Medicine and Health Sciences Commons^™

Combining Biology-Based And Mri Data-Driven Modeling To Predict Response To Neoadjuvant Chemotherapy In Patients With Triple-Negative Breast Cancer, Casey E Stowers, Chengyue Wu, Zhan Xu, Sidharth Kumar, Clinton Yam, Jong Bum Son, Jingfei Ma, Jonathan I Tamir, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype associated with limited targeted treatment options, heterogeneous treatment response, and high risk of early recurrence. Artificial intelligence (AI) has rapidly emerged as a powerful tool to address key clinical challenges in TNBC across diagnosis, treatment response assessment, and prognosis. Diagnostic and staging challenges persist due to variable imaging features in TNBC and limitations in conventional modalities, increasing the risk of delayed detection. Predicting response to neoadjuvant systemic therapy remains difficult, as patient responses are heterogeneous, and existing clinical markers provide limited early predictive value. Prognostication in TNBC is similarly constrained …

Development Of An H&E On-Block Staining Technique For Collagen Detection In Cryo-Fluorescence Tomography Imaging Of Frozen Breast Tissue Samples, Erin P Snoddy, Tien T Tang, Natalie Fowlkes, Thomas Huynh, Kari J Brewer Savannah, Alejandro Contreras, Gregory Reece, Kristy K Brock

Faculty, Staff and Student Publications

Hematoxylin and eosin (H&E) staining is widely considered to be the gold-standard diagnostic tool for histopathology evaluation. However, the fatty nature of some tissue types, such as breast tissue, presents challenges with cryo-sectioning, often resulting in artifacts that can make histopathologic interpretation and correlation with other imaging modalities virtually impossible. We present an optimized on-block H&E staining technique that improves contrast for identifying collagenous stroma during cryo-fluorescence tomography (CFT) sectioning. In this prospective study, we embedded four breast specimens with confirmed ligaments from a bilateral mastopexy in an optimal cutting temperature block. Two of the samples were processed on a …

Impact Of Active Surveillance On Nephrometric Scores Of Bosniak Iii And Iv Renal Cysts, Roberto Dias Machado, Leonardo Bernardes De Amaro, Alessandro Prudente, Eliney Ferreira Faria, Antonio Antunes Rodrigues Júnior, Aradhana M Venkatesan, Jose A Karam, Valdair F Muglia, Leonardo O Reis, Rodolfo Borges Dos Reis

Faculty, Staff and Student Publications

Purpose: Active surveillance (AS) has been widely explored for small renal masses, but its role in complex renal cysts (CRCs) categorized as Bosniak (Bk) III and IV remains unclear. This study aims to evaluate changes in nephrometry scores (s-RENAL and s-PADUA) during AS and their potential impact on surgical complexity.

Methods: A retrospective, multicentric, observational study was conducted, analyzing 101 CRCs from 95 patients across three institutions. Nephrometry scores were evaluated at baseline and after a minimum follow-up of two years using computed tomography (CT) and magnetic resonance imaging (MRI). Statistical analysis included chi-square and marginal homogeneity tests, with data …

Isotonic Phase I Cancer Clinical Trial Design Utilizing Patient-Reported Outcomes, Nolan A Wages, Ruitao Lin

Faculty, Staff and Student Publications

This article considers the concept of designing Phase I clinical trials using both clinician- and patient-reported outcomes to adaptively allocate study participants to tolerable doses and determine the maximum tolerated dose (MTD) at the study conclusion. We describe a new isotonic patient-reported outcome (PRO-ISO) Phase I design with the flexibility of allocating patients to lower, more tolerable regimens if a large number of PRO-DLT events are seen at higher doses. We conduct simulation studies of the operating characteristics of the design and compared them to the patient-reported outcomes continual reassessment method (PRO-CRM). We illustrate that the PRO-ISO makes appropriate dose …

Wnt7a, Naomi M Calhoun, Richard R Behringer

Faculty, Staff and Student Publications

WNT7A regulates numerous developmental processes. It can activate canonical and non-canonical signaling depending on context. It is expressed in the developing central nervous system, limb buds, reproductive organs, and other tissues. Spontaneous and targeted Wnt7a mutations in mouse models resulted in abnormal limbs, defects in male and female reproductive tract organs, infertility, and defects in cerebellar axon remodeling. In zebrafish, wnt7aa mutants exhibited neurogenesis and angiogenesis defects in the central nervous system. In humans, recessive WNT7A missense and nonsense mutations resulted in severe limb and pelvic bone defects. Alterations in WNT7A expression correlated with multiple types of cancer.

