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PURPOSE The status of p53 in a tumor can be inferred by next-generation sequencing (NGS) or by immunohistochemistry (IHC). We examined the association between p53 IHC and sequence and whether p53 IHC alone, or integrated with TP53 NGS, predicts the outcome. METHODS From GOG-86P, a randomized phase II study of chemotherapy combined with either bevacizumab or temsirolimus in advanced endometrial cancer, 213 cases had p53 protein expression data measured by IHC and TP53 NGS data. An analysis was designed to integrate p53 expression by IHC with the presence or absence of a TP53 mutation. These variables were further correlated with progression-free survival (PFS) and overall survival (OS) in the chemotherapy plus bevacizumab arms versus the chemotherapy plus temsirolimus arm. RESULTS In the analysis of p53 IHC, the most striking treatment effect favoring bevacizumab was in cases where p53 was overexpressed (PFS hazard ratio [HR]: 0.46, 95% CI, 0.26 to 0.88; OS HR: 0.31, 95% CI, 0.16 to 0.62). On integrated analysis, patients with TP53 missense mutations and p53 protein overexpression had a similar treatment effect on PFS (HR: 0.41, 95% CI, 0.22 to 0.83) and OS (HR: 0.28, 95% CI, 0.14 to 0.59) favoring bevacizumab plus chemotherapy relative to temsirolimus plus chemotherapy. Concordance between TP53 NGS and p53 IHC was 88%. Concordance was 92% when cases with TP53 mutations and POLE mutations or mismatch repair deficiency were removed. CONCLUSION IHC for p53 alone or when integrated with sequencing for TP53 identifies a specific, high-risk tumor genotype/phenotype for which bevacizumab is particularly beneficial in improving outcomes when combined with chemotherapy.

Most endometrial cancers express the hormone receptor estrogen receptor alpha (ER) and are driven by excess estrogen signaling. However, evaluation of the estrogen response in endometrial cancer cells has been limited by the availability of hormonally responsivein vitromodels, with one cell line, Ishikawa, being used in most studies. Here, we describe a novel, adherent endometrioid endometrial cancer (EEC) cell line model, HCI-EC-23. We show that HCI-EC-23 retains ER expression and that ER functionally responds to estrogen induction over a range of passages. We also demonstrate that this cell line retains paradoxical activation of ER by tamoxifen, which is also observed in Ishikawa and is consistent with clinical data. The mutational landscape shows that HCI-EC-23 is mutated at many of the commonly altered genes in EEC, has relatively few copy-number alterations, and is microsatellite instable high (MSI-high).In vitroproliferation of HCI-EC-23 is strongly reduced upon combination estrogen and progesterone treatment. HCI-EC-23 exhibits strong estrogen dependence for tumor growthin vivoand tumor size is reduced by combination estrogen and progesterone treatment. Molecular characterization of estrogen induction in HCI-EC-23 revealed hundreds of estrogen-responsive genes that significantly overlapped with those regulated in Ishikawa. Analysis of ER genome binding identified similar patterns in HCI-EC-23 and Ishikawa, although ER exhibited more bound sites in Ishikawa. This study demonstrates that HCI-EC-23 is an estrogen- and progesterone-responsive cell line model that can be used to study the hormonal aspects of endometrial cancer.

Background Successfully combining targeted agents with chemotherapy is an important future goal for cancer therapy. However, an improvement in patient outcomes requires an enhanced understanding of the tumor biomarkers that predict for drug sensitivity. NRG Oncology/Gynecologic Oncology Group (GOG) Study GOG-86P was one of the first attempts to combine targeted agents (bevacizumab or temsirolimus) with chemotherapy in patients with advanced endometrial cancer. Herein we performed exploratory analyses to examine the relationship between mutations in TP53, the most commonly mutated gene in cancer, with outcomes on GOG-86P. Methods TP53 mutational status was determined and correlated with progression-free survival (PFS) and overall survival (OS) on GOG-86P. Results Mutations in TP53 were associated with improved PFS and OS for patients that received bevacizumab as compared to temsirolimus (PFS: HR 0.48, 95% CI 0.31, 0.75; OS: HR: 0.61, 95% CI 0.38, 0.98). By contrast, there was no statistically significant difference in PFS or OS between arms for cases with WT TP53. Conclusions This exploratory study suggests that combining chemotherapy with bevacizumab, but not temsirolimus, may enhance PFS and OS for patients whose tumors harbor mutant p53. These data set the stage for larger clinical studies evaluating the potential of TP53 mutational status as a biomarker to guide choice of treatment for endometrial cancer patients. Clintrials.gov : NCT00977574 .

Simple Summary In the conventional treatment of gynecologic malignancies, most patients receive similar ‘one-size-fits-all’ treatment. However, it is increasingly clear that standard therapies do not work in every patient, and it would be very helpful to have pretreatment predictive assays to provide more personalized regimens. In this study, we describe the routine, successful establishment of patient-derived organoid models (PDOs) of endometrial and ovarian cancer tissues from consenting patients and provide an example of how information from drug screening in PDOs may be a useful predictor of patient response to therapy. Abstract Developing reliable experimental models that can predict clinical response before treating the patient is a high priority in gynecologic cancer research, especially in advanced or recurrent endometrial and ovarian cancers. Patient-derived organoids (PDOs) represent such an opportunity. Herein, we describe our successful creation of 43 tumor organoid cultures and nine adjacent normal tissue organoid cultures derived from patients with endometrial or ovarian cancer. From an initial set of 45 tumor tissues and seven ascites fluid samples harvested at surgery, 83% grew as organoids. Drug sensitivity testing and organoid cell viability assays were performed in 19 PDOs, a process that was accomplished within seven days of obtaining the initial surgical tumor sample. Sufficient numbers of cells were obtained to facilitate testing of the most commonly used agents for ovarian and endometrial cancer. The models reflected a range of sensitivity to platinum-containing chemotherapy as well as other relevant agents. One PDO from a patient treated prior to surgery with neoadjuvant trastuzumab successfully predicted the patient’s postoperative chemotherapy and trastuzumab resistance. In addition, the PDO drug sensitivity assay identified alternative treatment options that are currently used in the second-line setting. Our findings suggest that PDOs could be used as a preclinical platform for personalized cancer therapy for gynecologic cancer patients.

Objectives: Endometrial cancer incidence and mortality are rising in the US. Disease recurrence has been shown to have a significant impact on mortality. However, to date, there are no accurate and validated prediction models that would discriminate which individual patients are likely to recur. Reliably predicting recurrence would be of benefit for treatment decisions following surgery. We present an integrated model constructed with comprehensive clinical, pathological and molecular features designed to discriminate risk of recurrence for patients with endometrioid endometrial adenocarcinoma. Subjects and methods: A cohort of endometrioid endometrial cancer patients treated at our institution was assembled. Clinical characteristics were extracted from patient charts. Primary tumors from these patients were obtained and total tissue RNA extracted for RNA sequencing. A prediction model was designed containing both clinical characteristics and molecular profiling of the tumors. The same analysis was carried out with data derived from The Cancer Genome Atlas for replication and external validation. Results: Prediction models derived from our institutional data predicted recurrence with high accuracy as evidenced by areas under the curve approaching 1. Similar trends were observed in the analysis of TCGA data. Further, a scoring system for risk of recurrence was devised that showed specificities as high as 81% and negative predictive value as high as 90%. Lastly, we identify specific molecular characteristics of patient tumors that may contribute to the process of disease recurrence. Conclusion: By constructing a comprehensive model, we are able to reliably predict recurrence in endometrioid endometrial cancer. We devised a clinically useful scoring system and thresholds to discriminate risk of recurrence. Finally, the data presented here open a window to understanding the mechanisms of recurrence in endometrial cancer.

