Medical Specialties Commons^™

Peritoneal Microenvironment Promotes Appendiceal Adenocarcinoma Growth: A Multi-Omics Approach Using Patient-Derived Xenografts, Vinay K Pattalachinti, Ichiaki Ito, Saikat Chowdhury, Abdelrahman Yousef, Yue Gu, Betul Beyza Gunes, Emma R Salle, Melissa W Taggart, Keith Fournier, Natalie W Fowlkes, John Paul Shen

Faculty, Staff and Student Publications

Appendiceal adenocarcinoma (AA) is unique from other gastrointestinal malignancies in that it almost exclusively metastasizes to the peritoneal cavity. However, few studies have investigated the molecular interaction of the peritoneal microenvironment and AA. Here, we use a multi-omics approach with orthotopic and flank-implanted patient-derived xenografts (PDX) to study the effect of the peritoneal microenvironment on AA. AA tumors implanted in the peritoneal microenvironment tended to grow faster and displayed greater nuclear expression of Ki-67 relative to the same tumors implanted in the flank. Comparing the tumor-specific transcriptome (excluding stromal transcription), the peritoneal microenvironment relatively upregulated genes related to proliferation, including …

Neutrophil Elastase Remodels Mammary Tumors To Facilitate Lung Metastasis, Amriti R Lulla, Said Akli, Cansu Karakas, Joseph A Caruso, Lucas D Warma, Natalie W Fowlkes, Xiayu Rao, Jing Wang, Kelly K Hunt, Stephanie S Watowich, Khandan Keyomarsi

Faculty, Staff and Student Publications

Metastatic disease remains the leading cause of death due to cancer, yet the mechanism(s) of metastasis and its timely detection remain to be elucidated. Neutrophil elastase (NE), a serine protease secreted by neutrophils, is a crucial mediator of chronic inflammation and tumor progression. In this study, we used the PyMT model (NE+/+ and NE-/-) of breast cancer to interrogate the tumor-intrinsic and -extrinsic mechanisms by which NE can promote metastasis. Our results showed that genetic ablation of NE significantly reduced lung metastasis and improved metastasis-free survival. RNA-sequencing analysis of primary tumors indicated differential regulation of tumor-intrinsic actin cytoskeleton signaling pathways …

Author Correction: Automating Data Analysis For Hydrogen/Deuterium Exchange Mass Spectrometry Using Data-Independent Acquisition Methodology, Frantisek Filandr, Vladimir Sarpe, Shaunak Raval, D Alex Crowder, Morgan F Khan, Pauline Douglas, Stephen Coales, Rosa Viner, Aleem Syed, John A Tainer, Susan P Lees-Miller, David C Schriemer

Faculty, Staff and Student Publications

No abstract provided.

Antigen-Clustered Nanovaccine Achieves Long-Term Tumor Remission By Promoting B/Cd 4 T Cell Crosstalk, Chengyi Li, Ryan Clauson, Luke F Bugada, Fang Ke, Bing He, Zhixin Yu, Hongwei Chen, Binyamin Jacobovitz, Hongxiang Hu, Polina Chuikov, Brett Dallas Hill, Syed M Rizvi, Yudong Song, Kai Sun, Pasieka Axenov, Daniel Huynh, Xinyi Wang, Lana Garmire, Yu Leo Lei, Irina Grigorova, Fei Wen, Marilia Cascalho, Wei Gao, Duxin Sun

Faculty, Staff and Student Publications

Current cancer vaccines using T cell epitopes activate antitumor T cell immunity through dendritic cell/macrophage-mediated antigen presentation, but they lack the ability to promote B/CD4 T cell crosstalk, limiting their anticancer efficacy. We developed antigen-clustered nanovaccine (ACNVax) to achieve long-term tumor remission by promoting B/CD4 T cell crosstalk. The topographic features of ACNVax were achieved using an iron nanoparticle core attached with an optimal number of gold nanoparticles, where the clusters of HER2 B/CD4 T cell epitopes were conjugated on the gold surface with an optimal intercluster distance of 5-10 nm. ACNVax effectively trafficked to lymph nodes and cross-linked with …

