5-Hydroxymethylcytosine signals in serum are a predictor of chemoresistance in high-grade serous ovarian cancer.

OBJECTIVE: The genome-wide profiling of 5-hydroxymethylcytosines (5hmC) on circulating cell-free DNA (cfDNA) has revealed promising biomarkers for various diseases. The purpose of this study was to investigate 5hmC signals in serum cfDNA and identify novel predictive biomarkers for the development of chemoresistance in high-grade serous ovarian cancer (HGSOC). We hypothesized that 5hmC profiles in cfDNA reflect the development of chemoresistance and elucidate pathways that may drive chemoresistance in HGSOC. Moreover, we sought to identify predictors that would better stratify outcomes for women with intermediate-sensitive HGSOC. METHODS: Women diagnosed with HGSOC and known platinum sensitivity status were selected for this study. Nano-hmC-Seal was performed on cfDNA isolated from archived serum samples, and differential 5hmC features were identified using DESeq2 to establish a model predictive of chemoresistance. RESULTS: A multivariate model consisting of three features (preoperative CA-125, largest residual implant after surgery, 5hmC level of OSGEPL), stratified samples from intermediate sensitive, chemo-naive women diagnosed with HGSOC into chemotherapy-resistant- and sensitive-like strata with a significant difference in overall survival (OS). Independent analysis of The Cancer Genome Atlas data further confirmed that high OSGEPL1 expression is a favorable prognostic factor for HGSOC. CONCLUSIONS: We have developed a novel multivariate model based on clinico-pathologic data and a cfDNA-derived 5hmC modified gene, OSGEPL1, that predicted response to platinum-based chemotherapy in intermediate-sensitive HGSOC. Our multivariate model applies to chemo-naïve samples regardless if the patint was treated with adjuvant or neoadjuvant chemotherapy. These results merit further investigation of the predictive capability of our model in larger cohorts.

Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression.

Serous borderline tumors (SBT) are epithelial neoplastic lesions of the ovaries that commonly have a good prognosis. In 10-15% of cases, however, SBT will recur as low-grade serous cancer (LGSC), which is deeply invasive and responds poorly to current standard chemotherapy1,2,3. While genetic alterations suggest a common origin, the transition from SBT to LGSC remains poorly understood4. Here, we integrate spatial proteomics5 with spatial transcriptomics to elucidate the evolution from SBT to LGSC and its corresponding metastasis at the molecular level in both the stroma and the tumor. We show that the transition of SBT to LGSC occurs in the epithelial compartment through an intermediary stage with micropapillary features (SBT-MP), which involves a gradual increase in MAPK signaling. A distinct subset of proteins and transcripts was associated with the transition to invasive tumor growth, including the neuronal splicing factor NOVA2, which was limited to expression in LGSC and its corresponding metastasis. An integrative pathway analysis exposed aberrant molecular signaling of tumor cells supported by alterations in angiogenesis and inflammation in the tumor microenvironment. Integration of spatial transcriptomics and proteomics followed by knockdown of the most altered genes or pharmaceutical inhibition of the most relevant targets confirmed their functional significance in regulating key features of invasiveness. Combining cell-type resolved spatial proteomics and transcriptomics allowed us to elucidate the sequence of tumorigenesis from SBT to LGSC. The approach presented here is a blueprint to systematically elucidate mechanisms of tumorigenesis and find novel treatment strategies.

Adipocytes reprogram cancer cell metabolism by diverting glucose towards glycerol-3-phosphate thereby promoting metastasis.

In the tumor microenvironment, adipocytes function as an alternate fuel source for cancer cells. However, whether adipocytes influence macromolecular biosynthesis in cancer cells is unknown. Here we systematically characterized the bidirectional interaction between primary human adipocytes and ovarian cancer (OvCa) cells using multi-platform metabolomics, imaging mass spectrometry, isotope tracing and gene expression analysis. We report that, in OvCa cells co-cultured with adipocytes and in metastatic tumors, a part of the glucose from glycolysis is utilized for the biosynthesis of glycerol-3-phosphate (G3P). Normoxic HIF1α protein regulates the altered flow of glucose-derived carbons in cancer cells, resulting in increased glycerophospholipids and triacylglycerol synthesis. The knockdown of HIF1α or G3P acyltransferase 3 (a regulatory enzyme of glycerophospholipid synthesis) reduced metastasis in xenograft models of OvCa. In summary, we show that, in an adipose-rich tumor microenvironment, cancer cells generate G3P as a precursor for critical membrane and signaling components, thereby promoting metastasis. Targeting biosynthetic processes specific to adipose-rich tumor microenvironments might be an effective strategy against metastasis.

