Treatment of Early Stage High-Risk Endometrioid-Type Endometrial Cancer and Patterns of Disease Relapse: A Retrospective Analysis

Purpose

A recently published randomized controlled trial has demonstrated that in patients with endometrial cancer with high-risk features, the addition of chemotherapy to radiation therapy, compared with radiation therapy alone, resulted in a significant improvement in failure-free survival. However, in the study, the effect of chemotherapy was limited to stage III patients, and the benefit was less pronounced in stage I and II patients. Our study aims to investigate the current practice of treatment and clinical outcomes in stage I high-risk endometrioid-type endometrial cancer.

Methods and Materials

A single-center retrospective study was conducted on patients with stage I high-risk endometrioid-type endometrial cancer without serous or clear cell features who have undergone hysterectomy between 1998 and 2015. Data on patients, tumor, and treatments were collected and correlated with clinical outcomes.

Results

A total of 1,572 patients with stage I disease were identified and 46 patients who met the inclusion criteria were selected for final analysis. The median age at diagnosis was 63 years (range, 49-86 years) and median follow-up was 5.9 years. Among the entire cohort, 40 (87.0%) patients underwent adjuvant radiation therapy, of which 36 (78.2%) patients underwent external beam radiation therapy and 4 (8.7%) patients underwent vaginal brachytherapy. Two of the 40 patients who received adjuvant radiation therapy also received adjuvant chemotherapy. Six (13.0%) patients received no adjuvant treatment. Of the 46 patients, the cumulative risk of distant recurrence was 19.6%, and only 1 patient (2.2%) recurred within pelvis (perirectal lymph node). Five-year disease-free survival and overall survival rates were 73.1% and 80.1%, respectively.

Conclusions

Adjuvant radiation therapy in stage I endometrioid-type endometrial cancer patients with high-risk features resulted in high rates of locoregional disease control, and most recurrences occurred at distant sites. Effective systemic therapy may be indicated in this patient population to further reduce the risk of distant relapses and improve survival.

Appendectomy at the time of ovarian cancer staging increases infectious complications: a National Surgical Quality Improvement Program (NSQIP) propensity score-stratified analysis

OBJECTIVE

Despite evidence that routine elective appendectomy at the time of staging surgery for ovarian cancer is not warranted, it remains common practice in gynecology oncology. The objective of this study was to compare the surgical complication rates of women undergoing surgery for suspected early-stage ovarian malignancy with concurrent appendectomy to those who did not undergo appendectomy.

METHODS

The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) 2010-2017 data were used to analyze the patient characteristics and outcomes of women undergoing staging surgeries for suspected early ovarian cancer. Women with pre-operative ascites, disseminated cancer, concurrent bowel surgery, or cytoreductive surgery were excluded. Multivariate logistic regression and propensity score stratification were used to assess 30-day post-operative outcomes.

RESULTS

Three hundred and fifty-one of 2100 women (16.7%) underwent concurrent appendectomy at time of surgery, and the post-operative infection rate was 7.8%. Women with concurrent appendectomy had twice the odds of post-operative infection (OR 2.03, 95% CI 1.26 to 3.27) after controlling for clinically important risk factors. The increased odds of infection remained significant after propensity score stratification (OR 2.04, 95% CI 1.27 to 3.3). No association was observed with length of hospital stay, readmission, return to the operating room, or post-operative death.

CONCLUSIONS

Appendectomy at time of surgery for suspected early-stage ovarian cancer is associated with significantly elevated odds of post-operative infection. Unless there is clinical suspicion for involvement, routine appendectomy should be abandoned in clinical practice.

