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Articles 421 - 450 of 2632
Full-Text Articles in Biomedical Informatics
Fabrication And Evaluation Of Multicomponent Biomimetic Scaffolds For Bone Tissue Engineering, Mozan Osman Hassan
Fabrication And Evaluation Of Multicomponent Biomimetic Scaffolds For Bone Tissue Engineering, Mozan Osman Hassan
Dissertations
Bones have an inherent ability to remodel, but critical-size defects can hinder regeneration, leading to delayed healing or non-union fractures. Traditional bone grafts have limitations, such as donor site morbidity and immune rejection, driving the need for synthetic bone substitutes. Bone tissue engineering (BTE) addresses this by developing biomimetic scaffolds that replicate bone properties. This research aimed to fabricate composite scaffolds from strontium (Sr) and zinc (Zn) doped nano-hydroxyapatite (nHAp), collagen, and poly(lactide-co-glycolide) (PLGA). Different doping percentages of Sr/Zn (1%, 2.5%, 4%) were used to fabricate the scaffolds using supercritical CO2 (ScCO2) and electrospinning techniques. Scaffolds were then analyzed for …
Lps-Induced Whole-Blood Cytokine Production And Depressive Symptoms In Dementia Spousal Caregivers: The Moderating Effect Of Childhood Trauma, Daniel L Argueta, Kelly N Brice, E Lydia Wu-Chung, Michelle A Chen, Vincent D Lai, Jensine Paoletti-Hatcher, Bryan T Denny, Charles Green, Luis D Medina, Paul Schulz, Jennifer Stinson, Cobi Heijnen, Christopher P Fagundes
Lps-Induced Whole-Blood Cytokine Production And Depressive Symptoms In Dementia Spousal Caregivers: The Moderating Effect Of Childhood Trauma, Daniel L Argueta, Kelly N Brice, E Lydia Wu-Chung, Michelle A Chen, Vincent D Lai, Jensine Paoletti-Hatcher, Bryan T Denny, Charles Green, Luis D Medina, Paul Schulz, Jennifer Stinson, Cobi Heijnen, Christopher P Fagundes
Faculty, Staff and Student Publications
Dementia spousal caregivers are at risk for adverse mental and physical health outcomes. Caregiver burden, anticipatory grief, and proinflammatory cytokine production may contribute to depressive symptoms among caregivers. People who report childhood trauma are more likely to have exaggerated stress responses that may also contribute to depressive symptoms in adulthood. This study aimed to test whether the relationship between whole-blood cytokine production and depressive symptoms is strongest in caregivers who report high levels of childhood trauma.
Methods: A sample of 103 dementia spousal caregivers provided self-report data on demographics, health information, caregiver burden, anticipatory grief, and depressive symptoms. We also …
Development And Clinical Implementation Of A Digital Workflow Utilizing 3d-Printed Oral Stents For Patients With Head And Neck Cancer Receiving Radiotherapy, Rance Tino, Millicent A Roach, Gabriela D Fuentes, Anshuman Agrawal, Mohamed Zaid, Dylan J Cooper, Nimit Bajaj, Ruitao Lin, Lianchun Xiao, Lauren L Mayo, Lee R Wiederhold, Shalin J Shah, Molly K Tate, Gregory M Chronowski, Jay P Reddy, Megan Mezera, Justin M Mann, Mark Augspurger, Adegbenga O Otun, Mark S Chambers, Eugene J Koay
Development And Clinical Implementation Of A Digital Workflow Utilizing 3d-Printed Oral Stents For Patients With Head And Neck Cancer Receiving Radiotherapy, Rance Tino, Millicent A Roach, Gabriela D Fuentes, Anshuman Agrawal, Mohamed Zaid, Dylan J Cooper, Nimit Bajaj, Ruitao Lin, Lianchun Xiao, Lauren L Mayo, Lee R Wiederhold, Shalin J Shah, Molly K Tate, Gregory M Chronowski, Jay P Reddy, Megan Mezera, Justin M Mann, Mark Augspurger, Adegbenga O Otun, Mark S Chambers, Eugene J Koay
Faculty, Staff and Student Publications
Objectives: We describe the development of 3D-printed stents using our digital workflow and their effects on patients enrolled in the lead-in phase of a multi-center, randomized Phase-II trial.