Bismuth-Infused Perivascular Wrap Facilitates Delivery Of Mesenchymal Stem Cells And Attenuation Of Neointimal Hyperplasia In Rat Arteriovenous Fistulas, Allan John R Barcena, Joy Vanessa D Perez, Marvin R Bernardino, Jossana A Damasco, Erin Marie D San Valentin, Carleigh Klusman, Benjamin Martin, Gino Martin Canlas, Francisco M Heralde, Natalie Fowlkes, Richard R Bouchard, Jizhong Cheng, Steven Y Huang, Marites P Melancon

Faculty, Staff and Student Publications

BACKGROUND: Mesenchymal stem cells (MSCs) have emerged as novel therapies for supporting arteriovenous fistula (AVF) maturation, and bioresorbable polymeric scaffolds have enabled sustained MSC delivery into maturing AVFs. However, the radiolucency of biopolymeric wraps prevents in vivo monitoring of their integrity and location, hindering long-term preclinical investigations.

METHODS: We infused bismuth nanoparticles (BiNPs) into polycaprolactone (PCL) to fabricate an electrospun perivascular wrap capable of MSC delivery and conducive to longitudinal monitoring using conventional imaging. We tested the wraps' effects on the attenuation of markers of neointimal hyperplasia (i.e., endothelial dysfunction, hypoxia, and inflammation), the leading cause of AVF failure, in …

Disparities In Breast Cancer Detection Modalities And Outcomes Among Geriatric Female Cancer Patients, Zhaoli Liu, Mathilda Nicot-Cartsonis, Biai D E Digbeu, Daoqi Gao, Sharon H Giordano, Yong-Fang Kuo

Faculty, Staff and Student Publications

This study examined racial and geographic disparities in breast cancer detection modalities (screening-, diagnostic-, or non-mammography) with cancer stage and mortality. A retrospective cohort study was conducted using Texas Cancer Registry-Medicare linkage data for geriatric women. Cancers detected through screening and diagnostic mammography had 43 % (95 % CI, 39 %-46 %, p < .0001) and 31 % (95 % CI, 27 %-35 %, p < .0001) lower all-cause mortality, and 49 % (95 % CI, 41 %-54 %, p < .0001) and 37 % (95 % CI, 32 %-43 %, p < .0001) lower cancer-specific mortality, respectively, compared to non-mammography-detected breast cancers. Patients from rural areas were 17 % (95 % CI, 1.06 - 1.29) more likely to be diagnosed with mid- (p = .0023) and advanced stage (p = .003) cancers compared to their urban counterparts. Racial or geographic disparities in cancer detection modalities with associated mortality no longer exist after adjusting for covariates. Healthcare professionals can leverage these findings to promote rural cancer health equity.

Organ Of Corti Macrophages: A Distinct Group Of Cochlear Macrophages With Potential Roles In Supporting Cell Degeneration And Survival, Mengxiao Ye, Celia Zhang, Dalian Ding, Guang-Di Chen, Henry J Adler, Rania Sharaf, Bo Hua Hu

Faculty, Staff and Student Publications

Macrophages are the primary immune cells in the cochlea, essential for maintaining cochlear homeostasis and orchestrating inflammatory responses to pathological events. Although these cells have been found in various parts of the cochlea, their presence in the organ of Corti, a critical structure for acoustic sensing, remains poorly understood. The present study was designed to examine macrophage responses to ototoxic drug-induced cochlear damage and age-related cochlear degeneration, with a particular focus on the pathological conditions that trigger macrophage recruitment into the organ of Corti. We used a model of ototoxicity induced by cyclodextrin, a cyclic oligosaccharide known for its ability …

A Cytotoxic Peptide-Drug Conjugate For Tumor-Specific Delivery Of Co-Injected Molecules, Norio Miyamura, Chisato M Yamazaki, Yasuaki Anami, Kyoji Tsuchikama, Kazuki N Sugahara

