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CRM1 inhibitors have demonstrated antitumor effects in ovarian and other cancers; however, rational combinations are largely unexplored. We performed a high-throughput drug library screen to identify drugs that might combine well with selinexor in ovarian cancer. Next, we tested the combination of selinexor with the top hit from the drug screen in vitro and in vivo. Finally, we assessed for mechanisms underlying the identified synergy using reverse phase protein arrays (RPPA). The drug library screen assessing 688 drugs identified olaparib (a PARP inhibitor) as the most synergistic combination with selinexor. Synergy was further demonstrated by MTT assays. In the A2780luc ip1 mouse model, the combination of selinexor and olaparib yielded significantly lower tumor weight and fewer tumor nodules compared with the control group (P < 0.04 and P < 0.03). In the OVCAR5 mouse model, the combination yielded significantly fewer nodules (P = 0.006) and markedly lower tumor weight compared with the control group (P = 0.059). RPPA analysis indicated decreased expression of DNA damage repair proteins and increased expression of tumor suppressor proteins in the combination treatment group. Collectively, our preclinical findings indicate that combination with selinexor to expand the utility and efficacy of PARP inhibitors in ovarian cancer warrants further exploration.

Revised Supplementary Data Demonstrating All Supplementary Figures 1-6 and Supplementary Table 1

Purpose Tumor-associated macrophages (TAMs) are known to contribute to adaptive resistance to anti-vascular endothelial growth factor (VEGF) antibody (AVA) therapy in ovarian cancer. BET (bromodomain and extra-terminal domain) inhibitors (BETi) may have unique roles in targeting TAMs. Our objective was to examine the effects of BETi on TAMs, especially in the context of enhancing the efficacy of AVA therapy. Methods We conducted a series of in vitro (MTT assay, apoptosis, flow cytometry, and RNA sequencing) and in vivo (xenograft ovarian cancer model) experiments to determine the biological effects of BETi combined with AVA in ovarian cancer. For statistical analysis, a two-tailed Student’s t test (equal variance) or ANOVA was used for multiple groups’ comparison, and p Results BETi resulted in a dose-dependent decrease in cell viability and induced apoptosis (p p p +/CD80+) was significantly increased after treatment with low-dose BETi (ABBV-075 0.1 µM; p +/CCR2+ macrophages was significantly decreased (p + macrophages and re-polarize the macrophages into an M1-like phenotype. RNA-seq analysis revealed that BETi selectively targeted macrophage infiltration-related cytokines/chemokines in ovarian cancer (adjusted p p p Conclusions Our findings indicate a previously unrecognized role for BETi in selectively targeting CCR2+ TAMs and enhancing the efficacy of AVA therapy in ovarian cancer.

CRM1 inhibitors have demonstrated antitumor effects in ovarian and other cancers; however, rational combinations are largely unexplored. We performed a high-throughput drug library screen to identify drugs that might combine well with selinexor in ovarian cancer. Next, we tested the combination of selinexor with the top hit from the drug screen in vitro and in vivo. Finally, we assessed for mechanisms underlying the identified synergy using reverse phase protein arrays (RPPA). The drug library screen assessing 688 drugs identified olaparib (a PARP inhibitor) as the most synergistic combination with selinexor. Synergy was further demonstrated by MTT assays. In the A2780luc ip1 mouse model, the combination of selinexor and olaparib yielded significantly lower tumor weight and fewer tumor nodules compared with the control group (P < 0.04 and P < 0.03). In the OVCAR5 mouse model, the combination yielded significantly fewer nodules (P = 0.006) and markedly lower tumor weight compared with the control group (P = 0.059). RPPA analysis indicated decreased expression of DNA damage repair proteins and increased expression of tumor suppressor proteins in the combination treatment group. Collectively, our preclinical findings indicate that combination with selinexor to expand the utility and efficacy of PARP inhibitors in ovarian cancer warrants further exploration.