Materials and methods: Digital dental models were created for patients using intraoral scanning. Digital processes were implemented to develop the mouth-opening, tongue-depressing, and tongue-lateralizing stents using stereolithography. Time spent and material 3D-printing costs were measured. Physicians assessed mucositis using the Oral Mucositis Assessment Scale (OMAS) and collected MD Anderson Symptom Inventory (MDASI) reports and adverse events (AEs) from patients at various time points (TPs). OMAS and MDASI results were evaluated using paired …
The Five Homologous Ciar-Controlled Ccn Srnas Of Streptococcus Pneumoniae Modulate Zn-Resistance, Nicholas R De Lay, Nidhi Verma, Dhriti Sinha, Abigail Garrett, Maximillian K Osterberg, Daisy Porter, Spencer Reiling, David P Giedroc, Malcolm E Winkler
The Five Homologous Ciar-Controlled Ccn Srnas Of Streptococcus Pneumoniae Modulate Zn-Resistance, Nicholas R De Lay, Nidhi Verma, Dhriti Sinha, Abigail Garrett, Maximillian K Osterberg, Daisy Porter, Spencer Reiling, David P Giedroc, Malcolm E Winkler
Faculty, Staff and Student Publications
Zinc is a vital transition metal for all bacteria; however, elevated intracellular free Zn levels can result in mis-metalation of Mn-dependent enzymes. For Mn-centric bacteria such as Streptococcus pneumoniae that primarily use Mn instead of Fe as an enzyme cofactor, Zn is particularly toxic at high concentrations. Here, we report our identification and characterization of the function of the five homologous, CiaRH-regulated Ccn sRNAs in controlling S. pneumoniae virulence and metal homeostasis. We show that deletion of all five ccn genes (ccnA, ccnB, ccnC, ccnD, and ccnE) from S. pneumoniae strains D39 (serotype 2) and TIGR4 (serotype 4) causes Zn …
Genomic Biomarkers To Predict Response To Atezolizumab Plus Bevacizumab Immunotherapy In Hepatocellular Carcinoma: Insights From The Imbrave150 Trial, Sun Young Yim, Sung Hwan Lee, Seung-Woo Baek, Bohwa Sohn, Yun Seong Jeong, Sang-Hee Kang, Kena Park, Hyewon Park, Sunyoung S Lee, Ahmed O Kaseb, Young Nyun Park, Sun-Hee Leem, Michael A Curran, Ji Hoon Kim, Ju-Seog Lee
Genomic Biomarkers To Predict Response To Atezolizumab Plus Bevacizumab Immunotherapy In Hepatocellular Carcinoma: Insights From The Imbrave150 Trial, Sun Young Yim, Sung Hwan Lee, Seung-Woo Baek, Bohwa Sohn, Yun Seong Jeong, Sang-Hee Kang, Kena Park, Hyewon Park, Sunyoung S Lee, Ahmed O Kaseb, Young Nyun Park, Sun-Hee Leem, Michael A Curran, Ji Hoon Kim, Ju-Seog Lee
Faculty, Staff and Student Publications
Background/aims: Combination immunotherapy, exemplified by atezolizumab plus bevacizumab, has become the standard of care for inoperable hepatocellular carcinoma (HCC). However, the lack of predictive biomarkers and limited understanding of response mechanisms remain a challenge.
Methods: Using data from the IMbrave150plus cohort, we applied an immune signature score (ISS) predictor to stratify HCC patients treated with atezolizumab plus bevacizumab or with sorafenib alone into potential high and low response groups. By applying multiple statistical approaches including a Bayesian covariate prediction algorithm, we refined the signature to 10 key genes (ISS10) for clinical use while maintaining similar predictive power to the full …
Feasibility Of Quantitative Relaxometry For Prostate Target Localization And Response Assessment In Magnetic Resonance-Guided Online Adaptive Stereotactic Body Radiotherapy, Ergys Subashi, Eve Locastro, Sarah Burleson, Aditya Apte, Michael Zelefsky, Neelam Tyagi
Feasibility Of Quantitative Relaxometry For Prostate Target Localization And Response Assessment In Magnetic Resonance-Guided Online Adaptive Stereotactic Body Radiotherapy, Ergys Subashi, Eve Locastro, Sarah Burleson, Aditya Apte, Michael Zelefsky, Neelam Tyagi
Faculty, Staff and Student Publications
Purpose: Multiparametric magnetic resonance imaging (MRI) is known to provide predictors for malignancy and treatment outcome. The inclusion of these datasets in workflows for online adaptive planning remains under investigation. We demonstrate the feasibility of longitudinal relaxometry in online MR-guided adaptive stereotactic body radiotherapy (SBRT) to the prostate and dominant intra-prostatic lesion (DIL).