Faculty, Staff and Student Publications

An ideal cancer therapy enhances anti-tumor effects while minimizing side effects. iRGD, a non-cytotoxic peptide that activates a tumor-specific molecular transport machinery, promotes the penetration of co-injected drugs into tumor tissues. Clinical trials have demonstrated its potential as a tumor-specific delivery scaffold and potentiator of anti-cancer agents. In this study, we synthesized an iRGD conjugate containing monomethyl auristatin F (MMAF), a highly toxic antimitotic agent, and characterized its dual function as a tumor-specific cytotoxic agent and co-injected drug delivery scaffold. The iRGD-MMAF conjugate internalized and killed cultured tumor cells in an αv integrin-dependent manner. When injected systemically, iRGD-MMAF homed selectively …

Integrating Multi-Omics Data To Uncover Prostate Tissue Dna Methylation Biomarkers And Target Genes For Prostate Cancer Risk, Shuai Liu, Jingjing Zhu, Dylan Green, Hua Zhong, Quan Long, Chong Wu, Liang Wang, Youping Deng, Lang Wu

Faculty, Staff and Student Publications

Previous studies have indicated that specific CpG sites may be linked to the risk of prostate cancer (PCa) by regulating the expression of PCa target genes. However, most existing studies aim to identify DNA methylation (DNAm) biomarkers through blood tissue genetic instruments, which impedes the identification of relevant biomarkers in prostate tissue. To identify PCa risk-associated CpG sites in prostate tissue, we established genetic prediction models of DNAm levels using data from normal prostate samples in the GTEx (N = 108) and assessed associations between genetically predicted DNAm in prostate and PCa risk by studying 122,188 cases and 604,640 controls. …

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model To Predict Late Xerostomia In Patients With Head And Neck Cancer, Hung Chu, Suzanne P M De Vette, Hendrike Neh, Nanna M Sijtsema, Roel J H M Steenbakkers, Amy Moreno, Johannes A Langendijk, Peter M A Van Ooijen, Clifton D Fuller, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Purpose: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland doses. This study aimed to improve the prediction of late xerostomia by using 3-dimensional information from radiation dose distributions, computed tomography imaging, organ-at-risk segmentations, and clinical variables with deep learning (DL).

Methods and materials: An international cohort of 1208 patients with head and neck cancer from 2 institutes was used to train and twice validate DL models (deep convolutional neural network, EfficientNet-v2, and ResNet) with 3-dimensional dose distribution, …

Bronchoalveolar Lavage Cell Percentages As Diagnostic Markers Of Immune Checkpoint Inhibitor Pneumonitis, Mahnoor Mir, Felipe Soto, Pedro Antonio Amezcua Gomez, Rodrigo Del Rio Arroyo, Adarsh Suresh, Amber Su, Qiong Gan, John Stewart, Roberto Adachi, Diwakar D Balachandran, Lara Bashoura, Roberto F Casal, Burton F Dickey, George A Eapen, Scott E Evans, Horiana Grosu, Carlos A Jimenez, Julie Lin, David E Ost, Bruce F Sabath, Vickie R Shannon, Aung Naing, Jianjun Gao, Jia Wu, Karthik Suresh, Saadia A Faiz, Mehmet Altan, Ajay Sheshadri

Faculty, Staff and Student Publications

Introduction: Diagnostic biomarkers for immune checkpoint inhibitor pneumonitis (ICIP) are lacking. Bronchoalveolar lavage (BAL) lymphocytosis has been associated with ICIP, but studies have not evaluated BAL lymphocytosis as a diagnostic biomarker for ICIP.

Purpose: This study aimed to measure the association of BAL immune cell percentage with ICIP and test its performance as a diagnostic biomarker.

