Digital Commons Network^™

Removal Of Pfoa/Pfos In Water Using Electrocoagulation And Associated Life Cycle Impacts And Financial Costs, Tianhong Mu

Electronic Theses & Dissertations (2024 - present)

Electrocoagulation (EC) with a zinc anode demonstrated promising results to remove perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) from an aqueous solution. However, the energy requirement for EC is usually very high due to water electrolysis or aeration. The second chapter of this dissertation aims to reduce energy consumption using an air-cathode in EC (ACEC) to supply oxygen electron acceptor without aeration for attenuating PFOA/PFOS in this new configuration. For the high PFOA concentration (0.25 mM), ACEC with 45 min of the reaction time exhibited an excellent PFOA removal (99.8 ± 0.3% removal) comparable to an EC with aeration (EC-aeration, …

Improving The Performance Of Hirep Lattice Simulations Software By Exploiting The Cpu Hardware Architecture Details And Algorithm Characteristics, Md Rahman

School of Engineering, Computing and Mathematics Theses

In the scientific exploration of Quantum Chromodynamics (QCD)—the theory governing the strong interaction among quarks and gluons—large-scale numerical simulations are per formed using the framework of lattice gauge theories. Lattice Gauge Theory (LGT) simulations involve the formulation of gauge field theories on a space-time lattice. HiRep is a simulation suite designed for running lattice simulations, leveraging high-performance computing platforms. HiRep is designed to be flexible enough to study a wide range of strongly interacting systems, particularly those pertinent to novel physics investigations at CERN’s Large Hadron Collider (LHC). However, improving the execution time of HiRep is a challenging and non-trivial …

Fgf5, Evelyn A Carrion, Malcolm M Moses, Richard R Behringer

Faculty, Staff and Student Publications

FGF5 functions as a negative regulator of the hair cycle in mammals. It is expressed in the outer root sheath of hair follicles during the late anagen phase of the hair cycle. It functions as a signaling molecule, mediating the transition of the anagen growth phase to catagen regression phase of the hair cycle. Spontaneous and engineered FGF5 mutations in mammalian animal models result in long hair phenotypes. In humans, inherited FGF5 mutations result in trichomegaly (long eyelashes). Knockdown of fgf5 in zebrafish embryos results in inner ear alterations. Alterations in FGF5 expression are also associated with various human pathologies.

Privacy-Preserving Fingerprinting Against Collusion And Correlation Threats In Genomic Data, Tianxi Ji, Erman Ayday, Emre Yilmaz, Pan Li

Faculty, Staff and Student Publications

Sharing genomic databases is critical to the collaborative research in computational biology. A shared database is more informative than specific genome-wide association studies (GWAS) statistics as it enables “do-it-yourself” calculations. Genomic databases involve intellectual efforts from the curator and sensitive information of participants, thus in the course of data sharing, the curator (database owner) should be able to prevent unauthorized redistributions and protect individuals’ genomic data privacy. As it becomes increasingly common for a single database be shared with multiple recipients, the shared genomic database should also be robust against collusion attack, where multiple malicious recipients combine their individual copies …

Fairness-Aware Estimation Of Graphical Models, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Faculty, Staff and Student Publications

This paper examines the issue of fairness in the estimation of graphical models (GMs), particularly Gaussian, Covariance, and Ising models. These models play a vital role in understanding complex relationships in high-dimensional data. However, standard GMs can result in biased outcomes, especially when the underlying data involves sensitive characteristics or protected groups. To address this, we introduce a comprehensive framework designed to reduce bias in the estimation of GMs related to protected attributes. Our approach involves the integration of the pairwise graph disparity error and a tailored loss function into a nonsmooth multi-objective optimization problem, striving to achieve fairness across …

Facilitating Clinical Information Extraction With Synthetic Data And Ontology Using Large Language Models, Yan Hu, Huan He, Qingyu Chen, Xiaoqian Jiang, Kirk Roberts, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of unstructured clinical text in electronic health records necessitates robust information extraction systems, yet their development is hindered by the scarcity of high-quality annotated data. This study explores the potential of large language models to generate synthetic data for clinical named entity recognition and examines its impact on model performance. We propose a novel framework that integrates self-verified synthetic data generation with domain-specific semantic mapping using SNOMED-CT. By leveraging GPT-4o-mini for synthetic data creation and refining its quality through iterative verification and anomaly detection, we systematically evaluate the influence of synthetic data quality and quantity on fine-tuning …