Methods: Fifty patients with intermediate-risk prostate cancer were included in the study. The clinical target volume (CTV) was defined as the prostate gland plus 1 cm of seminal vesicles. The gross tumor volume (GTV) was defined as the DIL identified on multiparametric MRI. Online adaptive radiotherapy was …
Small-Molecule Ccr4 Antagonists In Cutaneous T-Cell Lymphoma, José S Enriquez, Xiaohong Wang, Loka Reddy Velatooru, Wei Han, Pedram Bijani, Xiao Ni
Small-Molecule Ccr4 Antagonists In Cutaneous T-Cell Lymphoma, José S Enriquez, Xiaohong Wang, Loka Reddy Velatooru, Wei Han, Pedram Bijani, Xiao Ni
Faculty, Staff and Student Publications
Mycosis fungoides (MF) and Sézary syndrome (SS) are two most common types of cutaneous T-cell lymphoma (CTCL). Despite advances in understanding the pathogenesis of MF and SS, effective treatments remain limited. CC chemokine receptor-4 (CCR4) is highly expressed on CTCL cells and serves as a great therapeutic target. Mogamulizumab, an FDA-approved anti-CCR4 antibody, has shown efficacy in treating MF/SS; however, its side effects have raised concerns, underscoring the need for more effective and less toxic CCR4-targeted therapies. Although small-molecule CCR4 antagonists have been studied in other diseases involving CCR4+ Th2 cells and regulatory T cells, their effects in CTCL …
Evaluating Dynamic And Predictive Discrimination For Recurrent Event Models: Use Of A Time-Dependent C-Index, Jian Wang, Xinyang Jiang, Jing Ning
Evaluating Dynamic And Predictive Discrimination For Recurrent Event Models: Use Of A Time-Dependent C-Index, Jian Wang, Xinyang Jiang, Jing Ning
Faculty, Staff and Student Publications
Interest in analyzing recurrent event data has increased over the past few decades. One essential aspect of a risk prediction model for recurrent event data is to accurately distinguish individuals with different risks of developing a recurrent event. Although the concordance index (C-index) effectively evaluates the overall discriminative ability of a regression model for recurrent event data, a local measure is also desirable to capture dynamic performance of the regression model over time. Therefore, in this study, we propose a time-dependent C-index measure for inferring the model's discriminative ability locally. We formulated the C-index as a function of time using …
Mhc Hammer Reveals Genetic And Non-Genetic Hla Disruption In Cancer Evolution, Clare Puttick, Thomas P Jones, Michelle M Leung, Felipe Galvez-Cancino, Jiali Liu, Manuel Varas-Godoy, Andrew Rowan, Oriol Pich, Carlos Martinez-Ruiz, Robert Bentham, Krijn K Dijkstra, James R M Black, Rachel Rosenthal, Nnennaya Kanu, Kevin Litchfield, Roberto Salgado, David A Moore, Peter Van Loo, Mariam Jamal-Hanjani, Sergio A Quezada, Tracerx Consortium, Charles Swanton, Nicholas Mcgranahan
Mhc Hammer Reveals Genetic And Non-Genetic Hla Disruption In Cancer Evolution, Clare Puttick, Thomas P Jones, Michelle M Leung, Felipe Galvez-Cancino, Jiali Liu, Manuel Varas-Godoy, Andrew Rowan, Oriol Pich, Carlos Martinez-Ruiz, Robert Bentham, Krijn K Dijkstra, James R M Black, Rachel Rosenthal, Nnennaya Kanu, Kevin Litchfield, Roberto Salgado, David A Moore, Peter Van Loo, Mariam Jamal-Hanjani, Sergio A Quezada, Tracerx Consortium, Charles Swanton, Nicholas Mcgranahan
Faculty, Staff and Student Publications
Disruption of the class I human leukocyte antigen (HLA) molecules has important implications for immune evasion and tumor evolution. We developed major histocompatibility complex loss of heterozygosity (LOH), allele-specific mutation and measurement of expression and repression (MHC Hammer). We identified extensive variability in HLA allelic expression and pervasive HLA alternative splicing in normal lung and breast tissue. In lung TRACERx and lung and breast TCGA cohorts, 61% of lung adenocarcinoma (LUAD), 76% of lung squamous cell carcinoma (LUSC) and 35% of estrogen receptor-positive (ER+) cancers harbored class I HLA transcriptional repression, while HLA tumor-enriched alternative splicing occurred in 31%, 11% …
Biomarker Trajectory For Earlier Detection Of Lung Cancer, Ehsan Irajizad, Johannes F Fahrmann, Iakovos Toumazis, Jody Vykoukal, Jennifer B Dennison, Yu Shen, Kim-Anh Do, Edwin J Ostrin, Ziding Feng, Samir Hanash
Biomarker Trajectory For Earlier Detection Of Lung Cancer, Ehsan Irajizad, Johannes F Fahrmann, Iakovos Toumazis, Jody Vykoukal, Jennifer B Dennison, Yu Shen, Kim-Anh Do, Edwin J Ostrin, Ziding Feng, Samir Hanash
Faculty, Staff and Student Publications
Background: To determine whether an algorithm based on repeated measurements of a panel of four circulating protein biomarkers (4 MP) for lung cancer risk assessment results in improved performance over a single time measurement.
Methods: We conducted data analysis of the 4 MP consisting of the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19 fragment in pre-diagnostic sera from 2483 ever-smoker participants (389 cases and 2094 randomly selected non-cases) in the Prostate, Lung, Colorectal, Ovarian (PLCO) Study who had at least two sequential blood collections over 6 years. A parametric empirical Bayes (PEB) algorithm, which …
Meta-Analysis Of Censored Adverse Events, Xinyue Qi, Shouhao Zhou, Christine B Peterson, Yucai Wang, Xinying Fang, Michael L Wang, Chan Shen
Meta-Analysis Of Censored Adverse Events, Xinyue Qi, Shouhao Zhou, Christine B Peterson, Yucai Wang, Xinying Fang, Michael L Wang, Chan Shen
Faculty, Staff and Student Publications
Meta-analysis is a powerful tool for assessing drug safety by combining treatment-related toxicological findings across multiple studies, as clinical trials are typically underpowered for detecting adverse drug effects. However, incomplete reporting of adverse events (AEs) in published clinical studies is frequently encountered, especially if the observed number of AEs is below a pre-specified study-dependent threshold. Ignoring the censored AE information, often found in lower frequency, can significantly bias the estimated incidence rate of AEs. Despite its importance, this prevalent issue in meta-analysis has received little statistical or analytic attention in the literature. To address this challenge, we propose a Bayesian …
Cross-Silo Federated Learning With Record-Level Personalized Differential Privacy, Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Cross-Silo Federated Learning With Record-Level Personalized Differential Privacy, Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng
Faculty, Staff and Student Publications
Federated learning (FL) enhanced by differential privacy has emerged as a popular approach to better safeguard the privacy of client-side data by protecting clients’ contributions during the training process. Existing solutions typically assume a uniform privacy budget for all records and provide one-size-fits-all solutions that may not be adequate to meet each record’s privacy requirement. In this paper, we explore the uncharted territory of cross-silo FL with record-level personalized differential privacy. We devise a novel framework named rPDP-FL, employing a two-stage hybrid sampling scheme with both uniform client-level sampling and non-uniform record-level sampling to accommodate varying privacy requirements.