Simple Summary Wnt has diverse regulatory roles at multiple cellular levels and numerous targeting points, and aberrant Wnt signaling has crucial roles in carcinogenesis, metastasis, cancer recurrence, and chemotherapy resistance; based on these facts, Wnt represents an appealing therapeutic target for cancer treatment. Although preclinical data supports a role for the Wnt signaling pathway in uterine carcinogenesis, this area remains understudied. In this review, we identify the functions of several oncogenes of the Wnt/β-catenin signaling pathway in tumorigenesis and address the translation approach with potent Wnt inhibitors that have already been established or are being investigated to target key components of the pathway. Further research is likely to expand the potential for both biomarker and cancer drug development. There is a scarcity of treatment choices for advanced and recurrent endometrial cancer; investigating the sophisticated connections of Wnt signaling networks in endometrial cancer could address the unmet need for new therapeutic targets. Abstract This review presents new findings on Wnt signaling in endometrial carcinoma and implications for possible future treatments. The Wnt proteins are essential mediators in cell signaling during vertebrate embryo development. Recent biochemical and genetic studies have provided significant insight into Wnt signaling, in particular in cell cycle regulation, inflammation, and cancer. The role of Wnt signaling is well established in gastrointestinal and breast cancers, but its function in gynecologic cancers, especially in endometrial cancers, has not been well elucidated. Development of a subset of endometrial carcinomas has been attributed to activation of the APC/β-catenin signaling pathway (due to β-catenin mutations) and downregulation of Wnt antagonists by epigenetic silencing. The Wnt pathway also appears to be linked to estrogen and progesterone, and new findings implicate it in mTOR and Hedgehog signaling. Therapeutic interference of Wnt signaling remains a significant challenge. Herein, we discuss the Wnt-activating mechanisms in endometrial cancer and review the current advances and challenges in drug discovery.

Objectives: Antiangiogenics have become a cornerstone of treatment in advanced stage and recurrent high grade serous ovarian cancer. Both cediranib (ICON6) and bevacizumab (ICON7, GOG218) have demonstrated benefit as a maintenance treatment for ovarian cancer patients in clinical trials. Investigators have also explored their role in advanced stage and recurrent endometrial carcinoma (MITO-END 2, Rose 2017, Aghajanian 2011). There have been no head to head trials in gynecologic cancers comparing cediranib to bevacizumab, although in colorectal carcinoma, phase III data suggests equivalent efficacy (HORIZON III). We hypothesize that these drugs, although both categorized as anti-angiogenics, induce unique cellular responses and sought to explore the varying impact of each agent on cell signaling using established serous cell models. Methods: CAOV3 ovarian cancer cells and Hec50 endometrial cancer cells were exposed to 1mM bevacizumab or cediranib for 24 hours. Cell lysates were analyzed in duplicate using an antibody-based phosphoproteomic array of 875 phosphoproteins supplied by Kinexus Bioinformatics (Vancouver, BC). Priority signaling effects were defined for each drug and in each cell line as those with a significant (>75%) change from control with an acceptable sum of error ( Results: Bevacizumab yielded 13 total leads, and cediranib yielded 9 in CAOV3 ovarian cancer cells (Table 1). Both agents significantly enhanced signaling events on the following epitopes: ABl, EZH2, HGK (2 sites), and IGF1R, indicating that these may be some of the core cellular effects of anti-angiogenic agents. Interestingly, all common leads induced by both agents in CAOV3 cells represent potential pro-oncogenic effects. In Hec50 cells (Table 1), both cediranib and bevacizumab treatment induced a unique set of phosphoproteins compared to the effects of these agents in CAOV3 cells, yet common findings were the phosphorylation of IGFR1 by bevacizumab and the activation of alternative MAP kinases in both cell lines. Download : Download high-res image (128KB) Download : Download full-size image Conclusions: Angiogenesis plays a crucial role in tumor development and metastasis. Blocking angiogenesis using monoclonal antibodies such as bevacizumab or tyrosine kinase inhibitors such as cediranib is a strategy that is proving to be helpful in the care of patients with gynecologic malignancies. These molecular agents have both on-target, therapeutic effects but also may induce pathways of resistance. In these comprehensive phosphoproteomic mapping studies, we noted the activation of signaling pathways which were cell and drug specific. One consistent finding was the enhanced phosphorylation of IGFR1 and alternative MAP kinases that may portend eventual drug resistance.

Nearly a third of patients with high-grade serous ovarian cancer (HGSC) do not respond to initial therapy and have an overall poor prognosis. However, there are no validated tools that accurately predict which patients will not respond. Our objective is to create and validate accurate models of prediction for treatment response in HGSC. This is a retrospective case–control study that integrates comprehensive clinical and genomic data from 88 patients with HGSC from a single institution. Responders were those patients with a progression-free survival of at least 6 months after treatment. Only patients with complete clinical information and frozen specimen at surgery were included. Gene, miRNA, exon, and long non-coding RNA (lncRNA) expression, gene copy number, genomic variation, and fusion-gene determination were extracted from RNA-sequencing data. DNA methylation analysis was performed. Initial selection of informative variables was performed with univariate ANOVA with cross-validation. Significant variables (p

Uterine serous carcinoma, one of the most aggressive types of endometrial cancer, is characterized by poor outcomes and mutations in the tumour suppressor p53. Our objective was to engender synthetic lethality to paclitaxel (PTX), the frontline treatment for endometrial cancer, in tumours with mutant p53 and enhance the therapeutic efficacy using polymeric nanoparticles (NPs). First, we identified the optimal NP formulation through comprehensive analyses of release profiles and cellular-uptake and cell viability studies. Not only were PTX-loaded NPs superior to PTX in solution, but the combination of PTX-loaded NPs with the antiangiogenic molecular inhibitor BIBF 1120 (BIBF) promoted synthetic lethality specifically in cells with the loss-of-function (LOF) p53 mutation. In a xenograft model of endometrial cancer, this combinatorial therapy resulted in a marked inhibition of tumour progression and extended survival. Together, our data provide compelling evidence for future studies of BIBF- and PTX-loaded NPs as a therapeutic opportunity for LOF p53 cancers.

Objectives: Though many ovarian cancer patients respond to primary treatment, a significant portion will not respond and are considered ‘platinum resistant/refractory.’ Such patients experience a significantly worse prognosis relative to those who are ‘platinum sensitive.’ Pre-treatment prediction of platinum sensitivity has eluded scientists, which forces clinicians to undergo a ‘trial and error’ method of treatment by which resistant patients are forced to try and fail a futile line of therapy. Patient-derived organoid (PDO) cultures represent a potentially powerful functional model which preserves tumor heterogeneity (Hill et al, 2018). Here, we describe the successful culture of 4 PDOs from patients with advanced stage ovarian carcinoma and their correlation with clinical treatment outcome. Methods: Fresh tissue was obtained from the patients’ debulking surgery. It was digested, and a cell pellet was created. The pellet was washed several times, re-suspended in Matrigel, plated, and grown at 37oC over several days. PDOs were treated with standard doses of carboplatin (1 µM) and paclitaxel (10 nM). The percent of viable cells at 72 hours was measured using the CellTiter-Glo 3D platform (Promega, Madison, WI). The patients’ clinical charts were then reviewed 6 months after the completion of primary chemotherapy to determine clinical platinum sensitivity as defined by clinical parameters. Results: PDOs were successfully obtained from each of the four patients with advanced stage ovarian carcinoma. Three patients had primary disease, and 1 patient was being treated for a recurrence. The patient with recurrent disease received chemotherapy immediately prior to her debulking surgery, and the rest underwent primary debulking surgery with chemotherapy to follow. Three patients had high grade serous histology, and 1 patient had low grade serous histology. Three patients ultimately had platinum resistant disease, and their PDOs all demonstrated >50% cell viability in response to carboplatin and paclitaxel with 2 resistant PDOs demonstrating a remarkable 90% and 95% cell viability. The PDO from the patient with platinum sensitive disease by clinical criteria demonstrated 49% cell viability in response to treatment (Table 1). Download : Download high-res image (123KB) Download : Download full-size image Conclusions: We describe the successful creation of PDOs from fresh tissue obtained from debulking surgery in advanced stage ovarian cancer patients. If we use ≥50% cell viability as our initial, preliminary sensitivity threshold, results from the PDO drug sensitivity assay correlate with clinical platinum sensitivity in this pilot feasibility. We propose to confirm the predictability of drug sensitivity thresholds in future, larger studies using PDOs. Currently, there is no standardized drug sensitivity assay or response parameters defined as predictable for PDOs. Such work will be integral in the formation of a functional model of drug sensitivity, which can be used in the clinic to predict platinum sensitivity without requiring a patient to try and fail futile treatments.

