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Optimized Methods To Quantify Tumor Treating Fields (Ttfields)-Induced Permeabilization Of Glioblastoma Cell Membranes, Melisa Martinez-Paniagua, Sabbir Khan, Nikita W Henning, Sri Vaishnavi Konagalla, Chirag B Patel

Faculty, Staff and Student Publications

Glioblastoma (GBM) is a lethal primary brain cancer with a 5.6% five-year survival rate. Tumor treating fields (TTFields) are alternating low-intensity electric fields that have demonstrated a GBM patient survival benefit. We previously reported that 0.5-24 h of TTFields exposure resulted in an increased uptake of FITC-dextran fluorescent probes (4-20 kDa) in human GBM cells. However, this approach, in which a fluorescence plate-based detector is used to evaluate cells attached to glass coverslips, cannot distinguish FITC-dextran uptake in live vs. dead cells. The goal of the study was to report the optimization and validation of two independent methods to quantify …

Real-Time Cbct Imaging And Motion Tracking Via A Single Arbitrarily-Angled X-Ray Projection By A Joint Dynamic Reconstruction And Motion Estimation (Dreme) Framework, Hua-Chieh Shao, Tielige Mengke, Tinsu Pan, You Zhang

Faculty, Staff and Student Publications

Objective: Real-time cone-beam computed tomography (CBCT) provides instantaneous visualization of patient anatomy for image guidance, motion tracking, and online treatment adaptation in radiotherapy. While many real-time imaging and motion tracking methods leveraged patient-specific prior information to alleviate under-sampling challenges and meet the temporal constraint (< 500 ms), the prior information can be outdated and introduce biases, thus compromising the imaging and motion tracking accuracy. To address this challenge, we developed a framework dynamic reconstruction and motion estimation (DREME) for real-time CBCT imaging and motion estimation, without relying on patient-specific prior knowledge.

Approach: DREME incorporates a deep learning-based real-time CBCT imaging and motion estimation method into a dynamic CBCT reconstruction framework. The reconstruction framework reconstructs a dynamic sequence of CBCTs in a data-driven manner from a standard pre-treatment scan, without requiring patient-specific prior knowledge. Meanwhile, a convolutional neural network-based motion encoder is jointly trained during the reconstruction …

The Association Between Thyroid Differentiation Score And Survival Outcomes In Papillary Thyroid Carcinoma, Jennifer R Wang, Mark E Zafereo, Maria E Cabanillas, Chia Chin Wu, Li Xu, Yaoyi Dai, Wenyi Wang, Stephen Y Lai, Ying Henderson, Lauren Erasmus, Michelle D Williams, Corinne Joshu, Debashree Ray

Faculty, Staff and Student Publications

Context: Thyroid differentiation score (TDS), calculated based on mRNA expression levels of 16 genes controlling thyroid metabolism and function, has been proposed as a measure to quantify differentiation in papillary thyroid carcinoma (PTC).

Objective: The objective of this study is to determine whether TDS is associated with survival outcomes across patient cohorts.

Methods: Two independent cohorts of patients with PTC were used: (1) The Cancer Genome Atlas (TCGA) thyroid cancer study (N = 372), (2) MD Anderson Cancer Center (MDACC) cohort (N = 111). The primary survival outcome of interest was progression-free interval (PFI). Association with overall survival (OS) was …

A Novel Case Of Glial Transdifferentiation In Renal Medullary Carcinoma Brain Metastasis, Maria A Gubbiotti, Ian E Mccutcheon, Priya Rao, Giannicola Genovese, Linghua Wang, Artem Tarasov, Vladislav Putintsev, Amber Berlinski, Danil Stupichev, Kirill Kriukov, Suren Davitavyan, Basim Salem, Alexander Sarachakov, Dmitry Lebedev, Michael Hensley, Alexander Bagaev, Francesca Paradiso, Vladimir Kushnarev, Gleb Khegai, Nizar M Tannir, Pavlos Msaouel

