Medical Specialties Commons^™

Smoking Cessation After Initial Treatment Failure With Varenicline Or Nicotine Replacement: A Randomized Clinical Trial, Paul M Cinciripini, Charles E Green, Sanjay Shete, Jennifer A Minnix, Jason D Robinson, Yong Cui, Seokhun Kim, George Kypriotakis, Diane Beneventi, Janice A Blalock, Francesco Versace, Maher Karam-Hage

Faculty, Staff and Student Publications

Importance: Most people who smoke do not quit on their initial attempt.

Objective: To determine the best subsequent strategy for nonabstinence following initial treatment with varenicline or combined nicotine replacement therapy (CNRT).

Design, setting, and participants: Using a double-blind, placebo-controlled, sequential multiple assignment randomized trial, 490 volunteers were randomized to receive 6 weeks of varenicline or CNRT. After 6 weeks, nonabstainers were rerandomized to continue, switch, or increase medication dosage for 6 additional weeks. The study was conducted from June 2015 through October 2019 in a Texas tobacco treatment clinic.

Interventions: The initial treatment was 2 mg/d of varenicline or …

Validation Of Human Telomere Length Multi-Ancestry Meta-Analysis Association Signals Identifies Pop5 And Kbtbd6 As Human Telomere Length Regulation Genes, Rebecca Keener, Surya B Chhetri, Carla J Connelly, Margaret A Taub, Matthew P Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, Paul L Auer, Lucas Barwick, Lewis C Becker, John Blangero, Eugene R Bleecker, Jennifer A Brody, Brian E Cade, Juan C Celedon, Yi-Cheng Chang, L Adrienne Cupples, Brian Custer, Barry I Freedman, Mark T Gladwin, Susan R Heckbert, Lifang Hou, Marguerite R Irvin, Carmen R Isasi, Jill M Johnsen, Eimear E Kenny, Charles Kooperberg, Ryan L Minster, Take Naseri, Satupa'itea Viali, Sergei Nekhai, Nathan Pankratz, Patricia A Peyser, Kent D Taylor, Marilyn J Telen, Baojun Wu, Lisa R Yanek, Ivana V Yang, Christine Albert, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, Joshua C Bis, Thomas W Blackwell, Eric Boerwinkle, Esteban G Burchard, April P Carson, Zhanghua Chen, Yii-Der Ida Chen, Dawood Darbar, Mariza De Andrade, Patrick T Ellinor, Myriam Fornage, Bruce D Gelb, Frank D Gilliland, Jiang He, Talat Islam, Stefan Kaab, Sharon L R Kardia, Shannon Kelly, Barbara A Konkle, Rajesh Kumar, Ruth J F Loos, Fernando D Martinez, Stephen T Mcgarvey, Deborah A Meyers, Braxton D Mitchell, Courtney G Montgomery, Kari E North, Nicholette D Palmer, Juan M Peralta, Benjamin A Raby, Susan Redline, Stephen S Rich, Dan Roden, Jerome I Rotter, Ingo Ruczinski, David Schwartz, Frank Sciurba, M Benjamin Shoemaker, Edwin K Silverman, Moritz F Sinner, Nicholas L Smith, Albert V Smith, Hemant K Tiwari, Ramachandran S Vasan, Scott T Weiss, L Keoki Williams, Yingze Zhang, Elad Ziv, Laura M Raffield, Alexander P Reiner, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Topmed Hematology And Hemostasis Working Group, Topmed Structural Variation Working Group, Marios Arvanitis, Carol W Greider, Rasika A Mathias, Alexis Battle

Faculty, Staff and Student Publications

Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of …

Profiling Complex Repeat Expansions In Rfc1 In Parkinson’S Disease, Pilar Alvarez Jerez, Kensuke Daida, Abigail Miano-Burkhardt, Hirotaka Iwaki, Laksh Malik, Guillaume Cogan, Mary B Makarious, Roisin Sullivan, Jana Vandrovcova, Jinhui Ding, J Raphael Gibbs, Androo Markham, Mike A Nalls, Rupesh K Kesharwani, Fritz J Sedlazeck, Bradford Casey, John Hardy, Henry Houlden, Cornelis Blauwendraat, Andrew B Singleton, Kimberley J Billingsley