0439 Nonlinear Dynamics Forecasting for Personalize Prognosis of Obstructive Sleep Apnea Onsets

Introduction

The emphasis on disease prevention, early detection, and preventive treatments will revolutionize the way sleep clinicians evaluate their patients. Obstructive Sleep Apnea (OSA) is one of the most prevalent sleep disorders with approximately 100 millions patients been diagnosed worldwide. The effectiveness of sleep disorder therapies can be enhanced by providing personalized and real-time prediction of OSA episode onsets. Previous attempts at OSA prediction are limited to capturing the nonlinear, nonstationary dynamics of the underlying physiological processes.

Methods

This paper reports an investigation into heart rate dynamics aiming to predict in real time the onsets of OSA episode before the clinical symptoms appear. The method includes (a) a representation of a transition state space network to characterize dynamic transition of apneic states (b) a Dirichlet-Process Mixture-Gaussian-Process prognostic method for estimating the distribution of the time estimate the remaining time until the onset of an impending OSA episode by considering the stochastic evolution of the normal states to an anomalous (apnea)

Results

The approach was tested using three datasets including (1) 20 records from 14 OSA subjects in benchmark ECG apnea databases (Physionet.org), (2) records of eight subjects from previous work. The average prediction accuracy (R2) is reported as 0.75%, with 87% of observations within the 95% confidence interval. Estimated risk indicators at 1 to 3 min till apnea onset are reported as 85.8 %, 80.2 %, and 75.5 %, respectively.

Conclusion

The present prognosis approach can be integrated with wearable devices to facilitate individualized treatments and timely prevention therapies.

Support

N/A

Modeling and Characterization of Scaling Factor of Flexible Spiral Coils for Wirelessly Powered Wearable Sensors

Wearable sensors are a topic of interest in medical healthcare monitoring due to their compact size and portability. However, providing power to the wearable sensors for continuous health monitoring applications is a great challenge. As the batteries are bulky and require frequent charging, the integration of the wireless power transfer (WPT) module into wearable and implantable sensors is a popular alternative. The flexible sensors benefit by being wirelessly powered, as it not only expands an individual's range of motion, but also reduces the overall size and the energy needs. This paper presents the design, modeling, and experimental characterization of flexible square-shaped spiral coils with different scaling factors for WPT systems. The effects of coil scaling factor on inductance, capacitance, resistance, and the quality factor (Q-factor) are modeled, simulated, and experimentally validated for the case of flexible planar coils. The proposed analytical modeling is helpful to estimate the coil parameters without using the time-consuming Finite Element Method (FEM) simulation. The analytical modeling is presented in terms of the scaling factor to find the best-optimized coil dimensions with the maximum Q-factor. This paper also presents the effect of skin contact with the flexible coil in terms of the power transfer efficiency (PTE) to validate the suitability as a wearable sensor. The measurement results at 405 MHz show that when in contact with the skin, the 20 mm× 20 mm receiver (RX) coil achieves a 42% efficiency through the air media for a 10 mm distance between the transmitter (TX) and RX coils.

Loss of FOXM1 in macrophages promotes pulmonary fibrosis by activating p38 MAPK signaling pathway

Idiopathic pulmonary fibrosis (IPF) is a chronic disease with high mortality and is refractory to treatment. Pulmonary macrophages can both promote and repress fibrosis, however molecular mechanisms regulating macrophage functions during fibrosis remain poorly understood. FOXM1 is a transcription factor and is not expressed in quiescent lungs. Herein, we show that FOXM1 is highly expressed in pulmonary macrophages within fibrotic lungs of IPF patients and mouse fibrotic lungs. Macrophage-specific deletion of Foxm1 in mice (myFoxm1-/-) exacerbated pulmonary fibrosis. Inactivation of FOXM1 in vivo and in vitro increased p38 MAPK signaling in macrophages and decreased DUSP1, a negative regulator of p38 MAPK pathway. FOXM1 directly activated Dusp1 promoter. Overexpression of DUSP1 in FOXM1-deficient macrophages prevented activation of p38 MAPK pathway. Adoptive transfer of wild-type monocytes to myFoxm1-/- mice alleviated bleomycin-induced fibrosis. Altogether, contrary to known pro-fibrotic activities in lung epithelium and fibroblasts, FOXM1 has anti-fibrotic function in macrophages by regulating p38 MAPK.