Targeting Branched N-Glycans And Fucosylation Sensitizes Ovarian Tumors To Immune Checkpoint Blockade, Hao Nie, Pratima Saini, Taito Miyamoto, Liping Liao, Rafal J Zielinski, Heng Liu, Wei Zhou, Chen Wang, Brennah Murphy, Martina Towers, Tyler Yang, Yuan Qi, Toshitha Kannan, Andrew Kossenkov, Hiroaki Tateno, Daniel T Claiborne, Nan Zhang, Mohamed Abdel-Mohsen, Rugang Zhang

Faculty, Staff and Student Publications

Aberrant glycosylation is a crucial strategy employed by cancer cells to evade cellular immunity. However, it's unclear whether homologous recombination (HR) status-dependent glycosylation can be therapeutically explored. Here, we show that the inhibition of branched N-glycans sensitizes HR-proficient, but not HR-deficient, epithelial ovarian cancers (EOCs) to immune checkpoint blockade (ICB). In contrast to fucosylation whose inhibition sensitizes EOCs to anti-PD-L1 immunotherapy regardless of HR-status, we observe an enrichment of branched N-glycans on HR-proficient compared to HR-deficient EOCs. Mechanistically, BRCA1/2 transcriptionally promotes the expression of MGAT5, the enzyme responsible for catalyzing branched N-glycans. The branched N-glycans on HR-proficient tumors augment their …

Ai Is A Viable Alternative To High Throughput Screening: A 318-Target Study, The Atomwise Aims Program

Faculty, Staff and Student Publications

High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, …

A Comparative Study Of A Non-Small Cell Lung Cancer Associated Egfr Missense Variant Of Uncertain Significance, Vanessa Mejia

Theses

Non-small cell lung cancer (NSCLC) is a form of lung cancer that can be driven by heightened activity of epidermal growth factor receptor encoded by the EGFR gene. Genetic variants in EGFR have been identified that lead to abnormal cell growth and tumorigenesis. The objectives of this study was to 1) determine if an EGFR variant of uncertain significance (VUS) associated with NSCLC is potentially damaging based on evaluation of the ortholog let-23 in the model organism, C. elegans, and 2) identify conserved missense VUS loci associated with NSCLC. Through ClinVar, the EGFR VUS c.845G>C(p.Gly282Ala) was identified in …

Population Coding Of Strategic Variables During Foraging In Freely Moving Macaques, Neda Shahidi, Melissa Franch, Arun Parajuli, Paul Schrater, Anthony Wright, Xaq Pitkow, Valentin Dragoi

Faculty, Staff and Student Publications

Until now, it has been difficult to examine the neural bases of foraging in naturalistic environments because previous approaches have relied on restrained animals performing trial-based foraging tasks. Here we allowed unrestrained monkeys to freely interact with concurrent reward options while we wirelessly recorded population activity in the dorsolateral prefrontal cortex. The animals decided when and where to forage based on whether their prediction of reward was fulfilled or violated. This prediction was not solely based on a history of reward delivery, but also on the understanding that waiting longer improves the chance of reward. The task variables were continuously …

A Multi-Institutional Comparison Of Retrospective Deformable Dose Accumulation For Online Adaptive Magnetic Resonance-Guided Radiotherapy, Martina Murr, Uffe Bernchou, Edyta Bubula-Rehm, Mark Ruschin, Parisa Sadeghi, Peter Voet, Jeff D Winter, Jinzhong Yang, Eyesha Younus, Cornel Zachiu, Yao Zhao, Hualiang Zhong, Daniela Thorwarth

Faculty, Staff and Student Publications

BACKGROUND AND PURPOSE: Application of different deformable dose accumulation (DDA) solutions makes institutional comparisons after online-adaptive magnetic resonance-guided radiotherapy (OA-MRgRT) challenging. The aim of this multi-institutional study was to analyze accuracy and agreement of DDA-implementations in OA-MRgRT.