Faculty, Staff and Student Publications

Renal medullary carcinoma is a rare undifferentiated tumor of the kidney associated with sickle cell trait and characterized by INI1 (SMARCB1) loss. Although metastasis to lungs, lymph nodes, and bone is commonly reported, distant spread to the central nervous system almost never occurs. Here we present an unusual case of a patient with renal medullary carcinoma with metastasis to the brain following treatment which included tazemetostat, an EZH2 inhibitor. The metastatic brain lesion harbored morphologic, immunohistochemical, and methylation profile supportive of a primary CNS phenotype with loss of the trimethylated lysine 27 residue of histone 3 while maintaining INI1 loss …

The Clinical Utility Of A Next-Generation Sequencing-Based Approach To Detecting Circulating Hpv Dna In Patients With Advanced Anal Cancer, Deepak Bhamidipati, Jay R Johnson, Kangyu Lin, Helene Pelicano, Cathy Eng, Ryan Huey, Robert A Wolff, Daniel M Halperin, Michael F Frumovitz, Ignacio I Wistuba, Dzifa Y Duose, Saradhi Mallampati, Rajyalakshmi Luthra, Van K Morris

Faculty, Staff and Student Publications

Background: To extend the practicality of liquid biopsy beyond the historical HPV circulating tumor DNA (ctDNA) assays, we evaluated the clinical relevance of a novel next-generation sequencing HPV ctDNA assay in patients with locally advanced and metastatic squamous cell cancer of the anal canal (mSCCA).

Methods: ctDNA isolated from the plasma of patients with mSCCA was sequenced using a 1.4 Mb hybrid-capture target-enrichment panel covering the whole genome sequences of all 193 HPV types. The HPV type, copy number (CN), and integration sites were determined using a bioinformatic pipeline.

Results: A total of 77 plasma samples from 28 patients with …

Pooled Safety Analysis And Management Of Sotorasib-Related Adverse Events In Kras G12c-Mutated Advanced Non-Small Cell Lung Cancer, Ferdinandos Skoulidis, Bob T Li, Maximilian Hochmair, Ramaswamy Govindan, Mark Vincent, Anthonie J Van Der Wekken, Noemi Reguart Aransay, Kenneth J O'Byrne, Nicolas Girard, Frank Griesinger, Makoto Nishio, Simon Häfliger, Colin Lindsay, Niels Reinmuth, Astrid Paulus, Pavlos Papakotoulas, Sang-We Kim, Carlos Gil Ferreira, Giulia Pasello, Michael Duruisseaux, Spyridon Gennatas, Anastasios Dimou, Bhakti Mehta, William Kormany, Chidozie Nduka, Brooke E Sylvester, Christine Ardito-Abraham, Yang Wang, Adrianus Johannes De Langen

Faculty, Staff and Student Publications

Introduction: We describe the safety of sotorasib monotherapy in patients with KRAS G12C-mutated advanced non-small cell lung cancer (NSCLC) and discuss practical recommendations for managing key risks.

Methods: Incidence rates of treatment-related adverse events (TRAEs) were pooled from 4 clinical trials: CodeBreaK 100 (NCT03600883), CodeBreaK 101 (NCT04185883), CodeBreaK 105 (NCT04380753), and CodeBreaK 200 (NCT04303780) and graded according to CTCAE v5.0. Adverse events were deemed sotorasib-related per investigator causality assessment.

Results: In the pooled population (n = 549), TRAEs were reported in 388 (70.7%) patients (grade 1: 124 [22.6%]; grade 2: 117 [21.3%]; …

Utilizing Patient-Derived Xenografts To Model Precision Oncology For Biliary Tract Cancer, Timothy P Diperi, Kurt W Evans, Stephen Scott, Xiaofeng Zheng, Kaushik Varadarajan, Lawrence N Kwong, Michael Kahle, Hop S Tran Cao, Ching-Wei Tzeng, Thuy Vu, Sunhee Kim, Fei Su, Maria Gabriela Raso, Yasmeen Rizvi, Ming Zhao, Huamin Wang, Sunyoung S Lee, Timothy A Yap, Jordi Rodon, Milind Javle, Funda Meric-Bernstam

Faculty, Staff and Student Publications

Purpose: Biliary tract cancers, which are rare and aggressive malignancies, are rich in clinically actionable molecular alterations. A major challenge in the field is the paucity of clinically relevant biliary tract cancer models that recapitulate the diverse molecular profiles of these tumors. The purpose of this study was to curate a collection of patient-derived xenograft (PDX) models that reflect the spectrum of genomic alterations present in biliary tract cancers to create a resource for modeling precision oncology.