Impact Of P53-Associated Acute Myeloid Leukemia Hallmarks On Metabolism And The Immune Environment, Monika Chomczyk, Luca Gazzola, Shubhankar Dash, Patryk Firmanty, Binsah S George, Vakul Mohanty, Hussein A Abbas, Natalia Baran

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML), an aggressive malignancy of hematopoietic stem cells, is characterized by the blockade of cell differentiation, uncontrolled proliferation, and cell expansion that impairs healthy hematopoiesis and results in pancytopenia and susceptibility to infections. Several genetic and chromosomal aberrations play a role in AML and influence patient outcomes. TP53 is a key tumor suppressor gene involved in a variety of cell features, such as cell-cycle regulation, genome stability, proliferation, differentiation, stem-cell homeostasis, apoptosis, metabolism, senescence, and the repair of DNA damage in response to cellular stress. In AML, TP53 alterations occur in 5%-12% of de novo AML …

The Baseline Hemoglobin Level Is A Positive Biomarker For Immunotherapy Response And Can Improve The Predictability Of Tumor Mutation Burden For Immunotherapy Response In Cancer, Yin He, Tong Ren, Chengfei Ji, Li Zhao, Xiaosheng Wang

Faculty, Staff and Student Publications

Purpose: Because only a subset of cancer patients can benefit from immunotherapy, identifying predictive biomarkers of ICI therapy response is of utmost importance.

Methods: We analyzed the association between hemoglobin (HGB) levels and clinical outcomes in 1,479 ICIs-treated patients across 16 cancer types. We explored the dose-dependent associations between HGB levels and survival and immunotherapy response using the spline-based cox regression analysis. Furthermore, we investigated the associations across subgroups of patients with different clinicopathological characteristics, treatment programs and cancer types using the bootstrap resampling method.

Results: HGB levels correlated positively with clinical outcomes in cancer patients receiving immunotherapy but not …

Identifying Missing Is-A Relations In Snomed Ct With Fine-Tuned Pre-Trained Language Models And Non-Lattice Subgraphs, Xubing Hao, Rashmie Abeysinghe, Jay Shi, Guo-Qiang Zhang, Licong Cui

Faculty, Staff and Student Publications

Ensuring the completeness of IS-A relations in SNOMED CT is crucial for maintaining its accuracy in clinical applications. In this study, we propose a hybrid approach leveraging non-lattice subgraphs and pre-trained language models (PLMs) to identify missing IS-A relations in SNOMED CT. We fine-tuned four BERT-based models: BERT, DistillBERT, DeBERTa, and BioClinicalBERT, and four generative large language models (LLMs): BioMistral, Llama3, Gemma2, and Phi-4. Missing IS-A relations were identified through consensus predictions by all eight models. De-BERTa achieved the best performance (precision: 0.96, recall: 0.97, F1-score: 0.965) for IS-A relation prediction. Our approach identified 678 potential missing IS-A relations in …

Relational Database-Based Resource-Provenance Visualization Engine: With An Application To Bican Data, Xiaojin Li, Yan Huang, Lydia Ng, Kimberly A Smith, Wei-Chun Chou, Rashmie Abeysinghe, Ling Tong, Shiwe Lin, Licong Cui, Shiqiang Tao, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Provenance tracking ensures data integrity, security, and accountability in healthcare and biomedical research. As biomedical data grows in complexity, comprehensive tracking mechanisms are needed to maintain reproducibility, transparency, and compliance with regulatory standards, such as GDPR. Traditional log-based and ontology-based approaches capture and standardize data lineage, while cryptographic and blockchain-based methods enhance security and verifiability. However, challenges remain in scalability, security, and usability. To address these, we introduce the Resource-Provenance Visualization Engine (RPVE), an advanced system integrating data lineage tracking and interactive visualization. RPVE employs the Randomized N-gram Hashing Identifier (NHash ID) to establish precise data links within the BRAIN …

Diagnostic Value Of Soluble Interleukin-2 Receptor In Patients Suffering Neurosarcoidosis: A Systematic Review, Aditya Chanpura, Rajesh K Gupta, Shitiz K Sriwastava, Jan Rahmig

Faculty, Staff and Student Publications

Background: Neurosarcoidosis is an inflammatory granulomatous disease. Up to 25% of occult sarcoidosis affecting the nervous system are only detected by autopsy. In addition, in recent years the suspicion arose that the soluble Interleukin-2 Receptor (sIL-2R) might be useful in differentiating between neurosarcoidosis and neurosarcoidosis-like diseases such as neurotuberculosis, multiple sclerosis, or cerebral lymphoma.