ImportanceDespite similar histologic appearance among high-grade serous ovarian cancers (HGSOCs), clinical observations suggest vast differences in gross appearance. There is currently no systematic framework by which to classify HGSOCs according to their gross morphologic characteristics.ObjectiveTo develop and characterize a gross morphologic classification system for HGSOC.Design, Setting, and ParticipantsThis cohort study included patients with suspected advanced-stage ovarian cancer who presented between April 1, 2013, and August 5, 2016, to the University of Texas MD Anderson Cancer Center, a large referral center. Patients underwent laparoscopic assessment of disease burden before treatment and received a histopathologic diagnosis of HGSOC. Researchers assigning morphologic subtype and performing molecular analyses were blinded to clinical outcomes. Data analysis was performed between April 2020 and November 2021.ExposuresGross tumor morphologic characteristics.Main Outcomes and MeasuresClinical outcomes and multiomic profiles of representative tumor samples of type I or type II morphologic subtypes were compared.ResultsOf 112 women (mean [SD] age 62.7 [9.7] years) included in the study, most patients (84% [94]) exhibited a predominant morphologic subtype and many (63% [71]) had a uniform morphologic subtype at all involved sites. Compared with those with uniform type I morphologic subtype, patients with uniform type II morphologic subtype were more likely to have a favorable Fagotti score (83% [19 of 23] vs 46% [22 of 48]; P = .004) and thus to be triaged to primary tumor reductive surgery. Similarly, patients with uniform type II morphologic subtype also had significantly higher mean (SD) estimated blood loss (639 [559; 95% CI, 391-887] mL vs 415 [527; 95% CI, 253-577] mL; P = .006) and longer mean (SD) operative time (408 [130; 95% CI, 350-466] minutes vs 333 [113; 95% CI, 298-367] minutes; P = .03) during tumor reductive surgery. Type I tumors had enrichment of epithelial-mesenchymal transition (false discovery rate [FDR] q-value, 3.10 × 10−24), hypoxia (FDR q-value, 1.52 × 10−5), and angiogenesis pathways (FDR q-value, 2.11 × 10−2), whereas type II tumors had enrichment of pathways related to MYC signaling (FDR q-value, 2.04 × 10−9) and cell cycle progression (FDR q-value, 1.10 × 10−5) by integrated proteomic and transcriptomic analysis. Abundances of metabolites and lipids also differed between the 2 morphologic subtypes.Conclusions and RelevanceThis study identified 2 novel, gross morphologic subtypes of HGSOC, each with unique clinical features and molecular signatures. The findings may have implications for triaging patients to surgery or chemotherapy, identifying outcomes, and developing tailored therapeutic strategies.

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.

ObjectiveA novel classification system of high-grade serous ovarian carcinoma based on gross morphology observed at pre-treatment laparoscopy was recently defined. The purpose of this study was to identify radiographic features unique to each morphologic subtype.MethodsThis retrospective study included 109 patients with high-grade serous ovarian cancer who underwent pre-operative computed tomography (CT) scanning and laparoscopic assessment of disease burden between 1 April 2013 and 5 August 2015. Gross morphologic subtype had been previously assigned by laparoscopy. Two radiologists independently reviewed CT images for each patient, categorized disease at eight anatomic sites, and assessed for radiographic characteristics of interest: large infiltrative plaques, mass-like metastases, enhancing peritoneal lining, architectural distortion, fat stranding, calcifications, and lymph node involvement. Demographic and clinical information was summarized with descriptive statistics and compared using Student's t-tests, χ² tests, or Fisher exact tests as appropriate; kappa statistics were used to assess inter-reader agreement.ResultsCertain radiographic features were found to be associated with gross morphologic subtype. Large infiltrative plaques were more common in type 1 disease (88.7% (47/53) vs 71.4% (25/35), p=0.04), while mass-like metastases were more often present in type 2 disease (48.6% (17/35) vs 22.6% (12/53), p=0.01). Additionally, radiographic presence of disease at the falciform ligament was more common in type 1 morphology (33.9% (19/56) vs 13.2% (5/38), p=0.02).ConclusionMorphologic subtypes of high-grade serous ovarian cancer were associated with specific CT findings, including the presence of large infiltrative plaques, mass-like metastases, and falciform ligament involvement.

