Digital Commons Network^™

Leveraging Digital Technologies For Management Of Peripartum Depression To Mitigate Health Disparities, Alexandra Zingg

Dissertations and Theses (Open Access)

Health disparities are adverse, preventable differences in health outcomes that affect disadvantaged populations. Examples of health disparities can be seen in the condition of peripartum depression (PPD), a mood disorder affecting approximately 10-15% of peripartum women. For example, Hispanic and African-American women are less likely to start or continue PPD treatment. Digital health technologies have emerged as practical solutions for PPD care and self-management. However, existing digital solutions lack an incorporation of behavior theory and distinctive information needs based on women’s personal, social, and clinical profiles. Bridging this gap, I adapt Digilego, an integrative digital health development framework consisting of: …

Decs: A Tool For Systematic Cell Type Annotations Of Single-Cell Rna Sequencing Data Among Human Tissues, Guangsheng Pei, Fangfang Yan, Lukas M Simon, Yulin Dai, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) is revolutionizing the study of complex and dynamic cellular mechanisms. However, cell type annotation remains a main challenge as it largely relies on a priori knowledge and manual curation, which is cumbersome and subjective. The increasing number of scRNA-seq datasets, as well as numerous published genetic studies, has motivated us to build a comprehensive human cell type reference atlas.Here, we present decoding Cell type Specificity (deCS), an automatic cell type annotation method augmented by a comprehensive collection of human cell type expression profiles and marker genes. We used deCS to annotate scRNA-seq data from various tissue …

An Untrained Deep Learning Method For Reconstructing Dynamic Mr Images From Accelerated Model-Based Data, Kalina P Slavkova, Julie C Dicarlo, Viraj Wadhwa, Sidharth Kumar, Chengyue Wu, John Virostko, Thomas E Yankeelov, Jonathan I Tamir

Faculty, Staff and Student Publications

PURPOSE: To implement physics-based regularization as a stopping condition in tuning an untrained deep neural network for reconstructing MR images from accelerated data.

METHODS: The ConvDecoder (CD) neural network was trained with a physics-based regularization term incorporating the spoiled gradient echo equation that describes variable-flip angle data. Fully-sampled variable-flip angle k-space data were retrospectively accelerated by factors of R = {8, 12, 18, 36} and reconstructed with CD, CD with the proposed regularization (CD + r), locally low-rank (LR) reconstruction, and compressed sensing with L1-wavelet regularization (L1). Final images from CD + r training were evaluated at the "argmin" of …

Causal Effects On Complex Traits Are Similar For Common Variants Across Segments Of Different Continental Ancestries Within Admixed Individuals, Kangcheng Hou, Yi Ding, Ziqi Xu, Yue Wu, Arjun Bhattacharya, Rachel Mester, Gillian M Belbin, Steve Buyske, David V Conti, Burcu F Darst, Myriam Fornage, Chris Gignoux, Xiuqing Guo, Christopher Haiman, Eimear E Kenny, Michelle Kim, Charles Kooperberg, Leslie Lange, Ani Manichaikul, Kari E North, Ulrike Peters, Laura J Rasmussen-Torvik, Stephen S Rich, Jerome I Rotter, Heather E Wheeler, Genevieve L Wojcik, Ying Zhou, Sriram Sankararaman, Bogdan Pasaniuc

Faculty, Staff and Student Publications

Individuals of admixed ancestries (for example, African Americans) inherit a mosaic of ancestry segments (local ancestry) originating from multiple continental ancestral populations. This offers the unique opportunity of investigating the similarity of genetic effects on traits across ancestries within the same population. Here we introduce an approach to estimate correlation of causal genetic effects (radmix) across local ancestries and analyze 38 complex traits in African-European admixed individuals (N = 53,001) to observe very high correlations (meta-analysis radmix = 0.95, 95% credible interval 0.93-0.97), much higher than correlation of causal effects across continental ancestries. We replicate our results using regression-based methods …

Quantification Of The Role Of Lead Foil In Flattening Filter Free Beam Reference Dosimetry, Song Gao, Christopher Nelson, Congjun Wang, Vindu Kathriarachchi, Michael Choi, Rishik Saxena, Robin Kendall, Peter Balter

Faculty, Staff and Student Publications

PURPOSE: To quantify the potential error in outputs for flattening filter free (FFF) beams associated with use of a lead foil in beam quality determination per the addendum protocol for TG-51, we examined differences in measurements of the beam quality conversion factor k