Objectives: Therefore, we aimed to systematically review randomized controlled trials (RCT), observational studies, and case-control studies evaluating sIL-2R levels in neurosarcoidosis patients.

Design: For this systematic review, a comprehensive literature search of electronic databases including EMBASE, The Web Of Science, The Cochrane Library, MEDLINE, and Google …

Mir-29 And Mir-140 Regulate Trail-Induced Drug Tolerance In Lung Cancer, Suyeon Kim, Ki Wook Lee, Yongjin Yoo, Sang Hee Park, Ji Won Lee, Suhyun Jeon, Shaginyan Illia, Pooja Joshi, Hyun Woo Park, Han-En Lo, Jimin Seo, Yeonwoo Kim, Min Chang, Tae Jin Lee, Jong Bae Seo, Sung-Hak Kim, Carlo M Croce, Inki Kim, Sung-Suk Suh, Young-Jun Jeon

Faculty, Staff and Student Publications

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) has chemotherapeutic potential as a regulator of an extrinsic apoptotic ligand, but its effect as a drug is limited by innate and acquired resistance. Recent findings suggest that an intermediate drug tolerance could mediate acquired resistance, which has made the main obstacle for limited utility of TRAIL as an anti-cancer therapeutics. We propose miRNA-dependent epigenetic modification drives the drug tolerant state in TRAIL-induced drug tolerant (TDT). Transcriptomic analysis revealed miR-29 target gene activation in TDT cells, showing oncogenic signature in lung cancer. Also, the restored TRAIL-sensitivity was associated with miR-29ac and 140-5p expressions, which …

Chronic Lymphocytic Leukemia: Disease Biology, Stefan Koehrer, Jan A Burger

Faculty, Staff and Student Publications

Background: B-cell receptor (BCR) signaling is crucial for normal B-cell development and adaptive immunity. In chronic lymphocytic leukemia (CLL), the malignant B cells display many features of normal mature B lymphocytes, including the expression of functional B-cell receptors (BCRs). Cross talk between CLL cells and the microenvironment in secondary lymphatic organs results in BCR signaling and BCR-driven proliferation of the CLL cells. This critical pathomechanism can be targeted by blocking BCR-related kinases (BTK, PI3K, spleen tyrosine kinase) using small-molecule inhibitors. Among these targets, Bruton tyrosine kinase (BTK) inhibitors have the highest therapeutic efficacy; they effectively block leukemia cell proliferation and …

Enhancing Associative Learning In Rats With A Computationally Designed Training Protocol, Xu O Zhang, Yili Zhang, Claire E Cho, Douglas S Engelke, Paul Smolen, John H Byrne, Fabricio H Do-Monte

Faculty, Staff and Student Publications

Background: Learning requires the activation of protein kinases with distinct temporal dynamics. In Aplysia, nonassociative learning can be enhanced by a computationally designed learning protocol with intertrial intervals (ITIs) that maximize the interaction between fast-activated PKA (protein kinase A) and slow-activated ERK (extracellular signal-regulated kinase). Whether a similar strategy can enhance associative learning in mammals is unknown.

Methods: We simulated 1000 training protocols with varying ITIs to predict an optimal protocol based on empirical data for PKA and ERK dynamics in rat hippocampus. Adult male rats received the optimal protocol or control protocols in auditory fear conditioning and fear …

Risk Stratification And Prediction Of Severity Of Covid-19 Infection In Patients With Preexisting Cardiovascular Disease, Stanislava Matejin, Igor D Gregoric, Rajko Radovancevic, Slobodan Paessler, Vladimir Perovic

Faculty, Staff and Student Publications

Introduction: Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 is a highly contagious viral disease. Cardiovascular diseases and heart failure elevate the risk of mechanical ventilation and fatal outcomes among COVID-19 patients, while COVID-19 itself increases the likelihood of adverse cardiovascular outcomes.

Methods: We collected blood samples and clinical data from hospitalized cardiovascular patients with and without proven COVID-19 infection in the time period before the vaccine became available. Statistical correlation analysis and machine learning were used to evaluate and identify individual parameters that could predict the risk of needing mechanical ventilation and patient survival.