Methods: We performed a retrospective chart review of 476 patients treated with ICIs for solid organ or hematologic malignancies who underwent BAL between 2016 and 2022. Two independent reviewers, blinded to the results of BAL cell percentage, confirmed the diagnosis of ICIP or other …

Deep Dive Into Targeted Therapies: Understanding Idh1-Mutant Aml Treatments [Podcast], Amer M Zeidan, Courtney Dinardo

Faculty, Staff and Student Publications

This podcast episode reviews recent advances in the treatment of IDH1-mutant acute myeloid leukemia (AML), focusing on the mechanisms, efficacy, and safety profiles of approved IDH1 inhibitors. The purpose is to present expert insights and clinical data from key trials that underscore the clinical benefits of these targeted therapies. Through discussion of key findings from pivotal clinical trial studies, including data supporting the use of these agents in both newly diagnosed and relapsed or refractory (R/R) settings, the episode highlights significant outcomes such as increased overall response and prolonged duration of remission in patients treated with IDH1 inhibitors. The analysis …

Impact Of Personalized Risk Scores On Shared Decision Making In Left Ventricular Assist Device Implantation: Findings From A Qualitative Study, Holland Kaplan, Kristin Kostick-Quenet, Benjamin Lang, Robert J Volk, Jennifer Blumenthal-Barby

Center for Medical Ethics and Health Policy Staff Publications

Objective: To assess stakeholders' perspectives on integrating personalized risk scores (PRS) into left ventricular assist device (LVAD) implantation decisions and how these perspectives might impact shared decision making (SDM).

Methods: We conducted 40 in-depth interviews with physicians, nurse coordinators, patients, and caregivers about integrating PRS into LVAD implantation decisions. A codebook was developed to identify thematic patterns, and quotations were consolidated for analysis. We used Thematic Content Analysis in MAXQDA software to identify themes by abstracting relevant quotes.

Results: Clinicians had varying preferences regarding PRS integration into LVAD decision making, while patients and caregivers preferred real-time discussions about PRS with …

Determining Essential Regulatory Factors In Extravillous-Trophoblast Differentiation And Splice Variants Associated With The Development Of Preeclampsia, Brandt Hugh Beck

Electronic Theses & Dissertations (2024 - present)

Preeclampsia is a common condition affecting mothers across the world. Rates for preeclampsia have been rising in the past years due to factors such as obesity and diabetes. Since this condition has been more prevalent, a better understanding of the factors surrounding the preeclamptic state are needed. Core cell types and biological functions of placenta development are known but the cause behind the preeclamptic environment is not well understood. This research aims to investigate the potential causes behind preeclampsia by first reviewing Extravillous-Trophoblast differentiation factors in the context of differential gene expression and alternative splicing then evaluate towards preeclamptic tissue. …

To Discard Or Not To Discard 1pns? A Systematic Review And Meta-Analysis On 291,474 Embryos, T. Lee, F. Qi, K. Peirce, J. Natalwala, V. Chapple, P. J. Mark, K. Sanders, Y. Liu

Research outputs 2022 to 2026

Unlike embryos that display two pronuclei (2PN), monopronucleated (1PN) embryos are assumed to be haploid and can be routinely discarded. Although there are reports of live births after 1PN embryo transfer, the developmental and clinical prognosis of 1PN embryos has not been systematically evaluated. The aim of this review was to elucidate the developmental, clinical and neonatal outcomes of 1PN embryos compared with 2PN embryos. Twenty-four studies met the inclusion criteria. The blastulation rate was lower in 1PN embryos compared with 2PN embryos [risk ratio (RR) 0.50, 95% CI 0.48–0.51]. The live birth rate was lower in 1PN blastocysts when …

Id-Gba: Subgraph Extension With Information Distance Guilt By Association In Complex Networks, Predrag Obradovic, Vladimir Kovacevic, Aleksandar Milosavljevic, Varduhi Petrosyan

Faculty, Staff and Students Publications

Here, we introduce the ID-GBA (Information Distance Guilt By Association) method to expand highly connected sets of nodes by deploying a novel algorithm for subgraph extension based on the guilt-by-association principle and information distance. In this study, ID-GBA was utilized to expand disease clusters, and identify novel disease genes. We first validate its ability to expand related disease sets from disease/disease graphs built using Open Targets' gene association scores. We then analyze disease/control gene expression networks and show that ID-GBA recaptures known disease genes in nine disease/control graphs. Compared to existing methods such as Random Walk with Restarts and Personalized …

Bayesian Covariate-Dependent Circadian Modeling Of Rest-Activity Rhythms, Beniamino Hadj-Amar, Vaishnav Krishnan, Marina Vannucci