METHODS: Two FFF beams, a 6 MV FFF and a 10 MV FFF, were calibrated on eight Varian TrueBeams and two Elekta Versa HD linear accelerators (linacs) according to the TG-51 addendum protocol by using Farmer ionization chambers [TN 30013 (PTW) and SNC600c (Sun Nuclear)] with traceable absorbed dose-to-water calibrations. In determining k

RESULTS: Differences in %dd(10)x …

Prediction Of Brain Metastases Development In Patients With Lung Cancer By Explainable Artificial Intelligence From Electronic Health Records, Zhao Li, Rongbin Li, Yujia Zhou, Laila Rasmy, Degui Zhi, Ping Zhu, Antonio Dono, Xiaoqian Jiang, Hua Xu, Yoshua Esquenazi, W Jim Zheng

Faculty, Staff and Student Publications

PURPOSE: Early detection of brain metastases (BMs) is critical for prompt treatment and optimal control of the disease. In this study, we seek to predict the risk of developing BM among patients diagnosed with lung cancer on the basis of electronic health record (EHR) data and to understand what factors are important for the model to predict BM development through explainable artificial intelligence approaches accurately.

MATERIALS AND METHODS: We trained a recurrent neural network model, REverse Time AttentIoN (RETAIN), to predict the risk of developing BM using structured EHR data. To interpret the model's decision process, we analyzed the attention …

Why Is Biomedical Informatics Hard? A Fundamental Framework, Todd R Johnson, Elmer V Bernstam

Faculty, Staff and Student Publications

Building on previous work to define the scientific discipline of biomedical informatics, we present a framework that categorizes fundamental challenges into groups based on data, information, and knowledge, along with the transitions between these levels. We define each level and argue that the framework provides a basis for separating informatics problems from non-informatics problems, identifying fundamental challenges in biomedical informatics, and provides guidance regarding the search for general, reusable solutions to informatics problems. We distinguish between processing data (symbols) and processing meaning. Computational systems, that are the basis for modern information technology (IT), process data. In contrast, many important challenges …

De Novo Mutations Disturb Early Brain Development More Frequently Than Common Variants In Schizophrenia, Toshiyuki Itai, Peilin Jia, Yulin Dai, Jingchun Chen, Xiangning Chen, Zhongming Zhao

Faculty, Staff and Student Publications

Investigating functional, temporal, and cell-type expression features of mutations is important for understanding a complex disease. Here, we collected and analyzed common variants and de novo mutations (DNMs) in schizophrenia (SCZ). We collected 2,636 missense and loss-of-function (LoF) DNMs in 2,263 genes across 3,477 SCZ patients (SCZ-DNMs). We curated three gene lists: (a) SCZ-neuroGenes (159 genes), which are intolerant to LoF and missense DNMs and are neurologically important, (b) SCZ-moduleGenes (52 genes), which were derived from network analyses of SCZ-DNMs, and (c) SCZ-commonGenes (120 genes) from a recent GWAS as reference. To compare temporal gene expression, we used the BrainSpan …

Renal-Hepatic-Pancreatic Dysplasia Type 2: Perinatal Lethal Condition Or A Multisystemic Disorder With Variable Expressivity, Kathryn Gunther, Essam M Imseis, Joyce P Samuel, Elizabeth A Hillman, Tiina H Ojala, Timo Jahnukainen, Paul R Hillman

Faculty, Staff and Student Publications

BACKGROUND: Renal-hepatic-pancreatic dysplasia type 2 (RHPD2) is a rare condition that has been described in the literature disproportionately in perinatal losses. The main features of liver and kidney involvement are well described, with cardiac malformations and cardiomyopathy adding additional variation to the phenotype. Many patients reported are within larger cohorts of congenital anomalies of kidney and urinary tract (CAKUT) or liver failure, and with minimal phenotypic and clinical course data.

METHODS: An independent series of phenotypes and prognosis was aggregated from the literature. In this literature review, we describe an additional patient with RHPD2, provide a clinical update on the …

Hyperphosphorylated Tau In Mesial Temporal Lobe Epilepsy: A Neuropathological And Cognitive Study, Eliana C B Toscano, Érica L M Vieira, Lea T Grinberg, Natalia P Rocha, Joseane A S Brant, Regina S Paradela, Alexandre V Giannetti, Claudia K Suemoto, Renata E P Leite, Ricardo Nitrini, Milene A Rachid, Antonio L Teixeira