High-Statistics Measurement of Neutrino Quasielasticlike Scattering at 6 GeV on a Hydrocarbon Target

We measure neutrino charged-current quasielasticlike scattering on hydrocarbon at high statistics using the wideband Neutrinos at the Main Injector beam with neutrino energy peaked at 6 GeV. The double-differential cross section is reported in terms of muon longitudinal (p_{∥}) and transverse (p_{⊥}) momentum. Cross section contours versus lepton momentum components are approximately described by a conventional generator-based simulation, however, discrepancies are observed for transverse momenta above 0.5  GeV/c for longitudinal momentum ranges 3-5 and 9-20  GeV/c. The single differential cross section versus momentum transfer squared (dσ/dQ_{QE}^{2}) is measured over a four-decade range of Q^{2} that extends to 10  GeV^{2}. The cross section turnover and falloff in the Q^{2} range 0.3-10  GeV^{2} is not fully reproduced by generator predictions that rely on dipole form factors. Our measurement probes the axial-vector content of the hadronic current and complements the electromagnetic form factor data obtained using electron-nucleon elastic scattering. These results help oscillation experiments because they probe the importance of various correlations and final-state interaction effects within the nucleus, which have different effects on the visible energy in detectors.

The Impact of High-Dose-Rate Brachytherapy: Measuring Clinical Outcomes in the Primary Treatment of Cervical Cancer

Purpose

Radical concurrent chemoradiotherapy with combined external beam radiotherapy (EBRT) and brachytherapy is used to treat locally advanced cervical cancer. Our institution has transitioned to high-dose-rate (HDR) intracavitary brachytherapy (ICBT) from low-dose-rate (LDR) brachytherapy in 2008, and a review was conducted on the effect of this change on patient outcomes.

Methods and Materials

A single-arm retrospective chart review was performed on locally advanced (Fédération Internationale de Gynécologie et d’Obstétrique stage IB-IVA) patients with cervical cancer treated with combined external beam radiation therapy and HDR-ICBT with curative intent between 2008 and 2014. Clinical outcomes were evaluated, and multivariate analysis was performed to identify prognostic factors.

Results

Of the 76 patients selected, median age was 47.9 years and median follow-up was 5.2 years. Thirteen patients (17.1%) developed locoregional recurrence and 23 patients (30.3%) patients developed distant recurrence. Five-year progression-free survival and overall survival were 63.7% and 69.3%, respectively. A significant survival difference was found between stages (P < .001). Multivariate analysis found nodal involvement was strongly associated with poorer survival (P = .007).

Conclusions

Our experience with the transition to HDR-ICBT as part of concurrent chemoradiotherapy in treatment of locally advanced cervical cancer resulted in acceptable long-term outcomes and toxicity to that of LDR brachytherapy. Potential further improvement of treatment outcomes for patients may be possible with image guided brachytherapy and the addition of effective systemic therapy.

