Digital Commons Network^™

Mapping The Metabolic Reprogramming Induced By Sodium-Glucose Cotransporter 2 Inhibition, Aviram Kogot-Levin, Yael Riahi, Ifat Abramovich, Ofri Mosenzon, Bella Agranovich, Liat Kadosh, Rachel Ben-Haroush Schyr, Doron Kleiman, Liad Hinden, Erol Cerasi, Danny Ben-Zvi, Ernesto Bernal-Mizrachi, Joseph Tam, Eyal Gottlieb, Gil Leibowitz

Faculty, Staff and Student Publications

Diabetes is associated with increased risk for kidney disease, heart failure, and mortality. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) prevent these adverse outcomes; however, the mechanisms involved are not clear. We generated a roadmap of the metabolic alterations that occur in different organs in diabetes and in response to SGLT2i. In vivo metabolic labeling with 13C-glucose in normoglycemic and diabetic mice treated with or without dapagliflozin, followed by metabolomics and metabolic flux analyses, showed that, in diabetes, glycolysis and glucose oxidation are impaired in the kidney, liver, and heart. Treatment with dapagliflozin failed to rescue glycolysis. SGLT2 inhibition increased glucose oxidation …

A Dynamic Risk Model For Multitype Recurrent Events, Alokananda Ghosh, Wenyaw Chan, Naji Younes, Barry R Davis

Faculty, Staff and Student Publications

Recurrent events can occur more than once in the same individual; such events may be of different types, known as multitype recurrent events. They are very common in longitudinal studies. Often there is a terminating event, after which no further events can occur. The risk of any event, including terminating events such as death or cure, is typically affected by prior events. We propose a flexible joint multitype recurrent-events model that explicitly provides estimates of the change in risk for each event due to subject characteristics, including number and type of prior events and the absolute risk for every event …

Comprehensive Proteomics And Platform Validation Of Urinary Biomarkers For Bladder Cancer Diagnosis And Staging, Kamala Vanarsa, Jessica Castillo, Long Wang, Kyung Hyun Lee, Claudia Pedroza, Yair Lotan, Chandra Mohan

Faculty, Staff and Student Publications

BACKGROUND: Bladder cancer (BC) is among the most common cancers diagnosed in men in the USA. The current gold standards for the diagnosis of BC are invasive or lack the sensitivity to correctly identify the disease.

METHODS: An aptamer-based screen analyzed the expression of 1317 proteins in BC compared to urology clinic controls. The top hits were subjected to systems biology analyses. Next, 30 urine proteins were ELISA-validated in an independent cohort of 68 subjects. Three of these proteins were next validated in an independent BC cohort of differing ethnicity.

RESULTS: Systems biology analysis implicated molecular functions related to the …

Evaluation Of Focal Adhesion Mediated Subcellular Curvature Sensing In Response To Engineered Extracellular Matrix, Daniel T Bowers, Mary Elizabeth Mcculloch, Justin L Brown

Faculty, Staff and Student Publications

Fibril curvature is bioinstructive to attached cells. Similar to natural healthy tissues, an engineered extracellular matrix can be designed to stimulate cells to adopt desired phenotypes. To take full advantage of the curvature control in biomaterial fabrication methodologies, an understanding of the response to fibril subcellular curvature is required. In this work, we examined morphology, signaling, and function of human cells attached to electrospun nanofibers. We controlled curvature across an order of magnitude using nondegradable poly(methyl methacrylate) (PMMA) attached to a stiff substrate with flat PMMA as a control. Focal adhesion length and the distance of maximum intensity from the …

Temporal Machine Learning Analysis Of Prior Mammograms For Breast Cancer Risk Prediction, Hui Li, Kayla Robinson, Li Lan, Natalie Baughan, Chun-Wai Chan, Matthew Embury, Gary J Whitman, Randa El-Zein, Isabelle Bedrosian, Maryellen L Giger