Diagnostic Performance of Ultrasonography-Based Risk Models in Differentiating Between Benign and Malignant Ovarian Tumors in a US Cohort.

Importance: Ultrasonography-based risk models can help nonexpert clinicians evaluate adnexal lesions and reduce surgical interventions for benign tumors. Yet, these models have limited uptake in the US, and studies comparing their diagnostic accuracy are lacking. Objective: To evaluate, in a US cohort, the diagnostic performance of 3 ultrasonography-based risk models for differentiating between benign and malignant adnexal lesions: International Ovarian Tumor Analysis (IOTA) Simple Rules with inconclusive cases reclassified as malignant or reevaluated by an expert, IOTA Assessment of Different Neoplasias in the Adnexa (ADNEX), and Ovarian-Adnexal Reporting and Data System (O-RADS). Design, Setting, and Participants: This retrospective diagnostic study was conducted at a single US academic medical center and included consecutive patients aged 18 to 89 years with adnexal masses that were managed surgically or conservatively between January 2017 and October 2022. Exposure: Evaluation of adnexal lesions using the Simple Rules, ADNEX, and O-RADS. Main Outcomes and Measures: The main outcome was diagnostic performance, including area under the receiver operating characteristic (ROC) curve (AUC), sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. Surgery or follow-up were reference standards. Secondary analyses evaluated the models' performances stratified by menopause status and race. Results: The cohort included 511 female patients with a 15.9% malignant tumor prevalence (81 patients). Mean (SD) ages of patients with benign and malignant adnexal lesions were 44.1 (14.4) and 52.5 (15.2) years, respectively, and 200 (39.1%) were postmenopausal. In the ROC analysis, the AUCs for discriminative performance of the ADNEX and O-RADS models were 0.96 (95% CI, 0.93-0.98) and 0.92 (95% CI, 0.90-0.95), respectively. After converting the ADNEX continuous individualized risk into the discrete ordinal categories of O-RADS, the ADNEX performance was reduced to an AUC of 0.93 (95% CI, 0.90-0.96), which was similar to that for O-RADS. The Simple Rules combined with expert reevaluation had 93.8% sensitivity (95% CI, 86.2%-98.0%) and 91.9% specificity (95% CI, 88.9%-94.3%), and the Simple Rules combined with malignant classification had 93.8% sensitivity (95% CI, 86.2%-98.0%) and 88.1% specificity (95% CI, 84.7%-91.0%). At a 10% risk threshold, ADNEX had 91.4% sensitivity (95% CI, 83.0%-96.5%) and 86.3% specificity (95% CI, 82.7%-89.4%) and O-RADS had 98.8% sensitivity (95% CI, 93.3%-100%) and 74.4% specificity (95% CI, 70.0%-78.5%). The specificities of all models were significantly lower in the postmenopausal group. Subgroup analysis revealed high performances independent of race. Conclusions and Relevance: In this diagnostic study of a US cohort, the Simple Rules, ADNEX, and O-RADS models performed well in differentiating between benign and malignant adnexal lesions; this outcome has been previously reported primarily in European populations. Risk stratification models can lead to more accurate and consistent evaluations of adnexal masses, especially when used by nonexpert clinicians, and may reduce unnecessary surgeries.

Normal saline remodels the omentum and stimulates its receptivity for transcoelomic metastasis.

The omentum contains immune cell structures called milky spots that are niches for transcoelomic metastasis. It is difficult to remove the omentum completely, and there are no effective strategies to minimize the risk of colonization of preserved omental tissues by cancer cells that circulate in the peritoneal fluid. Normal saline is commonly administered into the peritoneal cavity for diagnostic and intraoperative lavage. Here we show that normal saline, when administered into the peritoneal cavity of mice, is prominently absorbed by the omentum, exfoliates its mesothelium, and induces expression of CX3CL1, the ligand for CX3CR1, within and surrounding the omental vasculature. Studies using CX3CR1-competent and CX3CR1-deficient mice showed that the predominant response in the omentum following saline administration is an accumulation of CX3CR1+ monocytes/macrophages that expand milky spots and promote neoangiogenesis within these niches. Moreover, saline administration promoted the implantation of cancer cells of ovarian and colorectal origin onto the omentum. By contrast, these deleterious effects were not observed following i.p. administration of lactated Ringer's solution. Our findings suggest that normal saline stimulates the receptivity of the omentum for cancer cells and that the risk of colonization can be minimized by using a biocompatible crystalloid for lavage procedures.

