Publications by authors named "Maxwell G"

Mechanistically based non-animal methods for assessing skin sensitization hazard have been developed, but are not considered sufficient, individually, to conclusively define the skin sensitization potential or potency of a chemical. This resulted in the development of defined approaches (DAs), as documented in OECD TG 497, for combining information sources in a prescriptive manner to provide a determination of risk or potency. However, there are currently no DAs within OECD TG 497 that can derive a point of departure (POD) for risk assessment.

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Glaucoma is the leading cause of irreversible blindness with early detection and intervention critical to slowing disease progression. However, half of those affected are undiagnosed. This is largely due to the early stages of disease being asymptomatic; current population-based screening measures being unsupported; and a lack of current efficient prediction models.

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Purpose: Functional connectivity hubs were previously identified at the source level in low-risk full-term newborns by high-density electroencephalography (HD-EEG). However, the directionality of information flow among hubs remains unclear. The aim of this study was to study the directionality of information flow among source level hubs in low-risk full-term newborns using HD-EEG.

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A central theme in cancer research is to increase our understanding of the cancer tissue microenvironment, which is comprised of a complex and spatially heterogeneous ecosystem of malignant and non-malignant cells, both of which actively contribute to an intervening extracellular matrix. Laser microdissection (LMD) enables histology selective harvest of cellular subpopulations from the tissue microenvironment for their independent molecular investigation, such as by high-throughput DNA and RNA sequencing. Although enabling, LMD often requires a labor-intensive investment to harvest enough cells to achieve the necessary DNA and/or RNA input requirements for conventional next-generation sequencing workflows.

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Article Synopsis
  • Endometrial cancer (EC) is the most common gynecological cancer in the U.S., with obesity contributing to 57% of cases, emphasizing the need to study its molecular mechanisms in relation to obesity.
  • The research found that obese EC patients had higher levels of extracellular vesicles (EVs) carrying oncogenic proteins, which are linked to increased cancer growth, inflammation, and changes in protein expression in both adipose and uterine tissues.
  • Treatments with small molecule inhibitors like HO-3867 and Metformin were effective in reducing EV secretion, slowing cancer cell proliferation, and inhibiting the early stages of cancer development in high-fat diet-induced models.
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Background: Human acellular dermal matrices (ADMs) remain the most used matrices in prosthetic breast reconstruction. However, the availability and cost of ADMs limit their use in prepectoral reconstruction-which requires large amounts of ADM-and alternative matrices are therefore being explored.

Objectives: The aim of this study was to demonstrate the safety and efficacy of human-porcine ADM constructs via clinical outcomes and histologic evidence of graft integration.

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Childhood glaucoma is a heterogeneous group of ocular disorders defined by an age of onset from birth to 18 years. These vision-threatening disorders require early diagnosis, timely treatment, and lifelong management to maintain vision and minimise irreversible blindness. The genetics of childhood glaucoma is complex with both phenotypic and genetic heterogeneity.

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The interferon stimulated gene 15 (ISG15), a ubiquitin like protein and its conjugates have been implicated in various human malignancies. However, its role in ovarian cancer progression and metastasis is largely unknown. In high grade serous ovarian cancer (HGSOC), ascites is the major contributor to peritoneal metastasis.

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Background: Black women are at an increased risk of developing uterine leiomyomas and experiencing worse disease prognosis than White women. Epidemiologic and molecular factors have been identified as underlying these disparities, but there remains a paucity of deep, multiomic analysis investigating molecular differences in uterine leiomyomas from Black and White patients.

Objective: To identify molecular alterations within uterine leiomyoma tissues correlating with patient race by multiomic analyses of uterine leiomyomas collected from cohorts of Black and White women.

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Objective: Investigate racial disparities in outcomes and molecular features in Black and White patients with endometrioid endometrial carcinoma (EEC).

Methods: Black and White patients diagnosed with EEC who underwent hysterectomy ± adjuvant treatment in SEER, National Cancer Database (NCDB), the Genomics Evidence Neoplasia Information Exchange (GENIE) project (v.13.

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We performed whole-genome sequencing (WGS) in 327 children with cerebral palsy (CP) and their biological parents. We classified 37 of 327 (11.3%) children as having pathogenic/likely pathogenic (P/LP) variants and 58 of 327 (17.