A …
Enhanced Privacy Bound For Shuffle Model With Personalized Privacy, Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen
Enhanced Privacy Bound For Shuffle Model With Personalized Privacy, Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen
Faculty, Staff and Student Publications
The shuffle model of Differential Privacy (DP) is an enhanced privacy protocol which significantly amplifies the central DP guarantee by anonymizing and shuffling the local randomized data. Yet, deriving a tight privacy bound is challenging due to its complicated randomization protocol. While most existing works focused on uniform local privacy settings, this work focuses on a more practical personalized privacy setting. To bound the privacy after shuffling, we need to capture the probability of each user generating clones of the neighboring data points and quantify the indistinguishability between two distributions of the number of clones on neighboring datasets. Existing works …
Precurious: How Innocent Pre-Trained Language Models Turn Into Privacy Traps, Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
Precurious: How Innocent Pre-Trained Language Models Turn Into Privacy Traps, Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
Faculty, Staff and Student Publications
The pre-training and fine-tuning paradigm has demonstrated its effectiveness and has become the standard approach for tailoring language models to various tasks. Currently, community-based platforms offer easy access to various pre-trained models, as anyone can publish without strict validation processes. However, a released pre-trained model can be a privacy trap for fine-tuning datasets if it is carefully designed. In this work, we propose PreCurious framework to reveal the new attack surface where the attacker releases the pre-trained model and gets a black-box access to the final fine-tuned model. PreCurious aims to escalate the general privacy risk of both membership inference …
Cellular Prion Protein Acts As Mediator Of Amyloid Beta Uptake By Caveolin-1 Causing Cellular Dysfunctions In Vitro And In Vivo, Angela Da Silva Correia, Matthias Schmitz, Anna-Lisa Fischer, Susana Da Silva Correia, Franco L Simonetti, Gesine Saher, Roberto Goya-Maldonado, Amandeep Singh Arora, Andre Fischer, Tiago F Outeiro, Inga Zerr
Cellular Prion Protein Acts As Mediator Of Amyloid Beta Uptake By Caveolin-1 Causing Cellular Dysfunctions In Vitro And In Vivo, Angela Da Silva Correia, Matthias Schmitz, Anna-Lisa Fischer, Susana Da Silva Correia, Franco L Simonetti, Gesine Saher, Roberto Goya-Maldonado, Amandeep Singh Arora, Andre Fischer, Tiago F Outeiro, Inga Zerr
Faculty, Staff and Student Publications
Introduction: Cellular prion protein (PrPC) was implicated in amyloid beta (Aβ)-induced toxicity in Alzheimer's disease (AD), but the precise molecular mechanisms involved in this process are unclear.
Methods: Double transgenic mice were generated by crossing Prnp knockout (KO) with 5xFAD mice, and light-sheet microscopy was used for whole brain tissue analyses. PrPC-overexpressing cells were developed for in vitro studies, and microscopy was used to assess co-localization of proteins of interest. Surface-plasmon resonance (SPR) was used to investigate protein-binding characteristics.