Results: Our results confirmed that COVID-19 …

Clinical Characteristics And Outcomes Of Adult Alveolar Rhabdomyosarcoma Patients On First-Line Systemic Therapies: A Single-Institution Cohort, Michael S Nakazawa, J Andrew Livingston, Maria A Zarzour, Andrew J Bishop, Ravin Ratan, Joseph A Ludwig, Dejka M Araujo, Neeta Somaiah, Vinod Ravi, Elise F Nassif, Christina L Roland, Alexander J Lazar, B Ashleigh Guadagnolo, Douglas J Harrison, Robert S Benjamin, Shreyaskumar R Patel, Anthony P Conley

Faculty, Staff and Student Publications

Background: Rhabdomyosarcomas are the most common soft tissue sarcoma in children, and pediatric alveolar rhabdomyosarcoma (ARMS) prognosis has improved based on cooperative studies. However, in adults, ARMS is significantly rarer, has poorer outcomes, and currently lacks optimal treatment strategies. Objective: This study aimed to evaluate the clinical outcome of an adult ARMS population with different front-line systemic chemotherapies and determine if any chemotherapy regimen is associated with improved survival. ]

Materials and methods: This is a retrospective study of histologically confirmed fusion-positive ARMS patients over 18 years of age, who were treated at MD Anderson Cancer Center (MDACC) from 2004 …

Commitment Complex Splicing Factors In Cancers Of The Gastrointestinal Tract-An In Silico Study, Yun Zhang, Alexandria Carrasquillo Simko, Uzondu Okoro, Deja Jamese Sibert, Jin Hyung Moon, Bin Liu, Angabin Matin

Faculty, Staff and Student Publications

The initial step in pre-mRNA splicing involves formation of a spliceosome commitment complex (CC) or E-complex by factors that serve to bind and mark the exon-intron boundaries that will undergo splicing. The CC component U1 snRNP assembles at the 5'-splice site (ss), whereas SF1, U2AF2, and U2AF1 define the 3'-ss of the intron. A PRP40 protein bridges U1 snRNP with factors at the 3'-ss. To determine how defects in CC components impact cancers, we analyzed human gastrointestinal (GI) cancer patient tissue and clinical data from cBioPortal. cBioPortal datasets were analyzed for CC factor alterations and patient outcomes in GI cancers …

Pancreatic Cancer Action Network's Spark: A Cloud-Based Patient Health Data And Analytics Platform For Pancreatic Cancer, Kawther Abdilleh, Omar Khalid, Dennis Ladnier, Wenshuai Wan, Sara Seepo, Garrett Rupp, Valentin Corelj, Zelia F Worman, Divya Sain, Jack Digiovanna, Bruce Press, Satty Chandrashekhar, Eric Collisson, Karen Y Cui, Anirban Maitra, Paul A Rejto, Kevin P White, Lynn Matrisian, Sudheer Doss

Faculty, Staff and Student Publications

Purpose: Pancreatic cancer currently holds the position of third deadliest cancer in the United States and the 5-year survival rate is among the lowest for major cancers at just 12%. Thus, continued research efforts to better understand the clinical and molecular underpinnings of pancreatic cancer are critical to developing both early detection methodologies as well as improved therapeutic options. This study introduces Pancreatic Cancer Action Network's (PanCAN's) SPARK, a cloud-based data and analytics platform that integrates patient health data from the PanCAN's research initiatives and aims to accelerate pancreatic cancer research by making real-world patient health data and analysis tools …

Harnessing Endoscopic Ultrasound-Guided Radiofrequency Ablation To Reshape The Pancreatic Ductal Adenocarcinoma Microenvironment And Elicit Systemic Immunomodulation, Vishali Moond, Bhumi Maniyar, Prateek Suresh Harne, Jennifer M Bailey-Lundberg, Nirav C Thosani

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) is characterized by poor prognostics and substantial therapeutic challenges, with dismal survival rates. Tumor resistance in PDAC is primarily attributed to its fibrotic, hypoxic, and immune-suppressive tumor microenvironment (TME). Endoscopic ultrasound-guided radiofrequency ablation (EUS-RFA), an Food and Drug Administration (FDA)-approved minimally invasive technique for treating pancreatic cancer, disrupts tumors with heat and induces coagulative necrosis, releasing tumor antigens that may trigger a systemic immune response-the abscopal effect. We aim to elucidate the roles of EUS-RFA-mediated thermal and mechanical stress in enhancing anti-tumor immunity in PDAC. A comprehensive literature review focused on radiofrequency immunomodulation and immunotherapy in …

Individual Ingredients Of Np-101 (Thymoquinone Formula) Inhibit Sars-Cov-2 Pseudovirus Infection, Abdelrahim Maen, Betul Gok Yavuz, Yehia I Mohamed, Abdullah Esmail, Jianming Lu, Amr Mohamed, Asfar S Azmi, Mohamed Kaseb, Osama Kasseb, Dan Li, Michelle Gocio, Mehmet Kocak, Abdelhafez Selim, Qing Ma, Ahmed O Kaseb