Decoding evolutionary trajectories of ovarian cancer metastasis.

The genetic changes during high-grade serous ovarian cancer metastasis have largely remained a mystery. Lahtinen et al. show that ovarian cancer metastasizes along three different evolutionary states that have distinct mutations and signaling pathways, potentially allowing the identification of targeted treatments.

Understanding Long-Term Survival of Patients with Ovarian Cancer-The Tumor Microenvironment Comes to the Forefront.

High-grade serous ovarian cancer (HGSOC) is the deadliest subtype of ovarian cancer, and most patients do not survive more than 5 years after diagnosis. Yet, for reasons that are often elusive, approximately 15% of women with advanced-stage HGSOC will survive longer than 10 years. An understanding of the biological basis of long-term survival with HGSOC may elucidate novel prognostic factors and targets for treatment. Past analyses of the clinicopathologic features of these women and genetic profiles of their tumors have not revealed a unifying explanation for their increased longevity. In this issue of Cancer Research, Ferri-Borgogno and colleagues investigate the tumor microenvironment (TME) in samples from both long- and short-term survivors using spatial transcriptomics and single-cell RNA sequencing. They found that, in metastatic tumors, various populations of cancer-associated fibroblasts (CAF) in the TME play different roles in supporting the malignant phenotype of ovarian cancer cells. Higher density of CAFs, particularly αSMA+VIM+PDGFRß+ CAFs, was associated with lower tumor immune infiltration and short-term survival. There was also marked expression of periostin and CD36 in spatially resolved CAFs, as well as a prevalence of the APOE-LRP5 ligand-receptor pair at the tumor-stromal interface in tissue from short-term survivors. These findings suggest that, in short-term survivors, CAFs are able to more effectively promote tumorigenicity, stemness, and chemoresistance in the nearby tumor. See related article by Ferri-Borgogno et al., p. 1503.

The glycoprotein CD147 defines miRNA-enriched extracellular vesicles that derive from cancer cells.

Extracellular vesicles (EVs) are ideal for liquid biopsy, but distinguishing cancer cell-derived EVs and subpopulations of biomarker-containing EVs in body fluids has been challenging. Here, we identified that the glycoproteins CD147 and CD98 define subpopulations of EVs that are distinct from classical tetraspanin+ EVs in their biogenesis. Notably, we identified that CD147+ EVs have substantially higher microRNA (miRNA) content than tetraspanin+ EVs and are selectively enriched in miRNA through the interaction of CD147 with heterogeneous nuclear ribonucleoprotein A2/B1. Studies using mouse xenograft models showed that CD147+ EVs predominantly derive from cancer cells, whereas the majority of tetraspanin+ EVs are not of cancer cell origin. Circulating CD147+ EVs, but not tetraspanin+ EVs, were significantly increased in prevalence in patients with ovarian and renal cancers as compared to healthy individuals and patients with benign conditions. Furthermore, we found that isolating miRNAs from body fluids by CD147 immunocapture increases the sensitivity of detecting cancer cell-specific miRNAs, and that circulating miRNAs isolated by CD147 immunocapture more closely reflect the tumor miRNA signature than circulating miRNAs isolated by conventional methods. Collectively, our findings reveal that CD147 defines miRNA-enriched, cancer cell-derived EVs, and that CD147 immunocapture could be an effective approach to isolate cancer-derived miRNAs for liquid biopsy.

Cancer-associated mesothelial cell-derived ANGPTL4 and STC1 promote the early steps of ovarian cancer metastasis.