Results: In vivo, PrPC levels correlated with reduced lifespan and cognitive and motor function, and its ablation disconnected behavior deficits from …
Neoadjuvant And Adjuvant Treatments For Early Stage Resectable Nsclc: Consensus Recommendations From The International Association For The Study Of Lung Cancer, Jonathan D Spicer, Tina Cascone, Murry W Wynes, Myung-Ju Ahn, Sanja Dacic, Enriqueta Felip, Patrick M Forde, Kristin A Higgins, Mark G Kris, Tetsuya Mitsudomi, Mariano Provencio, Suresh Senan, Benjamin J Solomon, Ming Sound Tsao, Masahiro Tsuboi, Heather A Wakelee, Yi-Long Wu, James Chih-Hsin Yang, Caicun Zhou, David H Harpole, Karen L Kelly
Neoadjuvant And Adjuvant Treatments For Early Stage Resectable Nsclc: Consensus Recommendations From The International Association For The Study Of Lung Cancer, Jonathan D Spicer, Tina Cascone, Murry W Wynes, Myung-Ju Ahn, Sanja Dacic, Enriqueta Felip, Patrick M Forde, Kristin A Higgins, Mark G Kris, Tetsuya Mitsudomi, Mariano Provencio, Suresh Senan, Benjamin J Solomon, Ming Sound Tsao, Masahiro Tsuboi, Heather A Wakelee, Yi-Long Wu, James Chih-Hsin Yang, Caicun Zhou, David H Harpole, Karen L Kelly
Faculty, Staff and Student Publications
Advances in the multidisciplinary care of early stage resectable NSCLC (rNSCLC) are emerging at an unprecedented pace. Numerous phase 3 trials produced results that have transformed patient outcomes for the better, yet these findings also require important modifications to the patient treatment journey trajectory and reorganization of care pathways. Perhaps, most notably, the need for multispecialty collaboration for this patient population has never been greater. These rapid advances have inevitably left us with important gaps in knowledge for which definitive answers will only become available in several years. To this end, the International Association for the Study of Lung Cancer …
Mutational Characteristics And Clinical Outcomes For Lung Adenocarcinoma With Egfr Germline Mutations, Kelsey Pan, Jennifer Owens, Yasir Elamin, Charles Lu, Mark Routbort, Jianjun Zhang, Frank Fossella, Marcelo V Negrao, Mehmet Altan, Jenny Pozadzides, Ferdinandos Skoulidis, Anne Tsao, Tina Cascone, John V Heymach, Edwin Ostrin, Xiuning Le
Mutational Characteristics And Clinical Outcomes For Lung Adenocarcinoma With Egfr Germline Mutations, Kelsey Pan, Jennifer Owens, Yasir Elamin, Charles Lu, Mark Routbort, Jianjun Zhang, Frank Fossella, Marcelo V Negrao, Mehmet Altan, Jenny Pozadzides, Ferdinandos Skoulidis, Anne Tsao, Tina Cascone, John V Heymach, Edwin Ostrin, Xiuning Le
Faculty, Staff and Student Publications
Introduction: Germline mutations driving lung cancer have been infrequently reported in the literature, with EGFR T790M being a known germline mutation identified in 1% of NSCLCs. Typically, a somatic EGFR mutation is acquired to develop lung adenocarcinoma. Osimertinib has become a standard-of-care treatment for EGFR T790M-positive lung cancer.
Methods: We perform a retrospective analysis through the Lung Cancer Moon Shot GEMINI database at the University of Texas MD Anderson Cancer Center. Of the patients that underwent cell-free DNA analysis, germline mutations were identified by those with high variant allelic fraction approximating 50%, followed by further confirmation on genetic testing.
Results: …
Multifocal, Multiphenotypic Tumours Arising From An Mtor Mutation Acquired In Early Embryogenesis, Clarissa N Pacyna, Madhanagopal Anandapadamanaban, Kevin W Loudon, Iain M Hay, Olga Perisic, Ruoyan Li, Matthew Byrne, Laura Allen, Kirsty Roberts, Yvette Hooks, Anne Y Warren, Grant D Stewart, Menna R Clatworthy, Sarah A Teichmann, Sam Behjati, Peter J Campbell, Roger L Williams, Thomas J Mitchell
Multifocal, Multiphenotypic Tumours Arising From An Mtor Mutation Acquired In Early Embryogenesis, Clarissa N Pacyna, Madhanagopal Anandapadamanaban, Kevin W Loudon, Iain M Hay, Olga Perisic, Ruoyan Li, Matthew Byrne, Laura Allen, Kirsty Roberts, Yvette Hooks, Anne Y Warren, Grant D Stewart, Menna R Clatworthy, Sarah A Teichmann, Sam Behjati, Peter J Campbell, Roger L Williams, Thomas J Mitchell
Faculty, Staff and Student Publications
Embryogenesis is a vulnerable time. Mutations in developmental cells can result in the wide dissemination of cells predisposed to disease within mature organs. We characterised the evolutionary history of four synchronous renal tumours from a 14-year-old girl using whole genome sequencing alongside single cell and bulk transcriptomic sequencing. Phylogenetic reconstruction timed the origin of all tumours to a multipotent embryonic cell committed to the right kidney, around 4 weeks post-conception. Biochemical and structural analysis of their shared MTOR mutation, absent from normal tissues, demonstrates enhanced protein flexibility, enabling a FAT domain hinge to dramatically increase activity of mTORC1 and mTORC2. …
