Metabolic Effects of Healing Touch During Cervical Cancer Treatment: An Exploratory Analysis.

Introduction: Cancer treatment with chemotherapy frequently leads to side effects such as fatigue, pain, nausea, and anxiety. Healing Touch is a non-invasive complementary therapy often used by cancer patients to address side effects of treatment. To better inform the use of complementary therapies, there is a need to understand the biological mechanisms underlying the effects of such treatments.

A Natural Language Processing Method Identifies an Association Between Bacterial Communities in the Upper Genital Tract and Ovarian Cancer.

Bacterial communities within the female upper genital tract may influence the risk of ovarian cancer. In this retrospective cohort pilot study, we aim to detect different communities of bacteria between ovarian cancer and normal controls using topic modeling, a natural language processing tool. RNA was extracted and analyzed using the VITCOMIC2 pipeline.

Identifying ovarian cancer with machine learning DNA methylation pattern analysis.

The majority of patients with epithelial ovarian cancer (EOC) continue to be diagnosed at an advanced stage despite great advances in this disease treatment. To impact overall survival, we need better methods of EOC early diagnosis. We performed a case control study to predict high-grade serous cancer (HGSC) using artificial intelligence methodology and methylated DNA from surgical specimens.

Anti-NMDA Receptor Encephalitis in the Setting of an Immature Ovarian Teratoma: A Case Report and Literature Review.

We report a case of a 19-year-old diagnosed with anti-NMDAR encephalitis in relation to an immature ovarian teratoma. Ultimately, chemotherapy resulted in her improvement despite poor performance status. We provide a literature review of the published cases of anti-NMDAR encephalitis caused by immature teratomas and summarize their treatment.

Identification of Ovarian High-Grade Serous Carcinoma with Mitochondrial Gene Variation.

Women diagnosed with advanced-stage ovarian cancer have a much worse survival rate than women diagnosed with early-stage ovarian cancer, but the early detection of this disease remains a clinical challenge. Some recent reports indicate that genetic variations could be useful for the early detection of several malignancies. In this pilot observational retrospective study, we aimed to assess whether mitochondrial DNA (mtDNA) variations could discriminate the most frequent type of ovarian cancer, high-grade serous carcinoma (HGSC), from normal tissue.

Metformin for patients with advanced stage ovarian cancer: A randomized phase II placebo-controlled trial.

Objective: The primary aim of this study was to determine if metformin, an oral biguanide administered with first-line chemotherapy and continued as maintenance therapy, improves progression-free survival (PFS) for patients with advanced-stage ovarian cancer.

Methods: Patients with pathologically confirmed advanced-stage ovarian cancer undergoing primary debulking or neoadjuvant platinum-based chemotherapy followed by surgery were eligible to participate. Patients were randomized 1:1 to receive platinum/taxane-based chemotherapy with metformin 850 mg orally twice per day or placebo, followed by maintenance therapy (metformin or placebo) for two years from the date of randomization.

Attitudes, beliefs and preferences surrounding home-based exercise programs in endometrial cancer patients receiving treatment.

Background: Despite recommendations, exercise participation among endometrial cancer survivors remains low. Previous interventions focused on weight loss or in-person programs with limited reach. Regular exercise, regardless of weight change, reduces mortality risk and improves functionality.

Living Well: Protocol for a web-based program to improve quality of life in rural and urban ovarian cancer survivors.

Background: Ovarian cancer (OC) survivors commonly experience chronic symptoms including anxiety, depression, sleep disturbances, fatigue, physical symptoms, poor health-related quality of life (HRQOL), and a generally poor prognosis. Additionally, factors such as social isolation, stress, and depression are associated with key biological processes promoting tumor progression and poorer survival. Accessible psychosocial interventions to improve HRQOL and clinical outcomes are needed.

Rural-urban disparities in psychosocial functioning in epithelial ovarian cancer patients.

Objective: Although rural residence has been related to health disparities in cancer patients, little is known about how rural residence impacts mental health and quality of life (QOL) in ovarian cancer patients over time. This prospective longitudinal study investigated mental health and QOL of ovarian cancer patients in the first-year post-diagnosis.

Method: Women with suspected ovarian cancer completed psychosocial surveys pre-surgery, at 6 months and one-year; clinical data were obtained from medical records.

The biology of hope: Inflammatory and neuroendocrine profiles in ovarian cancer patients.

Introduction: Although the concept of hope is highly relevant for cancer patients, little is known about its association with cancer-relevant biomarkers. Here we examined how hope was related to diurnal cortisol and interleukin-6 (IL-6), a pro-inflammatory cytokine previously associated with tumor biology and survival in ovarian cancer. Secondly, we examined whether hope and hopelessness are distinctly associated with these biomarkers.

In situ profiling reveals metabolic alterations in the tumor microenvironment of ovarian cancer after chemotherapy.

In this study, we investigated the metabolic alterations associated with clinical response to chemotherapy in patients with ovarian cancer. Pre- and post-neoadjuvant chemotherapy (NACT) tissues from patients with high-grade serous ovarian cancer (HGSC) who had poor response (PR) or excellent response (ER) to NACT were examined. Desorption electrospray ionization mass spectrometry (DESI-MS) was performed on sections of HGSC tissues collected according to a rigorous laparoscopic triage algorithm.

Well-being and stress vulnerability in ovarian cancer survivors during the COVID-19 pandemic.

Objective: This study was designed to examine (1) whether ovarian cancer (OC) survivors would have greater well-being vs. elevated distress compared to community members during a universal health stressor (COVID-19) and (2) how resources and risk factors at diagnosis predicted vulnerability to a subsequent health-related stressor.