Faculty, Staff and Student Publications

Temporal lobe epilepsy (TLE) often courses with cognitive deficits, but its underlying neuronal basis remains unclear. Confluent data suggest that epilepsy share pathophysiological mechanisms with neurodegenerative diseases. However, as most studies analyze subjects 60 years old and older, it is challenging to rule out that neurodegenerative changes arise from age-related mechanisms rather than epilepsy in these individuals. To fill this gap, we conducted a neuropathological investigation of the hippocampal formation of 22 adults with mesial TLE and 20 age- and sex-matched controls (both younger than 60 years). Moreover, we interrogated the relationship between these neuropathological metrics and cognitive performance. Hippocampal …

Genomic-Transcriptomic Evolution In Lung Cancer And Metastasis, Carlos Martínez-Ruiz, James R M Black, Clare Puttick, Mark S Hill, Jonas Demeulemeester, Elizabeth Larose Cadieux, Kerstin Thol, Thomas P Jones, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Paulina Prymas, Andrew Rowan, Sophia Ward, Laura Cubitt, Foteini Athanasopoulou, Oriol Pich, Takahiro Karasaki, David A Moore, Roberto Salgado, Emma Colliver, Carla Castignani, Michelle Dietzen, Ariana Huebner, Maise Al Bakir, Miljana Tanić, Thomas B K Watkins, Emilia L Lim, Ali M Al-Rashed, Danny Lang, James Clements, Daniel E Cook, Rachel Rosenthal, Gareth A Wilson, Alexander M Frankell, Sophie De Carné Trécesson, Philip East, Nnennaya Kanu, Kevin Litchfield, Nicolai J Birkbak, Allan Hackshaw, Stephan Beck, Peter Van Loo, Mariam Jamal-Hanjani, Charles Swanton, Nicholas Mcgranahan

Faculty, Staff and Student Publications

Intratumour heterogeneity (ITH) fuels lung cancer evolution, which leads to immune evasion and resistance to therapy1. Here, using paired whole-exome and RNA sequencing data, we investigate intratumour transcriptomic diversity in 354 non-small cell lung cancer tumours from 347 out of the first 421 patients prospectively recruited into the TRACERx study2,3. Analyses of 947 tumour regions, representing both primary and metastatic disease, alongside 96 tumour-adjacent normal tissue samples implicate the transcriptome as a major source of phenotypic variation. Gene expression levels and ITH relate to patterns of positive and negative selection during tumour evolution. We observe frequent copy number-independent allele-specific expression …

The Evolution Of Non-Small Cell Lung Cancer Metastases In Tracerx, Maise Al Bakir, Ariana Huebner, Carlos Martínez-Ruiz, Kristiana Grigoriadis, Thomas B K Watkins, Oriol Pich, David A Moore, Selvaraju Veeriah, Sophia Ward, Joanne Laycock, Diana Johnson, Andrew Rowan, Maryam Razaq, Mita Akther, Cristina Naceur-Lombardelli, Paulina Prymas, Antonia Toncheva, Sonya Hessey, Michelle Dietzen, Emma Colliver, Alexander M Frankell, Abigail Bunkum, Emilia L Lim, Takahiro Karasaki, Christopher Abbosh, Crispin T Hiley, Mark S Hill, Daniel E Cook, Gareth A Wilson, Roberto Salgado, Emma Nye, Richard Kevin Stone, Dean A Fennell, Gillian Price, Keith M Kerr, Babu Naidu, Gary Middleton, Yvonne Summers, Colin R Lindsay, Fiona H Blackhall, Judith Cave, Kevin G Blyth, Arjun Nair, Asia Ahmed, Magali N Taylor, Alexander James Procter, Mary Falzon, David Lawrence, Neal Navani, Ricky M Thakrar, Sam M Janes, Dionysis Papadatos-Pastos, Martin D Forster, Siow Ming Lee, Tanya Ahmad, Sergio A Quezada, Karl S Peggs, Peter Van Loo, Caroline Dive, Allan Hackshaw, Nicolai J Birkbak, Simone Zaccaria, Tracerx Consortium, Mariam Jamal-Hanjani, Nicholas Mcgranahan, Charles Swanton

Faculty, Staff and Student Publications

Metastatic disease is responsible for the majority of cancer-related deaths1. We report the longitudinal evolutionary analysis of 126 non-small cell lung cancer (NSCLC) tumours from 421 prospectively recruited patients in TRACERx who developed metastatic disease, compared with a control cohort of 144 non-metastatic tumours. In 25% of cases, metastases diverged early, before the last clonal sweep in the primary tumour, and early divergence was enriched for patients who were smokers at the time of initial diagnosis. Simulations suggested that early metastatic divergence more frequently occurred at smaller tumour diameters (less than 8 mm). Single-region primary tumour sampling resulted in 83% …

