Mariani, Andrea

INTRODUCTION: To compare two published risk stratification criteria (Milwaukee Model vs. Mayo Criteria) to predict lymphatic dissemination (LD) in endometrioid endometrial cancer (EC). METHODS: Patients who underwent surgery for EC between 1/1/2004-9/30/2013 and had endometrioid histology without stage IV disease were included and classified as either low-risk or at-risk for LD using two independent risk stratification systems. LD was defined as positive nodes at time of surgery or lymph node recurrence within 2 years of surgery after negative lymph node assessment (LNA) or when LNA was not performed. False positive (FP) and false negative (FN) rates for each risk model were calculated. RESULTS: Among 1103 patients, 81 (7.3%) had LD (72 positive LN and 9 LN recurrences). Most patients (90.2%) had stage I disease. Integration of the Milwaukee Model was associated with a low at-risk rate for LD (38.1%) but a relatively high FN rate (13.6%, 95% CI 7.0-23.0). Conversely, the traditional Mayo Criteria using a tumor diameter (TD) cutoff of ≤2 cm (vs >2 cm) had a higher at-risk rate for LD (69.5%) but a FN rate of 0.0% (95% CI, 0-4.5). Modifying Mayo Criteria using a TD cutoff of ≤3 cm (vs >3 cm) identified fewer women at-risk than using ≤2 cm cutoff (56.8% vs. 69.5%), but had a higher FN rate of 3.7% (95% CI, 0.8-10.4). CONCLUSIONS: The Milwaukee Model had the lowest at-risk rate of LD but an unacceptable FN rate. Modifying the Mayo Criteria by increasing the TD cutoff from the traditional ≤2 cm to ≤3 cm would spare an estimated 12.7% of patients LNA, but the accompanying FN rate is unacceptably high. The traditional Mayo Criteria for low-risk EC remains the most accurate in determining which patients LNA can be omitted.

Abstract In this review, we aimed to provide insight into the microbiome and its association with endometrial and ovarian cancer and their risk factors. We reviewed the literature focusing on the relationship between the microbiome and cancer, as well as the relationship between gynecologic diseases and cancers. The human body contains different kinds of microorganisms in various body parts, which is termed the microbiome . The number of microorganisms that live in and on the human body is greater than that of the human germ and somatic cells by 10‐fold. The relationship between a human and their microbiome is complex; it is also one of the most important components of homeostasis. Impairment of microbiome–host homeostasis has been associated with obesity, several cancers, preterm labor, inflammatory and allergic conditions and neurodevelopmental disorders. Direct and strong causal relationships have been established for several cancers and microorganisms, such as gastric lymphoma and Helicobacter pylori infection. Interestingly, eradication of the infectious agents has also been shown to be therapeutic. The association between cancer and the microbiome, however, is more complicated than a 1 bacteria–1 cancer model, and a shift in a healthy microbiome can result in various cancers via inflammation, change in microenvironment or DNA‐damaging toxins. The human microbiome is an integral part of homeostasis. Understanding the mechanisms that cause dysbiosis will enable us to elucidate the pathways that result in malignancy and investigate new treatment modalities.

Abstract Background Advances in next-generation DNA sequencing technologies are now enabling detailed characterization of sequence variations in cancer genomes. With whole-genome sequencing, variations in coding and non-coding sequences can be discovered. But the cost associated with it is currently limiting its general use in research. Whole-exome sequencing is used to characterize sequence variations in coding regions, but the cost associated with capture reagents and biases in capture rate limit its full use in research. Additional limitations include uncertainty in assigning the functional significance of the mutations when these mutations are observed in the non-coding region or in genes that are not expressed in cancer tissue. Results We investigated the feasibility of uncovering mutations from expressed genes using RNA sequencing datasets with a method called Variant Detection in RNA(VaDiR) that integrates 3 variant callers, namely: SNPiR, RVBoost, and MuTect2. The combination of all 3 methods, which we called Tier 1 variants, produced the highest precision with true positive mutations from RNA-seq that could be validated at the DNA level. We also found that the integration of Tier 1 variants with those called by MuTect2 and SNPiR produced the highest recall with acceptable precision. Finally, we observed a higher rate of mutation discovery in genes that are expressed at higher levels. Conclusions Our method, VaDiR, provides a possibility of uncovering mutations from RNA sequencing datasets that could be useful in further functional analysis. In addition, our approach allows orthogonal validation of DNA-based mutation discovery by providing complementary sequence variation analysis from paired RNA/DNA sequencing datasets.