Experimental design: PDXs were derived from biliary tract cancer samples collected from surgical resections or metastatic biopsies. Alterations present in the PDXs were …

Light-Dark Shift Promotes Colon Carcinogenesis Through Accelerated Colon Aging, Deepak Sharma, Phillip A Engen, Abu Osman, Darbaz Adnan, Maliha Shaikh, Mostafa K Abdel-Reheem, Ankur Naqib, Stefan J Green, Bruce Hamaker, Christopher B Forsyth, Lin Cheng, Ali Keshavarzian, Khashayarsha Khazaie, Faraz Bishehsari

Faculty, Staff and Student Publications

Colorectal cancer (CRC) is the third most common cancer worldwide, with rising prevalence among younger adults. Several lifestyle factors, particularly disruptions in circadian rhythms by light-dark (LD) shifts, are known to increase CRC risk. Epidemiological studies previously showed LD-shifts are associated with increased risk of CRC. To explore the mechanisms and interactions between LD-shift and intestinal aging, we investigated how the combination of LD-shifts and aging impacts colon carcinogenesis development. Our data showed that LD-shifts and aging increased colon tumorigenesis. Notably, LD-shift accelerated intestinal aging by altering aging-related pathways, such as intestinal barrier damage, accompanied by dysbiotic changes in the …

Targeting Trpc Channels For Control Of Arthritis-Induced Bone Erosion, Suravi Ray, Jamie L Mccall, Jin Bin Tian, Jaepyo Jeon, Aidan Douglas, Kendall Tyler, Siyao Liu, Kendyl Berry, Brady Nicewarner, Casey Hall, Klaus Groschner, Bernadett Bacsa, Werner Geldenhuys, Michael X Zhu, Harry C Blair, John B Barnett, Jonathan Soboloff

Faculty, Staff and Student Publications

Arthritis leads to bone erosion due to an imbalance between osteoclast and osteoblast function. Our prior investigations revealed that the Ca2+-selective ion channel, Orai1, is critical for osteoclast maturation. Here, we show that the small-molecule ELP-004 preferentially inhibits transient receptor potential canonical (TRPC) channels. While ELP-004 minimally affected physiological RANKL-induced osteoclast maturation in murine bone marrow- and spleen-derived myeloid cells (BMSMCs) and human PBMC-derived cells, it potently interfered with osteoclast maturation driven by TNFα or LTB4. The contribution of TRPC channels to osteoclastogenesis was examined using BMSMCs derived from TRPC4-/- or TRPC(1-7)-/- mice, again revealing preferential interference with osteoclastogenesis driven …

Phase I Study Of Bms-986299, An Nlrp3 Agonist, As Monotherapy And In Combination With Nivolumab And Ipilimumab In Patients With Advanced Solid Tumors, Blessie E Nelson, Shaun O'Brien, Rahul A Sheth, David S Hong, Aung Naing, Xiaoping Zhang, Amy Xu, Lora Hamuro, Rasika Suryawanshi, Derrick Mckinley, Ruslan D Novosiadly, Sarina A Piha-Paul

Faculty, Staff and Student Publications

Purpose: BMS-986299 is a first-in-class, NOD-, LRR-, and pyrin-domain containing-3 (NLRP3) inflammasome agonist enhancing adaptive immune and T-cell memory responses.

Materials and methods: This was a phase-I (NCT03444753) study that assessed the safety and tolerability of intra-tumoral BMS-986299 monotherapy (part 1A) and in combination (part 1B) with nivolumab, and ipilimumab in advanced solid tumors. Reported here are single-center results.