MATERIAL AND METHODS: One gold standard (GS) case deformed with a biomechanical-model and five clinical cases consisting of prostate (2x), cervix, liver, and lymph node cancer, treated with OA-MRgRT, were analyzed. Six centers conducted DDA using institutional implementations. Deformable image registration (DIR) and DDA results were compared using the contour metrics Dice Similarity Coefficient (DSC), surface-DSC, Hausdorff-distance (HD95%), and accumulated dose-volume histograms (DVHs) …

Intraprocedural Versus Initial Follow-Up Minimal Ablative Margin Assessment After Colorectal Liver Metastasis Thermal Ablation: Which One Better Predicts Local Outcomes?, Yuan-Mao Lin, Iwan Paolucci, Jessica Albuquerque Marques Silva, Caleb S O'Connor, Bryan M Fellman, Aaron K Jones, Joshua D Kuban, Steven Y Huang, Zeyad A Metwalli, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Objectives: The aim of this study was to investigate the prognostic value of 3-dimensional minimal ablative margin (MAM) quantified by intraprocedural versus initial follow-up computed tomography (CT) in predicting local tumor progression (LTP) after colorectal liver metastasis (CLM) thermal ablation.

Materials and methods: This single-institution, patient-clustered, tumor-based retrospective study included patients undergoing microwave and radiofrequency ablation between 2016 and 2021. Patients without intraprocedural and initial follow-up contrast-enhanced CT, residual tumors, or with follow-up less than 1 year without LTP were excluded. Minimal ablative margin was quantified by a biomechanical deformable image registration method with segmentations of CLMs on intraprocedural preablation …

Comprehensive Analysis Of Transcription Factor-Based Molecular Subtypes And Their Correlation To Clinical Outcomes In Small-Cell Lung Cancer, Sehhoon Park, Tae Hee Hong, Soohyun Hwang, Simon Heeke, Carl M Gay, Jiyeon Kim, Hyun-Ae Jung, Jong-Mu Sun, Jin Seok Ahn, Myung-Ju Ahn, Jong Ho Cho, Yong Soo Choi, Jhingook Kim, Young Mog Shim, Hong Kwan Kim, Lauren Averett Byers, John V Heymach, Yoon-La Choi, Se-Hoon Lee, Keunchil Park

Faculty, Staff and Student Publications

BACKGROUND: Recent studies have reported the predictive and prognostic value of novel transcriptional factor-based molecular subtypes in small-cell lung cancer (SCLC). We conducted an in-depth analysis pairing multi-omics data with immunohistochemistry (IHC) to elucidate the underlying characteristics associated with differences in clinical outcomes between subtypes.

METHODS: IHC (n = 252), target exome sequencing (n = 422), and whole transcriptome sequencing (WTS, n = 189) data generated from 427 patients (86.4% males, 13.6% females) with SCLC were comprehensively analysed. The differences in the mutation profile, gene expression profile, and inflammed signatures were analysed according to the IHC-based molecular subtype.

FINDINGS: IHC-based …

C2h2 Zinc Finger Transcription Factors Associated With Hemoglobinopathies, Xing Zhang, Fangfang Xia, Xiaotian Zhang, Robert M Blumenthal, Xiaodong Cheng

Faculty, Staff and Student Publications

In humans, specific aberrations in β-globin results in sickle cell disease and β-thalassemia, symptoms of which can be ameliorated by increased expression of fetal globin (HbF). Two recent CRISPR-Cas9 screens, centered on ∼1500 annotated sequence-specific DNA binding proteins and performed in a human erythroid cell line that expresses adult hemoglobin, uncovered four groups of candidate regulators of HbF gene expression. They are (1) members of the nucleosome remodeling and deacetylase (NuRD) complex proteins that are already known for HbF control; (2) seven C2H2 zinc finger (ZF) proteins, including some (ZBTB7A and BCL11A) already known for directly silencing the fetal γ-globin …

