Medical Specialties Commons^™

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 …

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 …

Impact Of Common Vitamin D-Binding Protein Isoforms On Supplemental Vitamin D3 And/Or Calcium Effects On Colorectal Adenoma Recurrence Risk: A Secondary Analysis Of A Randomized Clinical Trial, David Corley Gibbs, Elizabeth L Barry, Veronika Fedirko, John A Baron, Roberd M Bostick

Faculty, Staff and Student Publications

IMPORTANCE: Variants in the vitamin D-binding protein (DBP) gene (GC) encode DBP isoforms that may affect vitamin D metabolism. However, whether these isoforms modify the effects of vitamin D3 and/or calcium supplementation on colorectal adenoma recurrence is unclear. We hypothesized that supplementation effects may be stronger among those with the DBP2 isoform (encoded by the rs4588*A allele), which is associated with vitamin D deficiency and modified the associations of circulating vitamin D with risk for colorectal neoplasms in observational studies.

OBJECTIVE: To estimate supplemental vitamin D3 and/or calcium effects on colorectal adenoma recurrence according to 3 common DBP isoforms (DBP1s, …

Dietary Intake Of Total, Heme And Non-Heme Iron And The Risk Of Colorectal Cancer In A European Prospective Cohort Study, Elom K Aglago, Amanda J Cross, Elio Riboli, Veronika Fedirko, David J Hughes, Agnes Fournier, Paula Jakszyn, Heinz Freisling, Marc J Gunter, Christina C Dahm, Kim Overvad, Anne Tjønneland, Cecilie Kyrø, Marie-Christine Boutron-Ruault, Joseph A Rothwell, Gianluca Severi, Verena Katzke, Bernard Srour, Matthias B Schulze, Clemens Wittenbecher, Domenico Palli, Sabina Sieri, Fabrizio Pasanisi, Rosario Tumino, Fulvio Ricceri, Bas Bueno-De-Mesquita, Jeroen W G Derksen, Guri Skeie, Torill Enget Jensen, Marko Lukic, Maria-Jose Sánchez, Pilar Amiano, Sandra Colorado-Yohar, Aurelio Barricarte, Ulrika Ericson, Bethany Van Guelpen, Keren Papier, Anika Knuppel, Corinne Casagrande, Inge Huybrechts, Alicia K Heath, Konstantinos K Tsilidis, Mazda Jenab

Faculty, Staff and Student Publications

BACKGROUND: Iron is an essential micronutrient with differing intake patterns and metabolism between men and women. Epidemiologic evidence on the association of dietary iron and its heme and non-heme components with colorectal cancer (CRC) development is inconclusive.

METHODS: We examined baseline dietary questionnaire-assessed intakes of total, heme, and non-heme iron and CRC risk in the EPIC cohort. Sex-specific multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were computed using Cox regression. We modelled substitution of a 1 mg/day of heme iron intake with non-heme iron using the leave one-out method.

RESULTS: Of 450,105 participants (318,680 women) followed for 14.2 …

Pocketnet: A Smaller Neural Network For Medical Image Analysis, Adrian Celaya, Jonas A Actor, Rajarajesawari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes

Faculty, Staff and Student Publications

Medical imaging deep learning models are often large and complex, requiring specialized hardware to train and evaluate these models. To address such issues, we propose the PocketNet paradigm to reduce the size of deep learning models by throttling the growth of the number of channels in convolutional neural networks. We demonstrate that, for a range of segmentation and classification tasks, PocketNet architectures produce results comparable to that of conventional neural networks while reducing the number of parameters by multiple orders of magnitude, using up to 90% less GPU memory, and speeding up training times by up to 40%, thereby allowing …

Well-Being Content Inclusion In Pharmacy Education Across The United States And Canada, Elizabeth Buckley, Simi Gunaseelan, Benjamin D Aronson, Heidi N Anksorus, Victoria Belousova, Tram B Cat, Kristine M Cline, Stacey D Curtis, Christina E Deremer, David Fuentes, Mckenzie S Grinalds, Seena L Haines, Hannah E Johnson, Karen Kopacek, Jessica M Louie, Nkem P Nonyel, Natasha Petry, Shawn Riser Taylor, Suzanne C Harris, Cheryl A Sadowski, Anandi V Law

Faculty, Staff and Student Publications

Objective. To describe the landscape of well-being content inclusion across schools and colleges of pharmacy in the United States and Canada through identification of content implementation, incorporation, and assessment.