Anaerobic peroxisomes in Mastigamoeba balamuthi

The adaptation of eukaryotic cells to anaerobic conditions is reflected by substantial changes to mitochondrial metabolism and functional reduction. Hydrogenosomes belong among the most modified mitochondrial derivative and generate molecular hydrogen concomitant with ATP synthesis. The reduction of mitochondria is frequently associated with loss of peroxisomes, which compartmentalize pathways that generate reactive oxygen species (ROS) and thus protect against cellular damage. The biogenesis and function of peroxisomes are tightly coupled with mitochondria. These organelles share fission machinery components, oxidative metabolism pathways, ROS scavenging activities, and some metabolites. The loss of peroxisomes in eukaryotes with reduced mitochondria is thus not unexpected. Surprisingly, we identified peroxisomes in the anaerobic, hydrogenosome-bearing protist Mastigamoeba balamuthi We found a conserved set of peroxin (Pex) proteins that are required for protein import, peroxisomal growth, and division. Key membrane-associated Pexs (MbPex3, MbPex11, and MbPex14) were visualized in numerous vesicles distinct from hydrogenosomes, the endoplasmic reticulum (ER), and Golgi complex. Proteomic analysis of cellular fractions and prediction of peroxisomal targeting signals (PTS1/PTS2) identified 51 putative peroxisomal matrix proteins. Expression of selected proteins in Saccharomyces cerevisiae revealed specific targeting to peroxisomes. The matrix proteins identified included components of acyl-CoA and carbohydrate metabolism and pyrimidine and CoA biosynthesis, whereas no components related to either β-oxidation or catalase were present. In conclusion, we identified a subclass of peroxisomes, named "anaerobic" peroxisomes that shift the current paradigm and turn attention to the reductive evolution of peroxisomes in anaerobic organisms.

A comparison of disease recurrence between robotic versus laparotomy approach in patients with intermediate-risk endometrial cancer

OBJECTIVE

Advances in minimally invasive surgery, particularly with robotic surgery, have resulted in improved peri-operative outcomes in patients with endometrial cancer. In addition, randomized trials have shown that addition of adjuvant radiotherapy following surgery improves loco-regional disease control among stage I intermediate-risk endometrial cancer patients. We aimed to investigate the efficacy and safety of combined treatment of robotic surgery and adjuvant radiotherapy in this patient population.

METHODS

A single-center retrospective study was conducted on stage I endometrioid-type endometrial cancer patients with intermediate-risk features (<50% myometrial involvement and grade 2-3 histopathology, or >50% myometrial involvement and grade 1-2 histopathology) treated with hysterectomy and adjuvant radiotherapy between January 2010 and December 2015. Data on surgery and radiotherapy were collected and correlated with clinical and surgical outcomes using log-rank. Oncologic outcomes were then compared between robotic surgery and laparotomy.

RESULTS

A total of 179 intermediate-risk endometrial cancer patients were identified, of whom 135 (75.4%) received adjuvant radiotherapy and were included in the final analysis. Median age at diagnosis was 63 years (range 40-89) and median follow-up was 4.7 years (range 1.1-8.8). Seventy-seven patients (57%) underwent robotic surgery and 58 patients (43%) underwent laparotomy. Surgical staging with lymph node dissection was performed on 79.3% of the patients. The majority of patients (79.3%) received vaginal brachytherapy as part of adjuvant radiotherapy, while 20.7% received external-beam radiotherapy. Among the entire cohort, eight (5.9%) patients recurred and all eight recurrences occurred in the robotic surgery group; no recurrence was found in the laparotomy group. This translated into 5 year disease-free survival of 100% in the laparotomy group, compared with 91.8% in the robotic surgery group (p=0.005). No difference in overall survival was found between the two groups (p=0.51).

CONCLUSION

Oncologic outcomes for stage I intermediate-risk endometrial cancer treated with hysterectomy and adjuvant radiotherapy at our institution are comparable to the previously published literature. The higher recurrence rate observed with robotic surgery at our institution has not been observed previously and requires further investigation.

Synthetic aperture magnetometry and excess kurtosis mapping of Magnetoencephalography (MEG) is predictive of epilepsy surgical outcome in a large pediatric cohort

OBJECTIVE

Resective surgery is the most effective treatment option for patients with refractory epilepsy; however identification of patients who will benefit from epilepsy surgery remains challenging. Synthetic aperture magnetometry and excess kurtosis mapping (SAM(g2)) of magnetoencephalography (MEG) is a non-invasive tool that warrants further examination in the pediatric epilepsy population. Here, we examined the utility of MEG with SAM(g2) to determine if MEG epileptiform foci correlates with surgical outcome and to develop a predictive model incorporating MEG information to best assess likelihood of seizure improvement/freedom from resective surgery.