Faculty, Staff and Student Publications

Thymoquinone TQ, an active ingredient of Nigella Sativa, has been shown to inhibit COVID-19 symptoms in clinical trials. Thymoquinone Formulation (TQF or NP-101) is developed as a novel enteric-coated medication derivative from Nigella Sativa. TQF consists of TQ with a favorable concentration and fatty acids, including palmitic, oleic, and linoleic acids. In this study, we aimed to investigate the roles of individual ingredients of TQF on infection of SARS-CoV-2 variants

Leptomeningeal Disease In Melanoma: An Update On The Developments In Pathophysiology And Clinical Care, Inna Smalley, Adrienne Boire, Priscilla Brastianos, Harriet M Kluger, Eva Hernando-Monge, Peter A Forsyth, Kamran A Ahmed, Keiran S M Smalley, Sherise Ferguson, Michael A Davies, Isabella C Glitza Oliva

Faculty, Staff and Student Publications

Leptomeningeal disease (LMD) remains a major challenge in the clinical management of metastatic melanoma patients. Outcomes for patient remain poor, and patients with LMD continue to be excluded from almost all clinical trials. However, recent trials have demonstrated the feasibility of conducting prospective clinical trials in these patients. Further, new insights into the pathophysiology of LMD are identifying rational new therapeutic strategies. Here we present recent advances in the understanding of, and treatment options for, LMD from metastatic melanoma. We also annotate key areas of future focus to accelerate progress for this challenging but emerging field.

Myeloid Lineage Switch In Kmt2a- Rearranged Acute Lymphoblastic Leukemia Treated With Lymphoid Lineagedirected Therapies, Alex Bataller, Tareq Abuasab, David Mccall, Wei Wang, Branko Cuglievan, Ghayas C Issa, Elias Jabbour, Nicholas Short, Courtney D Dinardo, Guilin Tang, Guillermo Garcia-Manero, Hagop M Kantarjian, Koji Sasaki

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Mathematical Modeling And Computational Predictions In Oncoimmunology, Vladimir A Kuznetsov, Heiko Enderling, Mark Chaplain

Faculty, Staff and Student Publications

No abstract provided.

The Challenges And Opportunities Of Offering And Integrating Training In Clinical Molecular Genetics And Clinical Cytogenetics: A Survey Of Lgg Fellowship Program Directors., Joshua L. Deignan, Vimla Aggarwal, Allen E. Bale, Daniel B. Bellissimo, Jessica K. Booker, Yang Cao, Kristy R. Crooks, Kristen L. Deak, Daniela Del Gaudio, Birgit Funke, Nicole L. Hoppman, Vanessa Horner, Robert B. Hufnagel, Colleen Jackson-Cook, Prasad Koduru, Marco L. Leung, Shibo Li, Pengfei Liu, Minjie Luo, Rong Mao, Heather Mason-Suares, Fady M. Mikhail, Stephen R. Moore, Rizwan C. Naeem, Laura M. Pollard, Elena Repnikova, Lina Shao, Brandon M. Shaw, Shashirekha Shetty, Teresa A. Smolarek, Elizabeth Spiteri, Jessica Van Ziffle, Gail H. Vance, Cindy L. Vnencak-Jones, Eli S. Williams

Manuscripts, Articles, Book Chapters and Other Papers

PURPOSE: The specialty of Laboratory Genetics and Genomics (LGG) was created in 2017 in an effort to reflect the increasing convergence in technologies and approaches between clinical molecular genetics and clinical cytogenetics. However, there has not yet been any formal evaluation of the merging of these disciplines and the challenges faced by Program Directors (PDs) tasked with ensuring the successful training of laboratory geneticists under the new model.