Ovarian cancer (OvCa) preferentially metastasizes in association with mesothelial cell-lined surfaces. We sought to determine if mesothelial cells are required for OvCa metastasis and detect alterations in mesothelial cell gene expression and cytokine secretion upon interaction with OvCa cells. Using omental samples from patients with high-grade serous OvCa and mouse models with Wt1-driven GFP-expressing mesothelial cells, we validated the intratumoral localization of mesothelial cells during human and mouse OvCa omental metastasis. Removing mesothelial cells ex vivo from human and mouse omenta or in vivo using diphtheria toxin-mediated ablation in Msln-Cre mice significantly inhibited OvCa cell adhesion and colonization. Human ascites induced angiopoietin-like 4 (ANGPTL4) and stanniocalcin 1 (STC1) expression and secretion by mesothelial cells. Inhibition of STC1 or ANGPTL4 via RNAi obstructed OvCa cell-induced mesothelial cell to mesenchymal transition while inhibition of ANGPTL4 alone obstructed OvCa cell-induced mesothelial cell migration and glycolysis. Inhibition of mesothelial cell ANGPTL4 secretion via RNAi prevented mesothelial cell-induced monocyte migration, endothelial cell vessel formation, and OvCa cell adhesion, migration, and proliferation. In contrast, inhibition of mesothelial cell STC1 secretion via RNAi prevented mesothelial cell-induced endothelial cell vessel formation and OvCa cell adhesion, migration, proliferation, and invasion. Additionally, blocking ANPTL4 function with Abs reduced the ex vivo colonization of 3 different OvCa cell lines on human omental tissue explants and in vivo colonization of ID8p53-/-Brca2-/- cells on mouse omenta. These findings indicate that mesothelial cells are important to the initial stages of OvCa metastasis and that the crosstalk between mesothelial cells and the tumor microenvironment promotes OvCa metastasis through the secretion of ANGPTL4.

A Comparison of Obstetric Interventions and Outcomes Between Black and White Patients at an Urban Tertiary Medical Center.

The objective of the study is to evaluate whether rates of selected labor and delivery interventions and severe maternal morbidity (SMM) differ between Black and White pregnant patients. This retrospective observational cohort study included all Black or White pregnant patients who delivered at the University of Chicago Medical Center between January 2015 and December 2019. Data queried included demographic information, antepartum complications, preterm interventions, labor and delivery events, and neonatal outcomes. SMM was a composite outcome, including intensive care unit admission, blood transfusion, hysterectomy, eclampsia, cardiac arrest, or death. In total, 10,885 parturients (9001 Black and 1884 White) and 11,211 neonates (9254 born to Black and 1957 to White patients) were included in the study. Black patients were more likely to have preterm labor (3.51% vs. 1.86%, p = 0.0002) and no prenatal care (17.83% vs. 4.05%, p < 0.0001). There was no significant difference in the administration of magnesium sulfate for fetal neuroprotection (Black 44.78% vs. White 49.32%, p = 0.48) or antenatal corticosteroids (Black 67.83% vs. White 71.98%, p = 0.28) among those with preterm delivery. There was no significant difference in SMM (Black 2.24% vs. White 2.44%, p = 0.60), and SMM rates decreased over time (OR 0.79 per year, 95% CI: 0.72-0.87, p < 0.0001) for all patients. Black patients had more pregnancy complications, but their complications were addressed with similar rates of obstetrical interventions. In a high-resource setting, there was no difference in rates of SMM when compared to White patients.

Ovarian Masses: The Value of Acoustic Shadowing on Ultrasound Examination.

Adnexal lesions are a common finding in women and pose a clinical challenge since ovarian cancer is a highly lethal disease. However, most adnexal masses are benign, benefiting from a more conservative approach. In preoperative assessment, transvaginal ultrasound plays a key role in evaluating morphologic features that correlate with the risk of malignancy. The acoustic shadow is the loss of echo behind sound-absorbing components, such as calcifications or fibrous tissues, which are predominantly found in benign lesions. However, recognizing the acoustic shadow is a difficult skill to master, and its usefulness may be underappreciated.

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing.