The Evolution Of Lung Cancer And Impact Of Subclonal Selection In Tracerx, Alexander M Frankell, Michelle Dietzen, Maise Al Bakir, Emilia L Lim, Takahiro Karasaki, Sophia Ward, Selvaraju Veeriah, Emma Colliver, Ariana Huebner, Abigail Bunkum, Mark S Hill, Kristiana Grigoriadis, David A Moore, James R M Black, Wing Kin Liu, Kerstin Thol, Oriol Pich, Thomas B K Watkins, Cristina Naceur-Lombardelli, Daniel E Cook, Roberto Salgado, Gareth A Wilson, Chris Bailey, Mihaela Angelova, Robert Bentham, Carlos Martínez-Ruiz, Christopher Abbosh, Andrew G Nicholson, John Le Quesne, Dhruva Biswas, Rachel Rosenthal, Clare Puttick, Sonya Hessey, Claudia Lee, Paulina Prymas, Antonia Toncheva, Jon Smith, Wei Xing, Jerome Nicod, Gillian Price, Keith M Kerr, Babu Naidu, Gary Middleton, Kevin G Blyth, Dean A Fennell, Martin D Forster, Siow Ming Lee, Mary Falzon, Madeleine Hewish, Michael J Shackcloth, Eric Lim, Sarah Benafif, Peter Russell, Ekaterini Boleti, Matthew G Krebs, Jason F Lester, Dionysis Papadatos-Pastos, Tanya Ahmad, Ricky M Thakrar, David Lawrence, Neal Navani, Sam M Janes, Caroline Dive, Fiona H Blackhall, Yvonne Summers, Judith Cave, Teresa Marafioti, Javier Herrero, Sergio A Quezada, Karl S Peggs, Roland F Schwarz, Peter Van Loo, Daniël M Miedema, Nicolai J Birkbak, Crispin T Hiley, Allan Hackshaw, Simone Zaccaria, Mariam Jamal-Hanjani, Nicholas Mcgranahan, Charles Swanton

Faculty, Staff and Student Publications

Lung cancer is the leading cause of cancer-associated mortality worldwide1. Here we analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 patients with non-small cell lung cancer prospectively enrolled into the TRACERx study. This project aims to decipher lung cancer evolution and address the primary study endpoint: determining the relationship between intratumour heterogeneity and clinical outcome. In lung adenocarcinoma, mutations in 22 out of 40 common cancer genes were under significant subclonal selection, including classical tumour initiators such as TP53 and KRAS. We defined evolutionary dependencies between drivers, mutational processes and whole genome doubling (WGD) …

Evolutionary Characterization Of Lung Adenocarcinoma Morphology In Tracerx, Takahiro Karasaki, David A Moore, Selvaraju Veeriah, Cristina Naceur-Lombardelli, Antonia Toncheva, Neil Magno, Sophia Ward, Maise Al Bakir, Thomas B K Watkins, Kristiana Grigoriadis, Ariana Huebner, Mark S Hill, Alexander M Frankell, Christopher Abbosh, Clare Puttick, Haoran Zhai, Francisco Gimeno-Valiente, Sadegh Saghafinia, Nnennaya Kanu, Michelle Dietzen, Oriol Pich, Emilia L Lim, Carlos Martínez-Ruiz, James R M Black, Dhruva Biswas, Brittany B Campbell, Claudia Lee, Emma Colliver, Katey S S Enfield, Sonya Hessey, Crispin T Hiley, Simone Zaccaria, Kevin Litchfield, Nicolai J Birkbak, Elizabeth Larose Cadieux, Jonas Demeulemeester, Peter Van Loo, Prasad S Adusumilli, Kay See Tan, Waseem Cheema, Francisco Sanchez-Vega, David R Jones, Natasha Rekhtman, William D Travis, Allan Hackshaw, Teresa Marafioti, Roberto Salgado, John Le Quesne, Andrew G Nicholson, Tracerx Consortium, Nicholas Mcgranahan, Charles Swanton, Mariam Jamal-Hanjani