Tumor-associated macrophages (TAMs) are known to contribute to adaptive resistance to anti-vascular endothelial growth factor (VEGF) antibody (AVA) therapy in ovarian cancer. BET (bromodomain and extra-terminal domain) inhibitors (BETi) may have unique roles in targeting TAMs. Our objective was to examine the effects of BETi on TAMs, especially in the context of enhancing the efficacy of AVA therapy.We conducted a series of in vitro (MTT assay, apoptosis, flow cytometry, and RNA sequencing) and in vivo (xenograft ovarian cancer model) experiments to determine the biological effects of BETi combined with AVA in ovarian cancer. For statistical analysis, a two-tailed Student's t test (equal variance) or ANOVA was used for multiple groups' comparison, and p 0.05 was considered significant.BETi resulted in a dose-dependent decrease in cell viability and induced apoptosis (p 0.01) in ovarian cancer cells (SKOV3ip1, OVCAR5, and OVCAR8). Treatment with BETi significantly increased apoptosis in THP-1 monocytes and macrophages (PMA-differentiated THP-1; p 0.01). Furthermore, BETi selectively induced greater apoptosis in M2-like macrophages (PMA and IL-4, IL-13-differentiated THP-1) (31.3%-36.1%) than in M1-like macrophages (PMA and LPS-differentiated THP-1) (12.4%-18.5%) (p 0.01). Flow cytometry revealed that the percentage of M1-like macrophages (CD68Our findings indicate a previously unrecognized role for BETi in selectively targeting CCR2

Introduction: Ovarian cancer accounts for more deaths than any other cancer of the female reproductive system despite advances in targeted drugs such as anti-VEGF antibody (AVA). Additionally, resistance to AVA therapy is nearly ubiquitous given the occurrence of metabolic adaptations such as a dependence on glutamine metabolism via the enzyme glutaminase. Objectives: To examine the metabolic vulnerability of AVA-resistant cancer with glutaminase inhibitor (GLSi) therapy and to test the utility of hyperpolarized magnetic resonance spectroscopy (HP-MRS) for assessing changes in lactate metabolism associated with GLSi treatment following injection of hyperpolarized [1-13C] pyruvate. Methods: We used a well-characterized SKOV3ip1 orthotopic mouse model of high-grade serous ovarian cancer with adaptive resistance to AVA (bevacizumab) treatment. Following three weeks of GLSi and bevacizumab treatment, we performed HP-MRS imaging to directly and non-invasively compare metabolic changes between the treatment groups of bevacizumab monotherapy versus a combined treatment of bevacizumab plus GLSi therapy. Upon injection of hyperpolarized [1-13C] pyruvate, we quantitatively assessed a normalized lactate ratio (nLac), defined as the 13C resonance signal of lactate divided by the sum of the pyruvate and lactate signals, sixty seconds after injection. GLSi treatment effect was subsequently compared between GLSi monotherapy, bevacizumab monotherapy and control mice receiving no therapy. This was performed via gross necropsy to assess disease burden and quantification of tumor weight and nodule number. Results: Significance analysis microarrays (SAM) of bevacizumab treated tumors from the mouse models revealed greater glutamine and glutamate abundance in all tissues suggestive of a glutamine dependence in AVA resistant tumors that could be susceptible to glutaminase inhibition. The in vivo HP-MRS provided a direct and non-invasive investigation of pyruvate metabolism of tumors in situ. Our analysis indicated that the pyruvate-to-lactate conversion was significantly reduced in vivo by GLSi treatment (0.337 vs 0.178, p=0.0002), suggestive of therapeutic efficacy of GLSi in the setting of AVA-resistant tumors. Consistent with this, we observed a statistically significant reduction in tumor weight (0.05g vs 0.62g and 0.64g, p Conclusions: Using HP-MRS in vivo, we directly monitored metabolic changes occurring after GLSi treatment. These findings are consistent with the notion of glutamine dependence being an important resistance mechanism to AVA therapy and imply potential future use of HP-MRS in monitoring therapeutic efficacy in a clinical realm. Citation Format: Deanna Glassman, Mark S. Kim, Prasanta Dutta, Charles V. Kingsley, Emine Bayraktar, Yutuan Wu, Elaine Stur, Lingegowda S. Mangala, Katherine Foster, Sanghoon Lee, Timothy A. Yap, Shannon N. Westin, Pratip Bhattacharya, Anil K. Sood. Hyperpolarized magnetic resonance spectroscopy assessment of the metabolic effects of glutaminase inhibitor therapy in an ovarian cancer model [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 2484.