Faculty, Staff and Student Publications

The identification of women at risk for sporadic breast cancer remains a clinical challenge. We hypothesize that the temporal analysis of annual screening mammograms, using a long short-term memory (LSTM) network, could accurately identify women at risk of future breast cancer. Women with an imaging abnormality, which had been biopsy-confirmed to be cancer or benign, who also had antecedent imaging available were included in this case-control study. Sequences of antecedent mammograms were retrospectively collected under HIPAA-approved guidelines. Radiomic and deep-learning-based features were extracted on regions of interest placed posterior to the nipple in antecedent images. These features were input to …

The Type 2 Diabetes Knowledge Portal: An Open Access Genetic Resource Dedicated To Type 2 Diabetes And Related Traits, Maria C Costanzo, Marcin Von Grotthuss, Jeffrey Massung, Dongkeun Jang, Lizz Caulkins, Ryan Koesterer, Clint Gilbert, Ryan P Welch, Parul Kudtarkar, Quy Hoang, Andrew P Boughton, Preeti Singh, Ying Sun, Marc Duby, Annie Moriondo, Trang Nguyen, Patrick Smadbeck, Benjamin R Alexander, Mackenzie Brandes, Mary Carmichael, Peter Dornbos, Todd Green, Kenneth C Huellas-Bruskiewicz, Yue Ji, Alexandria Kluge, Aoife C Mcmahon, Josep M Mercader, Oliver Ruebenacker, Sebanti Sengupta, Dylan Spalding, Daniel Taliun, Philip Smith, Melissa K Thomas, Beena Akolkar, M Julia Brosnan, Andriy Cherkas, Audrey Y Chu, Eric B Fauman, Caroline S Fox, Tania Nayak Kamphaus, Melissa R Miller, Lynette Nguyen, Afshin Parsa, Dermot F Reilly, Hartmut Ruetten, David Wholley, Norann A Zaghloul, Gonçalo R Abecasis, David Altshuler, Thomas M Keane, Mark I Mccarthy, Kyle J Gaulton, Jose C Florez, Michael Boehnke, Noël P Burtt, Jason Flannick

Faculty, Staff and Student Publications

Associations between human genetic variation and clinical phenotypes have become a foundation of biomedical research. Most repositories of these data seek to be disease-agnostic and therefore lack disease-focused views. The Type 2 Diabetes Knowledge Portal (T2DKP) is a public resource of genetic datasets and genomic annotations dedicated to type 2 diabetes (T2D) and related traits. Here, we seek to make the T2DKP more accessible to prospective users and more useful to existing users. First, we evaluate the T2DKP's comprehensiveness by comparing its datasets with those of other repositories. Second, we describe how researchers unfamiliar with human genetic data can begin …

Cd73-Dependent Adenosine Signaling Through Adora2b Drives Immunosuppression In Ductal Pancreatic Cancer, Erika Y Faraoni, Kanchan Singh, Vidhi Chandra, Olivereen Le Roux, Yulin Dai, Ismet Sahin, Baylee J O'Brien, Lincoln N Strickland, Le Li, Emily Vucic, Amanda N Warner, Melissa Pruski, Trent Clark, George Van Buren, Nirav C Thosani, John S Bynon, Curtis J Wray, Dafna Bar-Sagi, Kyle L Poulsen, Lana A Vornik, Michelle I Savage, Shizuko Sei, Altaf Mohammed, Zhongming Zhao, Powel H Brown, Tingting Mills, Holger K Eltzschig, Florencia Mcallister, Jennifer M Bailey-Lundberg