Dual Targeting Macrophages And Microglia Is A Therapeutic Vulnerability In Models Of Pten-Deficient Glioblastoma, Yang Liu, Junyan Wu, Hinda Najem, Yiyun Lin, Lizhi Pang, Fatima Khan, Fei Zhou, Heba Ali, Amy B Heimberger, Peiwen Chen
Dual Targeting Macrophages And Microglia Is A Therapeutic Vulnerability In Models Of Pten-Deficient Glioblastoma, Yang Liu, Junyan Wu, Hinda Najem, Yiyun Lin, Lizhi Pang, Fatima Khan, Fei Zhou, Heba Ali, Amy B Heimberger, Peiwen Chen
Faculty, Staff and Student Publications
Tumor-associated macrophages and microglia (TAMs) are critical for tumor progression and therapy resistance in glioblastoma (GBM), a type of incurable brain cancer. We previously identified lysyl oxidase (LOX) and olfactomedin like-3 (OLFML3) as essential macrophage and microglia chemokines, respectively, in GBM. Here, single-cell transcriptomics and multiplex sequential immunofluorescence followed by functional studies demonstrate that macrophages negatively correlate with microglia in the GBM tumor microenvironment. LOX inhibition in PTEN-deficient GBM cells upregulates OLFML3 expression via the NF-κB-PATZ1 signaling pathway, inducing a compensatory increase of microglia infiltration. Dual targeting macrophages and microglia via inhibition of LOX and the CLOCK-OLFML3 axis generates potent …
Challenges And Opportunities For Early Phase Clinical Trials Of Novel Drug-Radiotherapy Combinations: Recommendations From Nrg Oncology, The American Society For Radiation Oncology (Astro), The American College Of Radiology (Acr), The Sarah Cannon Research Institute, And The American College Of Radiation Oncology (Acro), Zachary S Zumsteg, Siddharth Sheth, Salma K Jabbour, Krishnan R Patel, Randall J Kimple, Terence M Williams, Meng Xu-Welliver, Pedro A Torres-Saavedra, Arta M Monjazeb, Jyoti Mayadev, Steven E Finkelstein, John M Buatti, Sandip P Patel, Steven H Lin
Challenges And Opportunities For Early Phase Clinical Trials Of Novel Drug-Radiotherapy Combinations: Recommendations From Nrg Oncology, The American Society For Radiation Oncology (Astro), The American College Of Radiology (Acr), The Sarah Cannon Research Institute, And The American College Of Radiation Oncology (Acro), Zachary S Zumsteg, Siddharth Sheth, Salma K Jabbour, Krishnan R Patel, Randall J Kimple, Terence M Williams, Meng Xu-Welliver, Pedro A Torres-Saavedra, Arta M Monjazeb, Jyoti Mayadev, Steven E Finkelstein, John M Buatti, Sandip P Patel, Steven H Lin
Faculty, Staff and Student Publications
NRG Oncology's Developmental Therapeutics and Radiation Therapy Subcommittee assembled an interdisciplinary group of investigators to address barriers to successful early phase clinical trials of novel combination therapies involving radiation. This Policy Review elucidates some of the many challenges associated with study design for early phase trials combining radiotherapy with novel systemic agents, which are distinct from drug-drug combination development and are often overlooked. We also advocate for potential solutions that could mitigate or eliminate some of these barriers, providing examples of specific clinical trial designs that could help facilitate efficient and effective evaluation of novel drug-radiotherapy combinations.
Mechanisms By Which The Intratumoral Microbiome May Potentiate Immunotherapy Response, Dalissa Negrón-Figueroa, Lauren E Colbert
Mechanisms By Which The Intratumoral Microbiome May Potentiate Immunotherapy Response, Dalissa Negrón-Figueroa, Lauren E Colbert
Faculty, Staff and Student Publications
No abstract provided.
Lower Intensity Therapy With Cladribine/Low Dose Cytarabine/Venetoclax In Older Patients With Acute Myeloid Leukemia Compares Favorably With Intensive Chemotherapy Among Patients Undergoing Allogeneic Stem Cell Transplantation, Jayastu Senapati, Hagop M Kantarjian, Alexandre Bazinet, Patrick Reville, Nicholas J Short, Naval Daver, Gautam Borthakur, Alex Bataller, Elias Jabbour, Courtney Dinardo, Fadi Haddad, Koji Sasaki, Uday Popat, Betul Oran, Amin M Alousi, Sanam Loghavi, Elizabeth Shpall, Guillermo Garcia-Manero, Farhad Ravandi, Tapan M Kadia
Lower Intensity Therapy With Cladribine/Low Dose Cytarabine/Venetoclax In Older Patients With Acute Myeloid Leukemia Compares Favorably With Intensive Chemotherapy Among Patients Undergoing Allogeneic Stem Cell Transplantation, Jayastu Senapati, Hagop M Kantarjian, Alexandre Bazinet, Patrick Reville, Nicholas J Short, Naval Daver, Gautam Borthakur, Alex Bataller, Elias Jabbour, Courtney Dinardo, Fadi Haddad, Koji Sasaki, Uday Popat, Betul Oran, Amin M Alousi, Sanam Loghavi, Elizabeth Shpall, Guillermo Garcia-Manero, Farhad Ravandi, Tapan M Kadia
Faculty, Staff and Student Publications
Background: Allogeneic stem cell transplantation (SCT) remains the best consolidative modality in most patients with acute myeloid leukemia (AML). Along with factors directly pertaining to SCT, pretransplantation disease control, performance status, and prior treatment-related complications are important factors that affect posttransplantation survival outcomes.