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We performed a deep proteogenomic analysis of bulk tumor and laser microdissection enriched tumor cell populations from high-grade serous ovarian cancer (HGSOC) tissue specimens spanning a broad spectrum of purity. We identified patients with longer progression-free survival had increased immune-related signatures and validated proteins correlating with tumor-infiltrating lymphocytes in 65 tumors from an independent cohort of HGSOC patients, as well as with overall survival in an additional 126 HGSOC patient cohort. We identified that homologous recombination deficient (HRD) tumors are enriched in pathways associated with metabolism and oxidative phosphorylation that we validated in independent patient cohorts.

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Purpose: To investigate IMT use and survival in real-world stage IVB cervical cancer patients outside randomized clinical trials.

Methods: Patients diagnosed with stage IVB cervical cancer during 2013-2019 in the National Cancer Database and treated with chemotherapy (CT) ± external beam radiation (EBRT) ± intracavitary brachytherapy (ICBT) ± IMT were studied. The adjusted hazard ratio (AHR) and 95% confidence interval (CI) for risk of death were estimated in patients treated with vs.

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Numerous multi-omic investigations of cancer tissue have documented varying and poor pairwise transcript:protein quantitative correlations, and most deconvolution tools aiming to predict cell type proportions (cell admixture) have been developed and credentialed using transcript-level data alone. To estimate cell admixture using protein abundance data, we analyzed proteome and transcriptome data generated from contrived admixtures of tumor, stroma, and immune cell models or those selectively harvested from the tissue microenvironment by laser microdissection from high grade serous ovarian cancer (HGSOC) tumors. Co-quantified transcripts and proteins performed similarly to estimate stroma and immune cell admixture (r ≥ 0.

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Purpose: We investigated racial disparities in survival by histology in cervical cancer and examined the factors contributing to these disparities.

Methods: Non-Hispanic Black and non-Hispanic White (hereafter known as Black and White) patients with stage I-IV cervical carcinoma diagnosed between 2004 and 2017 in the National Cancer Database were studied. Survival differences were compared using Cox modeling to estimate hazard ratio (HR) or adjusted HR (AHR) and 95% confidence interval (CI).

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Ischemic heart disease is a crucial issue during pregnancy. The term is composed of both preexisting conditions and acute coronary syndrome in pregnancy, including pregnancy-associated myocardial infarction, which can have a significant effect on maternal and fetal outcomes. This review provides a complete guide to managing ischemic heart disease in pregnant women, emphasizing the importance of multidisciplinary care and individualized treatment strategies.

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Objective: This study investigated the risk of an aggressive endometrial cancer (EC) diagnosis by race, ethnicity, and country of origin to further elucidate histologic disparities in non-Hispanic Black (NHB), Hispanic, Asian/Pacific Islander (API), American Indian/Alaskan Native (AIAN) vs. non-Hispanic White (NHW) patients, particularly in Hispanic or API subgroups.

Methods: Patient diagnosed between 2004 and 2020 with low grade (LG)-endometrioid endometrial cancer (ECC) or an aggressive EC including grade 3 EEC, serous carcinoma, clear cell carcinoma, mixed epithelial carcinoma, or carcinosarcoma in the National Cancer Database were studied.

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Article Synopsis
  • Uterine serous carcinoma (USC) is a rare but aggressive type of uterine cancer that shows high resistance to chemotherapy and recurrence, leading to significant mortality rates.
  • This study aimed to explore the complex tumor microenvironment of USC through advanced techniques like multi-region microsampling and quantitative proteomics from tumor samples of nine patients.
  • Results revealed significant heterogeneity within the tumors, showing that different cell populations vary considerably, highlighting the importance of analyzing specific cellular subgroups instead of just bulk tumor tissue for better understanding of disease mechanics.
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Fingolimod is a sphingosine-1-phosphate receptor modulator approved as a disease-modifying therapy (DMT) for relapsing-remitting multiple sclerosis (MS). A woman in her 30s was treated with fingolimod for relapsing-remitting MS. After 7 years of treatment, she presented with non-productive cough, night sweats, breathlessness and unintentional weight loss.

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  • The study aimed to evaluate the effectiveness of a deep learning model for automatically segmenting pelvic/ovarian and omental lesions in high-grade serous ovarian cancer on CT scans.
  • Using 451 CT scans for training, evaluation, and testing, the model was compared against existing methods and trainee radiologist segmentations.
  • Results indicated that the deep learning model significantly outperformed the standard method for pelvic/ovarian lesions and performed comparably to a trainee radiologist, suggesting that automated segmentation is a viable tool in clinical settings.
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