Faculty, Staff and Students Publications

A biallelic (AAGGG) expansion in the poly(A) tail of an AluSx3 transposable element within the gene RFC1 is a frequent cause of cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS), and more recently, has been reported as a rare cause of Parkinson's disease (PD) in the Finnish population. Here, we investigate the prevalence of RFC1 (AAGGG) expansions in PD patients of non-Finnish European ancestry in 1609 individuals from the Parkinson's Progression Markers Initiative study. We identified four PD patients carrying the biallelic RFC1 (AAGGG) expansion and did not identify any carriers in controls.

Gte: A Graph Learning Framework For Prediction Of T-Cell Receptors And Epitopes Binding Specificity, Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang

Faculty, Staff and Student Publications

The interaction between T-cell receptors (TCRs) and peptides (epitopes) presented by major histocompatibility complex molecules (MHC) is fundamental to the immune response. Accurate prediction of TCR–epitope interactions is crucial for advancing the understanding of various diseases and their prevention and treatment. Existing methods primarily rely on sequence-based approaches, overlooking the inherent topology structure of TCR–epitope interaction networks. In this study, we present , a novel heterogeneous Graph neural network model based on inductive learning to capture the topological structure between TCRs and Epitopes. Furthermore, we address the challenge of constructing negative samples within the graph by proposing a dynamic edge …

Pancreatic Cancer And Venous Thromboembolism, Teagan Prouse, Mohammad A. Mohammad, Sonali Ghosh, Narender Kumar, Ma Lorena Duhaylungsod, Rinku Majumder, Samarpan Majumder

School of Graduate Studies Faculty Publications

Pancreatic ductal adenocarcinoma (PDAC) accounts for more than 90% of all pancreatic cancers and is the most fatal of all cancers. The treatment response from combination chemotherapies is far from satisfactory and surgery remains the mainstay of curative strategies. These challenges warrant identifying effective treatments for combating this deadly cancer. PDAC tumor progression is associated with the robust activation of the coagulation system. Notably, cancer-associated thrombosis (CAT) is a significant risk factor in PDAC. CAT is a concept whereby cancer cells promote thromboembolism, primarily venous thromboembolism (VTE). Of all cancer types, PDAC is associated with the highest risk of developing …

Androgen Deprivation Induces Neuroendocrine Phenotypes In Prostate Cancer Cells Through Creb1/Ezh2-Mediated Downregulation Of Rest, Dayong Zheng, Yan Zhang, Sukjin Yang, Ning Su, Michael Bakhoum, Guoliang Zhang, Samira Naderinezhad, Zhengmei Mao, Zheng Wang, Ting Zhou, Wenliang Li

Faculty, Staff and Student Publications

Although effective initially, prolonged androgen deprivation therapy (ADT) promotes neuroendocrine differentiation (NED) and prostate cancer (PCa) progression. It is incompletely understood how ADT transcriptionally induces NE genes in PCa cells. CREB1 and REST are known to positively and negatively regulate neuronal gene expression in the brain, respectively. No direct link between these two master neuronal regulators has been elucidated in the NED of PCa. We show that REST mRNA is downregulated in NEPC cell and mouse models, as well as in patient samples. Phenotypically, REST overexpression increases ADT sensitivity, represses NE genes, inhibits colony formation in culture, and xenograft tumor …

Photochemical And Biological Dual-Effects Enhance The Inhibition Of Photosensitizers For Tumour Growth, Huiyu Niu, Yang Liu, Yafu Wang, Yonggang Yang, Ge Wang, Tony D James, Jonathan L Sessler, Hua Zhang

Faculty, Staff and Student Publications

Photosensitizers typically rely on a singular photochemical reaction to generate reactive oxygen species, which can then inhibit or eradicate lesions. However, photosensitizers often exhibit limited therapeutic efficiency due to their reliance on a single photochemical effect. Herein, we propose a new strategy that integrates the photochemical effect (type-I photochemical effect) with a biological effect (proton sponge effect). To test our strategy, we designed a series of photosensitizers (ZZ-sers) based on the naphthalimide molecule. ZZ-sers incorporate both a p-toluenesulfonyl moiety and weakly basic groups to activate the proton sponge effect while simultaneously strengthening the type-I photochemical effect, resulting in enhanced …

