correlated with ErbB2 expression. Together, these data demonstrate the advantages of an IP administration of CAR-T cells over IV administration, offering not only a safer strategy but also the potential for counteracting the effect of ErbB2CAR in HGSOC. Significance: IP-injected ErbB2CAR-T cells led to disease remission and increased survival compared to the IV route. These findings demonstrate the advantages of IP administration, offering a safe treatment strategy with the potential for counteracting the effect of ErbB2CAR in HGSOC.

A Multistep Tumor Growth Model of High-Grade Serous Ovarian Carcinoma Identifies Hypoxia-Associated Signatures

High-grade serous ovarian carcinoma (HGSC) is associated with late-stage disease presentation and poor prognosis, with a limited understanding of early transformation events. Our study analyzes HGSC tumor progression and organ-specific metastatic dissemination to identify hypoxia-associated molecular, cellular, and histological alterations. Clinical characteristics of the HGSC were replicated in orthotopic xenografts, which involve metastatic dissemination and the prevalence of group B tumors (volume: >0.0625 ≤ 0.5 cm³). Enhanced hyaluronic acid (HA) deposition, expanded tumor vasculature, and increased necrosis contributed to the remodeling of tumor tissue architecture. The proliferative potential of tumor cells and the ability to form glands were also altered during tumor growth. Flow cytometry and label chase-based molecular profiling across the tumor regenerative hierarchy identified the hypoxia-vasculogenic niche and the hybrid epithelial-mesenchymal tumor-cell state as determinants of self-renewal capabilities of progenitors and cancer stem cells. A regulatory network and mathematical model based on tumor histology and molecular signatures predicted hypoxia-inducible factor 1-alpha (HIF1A) as a central node connecting HA synthesis, epithelial-mesenchymal transition, metabolic, vasculogenic, inflammatory, and necrotic pathways in HGSC tumors. Thus, our findings provide a temporal resolution of hypoxia-associated events that sculpt HGSC tumor growth; an in-depth understanding of it may aid in the early detection and treatment of HGSC.

Defining the impact of Chromobox 2 on the immune tumor microenvironment of high grade serous ovarian carcinoma (092)

Objectives: Chromobox 2 (CBX2), an epigenetic writer and subunit of Polycomb Repressor Complex 1 (PRC1), is associated with poor survival and chemoresistance in high-grade serous ovarian carcinoma (HGSOC). In prostate cancer, PRC1 drives an immunosuppressive tumor microenvironment (TME) via induction of CCL2 and recruitment of tumor-associated macrophages (TAMs). We sought to define the impact of genetic modulation of CBX2 on the immune tumor microenvironment (TME) in HGSOC. Methods: We performed lentiviral transduction of shCBX2 in HGSOC cells (OVCAR4). Knockdown was confirmed using immunoblot and mRNA expression via qPCR. RNA sequencing of shControl and shCBX2 cells was performed. Using an ID8 syngeneic mouse model (Trp53-/-, Brca2-/-), we inoculated five mice with either ID8 shControl, ID8 shCbx2/1, or ID8 shCbx2 and allowed tumors to develop. Tumors and ascites volume were measured. The NanoString Mouse Immune Oncology 360 panel was performed on both shControl and shCbx2 tumors to identify differential immune signatures. Multi-spectral immunohistochemistry (mIHC) was performed on 126 human-derived HGSOC tumors to define the relationship between CBX2 and macrophage infiltration. Using The Cancer Genome Atlas (TCGA) and the TIMERv2 platform, we evaluated correlations among CBX2, CCL2, and TAMs. Statistics were completed with ANOVA with Turkey correlation or Pearson, as indicated. A p-value of < 0.05 deemed significant. Conclusions: CBX2 remodels the TME of HGSOC to a more immunosuppressive state. Our data suggest this may be due to increased CCL2 and CXCL16-mediated macrophage activity in the tumor. Loss of CBX2 is associated with decreased levels of CCL2 and CXCL16, as well as inhibited tumor progression. CBX2 has the potential to serve as a novel therapeutic target and could optimize current immunotherapy. Objectives: Chromobox 2 (CBX2), an epigenetic writer and subunit of Polycomb Repressor Complex 1 (PRC1), is associated with poor survival and chemoresistance in high-grade serous ovarian carcinoma (HGSOC). In prostate cancer, PRC1 drives an immunosuppressive tumor microenvironment (TME) via induction of CCL2 and recruitment of tumor-associated macrophages (TAMs). We sought to define the impact of genetic modulation of CBX2 on the immune tumor microenvironment (TME) in HGSOC. Methods: We performed lentiviral transduction of shCBX2 in HGSOC cells (OVCAR4). Knockdown was confirmed using immunoblot and mRNA expression via qPCR. RNA sequencing of shControl and shCBX2 cells was performed. Using an ID8 syngeneic mouse model (Trp53-/-, Brca2-/-), we inoculated five mice with either ID8 shControl, ID8 shCbx2/1, or ID8 shCbx2 and allowed tumors to develop. Tumors and ascites volume were measured. The NanoString Mouse Immune Oncology 360 panel was performed on both shControl and shCbx2 tumors to identify differential immune signatures. Multi-spectral immunohistochemistry (mIHC) was performed on 126 human-derived HGSOC tumors to define the relationship between CBX2 and macrophage infiltration. Using The Cancer Genome Atlas (TCGA) and the TIMERv2 platform, we evaluated correlations among CBX2, CCL2, and TAMs. Statistics were completed with ANOVA with Turkey correlation or Pearson, as indicated. A p-value of < 0.05 deemed significant. Conclusions: CBX2 remodels the TME of HGSOC to a more immunosuppressive state. Our data suggest this may be due to increased CCL2 and CXCL16-mediated macrophage activity in the tumor. Loss of CBX2 is associated with decreased levels of CCL2 and CXCL16, as well as inhibited tumor progression. CBX2 has the potential to serve as a novel therapeutic target and could optimize current immunotherapy.