Objective Gynecologic Oncology Group (GOG) 177 demonstrated that addition of paclitaxel to a backbone of adriamycin/cisplatin improves overall survival (OS) and progression-free survival (PFS) for patients with advanced or recurrent endometrial cancer. Using patient specimens from GOG-177, our objective was to identify potential mechanisms underlying the improved clinical response to taxanes. Stathmin (STMN1) is a recognized poor prognostic marker in endometrial cancer that functions as a microtubule depolymerizing protein, allowing cells to transit rapidly through mitosis. Therefore, we hypothesized that one possible mechanism underlying the beneficial effects of paclitaxel could be to counter the impact of stathmin. Methods We analyzed the expression of stathmin by immunohistochemistry (IHC) in 69 specimens from patients enrolled on GOG-177. We also determined the correlation between stathmin mRNA expression and clinical outcomes in The Cancer Genome Atlas (TCGA) dataset for endometrial cancer. Results We first established that stathmin expression was significantly associated with shorter PFS and OS for all analyzed cases in both GOG-177 and TCGA. However, subgroup analysis from GOG-177 revealed that high stathmin correlated with poor PFS and OS particularly in patients who received adriamycin/cisplatin only. In contrast, there was no statistically significant association between stathmin expression and OS or PFS in patients treated with paclitaxel/adriamycin/cisplatin. Conclusions Our findings demonstrate that high stathmin expression is a poor prognostic marker in endometrial cancer. Paclitaxel may help to negate the impact of stathmin overexpression when treating high risk endometrial cancer cases.

The disruption of estrogen signaling is widely associated with the development of breast, endometrial and ovarian cancers. As a multifunctional mediator of carcinogenesis, metadherin (MTDH)/astrocyte elevated gene-1 (AEG-1) overexpression has been associated with numerous types of cancer, with reported roles in tumor initiation, proliferation, invasion, metastasis and chemoresistance. At the molecular level, MTDH has been shown to interact with proteins that drive tumorigenesis, including nuclear factor-κB (NF-κB), promyelocytic leukaemia zinc finger (PLZF), BRCA2- and CDKN1A (p21Cip1/Waf-1/mda-6)-interacting protein α (BCCIPα) and staphylococcal nuclease and tudor domain containing 1 (SND1). Through the analysis of the Cancer Genome Atlas (TCGA) datasets for estrogen receptor (ER)-positive endometrial and breast cancers, we found that over 25% of all gene expression correlated with MTDH. Using Affymetrix microarrays, we characterized the differences in gene expression between estrogen-treated parental and MTDH-deficient endometrial and breast cancer cells. We also explored a possible interaction between MTDH and ER by immunoprecipitation, and found that MTDH and ER associated in both breast and endometrial cancer cells in response to estrogen. Reciprocal co-immunoprecipitation analysis demonstrated that acute estrogen stimulation promoted the interaction of MTDH with ER in the nucleus. These data, to the best of our knowledge, provide the first evidence that MTDH and ERα interact in the nucleus with estrogen treatment to regulate gene expression.

Objective Platinum compounds have been widely used as a primary treatment for many types of cancer. However, resistance is the major cause of therapeutic failure for patients with metastatic or recurrent disease, thus highlighting the need to identify novel factors driving resistance to Platinum compounds. Metadherin (MTDH, also known as AEG-1 and LYRIC), located in a frequently amplified region of chromosome 8, has been consistently associated with resistance to chemotherapeutic agents, though the precise mechanisms remain incompletely defined. Methods The mRNA of FANCD2 and FANCI was pulled down by RNA-binding protein immunoprecipitation. Pristimerin-loaded nanoparticles were prepared using the nanoprecipitation method. Immunocompromised mice bearing patient-derived xenograft tumors were treated with pristimerin-loaded nanoparticles, cisplatin and a combination of the two. Results MTDH, through its recently discovered role as an RNA binding protein, regulates expression of FANCD2 and FANCI, two components of the Fanconi anemia complementation group (FA) that play critical roles in interstrand crosslink damage induced by platinum compounds. Pristimerin, a quinonemethide triterpenoid extract from members of the Celastraceae family used to treat inflammation in traditional Chinese medicine, significantly decreased MTDH, FANCD2 and FANCI levels in cancer cells, thereby restoring sensitivity to platinum-based chemotherapy. Using a patient-derived xenograft model of endometrial cancer, we discovered that treatment with pristimerin in a novel nanoparticle formulation markedly inhibited tumor growth when combined with cisplatin. Conclusions MTDH is involved in post-transcriptional regulation of FANCD2 and FANCI. Pristimerin can increase sensitivity to platinum-based agents in tumors with MTDH overexpression by inhibiting the FA pathway.

The utility of comprehensive surgical staging in patients with low risk disease has been questioned. Thus, a reliable means of determining risk would be quite useful. The aim of our study was to create the best performing prediction model to classify endometrioid endometrial cancer (EEC) patients into low or high risk using a combination of molecular and clinical-pathological variables. We then validated these models with publicly available datasets. Analyses between low and high risk EEC were performed using clinical and pathological data, gene and miRNA expression data, gene copy number variation and somatic mutation data. Variables were selected to be included in the prediction model of risk using cross-validation analysis, prediction models were then constructed using these variables. Model performance was assessed by area under the curve (AUC). Prediction models were validated using appropriate datasets in The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. A prediction model with only clinical variables performed at 88%. Integrating clinical and molecular data improved prediction performance up to 97%. The best prediction models included clinical, miRNA expression and/or somatic mutation data, and stratified pre-operative risk in EEC patients. Integrating molecular and clinical data improved the performance of prediction models to over 95%, resulting in potentially useful clinical tests.

Nearly one-third of patients with high-grade serous ovarian cancer (HGSC) do not respond to initial treatment with platinum-based therapy. Genomic and clinical characterization of these patients may lead to potential alternative therapies. Here, the objective is to classify non-responders into subsets using clinical and molecular features. Using patients from The Cancer Genome Atlas (TCGA) dataset with platinum-resistant or platinum-refractory HGSC, we performed a genome-wide unsupervised cluster analysis that integrated clinical data, gene copy number variations, gene somatic mutations, and DNA promoter methylation. Pathway enrichment analysis was performed for each cluster to identify the targetable processes. Following the unsupervised cluster analysis, three distinct clusters of non-responders emerged. Cluster 1 had overrepresentation of the stage IV disease and suboptimal debulking, under-expression of miRNAs and mRNAs, hypomethylated DNA, “loss of function” TP53 mutations, and the overexpression of genes in the PDGFR pathway. Cluster 2 had low miRNA expression, generalized hypermethylation, MUC17 mutations, and significant activation of the HIF-1 signaling pathway. Cluster 3 had more optimally cytoreduced stage III patients, overexpression of miRNAs, mixed methylation patterns, and “gain of function” TP53 mutations. However, the survival for all clusters was similar. Integration of genomic and clinical data from patients that do not respond to chemotherapy has identified different subgroups or clusters. Pathway analysis further identified the potential alternative therapeutic targets for each cluster.

Objectives: Endometrial cancer incidence and mortality are rising in the US. Disease recurrence has been shown to have a significant impact on mortality. However, to date, there are no accurate and validated prediction models that would discriminate which individual patients are likely to recur. Reliably predicting recurrence would be of benefit for treatment decisions following surgery. We present an integrated model constructed with comprehensive clinical, pathological and molecular features designed to discriminate risk of recurrence for patients with endometrioid endometrial adenocarcinoma. Subjects and methods: A cohort of endometrioid endometrial cancer patients treated at our institution was assembled. Clinical characteristics were extracted from patient charts. Primary tumors from these patients were obtained and total tissue RNA extracted for RNA sequencing. A prediction model was designed containing both clinical characteristics and molecular profiling of the tumors. The same analysis was carried out with data derived from The Cancer Genome Atlas for replication and external validation. Results: Prediction models derived from our institutional data predicted recurrence with high accuracy as evidenced by areas under the curve approaching 1. Similar trends were observed in the analysis of TCGA data. Further, a scoring system for risk of recurrence was devised that showed specificities as high as 81% and negative predictive value as high as 90%. Lastly, we identify specific molecular characteristics of patient tumors that may contribute to the process of disease recurrence. Conclusion: By constructing a comprehensive model, we are able to reliably predict recurrence in endometrioid endometrial cancer. We devised a clinically useful scoring system and thresholds to discriminate risk of recurrence. Finally, the data presented here open a window to understanding the mechanisms of recurrence in endometrial cancer.