Lacl3-Based Sodium Halide Solid Electrolytes With High Ionic Conductivity For All-Solid-State Batteries, Chengyu Fu, Yifan Li, Wenjie Xu, Xuyong Feng, Weijian Gu, Jue Liu, Wenwen Deng, Wei Wang, A M Milinda Abeykoon, Laisuo Su, Lingyun Zhu, Xiaojun Wu, Hongfa Xiang

Faculty, Staff and Student Publications

To enable high performance of all solid-state batteries, a catholyte should demonstrate high ionic conductivity, good compressibility and oxidative stability. Here, a LaCl3-based Na+ superionic conductor (Na1−xZrxLa1−xCl4) with high ionic conductivity of 2.9 × 10−4 S cm−1 (30 °C), good compressibility and high oxidative potential (3.80 V vs. Na2Sn) is prepared via solid state reaction combining mechanochemical method. X-ray diffraction reveals a hexagonal structure (P63/m) of Na1−xZrxLa1−xCl4, with Na+ ions forming a one-dimensional diffusion channel along the c-axis. First-principle calculations combining with …

An Unexpected Path For Malat1 In Neurons: Trafficking Out Of The Nucleus For Translation, Bradley W Wright, Jeremy E Wilusz

Faculty, Staff and Students Publications

The Malat1 (metastasis-associated lung adenocarcinoma transcript 1) long noncoding RNA is highly and broadly expressed in mammalian tissues, accumulating in the nucleus where it modulates expression and pre-mRNA processing of many protein-coding genes. In this issue of Genes & Development, Xiao and colleagues (doi:10.1101/gad.351557.124) report that a significant fraction of Malat1 transcripts in cultured mouse neurons are surprisingly exported from the nucleus. These transcripts are packaged with Staufen proteins in RNA granules and traffic down the lengths of neurites. They then can be released in a stimulus-dependent manner to be locally translated into a microprotein that alters neuronal gene …

Empowering Personalized Pharmacogenomics With Generative Ai Solutions, Mullai Murugan, Bo Yuan, Eric Venner, Christie M Ballantyne, Katherine M Robinson, James C Coons, Liwen Wang, Philip E Empey, Richard A Gibbs

Faculty, Staff and Students Publications

Objective: This study evaluates an AI assistant developed using OpenAI's GPT-4 for interpreting pharmacogenomic (PGx) testing results, aiming to improve decision-making and knowledge sharing in clinical genetics and to enhance patient care with equitable access.

Materials and methods: The AI assistant employs retrieval-augmented generation (RAG), which combines retrieval and generative techniques, by harnessing a knowledge base (KB) that comprises data from the Clinical Pharmacogenetics Implementation Consortium (CPIC). It uses context-aware GPT-4 to generate tailored responses to user queries from this KB, further refined through prompt engineering and guardrails.

Results: Evaluated against a specialized PGx question catalog, the AI assistant showed …

Dynamic Visual Acuity, Vestibulo-Ocular Reflex, And Visual Field In National Football League (Nfl) Officiating: Physiology And Visualization Engineering For 3d Virtual On-Field Training, Joshua Ong, Nicole V Carrabba, Ethan Waisberg, Nasif Zaman, Hamza Memon, Nicholas Panzo, Virginia A Lee, Prithul Sarker, Ashtyn Z Vogt, Noor Laylani, Alireza Tavakkoli, Andrew G Lee

Faculty, Staff and Student Publications

The ability to make on-field, split-second decisions is critical for National Football League (NFL) game officials. Multiple principles in visual function are critical for accuracy and precision of these play calls, including foveation time and unobstructed line of sight, static visual acuity, dynamic visual acuity, vestibulo-ocular reflex, and sufficient visual field. Prior research has shown that a standardized curriculum in these neuro-ophthalmic principles have demonstrated validity and self-rated improvements in understanding, confidence, and likelihood of future utilization by NFL game officials to maximize visual performance during officiating. Virtual reality technology may also be able to help optimize understandings of specific …