Mitochondrial Regulation Of Gpx4 Inhibition-Mediated Ferroptosis In Acute Myeloid Leukemia, Hiroki Akiyama, Ran Zhao, Lauren B Ostermann, Ziyi Li, Matthew Tcheng, Samar J Yazdani, Arman Moayed, Malcolm L Pryor, Sandeep Slngh, Natalia Baran, Edward Ayoub, Yuki Nishida, Po Yee Mak, Vivian R Ruvolo, Bing Z Carter, Aaron D Schimmer, Michael Andreeff, Jo Ishizawa

Faculty, Staff and Student Publications

Resistance to apoptosis in acute myeloid leukemia (AML) cells causes refractory or relapsed disease, associated with dismal clinical outcomes. Ferroptosis, a mode of non-apoptotic cell death triggered by iron-dependent lipid peroxidation, has been investigated as potential therapeutic modality against therapy-resistant cancers, but our knowledge of its role in AML is limited. We investigated ferroptosis in AML cells and identified its mitochondrial regulation as a therapeutic vulnerability. GPX4 knockdown induced ferroptosis in AML cells, accompanied with characteristic mitochondrial lipid peroxidation, exerting anti-AML effects in vitro and in vivo. Electron transport chains (ETC) are primary sources of coenzyme Q

Dynamic Imaging Of Blood Coagulation Within The Hematoma Of Patients With Acute Hemorrhagic Stroke, Muhammad E Haque, Seth B Boren, James Mills, Kerry G Schneider, Maria Parekh, Stuart M Fraser, Ivo Bach, Praveen Hariharan, Pamela J Zelnick, Felix S Guerra Castanon, Asim Naveed, Muhammad Tariq, Octavio D Arevalo, Khader M Hasan, Miguel Escobar, Xiurong Zhao, Clark Sitton, Ponnada A Narayana, James C Grotta, Jaroslaw Aronowski, Sean I Savitz

Faculty, Staff and Student Publications

BACKGROUND: The dynamics of blood clot (combination of Hb [hemoglobin], fibrin, and a higher concentration of aggregated red blood cells) formation within the hematoma of an intracerebral hemorrhage is not well understood. A quantitative neuroimaging method of localized coagulated blood volume/distribution within the hematoma might improve clinical decision-making.

METHODS: The deoxyhemoglobin of aggregated red blood cells within extravasated blood exhibits a higher magnetic susceptibility due to unpaired heme iron electrons. We propose that coagulated blood, with higher aggregated red blood cell content, will exhibit (1) a higher positive susceptibility than noncoagulated blood and (2) increase in fibrin polymerization-restricted localized diffusion, …

New Horizons In Hyperpolarized13c Mri, Myriam M Chaumeil, James A Bankson, Kevin M Brindle, Shdema Epstein, Ferdia A Gallagher, Martin Grashei, Caroline Guglielmetti, Joshua D Kaggie, Kayvan R Keshari, Stephan Knecht, Christoffer Laustsen, Andreas B Schmidt, Daniel Vigneron, Yi-Fen Yen, Franz Schilling

Faculty, Staff and Student Publications

Hyperpolarization techniques significantly enhance the sensitivity of magnetic resonance (MR) and thus present fascinating new directions for research and applications with in vivo MR imaging and spectroscopy (MRI/S). Hyperpolarized 13C MRI/S, in particular, enables real-time non-invasive assessment of metabolic processes and holds great promise for a diverse range of clinical applications spanning fields like oncology, neurology, and cardiology, with a potential for improving early diagnosis of disease, patient stratification, and therapy response assessment. Despite its potential, technical challenges remain for achieving clinical translation. This paper provides an overview of the discussions that took place at the international workshop "New Horizons …

Unveiling Gene Interactions In Alzheimer's Disease By Integrating Genetic And Epigenetic Data With A Network-Based Approach, Keith L Sanders, Astrid M Manuel, Andi Liu, Boyan Leng, Xiangning Chen, Zhongming Zhao