Simple Summary Microorganisms are found in all human tissues. Some of them are responsible for cancer formation. In our study we found gene expression from bacteria, archaea, and viruses in the upper female genital tract and this expression was associated with ovarian and endometrial cancer. We also found that the expression from these organisms may be involved in regulatory mechanisms of infection and cancer formation. Some of the processes associated with these organisms may affect cancer heterogeneity and be potential targets for cancer therapy. Abstract Bacteria, archaea, and viruses are associated with numerous human cancers. To date, microbiome variations in transcription have not been evaluated relative to upper female genital tract cancer risk. Our aim was to assess differences in bacterial, archaea, and viral transcript (BAVT) expression between different gynecological cancers and normal fallopian tubes. In this case-control study we performed RNA sequencing on 12 normal tubes, 112 serous ovarian cancers (HGSC) and 62 endometrioid endometrial cancers (EEC). We used the centrifuge algorithm to classify resultant transcripts into four indexes: bacterial, archaea, viral, and human genomes. We then compared BAVT expression from normal samples, HGSC and EEC. T-test was used for univariate comparisons (correcting for multiple comparison) and lasso for multivariate modelling. For validation we performed DNA sequencing of normal tubes in comparison to HGSC and EEC BAVTs in the TCGA database. Pathway analyses were carried out to evaluate the function of significant BAVTs. Our results show that BAVT expression levels vary between different gynecological cancers. Finally, we mapped some of these BAVTs to the human genome. Numerous map locations were close to regulatory genes and long non-coding RNAs based on the pathway enrichment analysis. BAVTs may affect gynecological cancer risk and may be part of potential targets for cancer therapy.

Introduction: GOG-086P was one of the first attempts to combine molecular inhibitors such as bevacizumab or temsirolimus with chemotherapy in patients with advanced endometrial cancer. An exploratory analysis of this study indicates that bevacizumab combined with chemotherapy is superior to temsirolimus plus chemotherapy in patients with TP53 mutated tumors as determined by next generation sequencing. The functional status of p53 in a tumor can be inferred by sequence analysis and/or by immunohistochemistry (IHC). In this next study of the GOG-086P cohort, we sought to determine whether p53 IHC alone or integrated with TP53 sequencing was similarly predictive of outcome and whether IHC was predictive of the sequence analysis. Methods: A total of 349 patients were enrolled on GOG-086P. Two hundred and forty-three patients have TP53 sequence data, and 213 have p53 protein expression data measured by IHC. Tumor histology and sequence data were correlated with p53 IHC categorizing each case as p53 negative or null, wild type (WT) or over-expressed (OE), and these variables were further correlated with progression-free survival (PFS) and overall survival (OS) in the chemotherapy + bevacizumab arms versus the chemotherapy + temsirolimus arm. Results: The majority of patients (118) had tumors with WT p53 protein expression by IHC and non-mutated or WT TP53 sequence, with expected concordance between IHC and sequence analysis. However, there were five discordant cases with OE p53 protein in the absence of a TP53 mutation. Fourteen patients had null IHC protein expression and a concordant TP53 sequence mutation expected to result in the total loss of protein. Four cases that were p53 null by IHC had a discordant WT TP53 sequence. Seventeen patients had tumors with a missense TP53 mutation but had WT p53 protein expression by IHC, reflecting a potential discordance between sequencing and IHC versus a missense mutation that did not result in loss of protein function. Six of these 17 discordant cases may be explained by co-mutations in TP53 and POLE or microsatellite instability where p53 proteins, though mutated, function more like WT. Reassuringly and as expected, high concordance was found in the 55 cases that had OE protein by IHC and a missense mutation in TP53. On integrated analysis, a TP53 mutation with p53 protein OE was associated with significantly lower hazard ratio for PFS (HR=0.41; 95% CI 0.22-0.83) and OS (HR=0.28; 95% CI 0.14-0.59), i.e., longer PFS and OS, for patients receiving bevacizumab + chemotherapy relative to temsirolimus + chemotherapy. Conclusions: Mutations in TP53, which are common in patients with advanced endometrial cancer, represent a developing platform upon which to design personalized treatment regimens. We demonstrate that IHC is often but not always predictive of the TP53 sequence. However, most cases with over-expressed p53 protein by IHC had a mutation in TP53, and bevacizumab + chemotherapy prolonged PFS and OS in such patients. Citation Format: Kristina W. Thiel, Eric J. Devor, Virginia Filiaci, Douglas A. Levine, Fanny Dao, Narciso Olvera, David Mutch, Carol Aghajanian, Kimberly K. Leslie. Correlation of immunohistochemistry with TP53 sequence and clinical outcomes in GOG-086P [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PR006.

Patient-derived organoids (PDOs) are a promising model for personalized cancer treatment. Accumulating evidence indicates that PDOs can predict clinical outcomes in patients. A handful studies in several cancer types have established that PDOs can recapitulate both histological and genomic features of the lesion from which they were derived. Additionally, PDOs can grow with high efficiency in a short time, enabling prediction of responsiveness to chemotherapy and development of more targeted therapies for patients. Our long-term goal is to create a PDO biorepository comprising all major histopathological subtypes of endometrial cancer, perform drug screening on these PDOs, and identify novel single agent and combinatorial regimens to advance into clinical trials. Herein we describe progress to date on generation of endometrial PDOs and drug screening to identify potential therapeutic options. First, we created PDO cultures from seven patients with different histological subtypes of endometrial cancer, including early stage/grade endometrioid adenocarcinoma and high-grade serous carcinoma. Next, we exposed each PDO to a panel of 23 chemotherapeutic agents and targeted drugs. Surprisingly, despite a divergent response to standard chemotherapy (platinum and taxane compounds), all PDOs showed high responsiveness to the combination of a histone deacetylase (HDAC) inhibitor and a proteasome inhibitor. Specifically, we achieved nearly complete cell killing within 72 hrs of exposure of organoid cultures to HDAC and proteasome inhibitors, with concentrations in the low nanomolar range. Similar results were achieved with different proteasome inhibitors (bortezomib and ixazomib) and HDAC inhibitors (romidepsin and belinostat). At present, these classes of agents have primarily been studied in multiple myeloma, though multiple clinical trials of combined proteasome and HDAC inhibitor therapy are active in advanced solid tumors and lymphomas. HDAC inhibitors maintain the acetylation of histones and thereby increase the expression of genes associated with apoptosis and cell cycle arrest. Proteasome inhibitors prevent proteasomal degradation, leading to upregulation of proapoptotic protein expression, cell cycle arrest, and ER stress, downregulation of angiogenesis and the pro-inflammatory protein NF-κB, and ROS generation. Mechanistically, HDAC inhibitors and proteasome inhibitors promote dual proteasome and aggresome blockage and induce apoptosis due to the accumulation of misfolded proteins. Our findings of profound tumor cell death in multiple different PDOs serve as the foundation for a future clinical trial using the HDAC inhibitor ixazomib and proteasome inhibitor romidepsin in advanced and recurrent endometrial cancers as well as high-grade serous ovarian cancer, which shares histologic and molecular features. Concomitantly, we are investigating the in vitro and in vivo effects of the combination on the induction of apoptosis and endometrial tumor regression. Citation Format: Jianling Bi, Kristina W. Thiel, Eric J. Devor, Andreea M. Newtson, Yuping Zhang, Kimberly K. Leslie. Combined histone deacetylase and proteasome inhibition in patient-derived endometrial cancer organoid models promotes massive cell death [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PO039.

Progesterone prevents development of endometrial cancers through its receptors A (PRA) and B (PRB) although the molecular mechanisms have yet to be fully characterized. In this study, we performed a global analysis of gene regulation by progesterone using human endometrial cancer cells that express heterologous progesterone receptors. Functional replicate Affymetrix microarrays encompassing 54,000 transcripts were performed for two independent experiments. Data suggest that progesterone exerts the growth-limiting effects in endometrium via down-regulation of several growth factors important in angiogenesis and cell proliferation. In particular, progesterone down-regulates the vascular endothelial growth factor (VEGF), platelet derived growth factor (PDGF), and signal transducer and activator of transcription 3 (STAT3) genes. Down-regulation of these pro-growth pathways required the co-expression of both PR isoforms A and B, whereas expression of either isoform alone resulted in unchanged or even elevated levels of PDGF and STAT3 transcripts. Our study identifies these pathways as central to the growth limiting effects of progesterone in endometrial cancer and suggests that these factors constitute important targets for future therapeutic interventions. We also provide a comprehensive catalogue of the transcriptional effects of PR isoforms in endometrial cancer for future reference. Citation Format: Kimberly K. Leslie, Stephanie M. Leiva, Donghai Dai, Yuping Zhang, Kristina W. Thiel. A comprehensive analysis of the transcriptional effects of progesterone receptor isoforms A and B identifies VEGF, PDGF and STAT3 as therapeutic targets [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PO005.