Faculty, Staff and Student Publications

Lung adenocarcinomas (LUADs) display a broad histological spectrum from low-grade lepidic tumors through to mid-grade acinar and papillary and high-grade solid, cribriform and micropapillary tumors. How morphology reflects tumor evolution and disease progression is poorly understood. Whole-exome sequencing data generated from 805 primary tumor regions and 121 paired metastatic samples across 248 LUADs from the TRACERx 421 cohort, together with RNA-sequencing data from 463 primary tumor regions, were integrated with detailed whole-tumor and regional histopathological analysis. Tumors with predominantly high-grade patterns showed increased chromosomal complexity, with higher burden of loss of heterozygosity and subclonal somatic copy number alterations. Individual regions …

Myosin Light-Chain 4 Gene-Transfer Attenuates Atrial Fibrosis While Correcting Autophagic Flux Dysregulation, Yuan Zhong, Kai Tang, Stanley Nattel, Ming Zhai, Shiyu Gong, Qing Yu, Yanxi Zeng, Guangxi E, Nuerbiyemu Maimaitiaili, Jun Wang, Yawei Xu, Wenhui Peng, Hailing Li

Faculty, Staff and Student Publications

OBJECTIVES: To determine the role of MYL4 regulation of lysosomal function and its disturbance in fibrotic atrial cardiomyopathy.

BACKGROUND: We have previously demonstrated that the atrial-specific essential light chain protein MYL4 is required for atrial contractile, electrical, and structural integrity. MYL4 mutation/dysfunction leads to atrial fibrosis, standstill, and dysrhythmia. However, the underlying pathogenic mechanisms remain unclear.

METHODS AND RESULTS: Rats subjected to knock-in of a pathogenic MYL4 mutant (p.E11K) developed fibrotic atrial cardiomyopathy. Proteome analysis and single-cell RNA sequencing indicate enrichment of autophagy pathways in mutant-MYL4 atrial dysfunction. Immunofluorescence and electron microscopy revealed undegraded autophagic vesicles accumulated in MYL4

CONCLUSIONS: …

Autologous Stem Cell Transplantation For Patients With Multiple Myeloma With Translocation (4;14): The Md Anderson Cancer Center Experience, Oren Pasvolsky, Mahmoud R Gaballa, Denái R Milton, Adeel Masood, Sophiya S Sami, Mark R Tanner, Qaiser Bashir, Samer Srour, Neeraj Saini, Jeremy Ramdial, Yago Nieto, Guilin Tang, Pei Lin, Hans C Lee, Krina K Patel, Partow Kebriaei, Sheeba K Thomas, Donna M Weber, Robert Z Orlowski, Elizabeth J Shpall, Richard E Champlin, Muzaffar H Qazilbash

Faculty, Staff and Student Publications

Translocation between chromosomes 4 and 14, t(4;14), has been reported in 15% of patients with multiple myeloma (MM) and is considered a high-risk cytogenetic abnormality associated with inferior outcomes. Autologous hematopoietic stem cell transplantation (auto-HCT) is standard of care for patients with high-risk MM, yet there are scarce data on post-transplantation outcomes of patients with t(4;14) MM. The aim of the present study was to evaluate outcomes of MM patients with t(4;14) who underwent auto-HCT and received contemporary anti-myeloma agents for induction and post-transplantation maintenance. We conducted a retrospective analysis of MM patients with t(4;14), detected by fluorescence in situ …

Fear Of Recurrence, Emotional Well-Being And Quality Of Life Among Long-Term Advanced Ovarian Cancer Survivors, Kathryn Osann, Lari Wenzel, Chelsea Mckinney, Lynne Wagner, David Cella, Giulia Fulci, Mary J Scroggins, Heather A Lankes, Victoria Wang, Kenneth P Nephew, George L Maxwell, Samuel C Mok, Thomas P Conrads, Austin Miller, Michael Birrer

Faculty, Staff and Student Publications

OBJECTIVE: Although advanced stage epithelial ovarian cancer is widely considered life-threatening, 17% of women with advanced disease will survive long-term. Little is known about the health-related quality of life (QOL) of long-term ovarian cancer survivors, or how fear of recurrence might affect QOL.

METHODS: 58 long-term survivors with advanced disease participated in the study. Participants completed standardized questionnaires to capture cancer history, QOL, and fear of recurrent disease (FOR). Statistical analyses included multivariable linear models.