Faculty, Staff and Student Publications

Alzheimer’s Disease (AD) is a complex disease and the leading cause of dementia in older people. We aimed to uncover aspects of AD’s pathogenesis that may contribute to drug repurposing efforts by integrating DNA methylation and genetic data. Implementing the network-based tool, a dense module search of genome-wide association studies (dmGWAS), we integrated a large-scale GWAS dataset with DNA methylation data to identify gene network modules associated with AD. Our analysis yielded 286 significant gene network modules. Notably, the foremost module included the BIN1 gene, showing the largest GWAS signal, and the GNAS gene, the most significantly hypermethylated. We conducted …

Digital Health Technologies For High-Risk Pregnancy Management: Three Case Studies Using Digilego Framework, Sahiti Myneni, Alexandra Zingg, Tavleen Singh, Angela Ross, Amy Franklin, Deevakar Rogith, Jerrie Refuerzo

Faculty, Staff and Student Publications

OBJECTIVE: High-risk pregnancy (HRP) conditions such as gestational diabetes mellitus (GDM), hypertension (HTN), and peripartum depression (PPD) affect maternal and neonatal health. Patient engagement is critical for effective HRP management (HRPM). While digital technologies and analytics hold promise, emerging research indicates limited and suboptimal support offered by the highly prevalent pregnancy digital solutions within the commercial marketplace. In this article, we describe our efforts to develop a portfolio of digital products leveraging advances in social computing, data science, and digital health.

METHODS: We describe three studies that leverage core methods from

RESULTS: Scalable social computing models using deep learning classifiers …

Social And Behavior Factors Of Alzheimer's Disease And Related Dementias: A National Study In The Us, David Ciciora, Elizabeth Vásquez, Edward Valachovic, Lifang Hou, Yinan Zheng, Hua Xu, Xiaoqian Jiang, Kun Huang, Kelley Pettee Gabriel, Hong-Wen Deng, Mary P Gallant, Kai Zhang

Faculty, Staff and Student Publications

Introduction: Considerable research has linked many risk factors to Alzheimer's Disease and Related Dementias (ADRD). Without a clear etiology of ADRD, it is advantageous to rank the known risk factors by their importance and determine if disparities exist. Statistical-based ranking can provide insight into which risk factors should be further evaluated.

Methods: This observational, population-based study assessed 50 county-level measures and estimates related to ADRD in 3,155 counties in the U.S. using data from 2010 to 2021. Statistical analysis was performed in 2022-2023. The machine learning method, eXtreme Gradient Boosting, was utilized to rank the importance of these variables by …

Deep Learning To Predict Rapid Progression Of Alzheimer's Disease From Pooled Clinical Trials: A Retrospective Study, Xiaotian Ma, Madison Shyer, Kristofer Harris, Dulin Wang, Yu-Chun Hsu, Christine Farrell, Nathan Goodwin, Sahar Anjum, Avram S Bukhbinder, Sarah Dean, Tanveer Khan, David Hunter, Paul E Schulz, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

The rate of progression of Alzheimer's disease (AD) differs dramatically between patients. Identifying the most is critical because when their numbers differ between treated and control groups, it distorts the outcome, making it impossible to tell whether the treatment was beneficial. Much recent effort, then, has gone into identifying RPs. We pooled de-identified placebo-arm data of three randomized controlled trials (RCTs), EXPEDITION, EXPEDITION 2, and EXPEDITION 3, provided by Eli Lilly and Company. After processing, the data included 1603 mild-to-moderate AD patients with 80 weeks of longitudinal observations on neurocognitive health, brain volumes, and amyloid-beta (Aβ) levels. RPs were defined …

In Vitro Activity Of Cefepime/Taniborbactam And Comparator Agents Against Gram-Negative Bacterial Bloodstream Pathogens Recovered From Patients With Cancer, Bahgat Gerges, Joel Rosenblatt, Y-Lan Truong, Ying Jiang, Samuel A Shelburne, Anne-Marie Chaftari, Ray Hachem, Issam Raad

Faculty, Staff and Student Publications

BACKGROUND: Taniborbactam is a β-lactamase inhibitor that, when combined with cefepime, may offer a potential treatment option for patients with serious and resistant Gram-negative bacterial (GNB) pathogens.