Angiogenesis plays a crucial role in tumor development and metastasis, and many cancer cells upregulate vascular endothelial growth factor-A (VEGF-A) expression to promote angiogenesis. Several clinical trials of anti-angiogenic agents have been conducted in advanced and recurrent endometrial cancer, but only bevacizumab and cediranib have demonstrated activity as single agents. Bevacizumab is a monoclonal antibody against VEGF-A, whereas cediranib is a small molecule angiokinase inhibitor. However, subsequent studies of bevacizumab+chemotherapy failed to improve outcomes compared to chemotherapy alone. We recently demonstrated that chemotherapy plus nintedanib, another angiokinase inhibitor, promotes catastrophic cell death in a xenograft model of endometrial cancer (Ebeid, et al., Nat Nanotech 2019). This effect was specific to cells with loss of function, i.e., null mutations in TP53. Here we compared the efficacy of cediranib vs. bevacizumab in p53-null gynecologic cancer models and determined the mechanism for differential sensitivity. We first performed a phosphoproteomic array of 875 phosphoproteins to define the signaling changes related to bevacizumab vs. cediranib in two p53-null cell gynecologic cancer cell lines. Several signaling events were similar between bevacizumab and cediranib, including phosphorylation of IGF1R, Abl, p70S6K and proteins in the ERK/MAPK and Wnt signaling pathways. We next tested the impact of the anti- angiogenic agents on cell viability using cancer cell lines and over 20 patient-derived organoid cultures of endometrial or ovarian cancer. Neither bevacizumab nor cediranib alone had a notable effect on cell viability, even at 1-10 µM concentrations. By contrast, cediranib but not bevacizumab promoted marked cell death when combined with chemotherapy. This effect was most pronounced in p53-null models. Cell cycle analysis demonstrated an accumulation in mitosis after treatment with cediranib+chemotherapy, consistent with abrogation of the G2/M checkpoint and subsequent mitotic catastrophe. Molecular analysis of key controllers of the G2/M cell cycle checkpoint confirmed its abrogation. Unexpectedly, the endometrial cancer cell lines were unresponsive to stimulation with VEGF-A, the target of bevacizumab. This was confirmed by the lack of ERK phosphorylation, a downstream signaling event expected after VEGF-A treatment, and was potentially caused low expression of VEGFR1 and 2. Based on these data, we conclude that an anti-angiogenic tyrosine kinase inhibitor such as cediranib has the potential to be superior to bevacizumab in combination with chemotherapy. We hypothesize that the mechanism relates to cediranib inhibition of the tumor vasculature as well as its ability to optimize the impact of chemotherapeutic agents during the cell cycle. Future clinical studies should test this hypothesis by studying the combination of standard chemotherapy with cediranib in advanced and recurrent endometrial cancer. Citation Format: Jianling Bi, Andreea M. Newtson, Eric J. Devor, Yuping Zhang, Kristina W. Thiel, Kimberly K. Leslie. Anti-angiogenic tyrosine kinase inhibitor cediranib is superior to bevacizumab in endometrial cancer due to differential effects on cell cycle regulation [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PO046.

Introduction: NRG Study GY011 is a surgical window trial of medroxy-progesterone acetate (MPA) +/- entinostat (E), a histone deacetylase inhibitor hypothesized to upregulate PR levels through epigenetic modifications. The principal goal of this trial was to determine the impact of treatment on the level as well as the activity of progesterone receptors (PR) in women with endometrial cancer. However, a reliable marker for PR activity was needed, and the most promising choice was Ki-67. To be approved for inclusion in the study as an integrated biomarker, Ki-67 had to first undergo rigorous evaluation by the participating pathologists with oversight by the NIH Biomarker Review Committee. Methods: Fifty patients were enrolled on GY011, and specimen collection was planned by biopsy prior to receiving study drugs and by tissue sample at the time of the hysterectomy. There were 42 pre-drug administration specimens with tumor for analysis and 1 without and 43 hysterectomy specimens with tumor. Ki-67 immunohistochemistry performed on pre and post drug specimens was evaluated by three experienced reviewers (MS, KC and AR) using a qualitative approach, blinded to treatment arm. Pre and post-drug samples for each individual patient were compared and scored as increased, decreased, or unchanged. The Fleiss kappa statistic was chosen as the measure of concordance as it allows for more than two reviewers and more than two categories. Percent agreement and standard weighted kappa statistics were calculated for individual pairs of reviewers. Results: There was very good concordance between reviewers using the qualitative comparison of post to pre-drug Ki-67 staining with Fleiss’ Kappa of 0.91 and weighted Kappa’s ranging between 0.85 and 0.95. Reviewers 1 and 2 had the highest level of concordance. Reviewer agreement ranged from 0.92 to 0.98. The reviewer-specific (marginal) score distributions were similar. Each reviewer scored about 80% (79.5%-82.5%) of pairs as decreasing, with the remainder split similarly between no change (7.5%-10%) and increasing (10%-12.8%). Conclusion: Based upon the high concordance between reviewers, the NIH Biomarker Review Committee approved Ki-67 as an integrated biomarker for GY011, setting the stage for its use as an approved biomarker of therapeutic effectiveness in future endometrial cancer trials. Citation Format: Megan I. Samuelson, Virginia Filiaci, Kelley Carrick, Anand Rajan KD, William H. Rodgers, Kristina W. Thiel, Linda R. Duska, Kimberly K. Leslie. Approval for the proliferative marker Ki-67 as an integrated biomarker for endometrial cancer in NRG study GY011 [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PO020.

The appropriate models to use for studies of cancer development, progression, drug response and resistance to therapy remain hotly contested. Leading models include cell lines, genetically-modified mice, patient-derived organoids and patient-derived xenografts (PDX). Progress in studies of endometrial cancer is hampered in part by the lack of extensively characterized research models. Our group recently performed next-generation sequencing on the five most commonly-studied endometrial cancer cell lines, Ishikawa H, ECC1, Hec50co, KLE and RL95-2. Our data, which includes histology, mutation screening, MLH1 promoter methylation, copy number variation and microsatellite instability (MSI), conclude that none of the five models cleanly fit any extant post-hoc classification scheme, including the four clusters defined by TCGA: POLE ultra-mutated (cluster 1), MSI hypermutated (cluster 2), copy-number low (endometrioid, cluster 3), and copy-number high (serous-like, cluster 4). We hypothesized that cell lines may not fully represent the true biology of endometrial cancer. Therefore, we have now established PDX models of endometrial cancer in hopes of creating a more representative set of research tools. We generated PDX models by implanting fresh endometrial tumor tissue (hysterectomy specimens) subcutaneously into athymic mice. Of 21 implanted tumors, 8 successfully grafted (take rate=38%). After the initial growth in mice (passage 1 or P1), tumors could be excised, cryopreserved and stored for extended periods in liquid nitrogen. Cryopreserved tumors retain the original phenotype of the P1 engrafted PDX tumor, maintain the ability to proliferate and can be utilized for subsequent larger-scale xenograft studies. Histology is preserved for 5-7 passages, including the architectural pattern of abnormal glands, sheets and occasional papillary configurations. Additionally, some PDX models could be cultured in 2D. We next undertook an extensive morphologic and molecular characterization of three PDX models, denoted EC-PDX1, 2 and 3. EC-PDX1 is serous by histology but contains a POLE mutation (P286R) along with mutations in MSH2, ARID1A and TP63, suggestive of a cluster 1 POLE ultramutated phenotype. Expression of estrogen and progesterone receptors (ER and PR) were low or absent. EC-PDX1 was sensitive to cisplatin in vivo. EC-PDX2 is a high-grade endometrioid model devoid of ER, PR and p53 by immunohistochemistry. Mutational analysis identified a frame shift mutation in exon 8 of p53, which results in a premature stop codon and supports the null staining. These data suggest that EC-PDX2 is most similar to copy-number high cluster 4. EC-PDX3 is low-grade endometrioid with robust expression of ER and PR and wild-type levels of p53. This model harbors activating mutations in PI3KCA (E545K) and KRAS (G13D) and a stop gained mutation in ARID1A. Based on these features, we bin EC-PDX3 as a copy-number low cluster 3. We conclude that PDX models may be superior to cancer cell lines for some studies of the biology and therapeutic response of endometrial cancer. Citation Format: Yuping Zhang, Eric J. Devor, Donghai Dai, Jesus Gonzalez-Bosquet, Kristina W. Thiel, Kimberly K. Leslie. Characterization of patient-derived xenograft models of endometrial cancer [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PR009.