Methods: The authors compared the survival outcomes of patients ≥60 years of age treated on the phase 2 clinical trial of venetoclax (Ven) added to cladribine (CLAD) and low dose cytarabine (LDAC) alternating with azacitidine (CLAD/LDAC/Ven arm) (NCT03586609) who underwent allogeneic SCT in first remission to a retrospective cohort of patients ≥60 years of age …
Drug-Resistant Epilepsy In Tuberous Sclerosis Complex Is Associated With Tsc2 Genotype: More Findings From The Preventing Epilepsy Using Vigatrin (Prevent) Trial, Laura S Farach, Melissa A Richard, Aynara C Wulsin, Elizabeth M Bebin, Darcy A Krueger, Mustafa Sahin, Brenda E Porter, Tarrant O Mcpherson, Jurriaan M Peters, Sarah O'Kelley, Katherine S Taub, Rajsekar Rajaraman, Stephanie C Randle, William M Mcclintock, Mary Kay Koenig, Michael D Frost, Klaus Werner, Danielle A Nolan, Michael Wong, Gary Cutter, Hope Northrup, Kit Sing Au
Drug-Resistant Epilepsy In Tuberous Sclerosis Complex Is Associated With Tsc2 Genotype: More Findings From The Preventing Epilepsy Using Vigatrin (Prevent) Trial, Laura S Farach, Melissa A Richard, Aynara C Wulsin, Elizabeth M Bebin, Darcy A Krueger, Mustafa Sahin, Brenda E Porter, Tarrant O Mcpherson, Jurriaan M Peters, Sarah O'Kelley, Katherine S Taub, Rajsekar Rajaraman, Stephanie C Randle, William M Mcclintock, Mary Kay Koenig, Michael D Frost, Klaus Werner, Danielle A Nolan, Michael Wong, Gary Cutter, Hope Northrup, Kit Sing Au
Faculty, Staff and Student Publications
Background: Children with tuberous sclerosis complex (TSC) are at high risk for drug-resistant epilepsy (DRE). The ability to stratify those at highest risk for DRE is important for counseling and prompt, aggressive management, necessary to optimize neurocognitive outcomes. Using the extensively phenotyped PREVeNT cohort, we aimed to characterize whether the TSC genotype was associated with DRE.
Methods: The study group (N = 70) comprised participants with TSC enrolled at age less than or equal to six months with detailed epilepsy and other phenotypic and genotypic data, prospectively collected as part of the PREVeNT trial. Genotype-phenotype correlations of DRE, time to …
Collision Tumor: Multinodular And Vacuolating Neuronal Tumor With Isocitrate Dehydrogenase-Mutant Diffuse Astrocytoma, Vinodh A Kumar, Alejandro Perez, Angela L Young, Julia Jones, Barbara J O'Brien, Frederick F Lang, Jason T Huse, Gregory N Fuller
Collision Tumor: Multinodular And Vacuolating Neuronal Tumor With Isocitrate Dehydrogenase-Mutant Diffuse Astrocytoma, Vinodh A Kumar, Alejandro Perez, Angela L Young, Julia Jones, Barbara J O'Brien, Frederick F Lang, Jason T Huse, Gregory N Fuller
Faculty, Staff and Student Publications
Herein, we report a case of a collision tumor involving a multinodular and vacuolating neuronal tumor (MVNT) and a diffuse astrocytoma. A collision tumor between these two entities has not previously been reported. The patient is a 35-year-old woman who presented with new-onset hearing loss and ringing in her right ear. Magnetic resonance imaging identified a non-enhancing mass involving the gray matter and subcortical white matter of the left middle frontal gyrus. Additionally, tiny clustered nodules were noted along the underlying subcortical ribbon and superficial subcortical white matter of the left superior frontal gyrus. The patient underwent a left frontal …
Asxl1/Tet2 Genotype-Based Risk Stratification Outperforms Asxl1 Mutational Impact And Is Independent Of Mutant Variant Allele Fractions In Chronic Myelomonocytic Leukemia, Clifford M Csizmar, Mark Gurney, Rashmi Kanagal-Shamanna, Kelly Chien, Danielle Hammond, Terra L Lasho, Christy M Finke, Christopher Dean, Anuya Natu, Abhishek A Mangaonkar, Aref Al-Kali, Naseema Gangat, Ayalew Tefferi, Hassan Alkhateeb, Guillermo Garcia-Manero, Rami S Komrokji, Najla A Ali, Eric Padron, Guillermo Montalban-Bravo, Mrinal M Patnaik
Asxl1/Tet2 Genotype-Based Risk Stratification Outperforms Asxl1 Mutational Impact And Is Independent Of Mutant Variant Allele Fractions In Chronic Myelomonocytic Leukemia, Clifford M Csizmar, Mark Gurney, Rashmi Kanagal-Shamanna, Kelly Chien, Danielle Hammond, Terra L Lasho, Christy M Finke, Christopher Dean, Anuya Natu, Abhishek A Mangaonkar, Aref Al-Kali, Naseema Gangat, Ayalew Tefferi, Hassan Alkhateeb, Guillermo Garcia-Manero, Rami S Komrokji, Najla A Ali, Eric Padron, Guillermo Montalban-Bravo, Mrinal M Patnaik
Faculty, Staff and Student Publications
No abstract provided.
Downregulation Of Uba1 Expression In Myelodysplastic Neoplasm, Yue Wei, Hong Zheng, Ziyi Li, Pamela Pennington Lockyer, Faezeh Darbaniyan, Rashmi Kanagal-Shamanna, Hui Yang, Danielle Hammond, Guillermo Garcia-Manero
Downregulation Of Uba1 Expression In Myelodysplastic Neoplasm, Yue Wei, Hong Zheng, Ziyi Li, Pamela Pennington Lockyer, Faezeh Darbaniyan, Rashmi Kanagal-Shamanna, Hui Yang, Danielle Hammond, Guillermo Garcia-Manero
Faculty, Staff and Student Publications
No abstract provided.