Abstract Endometrial cancer studies have led to a number of well-defined but mechanistically unconnected genetic and environmental risk factors. One of the emerging modulators between environmental triggers and genetic expression is the microbiome. Because of the inflammatory display in endometrial cancer, we set out to inquire about the composition of the uterine microbiome and its putative role in endometrial cancer. We undertook a pilot study of the microbiome in 238 samples taken from different locations along the entire female reproductive tract in hysterectomy patients with endometrial cancer (n=17), patients with endometrial hyperplasia (n=4) and patients afflicted with a benign uterine condition (n=10). Samples were collected aseptically both in the operating room and the pathology laboratory. Following DNA extraction, the 16S rDNA (V3-V5 region) microbial gene was amplified and sequenced to identify the microbiota present. The microbiome sequencing revealed a structural microbiome shift in the cancer and hyperplasia cases, distinguishable from the benign cases (p=0.01). Several taxa were found to be significantly enriched in samples belonging to the endometrial cancer cohort: Firmicutes (Anaerostipes, ph2, Dialister, Peptoniphilus, 1-68, Ruminococcus, and Anaerotruncus), Spirochaetes (Treponema), Actinobacteria (Atopobium), Bacteroidetes (Bacteroides and Porphyromonas), and Proteobacteria (Arthrospira). Of particular relevance, the simultaneous presence of Atopobium vaginae and an uncultured representative of the Porphyromonas sp. (99% match to P.somerae) were found to be predictive of the disease status (sensitivity 73-93%; specificity 67-90%, AUC 0.918). Sensitivity is increased to 100% if combined with a high vaginal pH (>4.5), although specificity is decreased to 60%. Although our numbers are low, the microbiome signature of hyperplasia was even more distinct from benign disease than endometrial cancer itself. This is suggestive of an early microbiome role in the disease. Given the pathogenic profile of the identified microorganisms these findings raise the possibility of a microbiome role in the etiology or progression of endometrial cancer that should be further investigated. Citation Format: Marina Walther-Antonio, Jun Chen, Francesco Multinu, Alexis Hokenstad, Tammy Distad, Heidi Cheek, Gary Keeney, Douglas Creedon, Heidi Nelson, Andrea Mariani, Nicholas Chia. Endometrial cancer microbiome signature and its implications for carcinogenesis. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Targeting the Vulnerabilities of Cancer; May 16-19, 2016; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(1_Suppl):Abstract nr B45.

10 Background: Our objective was to evaluate the cost-utility of 3 lymphadenectomy (LND) strategies in the treatment of low-risk endometrial cancer (EC). Methods: A decision analysis model compared 3 LND strategies in women undergoing minimally invasive surgery (MIS) for EC: 1) routine LND in all pts; 2) selective LND based on intraoperative frozen section, in which 60% of pts undergo LND; and 3) sentinel lymph node mapping (SLN) based on a published algorithm, in which 15% of pts map unilaterally (requiring a contralateral LND) and 5% don’t map (requiring bilateral LND). Costs and outcomes were obtained from published literature and Medicare reimbursement rates. Costs categories consisted of hospital, physician, operating room, pathology, and lymphedema treatment. Effectiveness was defined as 3-year disease-specific survival adjusted for the impact of lymphedema (utility = 0.8) on quality of life. Incremental cost-effectiveness ratios (ICERs) per quality-adjusted life years (QALYs) gained were calculated. QALYs and costs were discounted at an annual 3% rate. Results: For the estimated 40,000 women undergoing surgery for low-risk EC each year in the US, the annual cost of routine LND, selective LND, and SLN is $722 million, $681 million, and $656 million respectively. In the base case scenario, routine LND had a cost of $18,041 and an effectiveness of 2.79 QALYs. Selective LND had a cost of $17,036 and an effectiveness of 2.81 QALYs, while SLN had a cost of $16,401 and an effectiveness of 2.87 QALYs. With a difference of $1,005 and 0.02 QALYs, selective LND was both less costly and more effective than routine LND, dominating it. However, with the lowest cost and highest effectiveness, SLN dominated the other modalities and was the most cost-effective strategy. No ICER could be determined. These findings were robust to multiple one- and two-way sensitivity analyses varying the rates of lymphedema and LND, surgical approach (open or MIS), lymphedema utility, and costs. Conclusions: Compared to routine and selective LND, SLN had the lowest cost and highest quality-adjusted survival, making it the most cost-effective strategy in the management of low-risk EC.