Advanced stage serous carcinoma of the uterus typically portends a poor prognosis. There is an urgent need to augment clinical trial data with different methods of treatment evaluation before a patient is made to try and potentially fail a therapy. Patient derived organoids (PDOs) may represent such an opportunity. We describe the successful culture and drug sensitivity testing of two PDOs from patients with advanced stage serous carcinoma of the uterus who received neoadjuvant chemotherapy. Clinical response to treatment was compared with the organoid response to the same regimens. Drug sensitivity data are reported as percentage of residual cell viability 48 hours after one standard treatment dose, in which 100% viability indicates no response and 0% viability reflects complete cell death. We hypothesized that significant cell killing, i.e. a low cell viability in our assay, would be required to achieve clinical drug sensitivity in patients. Both patients were clinically platinum resistant. Patient 1 had a large burden of disease at the time of presentation, including skeletal and liver metastasis. Though she initially partially responded to triplet therapy of paclitaxel, carboplatin and bevacizumab, she ultimately had persistent unresectable disease after 6 cycles of therapy. The percent residual, post-drug cell viability for PDO-1 was 45% in response to paclitaxel, carboplatin and bevacizumab combinatorial treatment, 35% in response to paclitaxel and carboplatin, and 100% in response to single agent bevacizumab. Patient 2 received paclitaxel, carboplatin and trastuzumab because her tumor was positive for HER2neu. Though she also had an initial response to treatment, she experienced a recurrent malignant pleural effusion 3 months after completing platinum-containing triplet (trastuzumab was continued as a maintenance therapy). The percent residual cell viability for PDO-2 was 51% in response to the combination of paclitaxel and carboplatin. Previous investigators have identified PDOs as a potentially powerful functional model for treatment response. We confirm that it is feasible to establish organoids and to rapidly test agents for cell sensitivity even prior to the first post-surgical chemotherapeutic treatment cycle. For both patients, the PDO models were only moderately sensitive to the agents used for therapy, and the lack of long-term benefit achieved for these patients may have been suggested a priori by the PDO models. However, further studies are necessary to establish a threshold percent value of post-treatment cell viability that is predictive of clinical patient response. We hypothesize that such a threshold appears to be significantly below 50% from these two initial cases. Citation Format: Andreea M. Newtson, Jianling Bi, Yuping Zhang, Eric Devor, Kristina Thiel, Kimberly K. Leslie. Development of patient derived organoid cultures of two advanced stage serous carcinomas of the uterus [abstract]. In: Proceedings of the AACR Virtual Special Conference: Endometrial Cancer: New Biology Driving Research and Treatment; 2020 Nov 9-10. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(3_Suppl):Abstract nr PO025.

Objective Patients with endometrioid endometrial cancer are stratified as high risk and low risk for extrauterine disease by surgical staging. Since patients with low-grade, minimally invasive disease do not benefit from comprehensive staging, pre-surgery stratification into a risk category may prevent unnecessary surgical staging in low risk patients. Our objective was to develop a predictive model to identify risk levels using somatic mutations that could be used preoperatively. Methods We classified endometrioid endometrial cancer patients in The Cancer Genome Atlas (TCGA) dataset into high risk and low risk categories: high risk patients presented with stage II, III or IV disease or stage I with high-intermediate risk features, whereas low risk patients consisted of the remaining stage I patients with either no myometrial invasion or low-intermediate risk features. Three strategies were used to build the prediction model: 1) mutational status for each gene; 2) number of somatic mutations for each gene; and 3) variant allele frequencies for each somatic mutation for each gene. Results Each prediction strategy had a good performance, with an area under the curve (or AUC) between 61% and 80%. Analysis of variant allele frequency produced a superior prediction model for risk levels of endometrial cancer as compared to the other two strategies, with an AUC=91%. Lasso and Ridge methods identified 53 mutations that together had the highest predictability for high risk endometrioid endometrial cancer. Conclusions This prediction model will assist future retrospective and prospective studies to categorize endometrial cancer patients into high risk and low risk in the preoperative setting.

It is an undeniable truth that every patient with cancer is unique. [...]

Tumor suppressor p53 is responsible for enforcing cell cycle checkpoints at G1/S and G2/M in response to DNA damage, thereby allowing both normal and tumor cells to repair DNA before entering S and M. However, tumor cells with absent or mutated p53 are able to activate alternative signaling pathways that maintain the G2/M checkpoint, which becomes uniquely critical for the survival of such tumor cells. We hypothesized that abrogation of the G2 checkpoint might preferentially sensitize p53-defective tumor cells to DNA-damaging agents and spare normal cells with intact p53 function. The tyrosine kinase WEE1 regulates cdc2 activity at the G2/M checkpoint and prevents entry into mitosis in response to DNA damage or stalled DNA replication. AZD1775 is a WEE1 inhibitor that overrides and opens the G2/M checkpoint by preventing WEE1-mediated phosphorylation of cdc2 at tyrosine 15. In this study, we assessed the effect of AZD1775 on endometrial and ovarian cancer cells in the presence of two DNA damaging agents, the PARP1 inhibitor, olaparib, and the chemotherapeutic agent, gemcitabine. We show that AZD1775 alone is effective as a therapeutic agent against some p53 mutated cell models. Moreover, the combination of AZD1775 with olaparib or gemcitabine is synergistic in cells with mutant p53 and constitutes a new approach that should be considered in the treatment of advanced and recurrent gynecologic cancer.

Mutations in the “guardian of the genome” TP53 predominate in solid tumors. In addition to loss of tumor suppressor activity, a specific subset of missense mutations confers additional oncogenic properties. These “gain-of-function” (GOF) mutations portend poor prognosis across cancer types regardless of treatment. Our objective in this study was to identify novel therapeutic opportunities to overcome the deleterious effects of GOF TP53 mutants. Using gynecologic cancer cell lines with known TP53 mutational status, we established that treatment with a proteasome inhibitor induced cell death in cells with two recurrent GOF TP53 mutations (R175H and R248Q), and addition of a histone deacetylase inhibitor (HDACi) enhanced this effect. By contrast, p53-null cancer cells were relatively resistant to the combination. Towards understanding the mechanism, we found that proteasome inhibition promotes apoptosis of cells with TP53 GOF mutations, potentially through induction of the unfolded protein response. In line with the reported hyperstabilization of GOF p53 protein, cells treated with HDACi exhibited reduced levels of p53 protein. Together, these data form the basis for future clinical studies examining therapeutic efficacy in a preselected patient population with GOF TP53 mutations.

Mutations in the “guardian of the genome” TP53 predominate in solid tumors. In addition to loss of tumor suppressor activity, a specific subset of missense mutations confers additional oncogenic properties. These “gain-of-function” (GOF) mutations portend poor prognosis across cancer types regardless of treatment. Our objective in this study was to identify novel therapeutic opportunities to overcome the deleterious effects of GOF TP53 mutants. Using gynecologic cancer cell lines with known TP53 mutational status, we established that treatment with a proteasome inhibitor induced cell death in cells with two recurrent GOF TP53 mutations (R175H and R248Q), and addition of a histone deacetylase inhibitor (HDACi) enhanced this effect. By contrast, p53-null cancer cells were relatively resistant to the combination. Proteasome inhibition promoted apoptosis of cells with TP53 GOF mutations, potentially through induction of the unfolded protein response. In line with the reported hyperstabilization of GOF p53 protein, cells treated with HDACi exhibited reduced levels of p53 protein. Together, these data form the basis for future clinical studies examining therapeutic efficacy in a preselected patient population with GOF TP53 mutations.