The STING pathway: Therapeutic vulnerabilities in ovarian cancer.

Ovarian cancer is the leading cause of mortality due to gynecologic malignancy. The majority ofwomen diagnosed with the most common subtype, high-grade serous ovarian carcinoma (HGSC), develop resistance to conventional therapies despite initial response to treatment. HGSC tumors displaying DNA damage repair (DDR) gene deficiency and high chromosomal instability mainly associate with higher cytotoxic immune cell infiltration and expression of genes associated with these immune pathways. Despite the high level of immune infiltration observed, the majority of patients with HGSC have not benefited from immunomodulatory treatments as the mechanistic basis of this infiltration is unclear. This lack of response can be primarily attributed to heterogeneity at the levels of both cancer cell genetic alterations and the tumour immune microenvironment. Strategies to enhance anti-tumour immunity have been investigated in ovarian cancer, of which interferon activating therapies present as an attractive option. Of the several type I interferon (IFN-1) stimulating therapies, exogenously activating the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway is emerging as a promising avenue. Herein, we highlight our current understanding of how constitutive and induced cGAS-STING pathway activation influences the ovarian tumour microenvironment. We further elaborate on the links between the genomic alterations prevalent in ovarian tumours and how the resultant immune phenotypes can make them more susceptible to exogenous STING pathway activation and potentiate immune-mediated killing of cancer cells. The therapeutic potential of cGAS-STING pathway activation in ovarian cancer and factors implicating treatment outcomes are discussed, providing a rationale for future combinatorial treatment approaches on the backbone of chemotherapy.

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.

Spatially resolved transcriptomics of high-grade serous ovarian carcinoma

SummaryBulk and single-cell RNA sequencing do not provide full characterization of tissue spatial diversity in cancer samples, and currently available in situ techniques (multiplex immunohistochemistry and imaging mass cytometry) allow for only limited analysis of a small number of targets. The current study represents the first comprehensive approach to spatial transcriptomics of high-grade serous ovarian carcinoma using intact tumor tissue. We selected a small cohort of patients with highly annotated high-grade serous ovarian carcinoma, categorized them by response to neoadjuvant chemotherapy (poor or excellent), and analyzed pre-treatment tumor tissue specimens. Our study uncovered extensive differences in tumor composition between the poor responders and excellent responders to chemotherapy, related to cell cluster organization and localization. This in-depth characterization of high-grade serous ovarian carcinoma tumor tissue from poor and excellent responders showed that spatial interactions between cell clusters may influence chemo-responsiveness more than cluster composition alone.

ACSM3 suppresses the pathogenesis of high-grade serous ovarian carcinoma via promoting AMPK activity.

Ovarian carcinoma is the fifth commonest malignancy in females and exhibits a high recurrence rate. High-grade serous ovarian carcinoma (HGSOC) is the main histologic subtype. It displays extensive genetic heterogeneity. Here, we aimed to identify potential therapeutic targets for HGSOC. Both bioinformatic data from TCGA and 73 pairs of tumor and normal samples from patients were analyzed to reveal the expression level of ACSM3 in HGSOC. Next, cellular and animal experiments, including cell proliferation, colony formation andxenograftassays were performed to explore the suppressive function of ACSM3. Finally, biochemical methods, AMP/ATP ratiomeasurements and Western blotting were used to elucidate the mechanismunderlying the ACSM3-AMPK axis in HGSOC. After analyzing transcriptome data of TCGA HGSOC samples, we found that ACSM3 is down-regulated in patient samples compared with normal controls. This observation was validated using data from primary clinical samples. Proliferation, soft agar colony formation and xenograft assays revealed that ACSM3 is able to suppress HGSOC tumor growth both in vitro and in vivo. Moreover, we found that ACSM3 overexpression increased the AMP/ATP ratio and the phosphorylation level of AMPK at threonine 172. In addition, we found that AMPK silencing in EFO21 and SKOV3 cells completely abolished the anti-oncogenic effect of ACSM3. Our data indicate that the ACSM3-AMPK axis is involved in the pathogenesis of HGSOC and, as such, may act as a therapeutic target for this cancer.