Methods. A cross-sectional survey was distributed to all accredited schools and colleges of pharmacy in the United States (n=143) and Canada (n=10). Survey questions included curricular and cocurricular timing, frequency, assessment strategies, and support for well-being initiatives, using a framework of eight dimensions (pillars) of wellness to categorize content.

Results. Descriptive data analyses were applied to 99 completed surveys (65%), 89 (62%) in the United States and 10 (100%) in Canada. …

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 …

Comparative Analysis Of Opioid Use Between Robotic And Open Pancreatoduodenectomy, Russell G Witt, Yuki Hirata, Laura R Prakash, Timothy E Newhook, Jessica E Maxwell, Michael P Kim, Hop S Tran Cao, Jeffrey E Lee, Jean-Nicolas Vauthey, Matthew H G Katz, Ching-Wei D Tzeng, Naruhiko Ikoma

Faculty, Staff and Student Publications

BACKGROUND/PURPOSE: Risk-stratified pancreatectomy clinical pathways using regional anesthesia and multimodality analgesia have decreased overall opioid use, but the additional benefits of robotic surgery in opioid reduction for pancreatoduodenectomy (PD) are unknown. We compared the inpatient opioid use between robotic PD and open PD.

METHODS: Patients undergoing open PD within a protocol evaluating preincisional regional anesthetic block bundles were compared to consecutively-treated patients undergoing robotic PD identified from a prospectively maintained single-institutional database. Clinical characteristics, operative outcomes, pain scores and inpatient oral morphine equivalent (OME) use were compared between patients treated with robotic or open PD. Patients with a history of …

Quality Assurance Assessment Of Intra-Acquisition Diffusion-Weighted And T2-Weighted Magnetic Resonance Imaging Registration And Contour Propagation For Head And Neck Cancer Radiotherapy, Mohamed A Naser, Kareem A Wahid, Sara Ahmed, Vivian Salama, Cem Dede, Benjamin W Edwards, Ruitao Lin, Brigid Mcdonald, Travis C Salzillo, Renjie He, Yao Ding, Moamen Abobakr Abdelaal, Daniel Thill, Nicolette O'Connell, Virgil Willcut, John P Christodouleas, Stephen Y Lai, Clifton D Fuller, Abdallah S R Mohamed

Faculty, Staff and Student Publications

BACKGROUND/PURPOSE: Adequate image registration of anatomical and functional magnetic resonance imaging (MRI) scans is necessary for MR-guided head and neck cancer (HNC) adaptive radiotherapy planning. Despite the quantitative capabilities of diffusion-weighted imaging (DWI) MRI for treatment plan adaptation, geometric distortion remains a considerable limitation. Therefore, we systematically investigated various deformable image registration (DIR) methods to co-register DWI and T2-weighted (T2W) images.

MATERIALS/METHODS: We compared three commercial (ADMIRE, Velocity, Raystation) and three open-source (Elastix with default settings [Elastix Default], Elastix with parameter set 23 [Elastix 23], Demons) post-acquisition DIR methods applied to T2W and DWI MRI images acquired during the same …

Effect Of The Physical Fibrillated Sweet Potato (Ipomoea Batatas) Stem On The Plant-Based Patty Analogues, Suyoon Lee, You Young Lee, Yang Kim, Seung Hwan Ham, Min Gyu Lee, Jungwoo Hahn, Young Jin Choi

Faculty, Staff and Student Publications

In this study, a dietary fiber extracted from sweet potato stems (Ipomoea batatas, PS) was evaluated for its ability to improve the quality of vegetable patty analogues. A patty analogues containing 0–50 wt% dietary fiber were prepared to analyze the utilized dietary fiber's performance. To evaluate the manufactured patty analogues, texture profile analysis, color analysis, emulsion stability, and microstructural analysis were conducted. As the PS increased, the hardness decreased, while the total expressible fluids tended to increase. The color analysis revealed that the a* value, which represents red, declined as the PS content increased, and heterogeneous colors showed …

Covid-19 And Employee Job Performance Trajectories: The Moderating Effect Of Different Sources Of Status, Xin Liu, Xiaoming Zheng, Byron Y Lee, Yu Yu, Mengyi Zhang

Faculty, Staff and Student Publications

This study investigates the impact of the COVID-19 pandemic on employee job performance trajectories, and further examines the moderating effects of different sources of status. Drawing from event system theory (EST), we propose that employee job performance decreases upon COVID-19 onset, but gradually increases during the postonset period. Furthermore, we argue that status from society, occupation, and workplace functions to moderate such performance trajectories. We test our hypotheses with a unique dataset of 708 employees that combines survey responses and job performance archival data over 21 consecutive months (10,808 observations) spanning the preonset, onset, and postonset periods of the initial …