Unraveling Etc Complex I Function In Ferroptosis Reveals A Potential Ferroptosis-Inducing Therapeutic Strategy For Lkb1-Deficient Cancers, Chao Mao, Guang Lei, Amber Horbath, Min Wang, Zhengze Lu, Yuelong Yan, Xiaoguang Liu, Lavanya Kondiparthi, Xiong Chen, Jun Cheng, Qidong Li, Zhihao Xu, Li Zhuang, Bingliang Fang, Joseph R Marszalek, Masha V Poyurovsky, Kellen Olszewski, Boyi Gan

Faculty, Staff and Student Publications

The role of the mitochondrial electron transport chain (ETC) in regulating ferroptosis is not fully elucidated. Here, we reveal that pharmacological inhibition of the ETC complex I reduces ubiquinol levels while decreasing ATP levels and activating AMP-activated protein kinase (AMPK), the two effects known for their roles in promoting and suppressing ferroptosis, respectively. Consequently, the impact of complex I inhibitors on ferroptosis induced by glutathione peroxidase 4 (GPX4) inhibition is limited. The pharmacological inhibition of complex I in LKB1-AMPK-inactivated cells, or genetic ablation of complex I (which does not trigger apparent AMPK activation), abrogates the AMPK-mediated ferroptosis-suppressive effect and sensitizes …

Enhancer Switching In Cell Lineage Priming Is Linked To Erna, Brg1’S At-Hook, And Swi/Snf Recruitment, Dhurjhoti Saha, Srinivas Animireddy, Junwoo Lee, Anna Thommen, Mckenzie M Murvin, Yue Lu, J Mauro Calabrese, Blaine Bartholomew

Faculty, Staff and Student Publications

RNA transcribed from enhancers, i.e., eRNA, has been suggested to directly activate transcription by recruiting transcription factors and co-activators. Although there have been specific examples of eRNA functioning in this way, it is not clear how general this may be. We find that the AT-hook of SWI/SNF preferentially binds RNA and, as part of the esBAF complex, associates with eRNA transcribed from intronic and intergenic regions. Our data suggest that SWI/SNF is globally recruited in cis by eRNA to cell-type-specific enhancers, representative of two distinct stages that mimic early mammalian development, and not at enhancers that are shared between the …

Brg1/Brm Inhibitor Targets Aml Stem Cells And Exerts Superior Preclinical Efficacy Combined With Bet Or Menin Inhibitor, Warren Fiskus, Jessica Piel, Mike Collins, Murphy Hentemann, Branko Cuglievan, Christopher P Mill, Christine E Birdwell, Kaberi Das, John A Davis, Hanxi Hou, Antrix Jain, Anna Malovannaya, Tapan M Kadia, Naval Daver, Koji Sasaki, Koichi Takahashi, Danielle Hammond, Patrick K Reville, Jian Wang, Sanam Loghavi, Rwik Sen, Xinjia Ruan, Xiaoping Su, Lauren B Flores, Courtney D Dinardo, Kapil N Bhalla

Faculty, Staff and Student Publications

BRG1 (SMARCA4) and BRM (SMARCA2) are the mutually exclusive core ATPases of the chromatin remodeling BAF (BRG1/BRM-associated factor) complexes. They enable transcription factors/cofactors to access enhancers/promoter and modulate gene expressions responsible for cell growth and differentiation of acute myeloid leukemia (AML) stem/progenitor cells. In AML with MLL1 rearrangement (MLL1r) or mutant NPM1 (mtNPM1), although menin inhibitor (MI) treatment induces clinical remissions, most patients either fail to respond or relapse, some harboring menin mutations. FHD-286 is an orally bioavailable, selective inhibitor of BRG1/BRM under clinical development in AML. Present studies show that FHD-286 induces differentiation and lethality in AML cells with …

Localization Of Rnas To The Mitochondria-Mechanisms And Functions, Surbhi Sharma, Furqan M Fazal