OBJECTIVES: This study evaluated

METHODS: A total of 270 GNB pathogens (2019-23) isolated from patients with cancer were tested against cefepime/taniborbactam and comparator agents commonly used for these patients. CLSI-approved broth microdilution methods were used. MIC

RESULTS: Cefepime/taniborbactam showed highly potent activity against tested Enterobacterales, including isolates producing ESBLs and carbapenem-resistant Enterobacterales. At a provisional breakpoint of ≤16/4 mg/L, cefepime/taniborbactam inhibited most tested species of GNB pathogens, with overall 98.9% susceptibility, which was …

Cancer Statistics In Korea: Incidence, Mortality, Survival, And Prevalence In 2021, Eun Hye Park, Kyu-Won Jung, Nam Ju Park, Mee Joo Kang, E Hwa Yun, Hye-Jin Kim, Jeong-Eun Kim, Hyun-Joo Kong, Jeong-Soo Im, Hong Gwan Seo

Faculty, Staff and Student Publications

PURPOSE: The current study provides national cancer statistics and their secular trends in Korea, including incidence, mortality, survival, and prevalence in 2021.

MATERIALS AND METHODS: Incidence, survival, and prevalence rates of cancer were calculated using the Korea National Cancer Incidence Database, from 1999 to 2021, with survival follow-up until December 31, 2022. Deaths from cancer were assessed using causes-of-death data obtained from Statistics Korea.

RESULTS: The number of new cancer diagnoses in 2021 increased by 27,002 cases (10.8%) compared to 2020. In 2021, newly diagnosed cancer cases and deaths from cancer were reported as 277,523 (age-standardized rate [ASR], 289.3 per …

Prediction Of Cancer Incidence And Mortality In Korea, 2024, Kyu-Won Jung, Mee Joo Kang, Eun Hye Park, E Hwa Yun, Hye-Jin Kim, Jeong-Eun Kim, Hyun-Joo Kong, Jeong-Soo Im, Hong Gwan Seo

Faculty, Staff and Student Publications

PURPOSE: This study aimed to report the projected cancer incidence and mortality for the year 2024 to estimate Korea's current cancer burden.

MATERIALS AND METHODS: Cancer incidence data from 1999 to 2021 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2022 were acquired from Statistics Korea. Cancer incidence and mortality were projected by fitting a linear regression model to observed age-specific cancer rates against their respective years and multiplying the projected age-specific rates by the anticipated age-specific population for 2024. A joinpoint regression model was used to determine the year in which …

E-Cadherin Loss Drives Diffuse-Type Gastric Tumorigenesis Via Ezh2-Mediated Reprogramming, Gengyi Zou, Yuanjian Huang, Shengzhe Zhang, Kyung-Pil Ko, Bongjun Kim, Jie Zhang, Vishwa Venkatesan, Melissa P Pizzi, Yibo Fan, Sohee Jun, Na Niu, Huamin Wang, Shumei Song, Jaffer A Ajani, Jae-Il Park

Faculty, Staff and Student Publications

Diffuse-type gastric adenocarcinoma (DGAC) is a deadly cancer often diagnosed late and resistant to treatment. While hereditary DGAC is linked to CDH1 mutations, the role of CDH1/E-cadherin inactivation in sporadic DGAC tumorigenesis remains elusive. We discovered CDH1 inactivation in a subset of DGAC patient tumors. Analyzing single-cell transcriptomes in malignant ascites, we identified two DGAC subtypes: DGAC1 (CDH1 loss) and DGAC2 (lacking immune response). DGAC1 displayed distinct molecular signatures, activated DGAC-related pathways, and an abundance of exhausted T cells in ascites. Genetically engineered murine gastric organoids showed that Cdh1 knock-out (KO), KrasG12D, Trp53 KO (EKP) accelerates tumorigenesis with immune evasion …