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 …

Institutional Strategies To Maintain And Grow Imaging Research During The Covid-19 Pandemic, Mai-Lan Ho, Corey W Arnold, Summer J Decker, John D Hazle, Elizabeth A Krupinski, David A Mankoff

Faculty, Staff and Student Publications

Understanding imaging research experiences, challenges, and strategies for academic radiology departments during and after COVID-19 is critical to prepare for future disruptive events. We summarize key insights and programmatic initiatives at major academic hospitals across the world, based on literature review and meetings of the Radiological Society of North America Vice Chairs of Research (RSNA VCR) group. Through expert discussion and case studies, we provide suggested guidelines to maintain and grow radiology research in the postpandemic era.

Surgery After Braf-Directed Therapy Is Associated With Improved Survival In Brafv600e Mutant Anaplastic Thyroid Cancer: A Single-Center Retrospective Cohort Study, Xiao Zhao, Jennifer Rui Wang, Ramona Dadu, Naifa Lamki Busaidy, Lei Xu, Kim O Learned, Noah N Chasen, Thinh Vu, Anastasios Maniakas, Arturo A Eguia, Julia Diersing, Neil D Gross, Ryan Goepfert, Stephen Y Lai, Marie-Claude Hofmann, Renata Ferrarotto, Charles Lu, Gary Brandon Gunn, Michael T Spiotto, Vivek Subbiah, Michelle D Williams, Maria E Cabanillas, Mark E Zafereo

Faculty, Staff and Student Publications

Background: The aim of this study was to describe the oncologic outcomes of patients with BRAFV600E-mutated anaplastic thyroid cancer (ATC) who had neoadjuvant BRAF-directed therapy with subsequent surgery. For context, we also reviewed patients who received BRAF-directed therapy after surgery, and those who did not have surgery after BRAF-directed therapy.

Methods: This was a single-center retrospective cohort study conducted at a tertiary care cancer center in Texas from 2017 to 2021. Fifty-seven consecutive patients with BRAFV600E-mutated ATC and at least 1 month of BRAF-directed therapy were included. Primary outcomes were overall survival (OS) and progression-free survival (PFS).

Results: All patients …

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 …

Ablative Margins Of Colorectal Liver Metastases Using Deformable Ct Image Registration And Autosegmentation, Yuan-Mao Lin, Iwan Paolucci, Caleb S O'Connor, Brian M Anderson, Bastien Rigaud, Bryan M Fellman, Kyle A Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Background

Confirming ablation completeness with sufficient ablative margin is critical for local tumor control following colorectal liver metastasis (CLM) ablation. An image-based confirmation method considering patient- and ablation-related biomechanical deformation is an unmet need.

Purpose

To evaluate a biomechanical deformable image registration (DIR) method for three-dimensional (3D) minimal ablative margin (MAM) quantification and the association with local disease progression following CT-guided CLM ablation.

Materials and Methods

This single-institution retrospective study included patients with CLM treated with CT-guided microwave or radiofrequency ablation from October 2015 to March 2020. A biomechanical DIR method with AI-based autosegmentation of liver, tumors, and ablation zones …

Inconsistent Partitioning And Unproductive Feature Associations Yield Idealized Radiomic Models, Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Background Radiomics is the extraction of predefined mathematic features from medical images for the prediction of variables of clinical interest. While some studies report superlative accuracy of radiomic machine learning (ML) models, the published methodology is often incomplete, and the results are rarely validated in external testing data sets. Purpose To characterize the type, prevalence, and statistical impact of methodologic errors present in radiomic ML studies. Materials and Methods Radiomic ML publications were reviewed for the presence of performance-inflating methodologic flaws. Common flaws were subsequently reproduced with randomly generated features interpolated from publicly available radiomic data sets to demonstrate the …

Prediction Of Survival With Lower Intensity Therapy Among Older Patients With Acute Myeloid Leukemia, Koji Sasaki, Farhad Ravandi, Tapan M Kadia, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval G Daver, Elias J Jabbour, Guillermo Garcia-Manero, Sanam Loghavi, Keyur P Patel, Guillermo Montalban-Bravo, Lucia Masarova, Courtney D Dinardo, Hagop M Kantarjian

Faculty, Staff and Student Publications

BACKGROUND: The aim of this study was to develop a prognostic model for survival in older/unfit patients with newly diagnosed acute myeloid leukemia (AML) who were treated with lower-intensity chemotherapy regimens.