Faculty, Staff and Student Publications

The microenvironment that surrounds pancreatic ductal adenocarcinoma (PDAC) is profoundly desmoplastic and immunosuppressive. Understanding triggers of immunosuppression during the process of pancreatic tumorigenesis would aid in establishing targets for effective prevention and therapy. Here, we interrogated differential molecular mechanisms dependent on cell of origin and subtype that promote immunosuppression during PDAC initiation and in established tumors. Transcriptomic analysis of cell-of-origin-dependent epithelial gene signatures revealed that Nt5e/CD73, a cell-surface enzyme required for extracellular adenosine generation, is one of the top 10% of genes overexpressed in murine tumors arising from the ductal pancreatic epithelium as opposed to those rising from acinar cells. …

Pattern Dynamics And Stochasticity Of The Brain Rhythms, Clarissa Hoffman, Jingheng Cheng, Daoyun Ji, Yuri Dabaghian

Faculty, Staff and Student Publications

Our current understanding of brain rhythms is based on quantifying their instantaneous or time-averaged characteristics. What remains unexplored is the actual structure of the waves-their shapes and patterns over finite timescales. Here, we study brain wave patterning in different physiological contexts using two independent approaches: The first is based on quantifying stochasticity relative to the underlying mean behavior, and the second assesses "orderliness" of the waves' features. The corresponding measures capture the waves' characteristics and abnormal behaviors, such as atypical periodicity or excessive clustering, and demonstrate coupling between the patterns' dynamics and the animal's location, speed, and acceleration. Specifically, we …

Privacy Preservation In Smart Meters: Current Status, Challenges And Future Directions, Jonathan Kua, Mohammad Belayet Hossain, Iynkaran Natgunanathan, Yong Xiang

Faculty, Staff and Student Publications

Recent years have seen the rapid development of technologies in Smart Grids (SGs) to enhance electricity networks with digital and data communication technologies. SGs can proactively detect, react, and respond to dynamic changes in the network. SGs can also enhance the efficiency and reliability of electricity supplies and promote the integration of renewable energy sources. Smart Meters (SMs) are often seen as the first step to a successful implementation of SGs. While SMs enable Utility Providers and consumers to obtain near real-time information of energy consumption, they can also be exploited to infer sensitive consumer data. Therefore, privacy preservation in …

Longitudinal Global Transcriptomic Profiling Of Preclinical Systemic Sclerosis Reveals Molecular Changes Associated With Disease Progression, Chiara Bellocchi, Lorenzo Beretta, Xuan Wang, Marka A Lyons, Maurizio Marchini, Maurizio Lorini, Vincenzo Carbonelli, Nicola Montano, Shervin Assassi

Faculty, Staff and Student Publications

Objective: To investigate peripheral blood cell (PBCs) global gene expression profile of SSc at its preclinical stage (PreSSc) and to characterize the molecular changes associated with progression to a definite disease over time.

Material and methods: Clinical data and PBCs of 33 participants with PreSSc and 16 healthy controls (HCs) were collected at baseline and follow-up (mean 4.2 years). Global gene expression profiling was conducted by RNA sequencing and a modular analysis was performed.

Results: Comparison of baseline PreSSc to HCs revealed 2889 differentially expressed genes. Interferon signalling was the only activated pathway among top over-represented pathways. Moreover, 10 modules …

Increases In Group A Streptococcal Infections In The Pediatric Population In Houston, Tx, 2022, Aya Aboulhosn, Misu A Sanson, Luis Alberto Vega, Maria G Segura, Lauren M Summer, Marritta Joseph, J Chase Mcneil, Anthony R Flores

Faculty, Staff and Student Publications

Beginning in October 2022, we observed a substantial increase in the total number of cases of invasive GAS disease (iGAS) in the pediatric population in Houston, TX. Emm12 GAS strains were disproportionately represented but the overall proportion of iGAS infections observed during the current spike was similar to pre-pandemic years.