Results: 36 patients were enrolled, with breast (31%), colorectal (17%), and head and neck (14%) being the more commonly enrolled cancers. Most patients (58%) had received prior immunotherapy. Therapy was well-tolerated, with G1-G2 fever (70%), neutrophilia (36%), and leukocytosis …

Electrostatic Force-Enabled Microneedle Patches That Exploit Photoredox Catalysis For Transdermal Phototherapy, Hang Zhang, Wen-Chuan Xie, Yuhang Yao, Zi-Yi Tang, Wen-Xiu Ni, Bingwu Wang, Song Gao, Jonathan L Sessler, Jun-Long Zhang

Faculty, Staff and Student Publications

Microneedle patches for topical administration of photodynamic therapy (PDT) sensitizers are attractive owing to their safety, selectivity, and noninvasiveness. However, low-efficiency photosensitizer delivery coupled with the limitations of the hypoxic tumor microenvironment remains challenging. To overcome these issues, we developed an effective microneedle patch based on intermolecular electrostatic interactions within a photosensitizer matrix containing a zinc-containing porphyrin analogue, ZnBP (w). This design improved the mechanical strength of the microneedle patch and enhanced the photosensitizer loading efficiency in aqueous environments. A key feature of the system is efficient electron transfer between ZnBP (w) and NADH upon photoirradiation. Electrostatic interactions between ZnBP …

Spatial Distribution Of Tumor Cells In Clear Cell Renal Cell Carcinoma Is Associated With Metastasis And A Matrisome Gene Expression Signature, Prahlad Bhat, Pheroze Tamboli, Kanishka Sircar, Kasthuri Kannan

Faculty, Staff and Student Publications

Background/Objectives: Predicting the behavior of clear cell renal cell carcinoma (ccRCC) is challenging using standard-of-care histopathologic examination. Indeed, pathologic RCC tumor grading, based on nuclear morphology, performs poorly in predicting outcomes of patients with International Society of Urological Pathology/World Health Organization grade 2 and 3 tumors, which account for most ccRCCs.

Methods: We applied spatial point process modeling of H&E-stained images of patients with grade 2 and grade 3 ccRCCs (n = 72) to find optimum separation into two groups.

Results: One group was associated with greater spatial randomness and clinical metastasis (p < 0.01). Notably, spatial analysis outperformed standard pathologic grading in predicting clinical metastasis. Moreover, cell-to-cell interaction distances in the metastasis-associated group were significantly greater than those in the other patient group and were also greater than expected by the random distribution of cells. Differential gene expression between the two spatially defined groups of patients revealed a matrisome signature, consistent with the extracellular matrix's crucial role in tumor invasion. The top differentially expressed genes (with a fold change > 3) stratified a larger, multi-institutional …

Zongertinib (Bi 1810631), An Irreversible Her2 Tki, Spares Egfr Signaling And Improves Therapeutic Response In Preclinical Models And Patients With Her2-Driven Cancers, Birgit Wilding, Lydia Woelflingseder, Anke Baum, Krzysztof Chylinski, Gintautas Vainorius, Neil Gibson, Irene C Waizenegger, Daniel Gerlach, Martin Augsten, Fiona Spreitzer, Yukina Shirai, Masachika Ikegami, Sylvia Tilandyová, Dirk Scharn, Mark A Pearson, Johannes Popow, Anna C Obenauf, Noboru Yamamoto, Shunsuke Kondo, Frans L Opdam, Annemarie Bruining, Shinji Kohsaka, Norbert Kraut, John V Heymach, Flavio Solca, Ralph A Neumüller

Faculty, Staff and Student Publications

Mutations in ERBB2 (encoding HER2) occur in 2% to 4% of non-small cell lung cancer (NSCLC) and confer poor prognosis. ERBB-targeting tyrosine kinase inhibitors, approved for treating other HER2-dependent cancers, are ineffective in HER2-mutant NSCLC due to dose-limiting toxicities or suboptimal potency. We report the discovery of zongertinib (BI 1810631), a covalent HER2 inhibitor. Zongertinib potently and selectively blocks HER2, while sparing EGFR, and inhibits the growth of cells dependent on HER2 oncogenic driver events, including HER2-dependent human cancer cells resistant to trastuzumab deruxtecan. Zongertinib displays potent antitumor activity in HER2-dependent human NSCLC xenograft models and enhances the activities of …

Pembrolizumab Plus Chemotherapy In Frontline Treatment Of Advanced Ovarian Cancer: Clinical And Translational Results From A Phase 2 Trial, Jeffrey A How, Minghao Dang, Sanghoon Lee, Bryan Fellman, Shannon N Westin, Anil K Sood, Nicole D Fleming, Aaron Shafer, Ying Yuan, Jinsong Liu, Li Zhao, Joseph Celestino, Richard Hajek, Margaret B Morgan, Edwin R Parra, Caddie D Laberiano Fernandez, Claudio A Arrechedera, Luisa Maren Solis Soto, Kathleen M Schmeler, Alpa Nick, Karen H Lu, Robert Coleman, Linghua Wang, Amir A Jazaeri

Faculty, Staff and Student Publications

Background: The efficacy and feasibility of pembrolizumab combined with chemotherapy in frontline management of advanced high-grade epithelial ovarian cancer (EOC) is unknown. Additionally, modification of the tumor microenvironment following neoadjuvant therapy is not well understood.