RESULTS: Participants averaged 52.8 years at diagnosis and had survived >8 years (mean:13.5); 64% had recurrent disease. Mean FACT-G, FACT-O, and FACT-O-TOI (TOI) scores were …

The Glycoprotein Cd147 Defines Mirna-Enriched Extracellular Vesicles That Derive From Cancer Cells, Song Yi Ko, Wonjae Lee, Melanie Weigert, Eric Jonasch, Ernst Lengyel, Honami Naora

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) are ideal for liquid biopsy, but distinguishing cancer cell‐derived EVs and subpopulations of biomarker‐containing EVs in body fluids has been challenging. Here, we identified that the glycoproteins CD147 and CD98 define subpopulations of EVs that are distinct from classical tetraspanin+ EVs in their biogenesis. Notably, we identified that CD147+ EVs have substantially higher microRNA (miRNA) content than tetraspanin+ EVs and are selectively enriched in miRNA through the interaction of CD147 with heterogeneous nuclear ribonucleoprotein A2/B1. Studies using mouse xenograft models showed that CD147+ EVs predominantly derive from cancer cells, whereas the majority of tetraspanin+ EVs are not …

Emerging Role Of Tak1 In The Regulation Of Skeletal Muscle Mass, Anirban Roy, Vihang A Narkar, Ashok Kumar

Faculty, Staff and Student Publications

Maintenance of skeletal muscle mass and strength throughout life is crucial for heathy living and longevity. Several signaling pathways have been implicated in the regulation of skeletal muscle mass in adults. TGF-β-activated kinase 1 (TAK1) is a key protein, which coordinates the activation of multiple signaling pathways. Recently, it was discovered that TAK1 is essential for the maintenance of skeletal muscle mass and myofiber hypertrophy following mechanical overload. Forced activation of TAK1 in skeletal muscle causes hypertrophy and attenuates denervation-induced muscle atrophy. TAK1-mediated signaling in skeletal muscle promotes protein synthesis, redox homeostasis, mitochondrial health, and integrity of neuromuscular junctions. In …

The Effect Of A Pharmaceutical Ghrelin Agonist On Lifespan In C57bl/6j Male Mice: A Controlled Experiment, Kathryn A Kaiser, Inga Kadish, Thomas Van Groen, Daniel L Smith, Stephanie Dickinson, Beate Henschel, Erik S Parker, Andrew W Brown, David B Allison

Children’s Nutrition Research Center Staff Publications

Interventions for animal lifespan extension like caloric restriction (CR) have identified physiologic and biochemical pathways related to hunger and energy-sensing status as possible contributors, but mechanisms have not been fully elucidated. Prior studies using ghrelin agonists show greater food intake but no effect on lifespan in rodent models. This experiment in male C57BL/6J mice tested the influence of ghrelin agonism for perceived hunger, in the absence of CR, on longevity. Mice aged 4 weeks were allowed to acclimate for 2 weeks prior to being assigned (N = 60/group). Prior to lights off daily (12:12 cycle), animals were fed a ghrelin …

Potentiation Of The Immune Checkpoint Blockade Response By Metabolic Modulation Is Predictable Using Molecular Imaging, Renee L. Chin

Dissertations and Theses (Open Access)

Unregulated cell division is a hallmark of cancer. The high metabolic needs of the tumor cells result in nutrient depletion and produce a hostile tumor microenvironment (TME) for antitumor immune cells, protecting the tumor from immune cell-mediated control and immunotherapy. Two of these environmental factors, acidosis and hypoxia, are commonly found in solid cancers. In my thesis, I posited that modulation of tumor acidosis and hypoxia can serve as biomarkers by indicating immunogenicity and tumor sensitivity to immune checkpoint blockade (ICB) as monitored using molecular imaging. Esomeprazole was found to promote tumor immunogenicity and induce tumor control when used to …

Associations Between Perceived Racial Discrimination, Racial Residential Segregation, And Cancer Screening Adherence Among Low-Income African Americans: A Multilevel, Cross-Sectional Analysis, Lynn N Ibekwe, Maria Eugenia Fernández-Esquer, Sandi L Pruitt, Nalini Ranjit, Maria E Fernández

Faculty, Staff and Student Publications

OBJECTIVES: African Americans suffer disproportionately from cancer compared to their White counterparts. Racism may be an important determinant, but the literature on its association with cancer screening is limited. We examine associations between racism and cancer screening among a sample of African Americans.