Faculty, Staff and Students Publications

We propose a Bayesian covariate-dependent anti-logistic circadian model for analyzing activity data collected via wrist-worn wearable devices. The proposed approach integrates covariates into the modeling of the amplitude and phase parameters, facilitating cohort-level analysis with enhanced flexibility and interpretability. To promote model sparsity, we employ an l1-ball projection prior, enabling precise control over complexity while identifying significant predictors. We assess performances on simulated data and then apply the method to real-world actigraphy data from people with epilepsy. Our results demonstrate the model’s effectiveness in uncovering complex relationships among demographic, psychological, and medical factors influencing rest-activity rhythms, offering insights for …

Epilepsy Clinic Analytics: Leveraging Emr Reporting Tools To Characterize Center Volume And Complexity, Vanuli Arya, Arindam Ghosh Mazumder, Muna Nnamani, Mark A Abboud, Samuel C Lee, Michael S Guzman, Vaishnav Krishnan

Faculty, Staff and Students Publications

Introduction: Epilepsy centers connect patients to multidisciplinary provider groups that can coordinate surgical interventions and/or investigational treatments. Automated techniques to cross-sectionally review patient volume and complexity may reveal objective metrics to assign appropriate personnel and resources. Here, we leveraged an electronic medical record (EMR) reporting tool to examine how patient and visit volumes, antiseizure medication (ASM) prescriptions and neuromodulation use evolved over an 11-year epoch at a single level 4 adult epilepsy center in Texas, USA.

Methods: Using Epic Workbench Reporting, we acquired the dates of (i) all clinic visits (office or telemedicine), (ii) CPT codes for neuromodulation interrogation/programming, and …

Glutamatergic Lateral Habenula Neurons Modulate Consolidation Of Associative Memories, Snigdha Srivastava, I-Ching Wang, Mikhail Y Kochukov, Jessica L Swanson, Mauro Costa-Mattioli, Benjamin R Arenkiel

Duncan NRI Faculty and Staff Publications

INTRODUCTION: Despite the rise in psychiatric disorders worldwide, the underlying brain circuits responsible for these devastating conditions remain elusive. The lateral habenula (LHb) has emerged as a key brain structure in depression studies due to its hyperactive state in both patients and animal models. While this aligns with known roles in driving aversive states and regulating serotonin release, it is still unclear how acute and transient activity changes in the LHb can influence higher order cognitive processes such as learning, memory, and behavioral adaptation. Given the importance of these processes to psychiatric conditions, understanding how LHb activity impacts cognitive function …

Drosophila Models Uncover Substrate Channeling Effects On Phospholipids And Sphingolipids In Peroxisomal Biogenesis Disorders, Michael F Wangler, Yu-Hsin Chao, Mary Roth, Ruth Welti, James A Mcnew

Duncan NRI Faculty and Staff Publications

Peroxisomal Biogenesis Disorders Zellweger Spectrum (PBD-ZSD) disorders are a group of autosomal recessive defects in peroxisome formation that produce a multi-systemic disease presenting at birth or in childhood. Well documented clinical biomarkers such as elevated very long chain fatty acids (VLCFA) are key biochemical diagnostic findings in these conditions. Additional, secondary biochemical alterations such as elevated very long chain lysophosphatidylcholines are allowing newborn screening for peroxisomal disease. In addition, a more widespread impact on metabolism and lipids is increasingly being documented by metabolomic and lipidomic studies. Here we utilize Drosophila models of pex2 and pex16 as well as human plasma …

When Families Bridge The Research-Clinical Divide: An Exploration Of Values Regarding Cascade Screening In Genomic Research, Katherine E Bonini, Lauren R Desrosiers-Battu, Ann Katherine M Foreman, Nuriye N Sahin-Hodoglugil, Mary A Majumder, Candice R Finnila, Stephanie A Kraft, Laura M Amendola, Eimear E Kenny, Stephanie M Fullerton, Sara L Ackerman, Benjamin S Wilfond, Amy L Mcguire, Hadley Stevens Smith

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Genetic results are important for both patients and their biological relatives. However, cascade screening (CS) uptake is low, especially when testing occurs through research programs and not clinical care. Ethical guidance is needed for CS implementation when individuals receive clinical genetic results through research.

Methods: We conducted focus groups with 3 groups of individuals in the Clinical Sequencing Evidence-Generating Research Consortium: clinicians, patient representatives, and scholars of the ethical, legal, and social implications of genomics. We used inductive thematic and comparative analyses to analyze data within and across the groups.