Faculty, Staff and Students Publications

The mammalian mitochondrial proteome comprises over 1000 proteins, with the majority translated from nuclear-encoded messenger RNAs (mRNAs). Mounting evidence suggests many of these mRNAs are localized to the outer mitochondrial membrane (OMM) in a pre- or cotranslational state. Upon reaching the mitochondrial surface, these mRNAs are locally translated to produce proteins that are cotranslationally imported into mitochondria. Here, we summarize various mechanisms cells use to localize RNAs, including transfer RNAs (tRNAs), to the OMM and recent technological advancements in the field to study these processes. While most early studies in the field were carried out in yeast, recent studies reveal …

Accelerated Somatic Mutation Calling For Whole-Genome And Whole-Exome Sequencing Data From Heterogenous Tumor Samples, Shuangxi Ji, Tong Zhu, Ankit Sethia, Wenyi Wang

Faculty, Staff and Student Publications

Accurate detection of somatic mutations in DNA sequencing data is a fundamental prerequisite for cancer research. Previous analytical challenges were overcome by consensus mutation calling from four to five popular callers. This, however, increases the already nontrivial computing time from individual callers. Here, we launch MuSE 2, powered by multistep parallelization and efficient memory allocation, to resolve the computing time bottleneck. MuSE 2 speeds up 50 times more than MuSE 1 and eight to 80 times more than other popular callers. Our benchmark study suggests combining MuSE 2 and the recently accelerated Strelka2 achieves high efficiency and accuracy in analyzing …

A Gold Standard-Derived Modular Barcoding Approach To Cancer Transcriptomics, Yan Zhu, Mohamad Karim I Koleilat, Jason Roszik, Man Kam Kwong, Zhonglin Wang, Dipen M Maru, Scott Kopetz, Lawrence N Kwong

Faculty, Staff and Student Publications

A challenge with studying cancer transcriptomes is in distilling the wealth of information down into manageable portions of information. In this resource, we develop an approach that creates and assembles cancer type-specific gene expression modules into flexible barcodes, allowing for adaptation to a wide variety of uses. Specifically, we propose that modules derived organically from high-quality gold standards such as The Cancer Genome Atlas (TCGA) can accurately capture and describe functionally related genes that are relevant to specific cancer types. We show that such modules can: (1) uncover novel gene relationships and nominate new functional memberships, (2) improve and speed …

Transcriptomic Profiling Of Plasma Extracellular Vesicles Enables Reliable Annotation Of The Cancer-Specific Transcriptome And Molecular Subtype, Vahid Bahrambeigi, Jaewon J Lee, Vittorio Branchi, Kimal I Rajapakshe, Zhichao Xu, Naishu Kui, Jason T Henry, Wang Kun, Bret M Stephens, Sarah Dhebat, Mark W Hurd, Ryan Sun, Peng Yang, Eytan Ruppin, Wenyi Wang, Scott Kopetz, Anirban Maitra, Paola A Guerrero

Faculty, Staff and Student Publications

Longitudinal monitoring of patients with advanced cancers is crucial to evaluate both disease burden and treatment response. Current liquid biopsy approaches mostly rely on the detection of DNA-based biomarkers. However, plasma RNA analysis can unleash tremendous opportunities for tumor state interrogation and molecular subtyping. Through the application of deep learning algorithms to the deconvolved transcriptomes of RNA within plasma extracellular vesicles (evRNA), we successfully predicted consensus molecular subtypes in patients with metastatic colorectal cancer. Analysis of plasma evRNA also enabled monitoring of changes in transcriptomic subtype under treatment selection pressure and identification of molecular pathways associated with recurrence. This approach …

Targeting Ccl2/Ccr2 Signaling Overcomes Mek Inhibitor Resistance In Acute Myeloid Leukemia, Rucha V Modak, Katia G De Oliveira Rebola, John Mcclatchy, Mona Mohammadhosseini, Alisa Damnernsawad, Stephen E Kurtz, Christopher A Eide, Guanming Wu, Ted Laderas, Tamilla Nechiporuk, Marina A Gritsenko, Joshua R Hansen, Chelsea Hutchinson, Sara J C Gosline, Paul Piehowski, Daniel Bottomly, Nicholas Short, Karin Rodland, Shannon K Mcweeney, Jeffrey W Tyner, Anupriya Agarwal