Inhibition Of Stat6 With Antisense Oligonucleotides Enhances The Systemic Antitumor Effects Of Radiotherapy And Anti-Pd-1 In Metastatic Non-Small Cell Lung Cancer, Kewen He, Hampartsoum B Barsoumian, Nahum Puebla-Osorio, Yun Hu, Duygu Sezen, Mark D Wasley, Genevieve Bertolet, Jie Zhang, Carola Leuschner, Liangpeng Yang, Claudia S Kettlun Leyton, Natalie Wall Fowlkes, Morgan Maureen Green, Lisa Hettrick, Dawei Chen, Fatemeh Masrorpour, Meidi Gu, Hadi Maazi, Alexey S Revenko, Maria Angelica Cortez, James W Welsh

Faculty, Staff and Student Publications

Diverse factors contribute to the limited clinical response to radiotherapy (RT) and immunotherapy in metastatic non-small cell lung cancer (NSCLC), among which is the ability of these tumors to recruit a retinue of suppressive immune cells-such as M2 tumor-associated macrophages (TAM)-thereby establishing an immunosuppressive tumor microenvironment that contributes to tumor progression and radio resistance. M2 TAMs are activated by the STAT6 signaling pathway. Therefore, we targeted STAT6 using an antisense oligonucleotide (ASO) along with hypofractionated RT (hRT; 3 fractions of 12 Gy each) to primary tumors in three bilateral murine NSCLC models (Lewis lung carcinoma, 344SQ-parental, and anti-PD-1-resistant 344SQ lung …

Increases In Group A Streptococcal Infections In The Pediatric Population In Houston, Tx, 2022, Aya Aboulhosn, Misu A Sanson, Luis Alberto Vega, Maria G Segura, Lauren M Summer, Marritta Joseph, J Chase Mcneil, Anthony R Flores

Faculty, Staff and Student Publications

Beginning in October 2022, we observed a substantial increase in the total number of cases of invasive GAS disease (iGAS) in the pediatric population in Houston, TX. Emm12 GAS strains were disproportionately represented but the overall proportion of iGAS infections observed during the current spike was similar to pre-pandemic years.

Lecanemab For Patients With Early Alzheimer Disease: Bayesian Analysis Of A Phase 2b Dose-Finding Randomized Clinical Trial, Donald A Berry, Shobha Dhadda, Michio Kanekiyo, David Li, Chad J Swanson, Michael Irizarry, Lynn D Kramer, Scott M Berry

Faculty, Staff and Student Publications

IMPORTANCE: Bayesian clinical trial designs are increasingly common; given their promotion by the US Food and Drug Administration, the future use of the bayesian approach will only continue to increase. Innovations possible when using the bayesian approach improve the efficiency of drug development and the accuracy of clinical trials, especially in the context of substantial data missingness.

OBJECTIVE: To explain the foundations, interpretations, and scientific justification of the bayesian approach in the setting of lecanemab trial 201, a bayesian-designed phase 2 dose-finding trial; to demonstrate the efficiency of using a bayesian design; and to show how it accommodates innovations in …

Dysregulation And Epigenetic Reprogramming Of Nrf2 Signaling Axis Promote Acquisition Of Cisplatin Resistance And Metastasis In Head And Neck Squamous Cell Carcinoma, Abdullah A Osman, Emre Arslan, Mason Bartels, Chieko Michikawa, Antje Lindemann, Katarzyna Tomczak, Wangjie Yu, Vlad Sandulache, Wencai Ma, Li Shen, Jing Wang, Anand K Singh, Mitchell J Frederick, Nakia D Spencer, Jeffery Kovacs, Timothy Heffernan, William F Symmans, Kunal Rai, Jeffrey N Myers

Faculty, Staff and Student Publications

PURPOSE: Cisplatin (CDDP)-based chemotherapy is a first-line treatment for patients with advanced head and neck squamous cell carcinomas (HNSCC), despite a high rate of treatment failures, acquired resistance, and subsequent aggressive behavior. The purpose of this study was to study the mechanism of CDDP resistance and metastasis in HNSCC. We investigated the role of NRF2 pathway activation as a driven event for tumor progression and metastasis of HNSCC.