METHODS: An electronic multi-question Qualtrics survey was created and was sent to the PD for each of the Accreditation Council for Graduate Medical Education-accredited LGG fellowship programs at the time. The data …

Spatial Multiplexing And Omics, Julienne L Carstens, Santhoshi N Krishnan, Arvind Rao, Anna G Sorace, Erin H Seeley, Sammy Ferri-Borgogno, Jared K Burks

Faculty, Staff and Student Publications

Much like solving a game of Clue, understanding physiological mysteries involves answering who, what, when, and where. Multi-omics approaches delve into cellular and molecular identities (the who and what), while longitudinal data collection addresses the when. Spatial dimensions address the where. This Primer discusses current technologies enabling quantification across biological scales, emphasizing the importance of retaining the spatial dimension of that data. We outline experimental design considerations, including targeted versus untargeted approaches, sample types, biological scale, and four main classes of molecule detection. Spatial analytics are explored, covering questioning approaches, analytical platforms, image segmentation and sampling. Example applications, reproducibility considerations, …

Fueling Cardiac Myocyte Proliferation, Manisha Deogharia, Priyatansh Gurha

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Chronobiology In Cardiometabolic Health And Disease, Cristina Manuela Dragoi, Zhihong Yang, Baharan Fekry, Andrea Brenna

Faculty, Staff and Student Publications

No abstract provided.

The Potential Of Suspended Chitosan Nanoparticles As A Surgical Irrigation Fluid, Miles D Holmes, Analisa J Narro, Hugh L Jones, Philip C Noble, Catherine G Ambrose

Faculty, Staff and Student Publications

In this study, we sought to synthesize chitosan nanoparticles (CS-NPs) and characterize their morphology, efficacy in inhibiting bacterial attachment, and efficacy in eradicating bacteria established on implantable hardware. CS-NPs possess desirable properties, including antibacterial properties in biofilm-mediated infections. CS-NPs were produced using ionic gelation and characterized via scanning electron microscope imaging. Staphylococcus aureus was incubated with CS-NPs at various concentrations and compared to a 1% povidone-iodine with 1% H2 O2 control in 24-well plates. Stainless steel bone screws were placed in six-well plates and inoculated with S. aureus. After 24 h, the screws were transferred to one of three solutions …

Precision Needle-Punch Tumor Enrichment From Paraffin Blocks Improves The Detection Of Clinically Actionable Genomic Alterations And Biomarkers, Douglas I Lin, Richard S P Huang, Ioannis Ladas, Rachel B Keller, Nimesh R Patel, Sotirios Lakis, Brennan Decker, Tyler Janovitz, Douglas A Mata, Jeffrey S Ross, Jo-Anne Vergilio, Julia A Elvin, Roy S Herbst, Philip C Mack, Jonathan K Killian

Faculty, Staff and Student Publications

BACKGROUND: While many molecular assays can detect mutations at low tumor purity and variant allele frequencies, complex biomarkers such as tumor mutational burden (TMB), microsatellite instability (MSI), and genomic loss of heterozygosity (gLOH) require higher tumor purity for accurate measurement. Scalable, quality-controlled, tissue-conserving methods to increase tumor nuclei percentage (TN%) from tumor specimens are needed for complex biomarkers and hence necessary to maximize patient matching to approved therapies or clinical trial enrollment. We evaluated the clinical utility and performance of precision needle-punch enrichment (NPE) compared with traditional razor blade macroenrichment of tumor specimens on molecular testing success.

METHODS: Pathologist-directed NPE …

Association Between Serum Vitamin D Status And Uterine Leiomyomas: A Case-Control Study, Chukwuemeka Chukwubuikem Okoro, Okechukwu Christian Ikpeze, George Uchenna Eleje, Gerald Okanandu Udigwe, Chukwuemeka Okwudili Ezeama, Joseph Odirichukwu Ugboaja, Chukwunonso Isaiah Enechukwu, Osita Samuel Umeononihu, Chukwudi Anthony Ogabido, Charlotte Blanche Oguejiofor, Tobechi Kingsley Njoku, Richard Obinwanne Egeonu, Chigozie Geoffrey Okafor, Hillary Ikechukwu Obiagwu, Chukwudubem Chinagorom Onyejiaka, Afam Ben Obidike, Christian Ejike Onah, Ifeanyi Uzukwu, Amarachukwu Doris Okoro, Evaristus Chino Ezema, Adaobi Maryann Ibekwe, Joseph Ifeanyichukwu Ikechebelu

Faculty, Staff and Student Publications

OBJECTIVE: Uterine leiomyoma is a common gynecological condition that negatively affects women's quality of life. Vitamin D plays an important role in tumor development and progression. However, clinical studies comparing serum vitamin D levels between women with and without uterine leiomyomas are limited and inconclusive. This study aimed to compare serum vitamin D levels in women with and without uterine leiomyomas.

METHODS: This hospital-based case-control study included 150 women who visited a gynecological clinic. The cases included 75 women with uterine leiomyoma, whereas the controls included 75 age-and parity-matched participants without uterine leiomyoma. Serum vitamin D levels were measured in …