Methods: In this single-arm phase 2 trial (this study was registered at ClinicalTrials.gov: NCT02520154), eligible patients received up to 4 cycles of neoadjuvant chemotherapy followed by interval cytoreduction, 3 cycles of adjuvant intravenous carboplatin/weekly paclitaxel/pembrolizumab, and finally maintenance pembrolizumab until progression or toxicity (maximum 20 cycles). The primary endpoint was progression-free survival (PFS). Secondary endpoints included feasibility, toxicity, and overall survival (OS). PD-L1 staining, …

Sitravatinib In Combination With Nivolumab Plus Ipilimumab In Patients With Advanced Clear Cell Renal Cell Carcinoma: A Phase 1 Trial, Pavlos Msaouel, Kai Yu, Ying Yuan, Jianfeng Chen, Xinmiao Yan, Menuka Karki, Fei Duan, Rahul A Sheth, Priya Rao, Kanishka Sircar, Amishi Y Shah, Amado J Zurita, Giannicola Genovese, Min Li, Chih-Chen Yeh, Minghao Dang, Guangchun Han, Yanshuo Chu, Max Hallin, Peter Olson, Rui Yang, Daniela Slavin, Hirak Der-Torossian, Curtis D Chin, Nizar M Tannir, Linghua Wang, Jianjun Gao

Faculty, Staff and Student Publications

We conducted a phase I trial to determine the optimal dose of triplet therapy with the tyrosine kinase inhibitor sitravatinib plus nivolumab plus ipilimumab in 22 previously untreated patients with advanced clear cell renal cell carcinoma. The primary endpoint was safety. Secondary endpoints were objective response rate (ORR), disease control rate (DCR), duration of response (DOR), progression-free survival (PFS), overall survival (OS), 1-year survival probability, and sitravatinib pharmacokinetics. Sitravatinib dose of 35 mg daily plus nivolumab 3 mg/kg and ipilimumab 1 mg/kg resulted in high frequency of immune-related adverse events. Subsequent dose reduction of ipilimumab to 0.7 mg/kg allowed safe …

Genome-Wide Association Study Reveals Shared And Distinct Genetic Architecture Of Fatty Acids And Oxylipins In The Hispanic Community Health Study/Study Of Latinos, Carolina G Downie, Heather M Highland, Mona Alotaibi, Barrett M Welch, Annie Green Howard, Susan Cheng, Nick Miller, Mohit Jain, Robert C Kaplan, Adam G Lilly, Tao Long, Tamar Sofer, Bharat Thyagarajan, Bing Yu, Kari E North, Christy L Avery

Faculty, Staff and Student Publications

Bioactive fatty acid-derived oxylipin molecules play key roles mediating inflammation and oxidative stress. Circulating levels of fatty acids and oxylipins are influenced by environmental and genetic factors; characterizing the genetic architecture of bioactive lipids could yield new insights into underlying biology. We performed a genome-wide association study (GWAS) of 81 fatty acids and oxylipins in 11,584 Hispanic Community Health Study/Study of Latinos (HCHS/SOL) participants with genetic and lipidomic data measured at study baseline (58.6% female, mean age = 46.1 years (standard deviation 13.8)). Additionally, given the effects of central obesity on inflammation, we examined interactions with waist circumference using two-degree-of-freedom …