EXPERIMENTAL DESIGN: Human HNSCC cell lines that are highly resistant to CDDP were generated. Clonogenic survival assays and a mouse model of oral cancer were used to examine the impact of NRF2 …

Validation Of A Brief Measure For Complicated Grief Specific To Reproductive Loss, Cara Buskmiller, Kathryn R Grauerholz, Jennifer Bute, Maria Brann, Michaelene Fredenburg, Jerrie S Refuerzo

Faculty, Staff and Student Publications

Objective

Complicated grief reactions follow some pregnancy outcomes, like miscarriage, stillbirth, neonatal death, infant death, selective reduction, or termination of pregnancy. Stigma can delay treatment and worsen outcomes. Screening tools such as the Edinburgh Postnatal Depression Scale detect complicated grief poorly, and specific tools for prolonged or complicated grief after a reproductive loss are cumbersome. In this study, a five-item questionnaire to detect complicated grief after reproductive loss of any type was designed and preliminary validated.

Methods

A questionnaire patterned after the extensively validated Brief Grief Questionnaire (BGQ) was created by a group of physicians and lay advocates to employ …

Peripartum Cardiomyopathy, Victoria L Morris, Carolina Mendoza, Gowri S Stevens, Jessica L Wilson, Adeola A Kosoko

Faculty, Staff and Student Publications

AUDIENCE: This simulation is appropriate for emergency medicine (EM) residents of all levels.

INTRODUCTION: Peripartum cardiomyopathy (PPCM) is a rare, idiopathic condition that occurs in the mother around the time of childbirth. Heart failure with reduced ejection fraction and/or reduced systolic function diagnosed in patients during the last month of pregnancy or up to five months following delivery defines PCCM.1 Another broader definition from the European Society of Cardiology defines PPCM as heart failure that occurs "towards the end of pregnancy or in the months following delivery, where no other cause of heart failure is found."2 Though PPCM occurs worldwide, …

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 …

Model-Constrained Reconstruction Accelerated With Fourier-Based Undersampling For Hyperpolarized [1-13c] Pyruvate Imaging, Zhan Xu, Keith A Michel, Christopher M Walker, Collin J Harlan, Gary V Martinez, Jeremy W Gordon, Hsin-Yu Chen, Daniel B Vigneron, James A Bankson

Faculty, Staff and Student Publications

PURPOSE: Model-constrained reconstruction with Fourier-based undersampling (MoReFUn) is introduced to accelerate the acquisition of dynamic MRI using hyperpolarized [1-

METHODS: The MoReFUn method resolves spatial aliasing using constraints introduced by a pharmacokinetic model that describes the signal evolution of both pyruvate and lactate. Acceleration was evaluated on three single-channel data sets: a numerical digital phantom that is used to validate the accuracy of reconstruction and model parameter restoration under various SNR and undersampling ratios, prospectively and retrospectively sampled data of an in vitro dynamic multispectral phantom, and retrospectively undersampled imaging data from a prostate cancer patient to test the fidelity …

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 …

Convolutional Neural Network For Biomarker Discovery For Triple Negative Breast Cancer With Rna Sequencing Data, Xiangning Chen, Justin M Balko, Fei Ling, Yabin Jin, Anneliese Gonzalez, Zhongming Zhao, Jingchun Chen

Faculty, Staff and Student Publications

Triple negative breast cancers (TNBCs) are tumors with a poor treatment response and prognosis. In this study, we propose a new approach, candidate extraction from convolutional neural network (CNN) elements (CECE), for discovery of biomarkers for TNBCs. We used the GSE96058 and GSE81538 datasets to build a CNN model to classify TNBCs and non-TNBCs and used the model to make TNBC predictions for two additional datasets, the cancer genome atlas (TCGA) breast cancer RNA sequencing data and the data from Fudan University Shanghai Cancer Center (FUSCC). Using correctly predicted TNBCs from the GSE96058 and TCGA datasets, we calculated saliency maps …

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) …

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: …

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 …