The PI3K/Akt pathway is frequently dysregulated in endometrial cancer, the most common gynecologic malignancy. Emerging evidence identifies the ubiquitin ligase NEDD4 as a key regulator of the PI3K/Akt pathway via activation of insulin-like growth factor-1 receptor (IGF-1R). Our objective was to understand the role of NEDD4 in endometrial cancer.NEDD4 expression was assessed by immunohistochemistry in a tissue microarray with 77 endometrial lesions ranging from normal benign endometrium to tumor specimens of varying stage and grade. Studies were extended to a panel of eight endometrial cancer cell lines phenotypically representing the most common endometrial patient tumors.Immunohistochemistry demonstrated robust staining of NEDD4 in endometrial tumor specimens, with greater NEDD4 expression in the most aggressive tumors. Expression of NEDD4 was detected in a majority of endometrial cancer cell lines surveyed. Exogenous overexpression of murine Nedd4 in endometrial cancer cell lines with modest endogenous NEDD4 expression resulted in a significant increase in the rate of proliferation. Nedd4 overexpression also promoted an increase in cell surface localization of IGF-1R and activation of Akt. Inhibition of PI3K/Akt signaling reversed the enhanced cell growth in Nedd4-overexpressing endometrial cancer cells. In addition, the expression of NEDD4 in endometrial tumors positively correlated with the Akt downstream effector FoxM1.This study identifies NEDD4 as a putative oncogene in endometrial cancer that may augment activation of the IGF-1R/PI3K/Akt signaling pathway.

Increased expression of metadherin (MTDH, also known as AEG-1 and 3D3/LYRIC) has been associated with drug resistance, metastasis, and angiogenesis in a variety of cancers. However, the specific mechanisms through which MTDH is involved in these processes remain unclear. To uncover these mechanisms, we generated Mtdh knock-out mice via a targeted disruption of exon 3. Homozygous Mtdh knock-out mice are viable, but males are infertile. The homozygous male mice present with massive loss of spermatozoa as a consequence of meiotic failure. Accumulation of γ-H2AX in spermatocytes of homozygous Mtdh knock-out mice confirms an increase in unrepaired DNA breaks. We also examined expression of the DNA repair protein Rad18, which is regulated by MTDH at the post-transcriptional level. In testes from Mtdh exon 3-deficient mice, Rad18 foci were increased in the lumina of the seminiferous tubules. The Piwi-interacting RNA (piRNA)-interacting protein Mili was expressed at high levels in testes from Mtdh knock-out mice. Accordingly, genome-wide small RNA deep sequencing demonstrated altered expression of piRNAs in the testes of Mtdh knock-out mice as compared with wild type mice. In addition, we observed significantly reduced expression of microRNAs (miRNAs) including miR-16 and miR-19b, which are known to be significantly reduced in the semen of infertile men. In sum, our observations indicate a crucial role for MTDH in male fertility and the DNA repair mechanisms required for normal spermatogenesis.

ObjectiveExpression of the trophoblast-specific gene placenta-specific protein 1 (PLAC1) has been detected in a wide variety of cancers. However, to date, PLAC1 expression has not been shown in cervical cancer. We have carried out a preliminary study that shows for the first time that PLAC1 is expressed in cervical cancers.MethodsA total of 16 primary cervical tumors were obtained from patients shown to be human papillomavirus (HPV) 16/18 positive. Total cellular RNA, genomic DNA, and total protein were purified from each tumor. These materials were then used to determine PLAC1 expression, TP53 mutation status, and p53 expression.ResultsThe PLAC1 expression was demonstrated in all 16 primary cervical tumors. The highest levels of expression were found in the more aggressive squamous and adenosquamous histologic types compared with adenocarcinomas. Moreover, the proportion of total PLAC1 message coming from the P1 promoter, also termed the distal or cancer promoter, was significantly greater in the more aggressive squamous and adenosquamous histologic types compared with adenocarcinomas. Finally, in spite of all 16 tumors being HPV-16/18 positive, 3 of 8 squamous cell cancers and 2 of 5 adenocarcinomas expressed wild-type p53 protein. Consistent with the recently shown suppression of the PLAC1P1 promoter by wild-type p53, these p53 positive tumors displayed among the lowest P1-specific PLAC1 expression levels.ConclusionsThe PLAC1 expression has been demonstrated for the first time in cervical cancers. This preliminary study has further revealed a complex relationship between PLAC1 expression, cervical cancer histologic type, p53, and HPV type that requires further investigation.

Individual mutations in the tumor suppressor TP53 alter p53 protein function. Some mutations create a non-functional protein, whereas others confer oncogenic activity, which we term 'oncomorphic'. Since mutations in TP53 occur in nearly all ovarian tumors, the objective of this study was to determine the relationship of oncomorphic TP53 mutations with patient outcomes in advanced serous ovarian cancer patients. Clinical and molecular data from 264 high-grade serous ovarian cancer patients uniformly treated with standard platinum- and taxane-based adjuvant chemotherapy were downloaded from The Cancer Genome Atlas (TCGA) portal. Additionally, patient samples were obtained from the University of Iowa and individual mutations were analyzed in ovarian cancer cell lines. Mutations in the TP53 were annotated and categorized as oncomorphic, loss of function (LOF), or unclassified. Associations between mutation types, chemoresistance, recurrence, and progression-free survival (PFS) were calculated. Oncomorphic TP53 mutations were present in 21.3% of ovarian cancers in the TCGA dataset. Patients with oncomorphic TP53 mutations demonstrated significantly worse PFS, a 60% higher risk of recurrence (HR=1.60, 95% confidence intervals 1.09, 2.33, p=0.015), and higher rates of platinum resistance (χ(2) test p=0.0024) when compared with single nucleotide mutations not categorized as oncomorphic. Furthermore, tumors containing oncomorphic TP53 mutations displayed unique protein expression profiles, and some mutations conferred increased clonogenic capacity in ovarian cancer cell models. Our study reveals that oncomorphic TP53 mutations are associated with worse patient outcome. These data suggest that future studies should take into consideration the functional consequences of TP53 mutations when determining treatment options.

One of the prognostic factors most highly associated with ovarian cancer survival is response to initial chemotherapy. Current prediction models of chemo-response built with comprehensive molecular datasets, like The Cancer Genome Atlas (TCGA), could be improved by including clinical and outcomes data designed to study response to treatment. The objective of this study was to create a prediction model of ovarian cancer chemo-response using clinical-pathological features, and to compare its performance with a similar TCGA clinical model.

Endometrial cancer, the most common gynecologic malignancy, is a hormonally-regulated disease. Response to progestin therapy positively correlates with hormone receptor expression, in particular progesterone receptor (PR). However, many advanced tumors lose PR expression. We recently reported that the efficacy of progestin therapy can be significantly enhanced by combining progestin with epigenetic modulators, which we term "molecularly enhanced progestin therapy." What remained unclear was the mechanism of action and if estrogen receptor α (ERα), the principle inducer of PR, is necessary to restore functional expression of PR via molecularly enhanced progestin therapy. Therefore, we modeled advanced endometrial tumors that have lost both ERα and PR expression by generating ERα-null endometrial cancer cell lines. CRISPR-Cas9 technology was used to delete ERα at the genomic level. Our data demonstrate that treatment with a histone deacetylase inhibitor (HDACi) was sufficient to restore functional PR expression, even in cells devoid of ERα. Our studies also revealed that HDACi treatment results in marked downregulation of the oncogene Myc. We established that PR is a negative transcriptional regulator of Myc in endometrial cancer in the presence or absence of ERα, which is in contrast to studies in breast cancer cells. First, estrogen stimulation augmented PR expression and decreased Myc in endometrial cancer cell lines. Second, progesterone increased PR activity yet blunted Myc mRNA and protein expression. Finally, overexpression of PR by adenoviral transduction in ERα-null endometrial cancer cells significantly decreased expression of Myc and Myc-regulated genes. Analysis of the Cancer Genome Atlas (TCGA) database of endometrial tumors identified an inverse correlation between PR and Myc mRNA levels, with a corresponding inverse correlation between PR and Myc downstream transcriptional targets SRD5A1, CDK2 and CCNB1. Together, these data reveal a previously unanticipated inverse relationship between the tumor suppressor PR and the oncogene Myc in endometrial cancer.