As part of the Human Cell Atlas Initiative, our goal is to generate single-cell transcriptomics (single-cell RNA sequencing [scRNA-seq], 86,708 cells) and regulatory (single-cell assay on transposase accessible chromatin sequencing [scATAC-seq], 59,830 cells) profiles of the normal postmenopausal ovary and fallopian tube (FT). The FT contains 11 major cell types, and the ovary contains 6. The dominating cell type in the FT and ovary is the stromal cell, which expresses aging-associated genes. FT epithelial cells express multiple ovarian cancer risk-associated genes (CCDC170, RND3, TACC2, STK33, and ADGB) and show active communication between fimbrial epithelial cells and ovarian stromal cells. Integrated single-cell transcriptomics and chromatin accessibility data show that the regulatory landscape of the fimbriae is different from other anatomic regions. Cell types with similar gene expression in the FT display transcriptional profiles. These findings allow us to disentangle the cellular makeup of the postmenopausal FT and ovary, advancing our knowledge of gynecologic diseases in menopause.

Molecular Characterizations of Gynecologic Carcinosarcomas: A Focus on the Immune Microenvironment.

Gynecologic carcinosarcomas, specifically of endometrial and ovarian origin, are aggressive and rare tumors. Treatment data are limited and are often extrapolated from other histologies and smaller retrospective studies. While the optimal therapy approach remains contentious, treatment is often multimodal and may include surgery, chemotherapy, radiation, or a combination of multiple strategies. However, despite aggressive treatment, these tumors fare worse than carcinomas of the same anatomic sites irrespective of their stage. Recent studies have described in-depth molecular characterizations of gynecologic carcinosarcomas. Although many molecular features mirror those seen in other uterine and ovarian epithelial tumors, the high prevalence of epithelial-mesenchymal transition is more unique. Recently, molecular descriptions have expanded to begin to characterize the tumor immune microenvironment. While the importance of the immune microenvironment has been well-established for other tumor types, it has been less systematically explored in gynecologic carcinosarcomas. Furthermore, the use of immunotherapy in patients with gynecologic carcinosarcomas has not been extensively evaluated. In this review, we summarize the available data surrounding gynecologic carcinosarcomas, with a focus on the immune microenvironment. We end with a discussion of potential immunotherapy uses and future directions for the field.

The adipocyte microenvironment and cancer.

Many epithelial tumors grow in the vicinity of or metastasize to adipose tissue. As tumors develop, crosstalk between adipose tissue and cancer cells leads to changes in adipocyte function and paracrine signaling, promoting a microenvironment that supports tumor growth. Over the last decade, it became clear that tumor cells co-opt adipocytes in the tumor microenvironment, converting them into cancer-associated adipocytes (CAA). As adipocytes and cancer cells engage, a metabolic symbiosis ensues that is driven by bi-directional signaling. Many cancers (colon, breast, prostate, lung, ovarian cancer, and hematologic malignancies) stimulate lipolysis in adipocytes, followed by the uptake of fatty acids (FA) from the surrounding adipose tissue. The FA enters the cancer cell through specific fatty acid receptors and binding proteins (e.g., CD36, FATP1) and are used for membrane synthesis, energy metabolism (ß-oxidation), or lipid-derived cell signaling molecules (derivatives of arachidonic and linolenic acid). Therefore, blocking adipocyte-derived lipid uptake or lipid-associated metabolic pathways in cancer cells, either with a single agent or in combination with standard of care chemotherapy, might prove to be an effective strategy against cancers that grow in lipid-rich tumor microenvironments.

Deep Visual Proteomics defines single-cell identity and heterogeneity.

Despite the availabilty of imaging-based and mass-spectrometry-based methods for spatial proteomics, a key challenge remains connecting images with single-cell-resolution protein abundance measurements. Here, we introduce Deep Visual Proteomics (DVP), which combines artificial-intelligence-driven image analysis of cellular phenotypes with automated single-cell or single-nucleus laser microdissection and ultra-high-sensitivity mass spectrometry. DVP links protein abundance to complex cellular or subcellular phenotypes while preserving spatial context. By individually excising nuclei from cell culture, we classified distinct cell states with proteomic profiles defined by known and uncharacterized proteins. In an archived primary melanoma tissue, DVP identified spatially resolved proteome changes as normal melanocytes transition to fully invasive melanoma, revealing pathways that change in a spatial manner as cancer progresses, such as mRNA splicing dysregulation in metastatic vertical growth that coincides with reduced interferon signaling and antigen presentation. The ability of DVP to retain precise spatial proteomic information in the tissue context has implications for the molecular profiling of clinical samples.

High glucocorticoid receptor expression in the sarcomatous versus carcinomatous elements of Mullerian carcinosarcomas.