Protective Effects Of The Postbiotic Lactobacillus Plantarum Md35 On Bone Loss In An Ovariectomized Mice Model, Ju-Yeong Myeong, Hye-Yeon Jung, Hyo-Seok Chae, Hyang Hyun Cho, Don-Kyu Kim, You-Jee Jang, Jae-Il Park

Faculty, Staff and Student Publications

Postmenopausal osteoporosis is caused by estrogen deficiency, which impairs bone homeostasis, resulting in increased osteoclastic resorption without a corresponding increase in osteoblastic activity. Postbiotics have several therapeutic properties, including anti-obesity, anti-diabetic, anti-inflammatory, and anti-osteoporotic effects. However, the beneficial effects of the postbiotic MD35 of Lactobacillus plantarum on bone have not been studied. In this study, we demonstrated that the postbiotic L. plantarum MD35, isolated from young radish water kimchi, influences osteoclast differentiation in mouse bone marrow-derived macrophage (BMM) culture. In addition, it was effective protecting against estrogen deficiency-induced bone loss in ovariectomized (OVX) mice, an animal model of postmenopausal osteoporosis. …

Clinical Efficacy Of Blood Derivatives On Wound Healing: A Systematic Review And Network Meta-Analysis, Yanhong Wu, Guang Peng, Yuzhi Wang, Jianwu Chen, Bin Zhang, Jianbing Tang, Biao Cheng

Faculty, Staff and Student Publications

This study aims to evaluate the clinical effects of different blood derivatives on wound healing using network meta-analysis. PubMed, Embase, OVID, Web of Science, SCOPUS and Cochrane Central were searched to obtain studies about blood derivatives on wound healing until October 2023. R 4.2.0 and Stata 15.0 softwares were used for data analysis. Forty-four studies comprising 5164 patients were included. The results of network meta-analysis showed that the healing area from high to low was GF + ORCCB, ORCCB, GF, PRF, Unnas paste dressing, APG, PRP injection, PRP, PRP + thrombin gel, PPP, HPL, CT. The healing time from low …

Systemic Neutrophil Gelatinase-Associated Lipocalin Alterations In Chronic Pancreatitis: A Multicenter, Cross-Sectional Study, Kristyn Gumpper-Fedus, Kaylin Chasser, Valentina Pita-Grisanti, Molly Torok, Timothy Pfau, Thomas A Mace, Rachel M Cole, Martha A Belury, Stacey Culp, Phil A Hart, Somashekar G Krishna, Luis F Lara, Mitchell L Ramsey, William Fisher, Evan L Fogel, Chris E Forsmark, Liang Li, Stephen Pandol, Walter G Park, Jose Serrano, Stephen K Van Den Eeden, Santhi Swaroop Vege, Dhiraj Yadav, Darwin L Conwell, Zobeida Cruz-Monserrate, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Introduction: Chronic pancreatitis (CP) is a progressive fibroinflammatory disorder lacking therapies and biomarkers. Neutrophil gelatinase-associated lipocalin (NGAL) is a proinflammatory cytokine elevated during inflammation that binds fatty acids (FAs) such as linoleic acid. We hypothesized that systemic NGAL could serve as a biomarker for CP and, with FAs, provide insights into inflammatory and metabolic alterations.

Methods: NGAL was measured by immunoassay, and FA composition was measured by gas chromatography in plasma (n = 171) from a multicenter study, including controls (n = 50), acute and recurrent acute pancreatitis (AP/RAP) (n = 71), and CP (n = 50). Peripheral blood mononuclear …