Background. Mutation detection through genetic testing is playing an increasingly important role in personalized precision medicine in cancer. However, current tests identifying driver mutations as therapeutic targets are based on detection of common mutations in cancer genes. These tests are not patient specific and do not address intra-tumor heterogeneity. Ubiquitous intra-tumor genetic heterogeneity is a mechanism of drug resistance and cancer recurrence. Methods. Approximately 16-24 microsamples are acquired to represent the entire cancer cell population for every ovarian tumor. Each microsample consists of a few cells within a clone and is selected to substitute for a single cell and overcome the large allele dropout rate commonly seen in single genome amplification and sequencing. TEAPOT (Tumor Evolution Assay for Personalized Oncology Therapy) algorithm has been developed to reconstruct a tumor's evolutionary history through integration of whole exome sequencing data from the bulk primary tumor and 16-24 microsamples taken from the bulk tumor. The evolutionary history for an individual tumor is expressed as a rooted and binary tumor developmental tree representing the mitotic process starting from an ancestral cancer cell. Individual mutations are assigned to the cells where they originally occur. The offspring size carrying a mutation was estimated based on tumor purity, variant allele frequency and the variant's copy number. Results. TEAPOT algorithm builds a tumor's evolutionary history with the following features: 1) a tumor's evolutionary history is unique for each ovarian cancer patient; 2) the size of a tree is proportional to the number of microsamples selected; 3) 16-24 microsamples builds a tree with 5 or more generations; 4) TEAPOT detects a driver mutation's occurrence at a specific developmental stage such as 1-cell, 2-cell, 4-cell, etc; 5) The size of offspring carrying a mutation thus the intra-tumor prevalence of the mutation can be estimated; 6) multiple driver mutations can be located separately in different clones. Therefore, TEAPOT provides a quantitative description of intra-tumor genetic heterogeneity and identifies sub-clonal driver mutations in a tumor. Conclusion. TEAPOT reconstructs a tumor's developmental process thus providing a patient-specific evolutionary history. Quantitation of intra-tumor prevalence of driver mutations may inform selection of an effective targeted agent and may provide rationale for cocktail treatment targeting multiple driver mutations simultaneously. TEAPOT can be also used for other solid and liquid cancers. A driver mutation's role in a patient may be functionally defined and quantitated based upon the growth advantage (fitness) it confers on its host cells in the reconstructed tumor evolutionary history. Citation Format: Jianshu Zhang, Helaman Escobar, Harshmi Shah, Mickey Miller, Yang Wei, Kristen Schneider, Michelle Knirr, Kenny Day, Christopher Johnson, Baoli Yang, Eric Devor, Kristina Thiel, Lincoln Nadauld, Kimberly Leslie, Donghai Dai. Development of TEAPOT algorithm to reconstruct individual ovarian tumors' evolutionary history based upon bulk and single cell whole exome sequencing data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 219.

e24215Background: Therapeutic efficacy is often impeded by drug resistance arising from ubiquitous intra-tumor genetic heterogeneity. However, commonly used tests for identification of driver mutat...

Disruption of estrogen signaling is widely associated with the development of breast, endometrial, and ovarian cancers. As a multifunctional mediator of carcinogenesis, metadherin (MTDH)/AEG-1 overexpression has been associated with numerous types of cancers, with reported roles in tumor initiation, proliferation, invasion, metastasis and chemoresistance. At the molecular level, MTDH has been shown to interact with proteins that drive tumorigenesis, including NF-κB, PLZF, BCCIPα and SND1. Through analysis of the Cancer Genome Atlas (TCGA) datasets for ER-positive endometrial and breast cancers, we found that over 25% of all gene expression correlated with MTDH. Using Affymetrix microarrays, we characterized the differences in gene expression between estrogen-treated parental and MTDH-deficient endometrial and breast cancer cells. We also explored a possible interaction between MTDH and ER by immunoprecipitation and found that MTDH and ER associated in both breast and endometrial cancer cells in response to estrogen. Reciprocal co-immunoprecipitation analysis demonstrated that acute estrogen stimulation promoted the interaction of MTDH with ER in the nucleus. These data suggest that MTDH and ERα interact in the nucleus with estrogen treatment, and MTDH/ER co-regulated genes may have functions in drug resistance, metastasis and tumor progression. Citation Format: Xiangbing Meng, Yujun Li, Jesus Gonzalez Bosquet, shujie yang, Kristina W. Thiel, Kimberly K. Leslie. Role of MTDH in estrogen-regulated gene expression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3619. doi:10.1158/1538-7445.AM2017-3619

Introduction: As a tumor suppressor in the endometrium, progesterone and its synthesized analogue progestin have a long history as a treatment for endometrial cancer. Loss of progesterone receptor (PR) in endometrial cancer leads to therapeutic failure, and our group has identified several mechanisms underlying PR loss, most notably epigenetic silencing of PR transcription. Recently, a Finnish group demonstrated that progestin therapy in premenopausal women is associated with a lower incidence of not only endometrial cancer, but also ovarian, pancreatic and lung cancers. This unexpected protective function of progestin in organs outside of the reproductive system led us to hypothesize that tumor progression effects in endometrial, ovarian, pancreatic and lung cancer is occurs due to the loss of progesterone’s protective effects. Methods and results: Supporting a potential protective role of progesterone, we discovered that PR is downregulated in multiple tumors, including breast, endometrial, ovarian, cervical, pancreatic and lung cancers, and loss of PR was consistently associated with a poor prognosis based on analysis of the Oncomine database. Similarly, PR expression was low in multiple ovarian, pancreatic and lung cancer cells. Mechanistic studies revealed that PR downregulation was mediated by the polycomb-repressor complex and DNA methylation, though the precise mechanism differed among cell lines and cancer types. Treatment with epigenetic modulators, which are FDA-approved for multiple myeloma, restored functional PR expression at both the mRNA and protein level and promoted marked cell death through induction of apoptosis. . Moreover, overexpression of PR or treatment with epigenetic modulators in combination with progesterone enhanced this effect, indicating a key protective role for progesterone signaling through PR. Conclusion: These data suggest loss of PR may be a general theme for tumorigenesis or disease progression in multiple tumor types beyond the classically studied endometrial cancer. In addition, the epigenetic mechanisms contributing to PR downregulation in endometrial tumors were recapitulated in other tumor types, including ovarian, pancreatic and lung tumors. These studies collectively set the stage for use of progestin therapy in combination with epigenetic modulators, a concept we term “molecularly enhanced progestin therapy,” as a novel therapeutic approach for many cancers. This combinatorial strategy has the power to revitalize the use of epigenetic modulators, which have proved disappointing in solid tumors, as an approach to resensitize cancer cells to a tumor suppressor. Citation Format: Yiyang Li, Tamar Kavlashvili, Cheng Huang, Yuping Zhang, Xiangbing Meng, Kristina Thiel, Kimberly Leslie, Shujie Yang. Loss of progesterone receptor through epigenetic regulation is associated with poor prognosis in multiple solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2556. doi:10.1158/1538-7445.AM2017-2556

Cancer-testis (CT) antigens are a large family of genes that are selectively expressed in human testis germ cells, overexpressed in a variety of tumors and predominantly located on the X chromosome. To date, all known CT antigens are protein-coding genes. Here, we identify miR-888 as the first miRNA with features characteristic of a CT antigen. In a panel of 21 normal human tissues, miR-888 expression was high in testes and minimal or absent in all other examined tissues. In situ hybridization localized miR-888 expression specifically to the early stages of sperm development within the testes. Using The Cancer Genome Atlas database, we discovered that miR-888 was predominately expressed in endometrial tumors, with a significant association to high-grade tumors and increased percent invasion. In a separate panel of endometrial tumor specimens, we validated overexpression of miR-888 by real-time polymerase chain reaction. In addition, miR-888 expression was highest in endometrial carcinosarcoma, a rare and aggressive type of endometrial tumor. Moreover, we identified the progesterone receptor (PR), a potent endometrial tumor suppressor, as a direct target of miR-888. These data define miR-888 as the first miRNA CT antigen and a potential mediator of an aggressive endometrial tumor phenotype through down-regulation of PR.