Glucocorticoid receptor can be associated with poor prognosis among a variety of solid tumors in the absence of other nuclear hormone receptors. Our objective was to characterize differences in glucocorticoid receptor (GR), estrogen receptor (ER), progesterone receptor (PR), and androgen receptor expression in the sarcomatous versus carcinomatous components of ovarian and uterine carcinosarcomas. Eighteen patients diagnosed with Mullerian carcinosarcoma between May 2009 and August 2014 were included. Nuclear receptor expression was evaluated by immunohistochemistry using whole tissue specimens. Receptor expression was quantified using the H-score. Mean H-scores were compared between the sarcomatous and carcinomatous components of tumors using Wilcoxon signed-rank tests. We found that GR expression was significantly higher in the sarcomatous components than in the carcinomatous components of the cancers (mean H score 144.4 vs 38.9, p = 0.002). Conversely, ER (3.1 vs 63.1, p = 0.002) and PR (1.7 vs 47.2, p < 0.0001) expression were significantly decreased in the sarcomatous component compared to the carcinomatous component. Androgen receptor expression was low overall (0 versus 2.8, p = 0.04). We hypothesize that GR-high, ER/PR-low expression is associated with epithelial to mesenchymal transition in the sarcomatous cells and may serve as a potential therapeutic target.

Resilience in the Face of Pandemic: The Impact of COVID-19 on the Psychologic Morbidity and Health-Related Quality of Life Among Women With Ovarian Cancer.

PURPOSE: The COVID-19 pandemic has created new challenges for ovarian cancer survivors. This study aims to evaluate the psychologic morbidity and alterations in medical care caused by the pandemic. METHODS: Advanced-stage ovarian cancer survivors at our institution were contacted for participation in a cross-sectional telephone-based quantitative survey study assessing pandemic-related psychologic morbidity. Psychologic domains using validated measures were explored: health-related quality of life (HRQOL; functional assessment of cancer therapy [FACT-G7]), anxiety (generalized anxiety disorder-7 [GAD7]), depression (Patient Health Questionnarie-2 [PHQ2]), global health Patient-Reported Outcomes Measurement Information System - Global Physical Health/Global Mental Health (PROMIS-GMH/GPH), resilience (brief resilience scale), and loneliness (English Longitudinal Study on Aging). Novel COVID-19 pandemic questions were drawn from a larger survey developed in our department. RESULTS: Fifty-nine percent (61 of 104) of contacted patients completed the survey. One quarter of respondents had high resilience, with only 10% reporting low resilience. Only one patient screened positive for depression, and two for anxiety. Increased loneliness was reported by 43% of respondents. Patients' overall HRQOL was good (median = 21; range = 6-28). Few patients experienced treatment delays, with only four experiencing chemotherapy interruption and two reporting surgical delays. Multiple regression analyses revealed that high FACT-G7 HRQOL was predicted by age > 65 years, high self-reported mental health, high resilience, and being off chemotherapy. Lower COVID-19 concern was predicted by recurrent cancer and high resilience. CONCLUSION: Despite the far-reaching impact of the COVID-19 pandemic, ovarian cancer survivors' HRQOL has been maintained. Older age, high resilience, high mental health, and being off chemotherapy predicted better HRQOL. Ovarian cancer survivors remain resilient in the face of the pandemic, and the support of clinicians to preserve this invaluable personal resource is critical for well-being.

Neoadjuvant Chemotherapy Induces Genomic and Transcriptomic Changes in Ovarian Cancer.