Faculty, Staff and Student Publications

Purpose: Emerging evidence underscores the critical role of extrinsic factors within the microenvironment in protecting leukemia cells from therapeutic interventions, driving disease progression, and promoting drug resistance in acute myeloid leukemia (AML). This finding emphasizes the need for the identification of targeted therapies that inhibit intrinsic and extrinsic signaling to overcome drug resistance in AML.

Experimental design: We performed a comprehensive analysis utilizing a cohort of ∼300 AML patient samples. This analysis encompassed the evaluation of secreted cytokines/growth factors, gene expression, and ex vivo drug sensitivity to small molecules. Our investigation pinpointed a notable association between elevated levels of CCL2 …

Stellae-123 Gene Expression Signature Improved Risk Stratification In Taiwanese Acute Myeloid Leukemia Patients, Yu-Hung Wang, Adrián Mosquera Orgueira, Chien-Chin Lin, Chi-Yuan Yao, Min-Yen Lo, Cheng-Hong Tsai, Adolfo De La Fuente Burguera, Hsin-An Hou, Wen-Chien Chou, Hwei-Fang Tien

Faculty, Staff and Student Publications

The European Leukemia Net recommendations provide valuable guidance in treatment decisions of patients with acute myeloid leukemia (AML). However, the genetic complexity and heterogeneity of AML are not fully covered, notwithstanding that gene expression analysis is crucial in the risk stratification of AML. The Stellae-123 score, an AI-based model that captures gene expression patterns, has demonstrated robust survival predictions in AML patients across four western-population cohorts. This study aims to evaluate the applicability of Stellae-123 in a Taiwanese cohort. The Stellae-123 model was applied to 304 de novo AML patients diagnosed and treated at the National Taiwan University Hospital. We …

The Crosstalk Between Macrophages And Cancer Cells Potentiates Pancreatic Cancer Cachexia, Mingyang Liu, Yu Ren, Zhijun Zhou, Jingxuan Yang, Xiuhui Shi, Yang Cai, Alex X Arreola, Wenyi Luo, Kar-Ming Fung, Chao Xu, Ryan D Nipp, Michael S Bronze, Lei Zheng, Yi-Ping Li, Courtney W Houchen, Yuqing Zhang, Min Li

Faculty, Staff and Student Publications

With limited treatment options, cachexia remains a major challenge for patients with cancer. Characterizing the interplay between tumor cells and the immune microenvironment may help identify potential therapeutic targets for cancer cachexia. Herein, we investigate the critical role of macrophages in potentiating pancreatic cancer induced muscle wasting via promoting TWEAK (TNF-like weak inducer of apoptosis) secretion from the tumor. Specifically, depletion of macrophages reverses muscle degradation induced by tumor cells. Macrophages induce non-autonomous secretion of TWEAK through CCL5/TRAF6/NF-κB pathway. TWEAK promotes muscle atrophy by activating MuRF1 initiated muscle remodeling. Notably, tumor cells recruit and reprogram macrophages via the CCL2/CCR2 axis …

Impact Of Renal Cell Carcinoma Molecular Subtypes On Immunotherapy And Targeted Therapy Outcomes, Renée Maria Saliby, Chris Labaki, Tejas R Jammihal, Wanling Xie, Maxine Sun, Valisha Shah, Eddy Saad, M Harry Kane, Soki Kashima, Katherine Sadak, Talal El Zarif, Deepak Poduval, Robert J Motzer, Thomas Powles, Brian I Rini, Laurence Albiges, Sumanta K Pal, Bradley A Mcgregor, Rana R Mckay, Sabina Signoretti, Eliezer M Van Allen, Sachet A Shukla, Toni K Choueiri, David A Braun

Faculty, Staff and Student Publications

Saliby et al. show that a machine learning approach can accurately classify clear cell renal cell carcinoma (RCC) into distinct molecular subtypes using transcriptomic data. When applied to tumors biospecimens from the JAVELIN Renal 101 (JR101) trial, a benefit is observed with immune checkpoint inhibitor (ICI)-based therapy across all molecular subtypes.