Results: All participants (n = 27) agreed that …

Deep Brain Stimulation For Childhood Treatment-Resistant Obsessive-Compulsive Disorder: Mental Health Clinician Views On Candidacy Factors, Ilona Cenolli, Tiffany A Campbell, Natalie Dorfman, Meghan Hurley, Jared N Smith, Kristin Kostick-Quenet, Eric A Storch, Jennifer Blumenthal-Barby, Gabriel Lázaro-Muñoz

Center for Medical Ethics and Health Policy Staff Publications

Introduction: Deep brain stimulation (DBS) is approved under a humanitarian device exemption to manage treatment-resistant obsessive-compulsive disorder (TR-OCD) in adults. It is possible that DBS may be trialed or used clinically off-label in children and adolescents with TR-OCD in the future. DBS is already used to manage treatment-resistant childhood dystonia. Evidence suggests it is a safe and effective intervention for certain types of dystonia. Important questions remain unanswered about the use of DBS in children and adolescents with TR-OCD, including whether mental health clinicians would refer pediatric patients for DBS, and who would be a good candidate for DBS.

Objectives: …

Advancing Medical Applications Of Cancer Nanotechnology: Highlighting Two Decades Of The Nci's Nanotechnology Characterization Laboratory Service To The Research Community, Rachael M Crist, Yechezkel Barenholz, Ahuva Cern, Kate N Clark, Pieter R Cullis, Cheryl Dean, Neil Desai, Mauro Ferrari, Matthieu Germain, Carmen A Giacomantonio, Emma Grabarnik, Piotr Grodzinski, Atara Hod, Barry E Kennedy, Ruvanthi N Kularatne, Glen S Kwon, Emmanuel Loeb, Erin B Noftall, Len Pagliaro, Morteza Rasoulianboroujeni, Alexander Roth, Darren Rowles, Kulbir Singh, Nicole F Steinmetz, Zhanna Yehtina, Yao Zhang, Daniel Zilbersheid, Jeffrey D Clogston, Stephan T Stern, Marina A Dobrovolskaia

Center for Medical Ethics and Health Policy Staff Publications

The Nanotechnology Characterization Laboratory (NCL) is a US federally funded resource providing characterization and expertise to the cancer nanomedicine research community. Founded as a formal partnership among the US National Cancer Institute (NCI), the US Food and Drug Administration (FDA), and the US National Institute of Standards and Technology (NIST), the NCL has spent two decades developing a one-of-a-kind service with broad multidisciplinary expertise to meet the needs of a rapidly evolving drug development field. To mark the 20th anniversary of the lab's founding, the NCL hosted a symposium to highlight the achievements of the cancer nanomedicine field, showcase novel, …

The Human Spinothalamic Tract: Lessons From Cordotomy, Anthony K Allam, Michael Benjamin Larkin, Ishan A Patel, Mohammed Hasen, David Mears, Patrick Dougherty, Ashwin Viswanathan

Faculty, Staff and Student Publications

The spinothalamic tract has long been known as a primary conductor of nociceptive information, with its anatomical and physiological understanding evolving over centuries of research. This comprehensive review traces the history of the spinothalamic tract beginning with Brown-Sequard’s 1860 report of contralateral analgesia following a hemisection of the spinal cord. As clinical and surgical interventions, such as cordotomies have advanced, so did our understanding of the spinothalamic tract’s function and anatomy. The spinothalamic tract’s role as a crossed pathway conducting pain and temperature sensations was solidified by the mid-20th century. However, intricate details of its somatotopic arrangement, anatomical distributions and …

Resort Enhances Reference-Based Cell Type Deconvolution For Spatial Transcriptomics Through Regional Information Integration, Linhua Wang, Ling Wu, Guantong Qi, Chaozhong Liu, Wanli Wang, Xiang H-F Zhang, Zhandong Liu

Duncan NRI Faculty and Staff Publications

Motivation: Spatial transcriptomics (ST) captures positional gene expression within tissues but lacks single-cell resolution. Reference-based cell type deconvolution methods were developed to understand cell type distributions for ST. However, batch/platform discrepancies between references and ST impact their accuracy.