Senescence induction dictates response to chemo- and immunotherapy in preclinical models of ovarian cancer

High-grade serous ovarian carcinoma (HGSOC) is a cancer with dismal prognosis due to the limited effectiveness of existing chemo- and immunotherapies. To elucidate mechanisms mediating sensitivity or resistance to these therapies, we developed a fast and flexible autochthonous mouse model based on somatic introduction of HGSOC-associated genetic alterations into the ovary of immunocompetent mice using tissue electroporation. Tumors arising in these mice recapitulate the metastatic patterns and histological, molecular, and treatment response features of the human disease. By leveraging these models, we show that the ability to undergo senescence underlies the clinically observed increase in sensitivity of homologous recombination (HR)-deficient HGSOC tumors to platinum-based chemotherapy. Further, cGas/STING-mediated activation of a restricted senescence-associated secretory phenotype (SASP) was sufficient to induce immune infiltration and sensitize HR-deficient tumors to immune checkpoint blockade. In sum, our study identifies senescence propensity as a predictor of therapy response and defines a limited SASP profile that appears sufficient to confer added vulnerability to concurrent immunotherapy and, more broadly, provides a blueprint for the implementation of electroporation-based mouse models to reveal mechanisms of oncogenesis and therapy response in HGSOC.

Intra-Tumoral Nerve-Tracing in a Novel Syngeneic Model of High-Grade Serous Ovarian Carcinoma.

Dense tumor innervation is associated with enhanced cancer progression and poor prognosis. We observed innervation in breast, prostate, pancreatic, lung, liver, ovarian, and colon cancers. Defining innervation in high-grade serous ovarian carcinoma (HGSOC) was a focus since sensory innervation was observed whereas the normal tissue contains predominantly sympathetic input. The origin, specific nerve type, and the mechanisms promoting innervation and driving nerve-cancer cell communications in ovarian cancer remain largely unknown. The technique of neuro-tracing enhances the study of tumor innervation by offering a means for identification and mapping of nerve sources that may directly and indirectly affect the tumor microenvironment. Here, we establish a murine model of HGSOC and utilize image-guided microinjections of retrograde neuro-tracer to label tumor-infiltrating peripheral neurons, mapping their source and circuitry. We show that regional sensory neurons innervate HGSOC tumors. Interestingly, the axons within the tumor trace back to local dorsal root ganglia as well as jugular–nodose ganglia. Further manipulations of these tumor projecting neurons may define the neuronal contributions in tumor growth, invasion, metastasis, and responses to therapeutics.

Expression of B7–H4 and IDO1 is associated with drug resistance and poor prognosis in high-grade serous ovarian carcinomas

High-grade serous ovarian carcinoma (HGSC) is the most lethal gynecologic malignancy. While immune checkpoint inhibitors against PD-L1 and CTLA-4 have shown significant effects in multiple tumor types, the response rate to single-agent immune checkpoint inhibitors is low in HGSC. Alternative biomarkers and targets must be identified to guide patient selection and new therapeutic strategies in HGSC. Here, we aim to investigate the clinical significance of novel immune modulators, including B7-H4, IDO1, Tim3, IL6, and IL-8, in patients with HGSC. A total of 48 patients with HGSCs, comprising 24 cases that were sensitive and 24 that were resistant to standard paclitaxel and carboplatin chemotherapy, were selected for our initial analysis. A NanoString assay including 33 immune-related genes was used to compare the expression of different immune regulatory molecules in the sensitive and resistant groups. Differentially expressed proteins were verified using multiplex immunohistochemical staining on tissue arrays of 202 patients with HGSCs who underwent primary surgery at MDACC. We analyzed the expression levels of immune checkpoints and compared expression profiles with clinicopathologic features including response, progression-free survival, and overall survival. HGSC tumors resistant to therapy expressed higher levels of B7-H4 (69.3%), IDO1 (71.8%), Tim3 (89.1%), and inflammatory factors IL-6 and IL-8, and expressed higher Tim3 in stromal components. High expression of B7-H4 and IDO1 was associated with significantly lower overall survival and progression-free survival. B7-H4 and IDO1 were co-expressed in 49.1% of studied cases. A panel of immunomodulatory proteins including B7-H4, IDO1, Tim3, IL-6, and IL-8 are expressed at high levels in HGSCs. These modulators represent novel targets to enhance immunotherapy in patients with HGSCs.