The growing use of neoadjuvant chemotherapy to treat advanced stage high-grade serous ovarian cancer (HGSOC) creates an opportunity to better understand chemotherapy-induced mutational and gene expression changes. Here we performed a cohort study including 34 patients with advanced stage IIIC or IV HGSOC to assess changes in the tumor genome and transcriptome in women receiving neoadjuvant chemotherapy. RNA sequencing and panel DNA sequencing of 596 cancer-related genes was performed on paired formalin-fixed paraffin-embedded specimens collected before and after chemotherapy, and differentially expressed genes (DEG) and copy-number variations (CNV) in pre- and post-chemotherapy samples were identified. Following tissue and sequencing quality control, the final patient cohort consisted of 32 paired DNA and 20 paired RNA samples. Genomic analysis of paired samples did not reveal any recurrent chemotherapy-induced mutations. Gene expression analyses found that most DEGs were upregulated by chemotherapy, primarily in the chemotherapy-resistant specimens. AP-1 transcription factor family genes (FOS, FOSB, FRA-1) were particularly upregulated in chemotherapy-resistant samples. CNV analysis identified recurrent 11q23.1 amplification, which encompasses SIK2. In vitro, combined treatment with AP-1 or SIK2 inhibitors with carboplatin or paclitaxel demonstrated synergistic effects. These data suggest that AP-1 activity and SIK2 copy-number amplification are induced by chemotherapy and may represent mechanisms by which chemotherapy resistance evolves in HGSOC. AP-1 and SIK2 are druggable targets with available small molecule inhibitors and represent potential targets to circumvent chemotherapy resistance. SIGNIFICANCE: Genomic and transcriptomic analyses identify increased AP-1 activity and SIK2 copy-number amplifications in resistant ovarian cancer following neoadjuvant chemotherapy, uncovering synergistic effects of AP-1 and SIK2 inhibitors with chemotherapy.

Resilience: a mediator of the negative effects of pandemic-related stress on women's mental health in the USA.

The role of resilience in mediating the negative effects of the COVID-19 pandemic on the mental health of US women is poorly understood. We examined socioeconomic factors associated with low resilience in women, the relationship of low resilience with psychiatric morbidity, and the mediating role of resilience in the relationship between pandemic-related stress and other coincident psychiatric morbidities. Using a quota-based sample from a national panel, we conducted a web-based survey of 3200 US women in April 2020. Weighted, multivariate logistic regression was used to model the odds of pandemic-related stress, and coincident depression and anxiety symptoms among those with and without low resilience. Structural equation modeling was used to evaluate resilience as a mediator of the relationship between pandemic-related stress and other coincident psychiatric morbidities. Risk factors for low resilience included younger age, lower household income, lower education, unemployment, East/Southeast Asian race, unmarried/unpartnered status, and higher number of medical comorbidities. Low resilience was significantly associated with greater odds of depression symptoms (OR = 3.78, 95% CI [3.10-4.60]), anxiety symptoms (OR = 4.17, 95% CI [3.40-5.11]), and pandemic-related stress (OR = 2.86, 95% CI [2.26-3.26]). Resilience acted as a partial mediator in the association between pandemic-related stress and anxiety symptoms (proportion mediated = 0.23) and depression symptoms (proportion mediated = 0.28). In the early days of the COVID-19 pandemic, low resilience mediated the association between pandemic-related stress and psychiatric morbidity. Strategies proven to enhance resilience, such as cognitive behavioral therapy, mindfulness-based stress reduction, and addressing socioeconomic factors, may help mitigate mental health outcomes.

The Natural Product ß-Escin Targets Cancer and Stromal Cells of the Tumor Microenvironment to Inhibit Ovarian Cancer Metastasis.

The high mortality of OvCa is caused by the wide dissemination of cancer within the abdominal cavity. OvCa cells metastasize to the peritoneum, which is covered by mesothelial cells, and invade into the underlying stroma, composed of extracellular matrices (ECM) and stromal cells. In a study using a three-dimensional quantitative high-throughput screening platform (3D-qHTS), we found that ß-escin, a component of horse chestnut seed extract, inhibited OvCa adhesion/invasion. Here, we determine whether ß-escin and structurally similar compounds have a therapeutic potential against OvCa metastasis. Different sources of ß-escin and horse chestnut seed extract inhibited OvCa cell adhesion/invasion, both in vitro and in vivo. From a collection of 160 structurally similar compounds to ß-escin, we found that cardiac glycosides inhibited OvCa cell adhesion/invasion and proliferation in vitro, and inhibited adhesion/invasion and metastasis in vivo. Mechanistically, ß-escin and the cardiac glycosides inhibited ECM production in mesothelial cells and fibroblasts. The oral administration of ß-escin inhibited metastasis in both OvCa prevention and intervention mouse models. Specifically, ß-escin inhibited ECM production in the omental tumors. Additionally, the production of HIF1α-targeted proteins, lactate dehydrogenase A, and hexokinase 2 in omental tumors was blocked by ß-escin. This study reveals that the natural compound ß-escin has a therapeutic potential because of its ability to prevent OvCa dissemination by targeting both cancer and stromal cells in the OvCa tumor microenvironment.