Society For Immunotherapy Of Cancer: Updates And Best Practices For Multiplex Immunohistochemistry (Ihc) And Immunofluorescence (If) Image Analysis And Data Sharing, Janis M Taube, Joel C Sunshine, Michael Angelo, Guray Akturk, Margaret Eminizer, Logan L Engle, Cláudia S Ferreira, Sacha Gnjatic, Benjamin Green, Shirley Greenbaum, Noah F Greenwald, Cyrus V Hedvat, Travis J Hollmann, Daniel Jiménez-Sánchez, Konstanty Korski, Ana Lako, Edwin R Parra, Marlon C Rebelatto, David L Rimm, Scott J Rodig, Jamie Rodriguez-Canales, Jeffrey S Roskes, Kurt A Schalper, Emanuel Schenck, Keith E Steele, Michael J Surace, Alexander S Szalay, Michael T Tetzlaff, Ignacio I Wistuba, Jennifer H Yearley, Carlo B Bifulco

Faculty, Staff and Student Publications

Objectives: Multiplex immunohistochemistry and immunofluorescence (mIHC/IF) are emerging technologies that can be used to help define complex immunophenotypes in tissue, quantify immune cell subsets, and assess the spatial arrangement of marker expression. mIHC/IF assays require concerted efforts to optimize and validate the multiplex staining protocols prior to their application on slides. The best practice guidelines for staining and validation of mIHC/IF assays across platforms were previously published by this task force. The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.

Methods: The Society for Immunotherapy of Cancer convened a task …

Genetic Variations In Mdm2 Gene Contribute To Renal Cell Carcinoma Susceptibility: A Genotype–Phenotype Correlation Study, Shu-Yu Chang, Wen-Shin Chang, Hou-Yu Shih, Chao-Hsiang Chang, Hsi-Chin Wu, Chia-Wen Tsai, Yun-Chi Wang, Jian Gu, Da-Tian Bau

Faculty, Staff and Student Publications

Background: This study aimed to investigate the polymorphic genotypes of MDM2 rs937282, rs937283, rs2279744, and rs769412, as well as the combined effects of MDM2 genotypes and environmental factors on RCC susceptibility.

Methods: A total of 135 RCC patients and 590 controls were recruited for MDM2 genotyping using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Quantitative PCR was performed to assess MDM2 mRNA levels among 30 healthy individuals and 22 RCC patients.

Results: MDM2 rs2279744, but not other polymorphisms, was significantly associated with an increased RCC risk (p = 0.0133). The MDM2 rs2279744 G allele was identified as …

Evaluating The Effects Of High-Throughput Structural Neuroimaging Predictors On Whole-Brain Functional Connectome Outcomes Via Network-Based Matrix-On-Vector Regression, Tong Lu, Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong, Shuo Chen

Faculty, Staff and Student Publications

The joint analysis of multimodal neuroimaging data is vital in brain research, revealing complex interactions between brain structures and functions. Our study is motivated by the analysis of a vast dataset of brain functional connectivity (FC) and multimodal structural imaging (SI) features from the UK Biobank. Specifically, we aim to investigate the effects of SI features, such as white matter microstructure integrity (WMMI) and cortical thickness, on the whole-brain functional connectome network. This analysis is inherently challenging due to the extensive structural-functional associations and the intricate network patterns present in multimodal high-dimensional neuroimaging data. To bridge methodological gaps, we developed …

Development Of Sacb-Based Counterselection For Efficient Allelic Exchange In Fusobacterium Nucleatum, Peng Zhou, Bibek G C, Bo Hu, Chenggang Wu

Faculty, Staff and Student Publications

Fusobacterium nucleatum, prevalent in the oral cavity, is significantly linked to overall human health. Our molecular comprehension of its role in oral biofilm formation and its interactions with the host under various pathological circumstances has seen considerable advancements in recent years, primarily due to the development of various genetic tools for DNA manipulation in this bacterium. Of these, counterselection-based unmarked in-frame mutation methods have proved notably effective. Under suitable growth conditions, cells carrying a counterselectable gene die, enabling efficient selection of rare, defined allelic exchange mutants. The sacB gene from Bacillus subtilis, encoding levansucrase, is a widely used …

Crisprofft: Comprehensive Database Of Crispr/Cas Off-Targets, Grant Wang, Xiaona Liu, Aoqi Wang, Jianguo Wen, Pora Kim, Qianqian Song, Xiaona Liu, Xiaobo Zhou