Regulation Of Cerebral Blood Flow Boosts Precise Brain Targeting Of Vinpocetine-Derived Ionizable-Lipidoid Nanoparticles, Xufei Bian, Ling Yang, Dingxi Jiang, Adam J Grippin, Yifan Ma, Shuang Wu, Linchong Wu, Xiaoyou Wang, Zhongjie Tang, Kaicheng Tang, Weidong Pan, Shiyan Dong, Betty Y S Kim, Wen Jiang, Zhaogang Yang, Chong Li

Faculty, Staff and Student Publications

Despite advances in active drug targeting for blood-brain barrier penetration, two key challenges persist: first, attachment of a targeting ligand to the drug or drug carrier does not enhance its brain biodistribution; and second, many brain diseases are intricately linked to microcirculation disorders that significantly impede drug accumulation within brain lesions even after they cross the barrier. Inspired by the neuroprotective properties of vinpocetine, which regulates cerebral blood flow, we propose a molecular library design centered on this class of cyclic tertiary amine compounds and develop a self-enhanced brain-targeted nucleic acid delivery system. Our findings reveal that: (i) vinpocetine-derived ionizable-lipidoid …

Inotuzumab Ozogamicin For The Treatment Of Adult Acute Lymphoblastic Leukemia: Past Progress, Current Research And Future Directions, Nicholas J Short, Elias Jabbour, Nitin Jain, Hagop Kantarjian

Faculty, Staff and Student Publications

Inotuzumab ozogamicin (INO) is an anti-CD22 antibody-drug conjugate that was first evaluated in B-cell lymphomas but was subsequently shown to be highly effective in acute lymphoblastic leukemia (ALL). INO improved response rates and survival in a randomized study in adults with relapsed/refractory B-cell ALL, leading to its regulatory approval in the United States in 2017. While the formal approval for INO is as monotherapy in relapsed/refractory ALL, subsequent studies with INO administered in combination with chemotherapy and/or blinatumomab both in the frontline and salvage settings have yielded promising results. In this review, we discuss the clinical development of INO in …

The Greenbeard Gene Tgrb1 Regulates Altruism And Cheating In Dictyostelium Discoideum, Mariko Katoh-Kurasawa, Peter Lehmann, Gad Shaulsky

Faculty, Staff and Students Publications

Greenbeard genetic elements encode rare perceptible signals, signal recognition ability, and altruism towards others that display the same signal. Putative greenbeards have been described in various organisms but direct evidence for all the properties in one system is scarce. The tgrB1-tgrC1 allorecognition system of Dictyostelium discoideum encodes two polymorphic membrane proteins which protect cells from chimerism-associated perils. During development, TgrC1 functions as a ligand-signal and TgrB1 as its receptor, but evidence for altruism has been indirect. Here, we show that mixing wild-type and activated tgrB1 cells increases wild-type spore production and relegates the mutants to the altruistic stalk, whereas mixing …

Clinical, Genetic, And Cognitive Correlates Of Seizure Occurrences In Phelan-Mcdermid Syndrome, Tess Levy, Jacob Gluckman, Paige M Siper, Danielle Halpern, Jessica Zweifach, Rajna Filip-Dhima, J Lloyd Holder, M Pilar Trelles, Kristina Johnson, Jonathan A Bernstein, Elizabeth Berry-Kravis, Craig M Powell, Latha Valluripalli Soorya, Audrey Thurm, Joseph D Buxbaum, Mustafa Sahin, Alexander Kolevzon, Siddharth Srivastava

Duncan NRI Faculty and Staff Publications

Background: Phelan-McDermid syndrome (PMS) is a genetic neurodevelopmental disorder caused by SHANK3 haploinsufficiency and is associated with an increased risk for seizures. Previous literature indicates that around one third of individuals with PMS also have epilepsy or seizures, with a wide range of types and ages of onset. Investigating the impact of seizures on intellectual and adaptive functioning for PMS is a primary concern for caregivers and is important to understanding the natural history of this syndrome.