Methods: One hundred seventeen OC survivors were recruited from two academic medical centers and compared to a community-based sample on COVID-related distress and disruption.

Microbial Communities in Gynecological Cancers and Their Association with Tumor Somatic Variation.

There are strong correlations between the microbiome and human disease, including cancer. However, very little is known about potential mechanisms associated with malignant transformation in microbiome-associated gynecological cancer, except for HPV-induced cervical cancer. Our hypothesis is that differences in bacterial communities in upper genital tract epithelium may lead to selection of specific genomic variation at the cellular level of these tissues that may predispose to their malignant transformation.

Carboplatin dosing in the treatment of ovarian cancer: An NRG oncology group study.

Objective: To determine the effects of using National Comprehensive Cancer Network (NCCN) guidelines to estimate renal function on carboplatin dosing and explore adverse effects associated with a more accurate estimation of lower creatinine clearance (CrCl).

Methods: Retrospective data were obtained for 3830 of 4312 patients treated on GOG182 (NCT00011986)-a phase III trial of platinum-based chemotherapy for advanced-stage ovarian cancer. Carboplatin dose per patient on GOG182 was determined using the Jelliffe formula.

Integration of Genomic and Clinical Retrospective Data to Predict Endometrioid Endometrial Cancer Recurrence.

Endometrial cancer (EC) incidence and mortality continues to rise. Molecular profiling of EC promises improvement of risk assessment and treatment selection. However, we still lack robust and accurate models to predict those at risk of failing treatment.

Using Genomic Variation to Distinguish Ovarian High-Grade Serous Carcinoma from Benign Fallopian Tubes.

Unlabelled: The preoperative diagnosis of pelvic masses has been elusive to date. Methods for characterization such as CA-125 have had limited specificity. We hypothesize that genomic variation can be used to create prediction models which accurately distinguish high grade serous ovarian cancer (HGSC) from benign tissue.

Biobehavioral factors predict an exosome biomarker of ovarian carcinoma disease progression.

Background: Biobehavioral factors such as social isolation and depression have been associated with disease progression in ovarian and other cancers. Here, the authors developed a noninvasive, exosomal RNA profile for predicting ovarian cancer disease progression and subsequently tested whether it increased in association with biobehavioral risk factors.

Methods: Exosomes were isolated from plasma samples from 100 women taken before primary surgical resection or neoadjuvant (NACT) treatment of ovarian carcinoma and 6 and 12 months later.

Integrated Clinical and Genomic Models to Predict Optimal Cytoreduction in High-Grade Serous Ovarian Cancer.

Advanced high-grade serous (HGSC) ovarian cancer is treated with either primary surgery followed by chemotherapy or neoadjuvant chemotherapy followed by interval surgery. The decision to proceed with surgery primarily or after chemotherapy is based on a surgeon's clinical assessment and prediction of an optimal outcome. Optimal and complete cytoreductive surgery are correlated with improved overall survival.

Disparity of ovarian cancer survival between urban and rural settings.

Objective: To determine if there is a difference in overall survival of patients with epithelial ovarian cancer in rural, urban, and metropolitan settings in the United States.

Methods: We performed a retrospective cohort study using 2004-2016 National Cancer Database (NCDB) data including high and low grade, stage I-IV disease. Bivariate analyses used Student's t-test for continuous variables and χ test for dichotomous variables.

Rural residence is related to shorter survival in epithelial ovarian cancer patients.

Objective: Rural residence has been related to health disparities and greater mortality risk in cancer patients, including gynecologic cancer patients. Lower survival rates for rural cancer survivors have been attributed to limited access to specialized healthcare, including surgery. Here, we examined whether a rural/urban survival gap existed in ovarian cancer patients receiving surgery at tertiary-care facilities, and potential causes for this gap, including educational attainment.

Mitochondria in epithelial ovarian carcinoma exhibit abnormal phenotypes and blunted associations with biobehavioral factors.

Malignant tumor cells exhibit mitochondrial alterations and are also influenced by biobehavioral processes, but the intersection of biobehavioral factors and mitochondria in malignant tumors remains unexplored. Here we examined multiple biochemical and molecular markers of mitochondrial content and function in benign tissue and in high-grade epithelial ovarian carcinoma (EOC) in parallel with exploratory analyses of biobehavioral factors. First, analysis of a publicly-available database (n = 1435) showed that gene expression of specific mitochondrial proteins in EOC is associated with survival.

Identification of Novel Fusion Transcripts in High Grade Serous Ovarian Cancer.

Fusion genes are structural chromosomal rearrangements resulting in the exchange of DNA sequences between genes. This results in the formation of a new combined gene. They have been implicated in carcinogenesis in a number of different cancers, though they have been understudied in high grade serous ovarian cancer.

Bacterial, Archaea, and Viral Transcripts (BAVT) Expression in Gynecological Cancers and Correlation with Regulatory Regions of the Genome.

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.

Chronic difficulties are associated with poorer psychosocial functioning in the first year post-diagnosis in epithelial ovarian cancer patients.

Objective: Ovarian cancer is characterized by poor prognosis, high levels of distress, disturbed sleep, and compromised quality of life (QOL). Although life stressors have been shown to significantly impact physical and psychological health in cancer populations, no studies have used a high-resolution stress assessment to differentiate effects of acute versus chronic stressors among women with ovarian cancer. We addressed this issue in the present prospective longitudinal study by examining how acute and chronic stress exposure in the year pre-diagnosis relate to depressive symptoms, sleep quality, and QOL over the first year post-diagnosis in women with ovarian cancer.