DESIGN: Guided by the Public Health Critical Race Praxis and the Behavioral Model of Health Services Use, we conducted a multilevel, cross-sectional study using cancer risk assessment data collected from 405 callers to the 2-1-1 Texas helpline. We merged these data with contextual data from the U.S. Census Bureau. We assessed perceived racial discrimination using the Experiences …

Accurate Detection Of Α-Synuclein Seeds In Cerebrospinal Fluid From Isolated Rapid Eye Movement Sleep Behavior Disorder And Patients With Parkinson's Disease In The Denovo Parkinson (Denopa) Cohort, Luis Concha-Marambio, Sandrina Weber, Carly M Farris, Mohammed Dakna, Elisabeth Lang, Tamara Wicke, Yihua Ma, Maritta Starke, Jens Ebentheuer, Friederike Sixel-Döring, Maria-Lucia Muntean, Sebastian Schade, Claudia Trenkwalder, Claudio Soto, Brit Mollenhauer

Faculty, Staff and Student Publications

BACKGROUND: Misfolded α-synuclein (αSyn) aggregates (αSyn-seeds) in cerebrospinal fluid (CSF) are biomarkers for synucleinopathies such as Parkinson's disease (PD). αSyn-seeds have been detected in prodromal cases with isolated rapid eye movement sleep behavior disorder (iRBD).

OBJECTIVES: The objective of this study was to determine the accuracy of the αSyn-seed amplification assay (αS-SAA) in a comprehensively characterized cohort with a high proportion of PD and iRBD CSF samples collected at baseline.

METHODS: We used a high-throughput αS-SAA to analyze 233 blinded CSF samples from 206 participants of the DeNovo Parkinson Cohort (DeNoPa) (113 de novo PD, 64 healthy controls, 29 iRBD …

Inequities In Telemedicine Use Among Patients With Stroke And Cerebrovascular Diseases: A Tricenter Cross-Sectional Study, Imama A. Naqvi, Audrey S Cohen, Youngran Kim, Jennifer Harris, Mary Carter Denny, Kevin Strobino, Nathan Bicher, Ryan A Leite, Dylan Sadowsky, Comfort Adegboye, Nnedinma Okpala, Munachi Okpala, Sean I Savitz, Randolph S Marshall, Anjail Sharrief

Faculty, Staff and Student Publications

BACKGROUND AND OBJECTIVES: In response to the COVID-19 pandemic, outpatient stroke care delivery was rapidly transformed to outpatient evaluation through video (VTM) and telephone (TPH) telemedicine (TM) visits around the world. We sought to evaluate the sociodemographic differences in outpatient TM use among stroke patients.

METHODS: We conducted a retrospective chart review of outpatients evaluated at 3 tertiary stroke centers in the early period of the pandemic, 3/16/2020 through 7/31/2020. We compared the use of TM by patient characteristics including age, sex, race/ethnicity, insurance status, stroke type, patient type, and site. The association between TM use and patient characteristics was …

Integrative Clinical And Genomic Characterization Of Mtap-Deficient Metastatic Urothelial Cancer, Omar Alhalabi, Yueting Zhu, Ameer Hamza, Wei Qiao, Yiyun Lin, Raymond M Wang, Amishi Y Shah, Matthew T Campbell, Vijaykumar Holla, Ashish Kamat, Wei-Lien Wang, Jennifer Wang, Jianfeng Chen, Jieru Meng, Miao Zhang, Jolanta Bondaruk, Mark Titus, Giannicola Genovese, Bogdan A Czerniak, Kenna R Shaw, Funda Meric-Bernstam, Charles C Guo, Christopher J Logothetis, Arlene Siefker-Radtke, Pavlos Msaouel, Linghua Wang, Jiyan Liu, Jianjun Gao

Faculty, Staff and Student Publications

Deficiency of MTAP (MTAPdef) mainly occurs because of homozygous loss of chromosome 9p21, which is the most common copy-number loss in metastatic urothelial cancer (mUC). We characterized the clinical and genomic features of MTAPdef mUC in 193 patients treated at MD Anderson Cancer Center (MDACC) and 298 patients from the phase 2 IMvigor210 trial, which investigated atezolizumab in cisplatin-ineligible and platinum-refractory disease. In the MDACC cohort, visceral metastases were significantly more common for MTAPdef (n = 48) than for MTAP-proficient (MTAPprof; n = 145) patients (75% vs 55.2%; p = 0.02). MTAPdef was associated with poor prognosis (median overall …

Three Distinct Transcriptional Profiles Of Monocytes Associate With Disease Activity In Scleroderma Patients, Hadijat-Kubura M Makinde, Julia L M Dunn, Gaurav Gadhvi, Mary Carns, Kathleen Aren, Anh H Chung, Lutfiyya N Muhammad, Jing Song, Carla M Cuda, Salina Dominguez, John E Pandolfino, Jane E Dematte D'Amico, G Scott Budinger, Shervin Assassi, Tracy M Frech, Dinesh Khanna, Alex Shaeffer, Harris Perlman, Monique Hinchcliff, Deborah R Winter

Faculty, Staff and Student Publications

Objective: Patients with diffuse cutaneous systemic sclerosis (dcSSc) display a complex clinical phenotype. Transcriptional profiling of whole blood or tissue from patients are affected by changes in cellular composition that drive gene expression and an inability to detect minority cell populations. We undertook this study to focus on the 2 main subtypes of circulating monocytes, classical monocytes (CMs) and nonclassical monocytes (NCMs) as a biomarker of SSc disease severity.