Objectives: Despite similar histologic appearance amongst high-grade serous ovarian cancers (HGSOC), anecdotally there are differences in gross appearance. However, no systematic framework to classify morphologic differences exists. Therefore, we aimed to determine whether high-grade serous ovarian cancers (HGSOC) can be reliably divided into distinct gross morphologic subtypes and to assess clinical outcomes and molecular features of these subtypes. Methods: A retrospective review was performed of video-recordings from patients who underwent laparoscopic assessment of disease burden prior to primary debulking surgery (PDS) or neoadjuvant chemotherapy (NACT). Video recordings were reviewed by at least 2 physicians. A total of 4 sites (diaphragm, omentum, peritoneum, and pelvis) were assessed and classified as type I (deep, infiltrative disease with distortion of surrounding tissue) or type II (superficial, exophytic disease bordered by normal tissue). Tumor tissues from 16 of these chemotherapy-naive patients were analyzed by multi-platform omics (RNA sequencing, proteomics). Clinical outcomes were assessed utilizing a prospectively collected database and compared by morphology using t-test or Fisher's exact test. Results: Of the 99 evaluable patients, 60 exhibited uniform morphology at all involved metastatic sites (65% type I and 35% type II), and 81 exhibited a predominating morphology (58% type I and 42% type II). A total of 164 images were reviewed by a third physician with 83.5% inter-rater concordance (κ=0.6446). Patients with uniform type 1 (n=34)tumor morphology were more likely to exhibit an excellent response to NACT (defined as radiologic or CA-125 complete response) than those with type II (n=16) tumor morphology (47% vs 18%, p=0.13). Patients with type II predominant tumor morphology had a significantly higher estimated blood loss at the time of interval debulking surgery (p=0.008) as well as longer operative time (p=0.03) compared with type I tumor morphology. Patients with complete type II morphology were more likely to have a modified Fagotti score of Conclusions: There are at least two distinct gross morphological patterns of HGSOC with unique molecular differences and responses to chemotherapy. These findings could have major clinical implications for tailored therapeutic strategies. Download : Download high-res image (97KB) Download : Download full-size image

Objectives: It is well known that patients with cancer and a concurrent venous thromboembolism (VTE) have poorer oncologic outcomes. Despite the fact that 25-40% of ovarian cancer patients develop a VTE, the role of tumor specific factors in VTE development is not known. Therefore, we aim to identify genomic factors in ovarian cancer that could be related to development of VTE or the associated impact on patient outcomes. Methods: We obtained ovarian high grade serous carcinoma (HGSC) samples from patients diagnosed between 2013 and 2019 for RNA sequencing. Sixteen cases of VTE were identified and matched with 16 controls (no VTE) based on histologic subtype, age (±10 years) and BMI (±10kg/m2). Bioinformatics analyses were carried out to identify genes and pathways that could contribute to the development of VTE. Results: In the 16 cases, the timing of VTE was variable, ranging from onset at the time of diagnosis of ovarian cancer (n=9; 56%), during neoadjuvant chemotherapy (NACT; n=2, 12.5%), and within 28 days of surgery or during adjuvant chemotherapy (n=5; 31.3%). A quality control assessment of the RNA sequencing analysis showed no evidence of batch effect. We found that there were 130 differentially expressed genes (DEGs) upregulated in the VTE group and 62 DEGs were upregulated in the control group. The F3 gene which encodes tissue factor, a major factor in the procoagulant activity of cancer, was upregulated in nearly all VTE samples. In contrast, F3 was not expressed in the majority of the control samples. An outcome analysis utilizing datasets from The Cancer Genome Atlas (TCGA) comparing ovarian tissues from patients with and without VTE also identified that seven of these DEGs showed a consistently higher expression level in the VTE cohort compared to ovarian tissue controls. A Cox regression using age, grade, and gene expression indicated that 13 of the DEGs were associated with poorer overall survival. Specifically, GAPDHP65 and NRSN2-AS1 were found to have a hazard ratio of > 1.5 (p=0.018 and Download : Download high-res image (255KB) Download : Download full-size image Conclusions: In this study, we provide the first comprehensive analysis of tumor tissue molecular factors and gene expression specific to VTE in HGSC. We identified several differentially expressed genes within tumor tissue that could represent a unique gene signature for which to target prevention of VTE and to develop novel therapeutics.