Premastectomy Radiotherapy And Immediate Breast Reconstruction: A Randomized Clinical Trial, Mark V Schaverien, Puneet Singh, Benjamin D Smith, Wei Qiao, Catherine L Akay, Elizabeth S Bloom, Mariana Chavez-Macgregor, Carrie K Chu, Mark W Clemens, Jessica S Colen, Richard A Ehlers, Rosa F Hwang, Melissa M Joyner, Rene D Largo, Alexander F Mericli, Melissa P Mitchell, John W Shuck, Nina Tamirisa, Debasish Tripathy, Mark T Villa, Wendy A Woodward, Rensi Zacharia, Henry M Kuerer, Karen E Hoffman

Faculty, Staff and Student Publications

Importance: Premastectomy radiotherapy (PreMRT) is a new treatment sequence to avoid the adverse effects of radiotherapy on the final breast reconstruction while achieving the benefits of immediate breast reconstruction (IMBR).

Objective: To evaluate outcomes among patients who received PreMRT and regional nodal irradiation (RNI) followed by mastectomy and IMBR.

Design, setting, and participants: This was a phase 2 single-center randomized clinical trial conducted between August 3, 2018, and August 2, 2022, evaluating the feasibility and safety of PreMRT and RNI (including internal mammary lymph nodes). Patients with cT0-T3, N0-N3b breast cancer and a recommendation for radiotherapy were eligible.

Intervention: This …

Final Report Of The Phase Ii Next/Cns-Gct-4 Trial: Gempox Followed By Marrow-Ablative Chemotherapy For Recurrent Intracranial Germ Cell Tumors, Margaret Shatara, Megan Blue, Joseph Stanek, Yin A Liu, Daniel M Prevedello, Pierre Giglio, Vinay K Puduvalli, Sharon L Gardner, Jeffrey C Allen, Kenneth K Wong, Marvin D Nelson, Floyd H Gilles, Roberta H Adams, Jasmine Pauly, Katrina O'Halloran, Ashley S Margol, Girish Dhall, Jonathan L Finlay

Faculty, Staff and Student Publications

Background: Patients with relapsed intracranial germinoma can achieve durable remission with standard chemotherapy regimens and/or reirradiation; however, innovative therapies are required for patients with relapsed and/or refractory intracranial nongerminomatous germ cell tumors (NGGCTs) due to their poor prognosis. Improved outcomes have been reported using reinduction chemotherapy to achieve minimal residual disease, followed by marrow-ablative chemotherapy (HDCx) with autologous hematopoietic progenitor cell rescue (AuHPCR). We conducted a phase II trial evaluating the response and toxicity of a 3-drug combination developed for recurrent intracranial germ cell tumors consisting of gemcitabine, paclitaxel, and oxaliplatin (GemPOx).

Methods: A total of 9 patients with confirmed …

The Tudor-Knot Domain Of Kat5 Regulates Nucleosomal Substrate Acetylation, Fan Xuan, Hongwen Xuan, Mengying Huang, Wei He, Han Xu, Xiaobing Shi, Hong Wen

Faculty, Staff and Student Publications

The lysine acetyltransferase KAT5 is a pivotal enzyme responsible for catalyzing histone H4 acetylation in cells. In addition to its indispensable HAT domain, KAT5 also encompasses a conserved Tudor-knot domain at its N-terminus. However, the function of this domain remains elusive, with conflicting findings regarding its role as a histone reader. In our study, we have employed a CRISPR tiling array approach and unveiled the Tudor-knot motif as an essential domain for cell survival. The Tudor-knot domain does not bind to histone tails and is not required for KAT5's chromatin occupancy. However, its absence leads to a global reduction in …

Flexible Bayesian Product Mixture Models For Vector Autoregressions, Suprateek Kundu, Joshua Lukemire

Faculty, Staff and Student Publications

Bayesian non-parametric methods based on Dirichlet process mixtures have seen tremendous success in various domains and are appealing in being able to borrow information by clustering samples that share identical parameters. However, such methods can face hurdles in heterogeneous settings where objects are expected to cluster only along a subset of axes or where clusters of samples share only a subset of identical parameters. We overcome such limitations by developing a novel class of product of Dirichlet process location-scale mixtures that enables independent clustering at multiple scales, which results in varying levels of information sharing across samples. First, we develop …