Publications by authors named "Melissa Bondy"

Background: Black women with epithelial ovarian cancer (EOC) have worse survival and a higher burden of comorbid conditions compared with other racial groups. This study examines the association of comorbid conditions and medication use for these conditions with survival among Black women with EOC.

Methods: In a prospective study of 592 Black women with EOC, the Charlson comorbidity index (CCI) based on self-reported data, three cardiometabolic comorbidities (type 2 diabetes, hypertension, and hyperlipidemia), and medication use for each cardiometabolic comorbidity were evaluated.

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  • Glioblastoma (GBM) is a severe brain cancer that can lead to toxic side effects during treatment, prompting this study to explore genetic and clinical factors associated with vascular toxicities such as thrombosis and hypertension in patients.
  • A total of 591 Non-Hispanic White GBM patients were analyzed, with 62 experiencing thrombosis and 59 hypertension, revealing that hypertensive patients had improved survival rates compared to those without hypertension.
  • The study found that genetic factors significantly predicted hypertension better than clinical data alone, while corticosteroid use was identified as a notable risk factor for thrombosis, suggesting a need for further research into these associations in cancer treatments.
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Importance: Ovarian cancer survival among Black women is the lowest across all racial and ethnic groups. Poor dietary quality also disproportionately affects Black populations, but its association with ovarian cancer survival in this population remains largely unknown.

Objective: To examine associations between dietary patterns and survival among Black women diagnosed with epithelial ovarian cancer (EOC).

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Background: Mediation by multiple agents can affect the relation between neighborhood deprivation and segregation indices and ovarian cancer survival. In this paper, we examine a variety of potential clinical mediators in the association between deprivation indices (DIs) and segregation indices (SIs) with all-cause survival among women with ovarian cancer in the African American Cancer Epidemiology Study (AACES).

Methods: We use novel Bayesian multiple mediation structural models to assess the joint role of mediators (stage at diagnosis, histology, diagnostic delay) combined with the DIs and SIs (Yost, ADI, Kolak's URB, ICE-income) and a set of confounders with survival.

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  • Polygenic risk scores (PRS) analyze multiple genetic variants to profile individual susceptibility to glioma, highlighting a need for efficient genetic risk assessment due to limited sample sizes in studies.
  • The research compared two PRS methods: one incorporating over 1 million variants (PRS-CS) and another limiting to significant variants (PRS-CT), finding PRS-CS more predictive, especially for glioblastoma.
  • Overall, PRS-CS significantly increased predictive accuracy and classification of high-risk individuals, suggesting its potential to better identify glioma subtypes and improve risk detection in clinical settings.
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In 2002, heterozygous suppressor of fused variants (SUFU) in the germline were described to have a tumor suppressor role in the development of pediatric medulloblastoma (MB). Other neoplasms associated with pathologic germline SUFU variants have also been described among patients with basal cell nevus syndrome (BCNS; BCNS is also known as Gorlin syndrome, nevoid basal cell carcinoma [BCC] syndrome or Gorlin-Goltz syndrome; OMIM 109400), an autosomal-dominant cancer predisposition syndrome. The phenotype of patients with germline SUFU variants is very poorly characterized due to a paucity of large studies with long-term follow-up.

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  • Researchers developed a new polygenic risk score (PRS-CS) that leverages data from over 1 million genetic variants to assess glioma risk more accurately than traditional methods.
  • The study found that PRS-CS significantly improved risk prediction across glioma subtypes, particularly for glioblastoma, showing a 21% increase in explained variance compared to an older approach (PRS-CT).
  • This scoring method could enhance the clinical identification of high-risk individuals and aid in differentiating glioma subtypes based on genetics, which may be beneficial for patient management.
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Background: Deprivation indices are often used to adjust for socio-economic disparities in health studies. Their role has been partially evaluated for certain population-level cancer outcomes, but examination of their role in ovarian cancer is limited. In this study, we evaluated a range of well-recognized deprivation indices in relation to cancer survival in a cohort of self-identified Black women diagnosed with ovarian cancer.

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Background: As exposure assessment has shifted towards community-engaged research there has been an increasing trend towards reporting results to participants. Reports aim to increase environmental health literacy, but this can be challenging due to the many unknowns regarding chemical exposure and human health effects. This includes when reports encompass a wide-range of chemicals, limited reference or health standards exist for those chemicals, and/or incompatibility of data generated from exposure assessment tools with published reference values (e.

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  • Body mass index (BMI) is a risk factor for renal cell cancer (RCC), and the study analyzed how lifetime exposure to excess weight affects this risk using data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.
  • Results indicated that higher BMI at ages 20 and 50, as well as weight gain and various BMI trajectories throughout adulthood, significantly increased the likelihood of developing RCC.
  • The study emphasizes the importance of maintaining a healthy weight over a lifetime, as cumulative excess weight correlates with higher RCC risk, suggesting that preventing weight gain can help mitigate this risk.
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Background: An association was observed between an inflammation-related risk score (IRRS) and worse overall survival (OS) among a cohort of mostly White women with invasive epithelial ovarian cancer (EOC). Herein, we evaluated the association between the IRRS and OS among Black women with EOC, a population with higher frequencies of pro-inflammatory exposures and worse survival.

Methods: The analysis included 592 Black women diagnosed with EOC from the African American Cancer Epidemiology Study (AACES).

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Introduction: Lung cancer is a complex polygenic disorder. Analysis with Mendelian randomization (MR) allows for genetically predicted risks to be estimated between exposures and outcomes.

Methods: We analyzed 345 heritable traits from the United Kingdom Biobank and estimated their associated effects on lung cancer outcomes using two sample MR.