Faculty, Staff and Student Publications

The CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated protein) programmable nuclease system continues to evolve, with in vivo therapeutic gene editing increasingly applied in clinical settings. However, off-target effects remain a significant challenge, hindering its broader clinical application. To enhance the development of gene-editing therapies and the accuracy of prediction algorithms, we developed CRISPRoffT (https://ccsm.uth.edu/CRISPRoffT/). Users can access a comprehensive repository of off-target regions predicted and validated by a diverse range of technologies across various cell lines, Cas enzyme variants, engineered sgRNAs (single guide RNAs) and CRISPR editing systems. CRISPRoffT integrates results of off-target analysis from 74 studies, encompassing …

Intrinsic Adaptive Plasticity In Mouse And Human Sensory Neurons, Lisa A Mcilvried, John Smith Del Rosario, Melanie Y Pullen, Andi Wangzhou, Tayler D Sheahan, Andrew J Shepherd, Richard A Slivicki, John A Lemen, Theodore J Price, Bryan A Copits, Robert W Gereau

Faculty, Staff and Student Publications

In response to changes in activity induced by environmental cues, neurons in the central nervous system undergo homeostatic plasticity to sustain overall network function during abrupt changes in synaptic strengths. Homeostatic plasticity involves changes in synaptic scaling and regulation of intrinsic excitability. Increases in spontaneous firing and excitability of sensory neurons are evident in some forms of chronic pain in animal models and human patients. However, whether mechanisms of homeostatic plasticity are engaged in sensory neurons of the peripheral nervous system (PNS) is unknown. Here, we show that sustained depolarization (induced by 24-h incubation in 30 mM KCl) induces compensatory …

Covid-19 Vaccine Hesitancy Among Black Women In The Us, Brittany C Slatton, Farrah G Cambrice, Serwaa S Omowale

Faculty, Staff and Student Publications

IMPORTANCE: COVID-19 vaccine hesitancy among Black women is a critical public health concern, potentially exacerbating existing health disparities and impacting community-wide vaccination efforts.

OBJECTIVE: To explore the factors associated with COVID-19 vaccine hesitancy among Black women in the US and identify the specific concerns and experiences shaping hesitant attitudes toward vaccination.

DESIGN, SETTING, AND PARTICIPANTS: Qualitative study using in-depth, semistructured interviews conducted virtually between June and November 2021. Thematic analysis was used to identify key themes from the interview data. Participants were recruited through social media platforms and word-of-mouth referrals from various regions of the US. Interviews were conducted remotely …

Optimizing Electrode Configurations For Eeg Mild Cognitive Impairment Detection, Yi Jiang, Xin Zhang, Zhiwei Guo, Xiaobo Zhou, Jiayuan He, Ning Jiang

Faculty, Staff and Student Publications

The Optimal electrode configuration of Electroencephalograms (EEG) systems for mild cognitive impairment (MCI) detection and monitoring in non-clinical settings, i.e. number of electrodes and the positions of the electrodes, remains to be explored. In the current study, we explored the optimization of electrode configuration for MCI detection. We used a 32-channel EEG device to record the data of 21 MCI patients and 20 cognitively normal elderly (NC) undergoing working memory (WM) tasks. Based on the differential value (MCI group vs. NC group) from the Power Spectral Density (PSD) value of each electrode in θ and α frequency band during WM …

Adverse Prehospital Events And Outcomes After Traumatic Brain Injury, Amelia W Maiga, Hsing-Hua Sylvia Lin, Stephen R Wisniewski, Joshua B Brown, Ernest E Moore, Martin A Schreiber, Bellal Joseph, Chad T Wilson, Bryan A Cotton, Daniel G Ostermayer, Brian G Harbrecht, Mayur B Patel, Jason L Sperry, Francis X Guyette, Henry E Wang

Faculty, Staff and Student Publications

Importance: While national guidelines recommend avoidance of hypoxia, hypotension, and hypocarbia in the prehospital care of traumatic brain injury (TBI), limited data validate the association of these adverse physiologic events with TBI outcomes.

Objective: To validate the associations of prehospital hypoxia, hypotension, and hypocarbia with TBI outcomes in a US national trauma network.