METHODS

564 subjects who had MEG at the Children's Hospital of Philadelphia between 2010-2015 were screened. Clinical epilepsy history and prior electrographic records were extracted and reviewed and correlated with MEG findings. MEG assessments were made by both a neurologist and neuroradiologist. Predictive models were developed to assess the utility of MEG in determining Engel class at one year and five years after resective epilepsy surgery.

RESULTS

The number of MEG spike foci was highly associated with Engel class outcome at both one year and five years; however, using MEG data in isolation was not significantly predictive of 5 year surgical outcome. When combined with clinical factors; scalp EEG (single ictal onset zone), MRI (lesional or not), age and sex in a logistic regression model MEG foci was significant for Engel class outcome at both 1 year (p = 0.03) and 5 years (0.02). The percent correctly classified for Engel class at one year was 78.43% and the positive predictive value was 71.43.

SIGNIFICANCE

MEG using SAM(g2) analysis in an important non-invasive tool in the identification of those patients who will benefit most from surgery. Integrating MEG data analysis into pre-surgical evaluation can help to predict epilepsy outcome after resective surgery in the pediatric population if utilized with skilled interpretation.

The FOXM1 Inhibitor RCM-1 Decreases Carcinogenesis and Nuclear β-Catenin

The oncogenic transcription factor FOXM1 has been previously shown to play a critical role in carcinogenesis by inducing cellular proliferation in multiple cancer types. A small-molecule compound, Robert Costa Memorial drug-1 (RCM-1), has been recently identified from high-throughput screen as an inhibitor of FOXM1 in vitro and in mouse model of allergen-mediated lung inflammation. In the present study, we examined antitumor activities of RCM-1 using tumor models. Treatment with RCM-1 inhibited tumor cell proliferation as evidenced by increased cell-cycle duration. Confocal imaging of RCM-1-treated tumor cells indicated that delay in cellular proliferation was concordant with inhibition of FOXM1 nuclear localization in these cells. RCM-1 reduced the formation and growth of tumor cell colonies in the colony formation assay. In animal models, RCM-1 treatment inhibited growth of mouse rhabdomyosarcoma Rd76-9, melanoma B16-F10, and human H2122 lung adenocarcinoma. RCM-1 decreased FOXM1 protein in the tumors, reduced tumor cell proliferation, and increased tumor cell apoptosis. RCM-1 decreased protein levels and nuclear localization of β-catenin, and inhibited protein-protein interaction between β-catenin and FOXM1 in cultured tumor cells and in vivo Altogether, our study provides important evidence of antitumor potential of the small-molecule compound RCM-1, suggesting that RCM-1 can be a promising candidate for anticancer therapy.

Robotic sentinel node mapping in clinical stage 1 endometrial cancer using methylene blue dyes using the robotic platform

PURPOSE

Endometrial cancer is a surgically staged cancer. We examined our preliminary experience with sentinel lymph node (SLN) mapping in early stage endometrial cancer using methylene blue dyes.

METHOD

Retrospective review of all clinically stage 1 endometrial cancer staged surgically using the robotic platform. Logistic regression models were built to predict nodal metastasis taking into account age, grade, histology, depth of myometrial invasion, cervical involvement, and use of SLN mapping.

RESULTS

Four hundred sixty-nine patients were reviewed. Sixty patients had SLN mapping (13%). Four hundred nine patients underwent standard lymphadenectomy with five documented nodal metastasis (1.2%). Five nodal metastasis (8.3%) were seen in the SLN patients. In the logistic model, the application of SLN mapping was significantly associated with diagnosed nodal metastasis (OR 7.74; 95% CI, 2.04-29.3; P = .003) together with nonendometroid histology (OR 5.05; 95% CI, 1.27-20.12; P = .022).

CONCLUSION

SLN mapping protocol using methylene blue significantly identifies more nodal metastasis than standard lymphadenectomy.