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Purpose: Deprivation and segregation indices are often examined as possible explanations for observed health disparities in population-based studies. In this study, we assessed the role of recognized deprivation and segregation indices specifically as they affect survival in a cohort of self-identified Black women diagnosed with ovarian cancer who enrolled in the African American Cancer Epidemiology Study.

Methods: Mediation analysis was used to examine the direct and indirect effects between deprivation or segregation and overall survival via a Bayesian structural equation model with Gibbs variable selection.

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  • Glioma is a rare but aggressive brain tumor, with familial glioma being a genetically influenced form that makes up about 5% of cases.
  • Researchers conducted whole-genome sequencing on 203 individuals from 189 families with familial glioma, also validating findings in a separate group of 122 individuals.
  • The study identified significant variants in seven genes, particularly affecting tumor cell proliferation, highlighting the importance of these genes in understanding familial glioma.
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  • This study examines the genetic factors contributing to the risk of different cancers by analyzing data from 12 genome-wide association studies, involving nearly 910,000 participants.
  • Researchers discovered 15 new cancer susceptibility loci and found that some genetic variants are shared between multiple cancer types, despite much of the heritability being specific to individual cancers.
  • The findings indicate the importance of using larger sample sizes for more effective cross-cancer analyses, which could unveil additional genetic regions linked to increased cancer risk.
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Purpose: The causes for the survival disparity among Black women with epithelial ovarian cancer (EOC) are likely multi-factorial. Here we describe the African American Cancer Epidemiology Study (AACES), the largest cohort of Black women with EOC.

Methods: AACES phase 2 (enrolled 2020 onward) is a multi-site, population-based study focused on overall survival (OS) of EOC.

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  • Low-molecular-weight cyclin E (LMW-E) is a truncated form of cyclin E found in breast cancer, linked to poor patient survival and associated with genomic instability in early tumors.
  • LMW-E helps cancer cells tolerate replication stress by enhancing DNA repair processes, contrasting with full-length cyclin E, which inhibits cell proliferation through DNA damage.
  • Targeting specific pathways related to DNA damage repair in LMW-E-overexpressing cells shows potential for new treatment strategies in breast cancer.
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Background: We sought to identify clinical and genetic predictors of temozolomide-related myelotoxicity among patients receiving therapy for glioblastoma.

Methods: Patients ( = 591) receiving therapy on NRG Oncology/RTOG 0825 were included in the analysis. Cases were patients with severe myelotoxicity (grade 3 and higher leukopenia, neutropenia, and/or thrombocytopenia); controls were patients without such toxicity.

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Unlabelled: Aggregation of genome-wide common risk variants, such as polygenic risk score (PRS), can measure genetic susceptibility to cancer. A better understanding of how common germline variants associate with somatic alterations and clinical features could facilitate personalized cancer prevention and early detection. We constructed PRSs from 14 genome-wide association studies (median n = 64,905) for 12 cancer types by multiple methods and calibrated them using the UK Biobank resources (n = 335,048).

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Severe storms and flooding events are expected to increase in frequency and severity, with lasting economic, social, and psychological impacts on communities in post-disaster recovery. In the first mixed methods study to focus on the experiences of Houstonians during Hurricane Harvey, which resulted in unprecedented and widespread flooding and billions of dollars in damage, we conducted five focus groups from four neighborhoods almost two years after Harvey made landfall. Our purpose was to understand how residents withstood and recovered from flooding-related stressors, what the major sources of support were and what long-term issues they were still dealing with.

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Background: Deleterious BRCA mutations confer a significant lifetime risk of breast cancer (BC) as well as contralateral BC (CBC) in patients who do not undergo prophylactic mastectomy. Prior reports have suggested that tamoxifen reduces the risk of CBC in BRCA mutation carriers. Whether aromatase inhibitors (AI) have the same effect is unknown.

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Background: Glioma incidence is 25% lower in Hispanics than White non-Hispanics. The US Hispanic population is diverse, and registry-based analyses may mask incidence differences associated with geographic/ancestral origins.

Methods: County-level glioma incidence data in Hispanics were retrieved from the Central Brain Tumor Registry of the United States.

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Importance: The full effect of the COVID-19 pandemic on cancer care disparities, particularly by race and ethnicity, remains unknown.

Objectives: To assess whether the race and ethnicity of patients with cancer was associated with disparities in cancer treatment delays, adverse social and economic effects, and concerns during the COVID-19 pandemic and to evaluate trusted sources of COVID-19 information by race and ethnicity.

Design, Setting, And Participants: This national survey study of US adults with cancer compared treatment delays, adverse social and economic effects, concerns, and trusted sources of COVID-19 information by race and ethnicity from September 1, 2020, to January 12, 2021.

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Background: Risk of tumors of the breast, ovary, and meninges has been associated with hormonal factors and with one another. Genome-wide association studies (GWAS) identified a meningioma risk locus on 10p12 near previous GWAS hits for breast and ovarian cancers, raising the possibility of genetic pleiotropy.

Methods: We performed imputation-based fine-mapping in three case-control datasets of meningioma (927 cases, 790 controls), female breast cancer (28 108 cases, 22 209 controls), and ovarian cancer (25 509 cases, 40 941 controls).

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Purpose: The early months of the COVID-19 pandemic led to reduced cancer screenings and delayed cancer surgeries. We used insurance claims data to understand how breast cancer incidence and treatment after diagnosis changed nationwide over the course of the pandemic.

Methods: Using the Optum Research Database from January 2017 to March 2021, including approximately 19 million US adults with commercial health insurance, we identified new breast cancer diagnoses and first treatment after diagnosis.

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