Methods: SSc patients were recruited from the Prospective Registry for Early Systemic Sclerosis. Clinical data were collected, as well as peripheral blood for isolation of CMs and NCMs. Age-, sex-, and …

An Antibody-Drug Conjugate Targeting Gpr56 Demonstrates Efficacy In Preclinical Models Of Colorectal Cancer, Joan Jacob, Liezl E Francisco, Treena Chatterjee, Zhengdong Liang, Shraddha Subramanian, Qingyun J Liu, Julie H Rowe, Kendra S Carmon

Faculty, Staff and Student Publications

Background: Long-term prognosis remains poor for colorectal cancer (CRC) patients with advanced disease due to treatment resistance. The identification of novel targets is essential for the development of new therapeutic approaches. GPR56, an adhesion GPCR, is highly expressed in CRC tumours and correlates with poor survival. Here, we describe the generation and preclinical evaluation of a novel ADC consisting of an anti-GPR56 antibody (10C7) conjugated with the DNA-damaging payload duocarmycin.

Methods: RNA-seq dataset analysis was performed to determine GPR56 expression in CRC subtypes. The specificity of binding, epitope mapping, and internalisation of 10C7 was examined. 10C7 was conjugated to payload …

Aerosolized Immunotherapeutic Nanoparticle Inhalation Potentiates Pd-L1 Blockade For Locally Advanced Lung Cancer, Yang Liu, William N Crowe, Lulu Wang, W Jeffrey Petty, Amyn A Habib, Dawen Zhao

Faculty, Staff and Student Publications

Despite therapeutic advancements, the prognosis of locally advanced non-small cell lung cancer (LANSCLC), which has invaded multiple lobes or the other lung and intrapulmonary lymph nodes, remains poor. The emergence of immunotherapy with immune checkpoint blockade (ICB) is transforming cancer treatment. However, only a fraction of lung cancer patients benefit from ICB. Significant clinical evidence suggests that the proinflammatory tumor microenvironment (TME) and programmed death-ligand 1 (PD-L1) expression correlate positively with response to the PD-1/PD-L1 blockade. We report here a liposomal nanoparticle loaded with cyclic dinucleotide and aerosolized (AeroNP-CDN) for inhalation delivery to deep-seated lung tumors and target CDN to …

The Impact Of Relapse Definition And Measures Of Durability On Ms Clinical Trial Outcomes, Sammita Satyanarayan, Gary Cutter, Stephen Krieger, Stacey Cofield, Jerry S Wolinsky, Fred Lublin

Faculty, Staff and Student Publications

Background: Definitions of trial measures are consequential to accurately capturing outcomes and cross-trial comparability, particularly for derivative measures.

Objective: Using CombiRx, examine the impact of relapse definition on endpoints and evaluate the durability of progression measures in Relapsing Remitting Multiple Sclerosis (RRMS).

Methods: CombiRx relapse types were distinguished by the presence or timing of Expanded Disability Status Scale (EDSS) increase. Using the broadest definition of relapse, progression endpoints were assessed in patients without relapses on trial. Durability compared EDSS at study end and time of worsening.

Results: Broadening relapse definition to the most inclusive definition increased annualized relapse rate (ARR) …

Sensing Fear: Fast And Precise Threat Evaluation In Human Sensory Cortex, Wen Li, Andreas Keil

Faculty, Staff and Student Publications

Animal models of threat processing have evolved beyond the amygdala to incorporate a distributed neural network. In human research, evidence has intensified in recent years to challenge the canonical threat circuitry centered on the amygdala, urging revision of threat conceptualization. A strong surge of research into threat processing in the sensory cortex in the past decade has generated particularly useful insights to inform the reconceptualization. Here, synthesizing findings from both animal and human research, we highlight sensitive, specific, and adaptable threat representations in the sensory cortex, arising from experience-based sculpting of sensory coding networks. We thus propose that the human …