Results: We present Region-based Cell Sorting (ReSort), which utilizes ST's region-level data to lessen reliance on reference data and alleviate these technical issues. In simulation studies, ReSort enhances reference-based deconvolution methods. Applying ReSort to a mouse breast cancer model highlights macrophages M0 and M2 enrichment in the epithelial clone, revealing insights into epithelial-mesenchymal transition and immune infiltration.

Availability and implementation: Source codes …

Recurrent Carotid Paragangliomas In A Syndromic Patient With A Heterozygous Missense Variant In Dna Methyltransferase 3 Alpha, Ryan J German, Blake Vuocolo, Liesbeth Vossaert, Lisa Saba, Robin Fletcher, Matthew L Tedder, Bekim Sadikovic, Jennifer Kerkhof, Michael Wangler, Carlos A Bacino

Duncan NRI Faculty and Staff Publications

We report a 40-year-old African American female with a novel variant in exon 8 of DNA methyltransferase 3 alpha (DNMT3A), (NM_022552.4: c.905G>C, p.G302A) who presented with a history of recurrent carotid paragangliomas, mediastinal mass, intellectual disability, dysarthria, cholelithiasis, diabetes mellitus, hypertension, and dysmorphic features. We interpret this novel variant as likely pathogenic and causative for the patient's syndromic features of Heyn-Sproul-Jackson syndrome. Heyn-Sproul-Jackson syndrome is a condition caused by gain-of-function genetic changes in DNMT3A. Paragangliomas have also been observed in non-syndromic patients with genetic alterations in DNMT3A. We describe a patient with clinical features of Heyn-Sproul-Jackson syndrome such as …

A Hybrid Cloud Data Lake Architecture Supporting The Integration Of Clinical And Genomics Data, Apollo Mcowiti, Heidi Dowst, Fei Zheng, Susan Hilsenbeck, Christopher Amos

Center for Medical Ethics and Health Policy Staff Publications

Objective: Cancer centers must quickly integrate clinical genomics data from different vendors for oncology operations and research. Clinical data warehouse architectures are costly to construct and brittle, and they are not readily amenable to the rapid changes in oncology research. We introduce a cost-effective hybrid cloud Data Lake architecture for storing clinical genomic data from different vendors, aiding both clinical and research workflows.

Methods: We created a Data Lake architecture based on the zone architecture, with four layers: ingestion, storage, transformation, and interaction. The layers are implemented with a hybrid cloud architecture. Rich metadata created from patient and genomic data …

Methadone For Critically Ill Patients Under Mechanical Ventilation In The Intensive Care Unit: A Systematic Review, Sérgio Martins Pereira, Megan Abbott, João Francisco Figueiredo Marcondes Ferraz, Akash Goel, Andrea Rigamonti, Charmaine De Castro, Lisa Burry, Airton Leonardo De Oliveira Manoel, Michael Chaim Sklar

Center for Medical Ethics and Health Policy Staff Publications

Purpose: Pain may pose significant challenges in the intensive care unit, especially in mechanically ventilated patients. Methadone has recently emerged as an alternative option for eliciting acute analgesia. In this systematic review, we evaluated the use of methadone in mechanically ventilated patients in the intensive care unit.

Source: We searched MEDLINE, EMBASE, Wiley's Cochrane Library, CINAHL, PubMed (non-MEDLINE), Scopus, and LILACS databases from inception to January 24th, 2025. Eligible studies included randomized controlled trials and observational studies that compared the use of methadone to the standard of care or to other analgosedation strategies in mechanically ventilated patients in the intensive …

Patient-Centric Federated Learning: Automating Meaningful Consent To Health Data Sharing With Smart Contracts, Kristin M Kostick-Quenet, Marcelo Corrales Compagnucci, Mateo Aboy, Timo Minssen

Center for Medical Ethics and Health Policy Staff Publications

Federated Learning (FL) promises to enhance data-driven health research by enabling collaborative machine learning across distributed datasets without direct data exchange. However, current FL implementations primarily reflect the data-sharing interests of institutional controllers rather than those of individual patients whose data are at stake. Existing consent mechanisms-like broad consent under HIPAA or explicit consent under the GDPR-fail to provide patients with control over how their data is used. This article explores the integration of smart contracts (SCs) into FL as a mechanism for automating, enforcing, and documenting consent in data transactions. SCs, encoded in decentralized ledger technologies, can ensure that …