Fast Model Calibration For Predicting The Response Of Breast Cancer To Chemotherapy Using Proper Orthogonal Decomposition, Chase Christenson, Chengyue Wu, David A Hormuth, Casey E Stowers, Megan Lamonica, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov
Fast Model Calibration For Predicting The Response Of Breast Cancer To Chemotherapy Using Proper Orthogonal Decomposition, Chase Christenson, Chengyue Wu, David A Hormuth, Casey E Stowers, Megan Lamonica, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov
Faculty, Staff and Student Publications
Constructing digital twins for predictive tumor treatment response models can have a high computational demand that presents a practical barrier for their clinical adoption. In this work, we demonstrate that proper orthogonal decomposition, by which a low-dimensional representation of the full model is constructed, can be used to dramatically reduce the computational time required to calibrate a partial differential equation model to magnetic resonance imaging (MRI) data for rapid predictions of tumor growth and response to chemotherapy. In the proposed formulation, the reduction basis is based on each patient's own MRI data and controls the overall size of the "reduced …
Artificial Intelligence Applications In Oral Cancer And Oral Dysplasia, Chi T Viet, Michael Zhang, Neeraja Dharmaraj, Grace Y Li, Alexander T Pearson, Victoria A Manon, Anupama Grandhi, Ke Xu, Bradley E Aouizerat, Simon Young
Artificial Intelligence Applications In Oral Cancer And Oral Dysplasia, Chi T Viet, Michael Zhang, Neeraja Dharmaraj, Grace Y Li, Alexander T Pearson, Victoria A Manon, Anupama Grandhi, Ke Xu, Bradley E Aouizerat, Simon Young
Faculty, Staff and Student Publications
Oral squamous cell carcinoma (OSCC) is a highly unpredictable disease with devastating mortality rates that have not changed over the past decades, in the face of advancements in treatments and biomarkers, which have improved survival for other cancers. Delays in diagnosis are frequent, leading to more disfiguring treatments and poor outcomes for patients. The clinical challenge lies in identifying those patients at the highest risk of developing OSCC. Oral epithelial dysplasia (OED) is a precursor of OSCC with highly variable behavior across patients. There is no reliable clinical, pathological, histological, or molecular biomarker to determine individual risk in OED patients. …
A Single-Cell Atlas Of The Murine Pancreatic Ductal Tree Identifies Novel Cell Populations With Potential Implications In Pancreas Regeneration And Exocrine Pathogenesis, Ángel Fernández, Joan Casamitjana, Adrián Holguín-Horcajo, Katarina Coolens, Loris Mularoni, Li Guo, Olga Hartwig, Tim Düking, Noemi Vidal, Lincoln N Strickland, Lorenzo Pasquali, Jennifer M Bailey-Lundberg, Ilse Rooman, Yue J Wang, Meritxell Rovira
A Single-Cell Atlas Of The Murine Pancreatic Ductal Tree Identifies Novel Cell Populations With Potential Implications In Pancreas Regeneration And Exocrine Pathogenesis, Ángel Fernández, Joan Casamitjana, Adrián Holguín-Horcajo, Katarina Coolens, Loris Mularoni, Li Guo, Olga Hartwig, Tim Düking, Noemi Vidal, Lincoln N Strickland, Lorenzo Pasquali, Jennifer M Bailey-Lundberg, Ilse Rooman, Yue J Wang, Meritxell Rovira
Faculty, Staff and Student Publications
Background & aims: Pancreatic ducts form an intricate network of tubules that secrete bicarbonate and drive acinar secretions into the duodenum. This network is formed by centroacinar cells, terminal, intercalated, intracalated ducts, and the main pancreatic duct. Ductal heterogeneity at the single-cell level has been poorly characterized; therefore, our understanding of the role of ductal cells in pancreas regeneration and exocrine pathogenesis has been hampered by the limited knowledge and unexplained diversity within the ductal network.
Methods: We used single cell RNA sequencing to comprehensively characterize mouse ductal heterogeneity at single-cell resolution of the entire ductal epithelium from centroacinar cells …
Subsyndromes And Symptom Clusters: Multilevel Factor Analysis Of Behavioral And Psychological Symptoms Of Dementia With Intensive Longitudinal Data, Carolyn E Z Pickering, Vicki Winstead, Mustafa Yildiz, Danny Wang, Maria Yefimova, Andrew M Pickering
Subsyndromes And Symptom Clusters: Multilevel Factor Analysis Of Behavioral And Psychological Symptoms Of Dementia With Intensive Longitudinal Data, Carolyn E Z Pickering, Vicki Winstead, Mustafa Yildiz, Danny Wang, Maria Yefimova, Andrew M Pickering
Faculty, Staff and Student Publications
Introduction: Behavioral and psychological symptoms in dementia (BPSD) are dynamic phenomena with a high amount of intraindividual variability. We applied a multilevel framework to identify subsyndromes (between-person factors) that represent clinically relevant profiles of BPSD and identify symptom clusters (within-person factors) that represent contextually driven daily symptom experiences.
Methods: This study used an intensive longitudinal design in which 68 co-residing family caregivers to persons living with dementia were recruited to proxy report on their care recipient's daily symptom experiences of 23 different BPSD for eight consecutive days (n = 443 diaries). A multilevel exploratory/confirmatory factor analysis was used to account …