Design, setting, and participants: This cohort study examined data from 8 level I trauma centers and their affiliated ground and air emergency medical services (EMS) agencies in the Linking Investigations in Trauma and Emergency Services (LITES) Network from January 1, 2017, to June 30, 2021. Adult patients …

Correction: Roles Of Specialized Pro-Resolving Mediators And Omega-3 Polyunsaturated Fatty Acids In Periodontal Inflammation And Impact On Oral Microbiota, Chun-Teh Lee, Gena D Tribble

Faculty, Staff and Student Publications

This corrects the article "Roles of specialized pro-resolving mediators and omega-3 polyunsaturated fatty acids in periodontal inflammation and impact on oral microbiota" in volume 4, 1217088.

Heritability And Shared Environmental Effects Of Brain Diseases In 12,040 Extended Families, Janna I R Dijkstra, Marc Hulsman, Lisa Waterink, Henne Holstege, Charlotte E Teunissen, Wouter F L Christiaansen, Bryan A De Jong, Peter Kochunov, Brian Donohue, Marissa D Zwan, Anouk Den Braber, Lisa Vermunt, Sven J Van Der Lee

Faculty, Staff and Student Publications

Brain diseases have complex patterns of genetic and environmental risk factors, and better understanding of these risks is required for more effective prevention strategies. Participants of the Dutch Brain Research Registry provided detailed information on family structure and occurrence of brain diseases. A total of 12,040 participants (73% female, aged 64.9 ± 11 years) provided information on 101,379 family members (53% female, aged 62 ± 25 years). We estimated heritability (h2) of the nine most common brain diseases using polygenic modeling in SOLAR and assessed variations in h2 through bootstrapping; Alzheimer’s disease (AD) (h2 = …

Leveraging Gpt-4o For Automated Extraction Of Neural Projections From Scientific Literature, Rashmie Abeysinghe, Gorbachev Jowah, Licong Cui, Samden D Lhatoo, Guo-Qiang Zhang

Faculty, Staff and Student Publications

Sudden Unexpected Death in Epilepsy (SUDEP) is a major cause of death for epilepsy patients having uncontrolled seizures. Understanding the complex neural circuits within the central nervous system is crucial for understanding the mechanisms underlying cardiorespiratory regulation, particularly in the context of SUDEP. This study explores the potential of GPT-4o, a cutting-edge language model, to automate the extraction of neural projections from scientific literature. We developed prompts to extract neuroscientific structures, extract projections, and perform synonym harmonization. Applying the approach to four neuroscientific articles, the method extracted 205 projections. A random sample of 100 projections identified was handed over to …

Gene Expression Changes In Human Cerebral Arteries Following Hemoglobin Exposure: Implications For Vascular Responses In Sah, Chathathayil M Shafeeque, Arif O Harmanci, Sithara Thomas, Ari C Dienel, Devin W Mcbride, Kumar T Peeyush, Spiros L Blackburn

Faculty, Staff and Student Publications

Subarachnoid hemorrhage (SAH), characterized by the presence of hemoglobin (Hb) in the subarachnoid space, significantly impacts cerebral vessels, leading to various pathological outcomes. The toxicity of cell-free Hb released from erythrocytes and its metabolites after SAH causes vasoconstriction and neuronal damage, and correlates with delayed ischemic neurological deficits (DIND). While animal models have provided substantial and invaluable data in the research of aneurysmal SAH, the specific effects of subarachnoid blood on cerebral arteries remain greatly understudied. Here, we describe the changes in the genetic profile of human cerebral arteries exposed to free Hb for 48 h. We performed an ex …

A Bayesian Deep Segmentation Framework For Glioblastoma Tumor Segmentation Using Follow-Up Mris, Tanjida Kabir, Kang-Lin Hsieh, Luis Nunez, Yu-Chun Hsu, Juan C Rodriguez Quintero, Octavio Arevalo, Kangyi Zhao, Jay-Jiguang Zhu, Roy F Riascos, Mahboubeh Madadi, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

Background: Glioblastoma (GBM) is the most common malignant brain tumor with an abysmal prognosis. Since complete tumor cell removal is impossible due to the infiltrative nature of GBM, accurate measurement is paramount for GBM assessment. Preoperative magnetic resonance images (MRIs) are crucial for initial diagnosis and surgical planning, while follow-up MRIs are vital for evaluating treatment response. The structural changes in the brain caused by surgical and therapeutic measures create significant differences between preoperative and follow-up MRIs. In clinical research, advanced deep learning models trained on preoperative MRIs are often applied to assess follow-up scans, but their effectiveness in this …