Methods: We report on results from 98 individuals enrolled in a prospective, longitudinal study. We detailed seizure frequency, type, and age of onset, …

Mustang: Multi-Sample Spatial Transcriptomics Data Analysis With Cross-Sample Transcriptional Similarity Guidance, Seyednami Niyakan, Jianting Sheng, Yuliang Cao, Xiang Zhang, Zhan Xu, Ling Wu, Stephen T C Wong, Xiaoning Qian

Faculty, Staff and Students Publications

Spatially resolved transcriptomics has revolutionized genome-scale transcriptomic profiling by providing high-resolution characterization of transcriptional patterns. Here, we present our spatial transcriptomics analysis framework, MUSTANG (MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance), which is capable of performing multi-sample spatial transcriptomics spot cellular deconvolution by allowing both cross-sample expression-based similarity information sharing as well as spatial correlation in gene expression patterns within samples. Experiments on a semi-synthetic spatial transcriptomics dataset and three real-world spatial transcriptomics datasets demonstrate the effectiveness of MUSTANG in revealing biological insights inherent in the cellular characterization of tissue samples under study.

Phenome-Wide Identification Of Therapeutic Genetic Targets, Leveraging Knowledge Graphs, Graph Neural Networks, And Uk Biobank Data, Lawrence Middleton, Ioannis Melas, Chirag Vasavda, Arwa Raies, Benedek Rozemberczki, Ryan S Dhindsa, Justin S Dhindsa, Blake Weido, Quanli Wang, Andrew R Harper, Gavin Edwards, Slavé Petrovski, Dimitrios Vitsios

Faculty, Staff and Students Publications

The ongoing expansion of human genomic datasets propels therapeutic target identification; however, extracting gene-disease associations from gene annotations remains challenging. Here, we introduce Mantis-ML 2.0, a framework integrating AstraZeneca's Biological Insights Knowledge Graph and numerous tabular datasets, to assess gene-disease probabilities throughout the phenome. We use graph neural networks, capturing the graph's holistic structure, and train them on hundreds of balanced datasets via a robust semi-supervised learning framework to provide gene-disease probabilities across the human exome. Mantis-ML 2.0 incorporates natural language processing to automate disease-relevant feature selection for thousands of diseases. The enhanced models demonstrate a 6.9% average classification power …

Clinical Significance Of Pno1 As A Novel Biomarker And Therapeutic Target Of Hepatocellular Carcinoma, Sanjit K. Roy, Shivam Srivastava, Caroline Mccance, Anju Shrivastava, Jason Morvant, Sharmila Shankar, Rakesh K. Srivastava

School of Medicine Faculty Publications

The RNA-binding protein PNO1 plays an essential role in ribosome biogenesis. Recent studies have shown that it is involved in tumorigenesis; however, its role in hepatocellular carcinoma (HCC) is not well understood. The purpose of this study was to examine whether PNO1 can be used as a biomarker of HCC and also examine the therapeutic potential of PNO1 knockout for the treatment of HCC. PNO1 expression was upregulated in HCC and associated with poor prognosis. PNO1 expression was positively associated with tumour stage, lymph node metastasis and poor survival. PNO1 expression was significantly higher in HCC compared to that in …

Casi: A Framework For Cross-Timepoint Analysis Of Single-Cell Rna Sequencing Data, Yizhuo Wang, Christopher R Flowers, Michael Wang, Xuelin Huang, Ziyi Li

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) technology has been widely used to study the differences in gene expression at the single cell level, providing insights into the research of cell development, differentiation, and functional heterogeneity. Various pipelines and workflows of scRNA-seq analysis have been developed but few considered multi-timepoint data specifically. In this study, we develop CASi, a comprehensive framework for analyzing multiple timepoints' scRNA-seq data, which provides users with: (1) cross-timepoint cell annotation, (2) detection of potentially novel cell types emerged over time, (3) visualization of cell population evolution, and (4) identification of temporal differentially expressed genes (tDEGs). Through comprehensive simulation …