METHODS: The authors reviewed all older/unfit patients with newly diagnosed AML who received lower-intensity chemotherapy from 2000 until 2020 at their institution. A total of 1462 patients were included. They were divided (3:1 basis) into a training (n = 1088) and a validation group (n = 374).

RESULTS: In the training cohort of 1088 patients (median age, 72 years), the multivariate analysis identified 11 consistent independent adverse factors associated …

The Outcomes Of Patients With Chronic Myeloid Leukemia Treated With Third-Line Bcr::Abl1 Tyrosine Kinase Inhibitors, Elias J Jabbour, Koji Sasaki, Fadi G Haddad, Ghayas C Issa, Guillermo Garcia-Manero, Tapan M Kadia, Nitin Jain, Musa Yilmaz, Courtney D Dinardo, Keyur P Patel, Rashmi Kanagal-Shamanna, Richard Champlin, Issa F Khouri, Sara Dellasala, Sherry A Pierce, Hagop Kantarjian

Faculty, Staff and Student Publications

The BCR::ABL1 tyrosine kinase inhibitors (TKIs) have improved the outcomes of patients with chronic myeloid leukemia (CML). After failing second-generation TKI (2G-TKI), the optimal third-line therapy in chronic phase CML (CML-CP) is not well established. We analyzed 354 patients with CML-CP treated with a third-line BCR::ABL1 TKI at our institution, and in the PACE and OPTIC trials, and evaluated the outcome after alternate 2G-TKIs or ponatinib. We performed a propensity score matching analysis to compare outcomes and multivariate analysis to identify variables associated with survival. One hundred seventy-three (49%) patients received 2G-TKIs and 181 (51%) ponatinib. Patients in the ponatinib …

Clinical Outcomes Of Immune Checkpoint Inhibitor Diabetes Mellitus At A Comprehensive Cancer Center, Rebecca Jeun, Priyanka C Iyer, Conor Best, Victor Lavis, Jeena M Varghese, Sireesha Yedururi, Veronica Brady, Isabella C Glitza Oliva, Ramona Dadu, Denai R Milton, Kristy Brock, Sonali Thosani

Faculty, Staff and Student Publications

Introduction: Immune checkpoint inhibitor-associated diabetes mellitus (ICI-DM) is a rare adverse event. In this study, we characterize clinical outcomes of patients with ICI-DM and evaluate survival impact of this complication on melanoma patients.

Research design & methods: We conducted a retrospective review of 76 patients diagnosed with ICI-DM from April 2014 to December 2020.

Results: 68% of patients presented in diabetic ketoacidosis, 16% had readmissions for hyperglycemia, and hypoglycemia occurred in 70% of patients after diagnosis. Development of ICI-DM did not impact overall survival or progression-free survival in melanoma patients.

Conclusion: Development of ICI-DM is associated with long-term insulin dependence …

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 …

A Deep-Learning-Based Dose Verification Tool Utilizing Fluence Maps For A Cobalt-60 Compensator-Based Intensity-Modulated Radiation Therapy System, Kyuhak Oh, Mary P Gronberg, Tucker J Netherton, Bishwambhar Sengupta, Carlos E Cardenas, Laurence E Court, Eric C Ford

Faculty, Staff and Student Publications

Background and purpose: A novel cobalt-60 compensator-based intensity-modulated radiation therapy (IMRT) system was developed for a resource-limited environment but lacked an efficient dose verification algorithm. The aim of this study was to develop a deep-learning-based dose verification algorithm for accurate and rapid dose predictions.

Materials and methods: A deep-learning network was employed to predict the doses from static fields related to beam commissioning. Inputs were a cube-shaped phantom, a beam binary mask, and an intersecting volume of the phantom and beam binary mask, while output was a 3-dimensional (3D) dose. The same network was extended to predict patient-specific doses for …

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: …

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 …

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% …

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 …

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 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) …

Treatment Outcomes For Rheumatoid Arthritis-Associated Interstitial Lung Disease: A Real-World, Multisite Study Of The Impact Of Immunosuppression On Pulmonary Function Trajectory, Scott M Matson, Misbah Baqir, Teng Moua, Michael Marll, Jessica Kent, Nicholas S Iannazzo, Ryan D Boente, John M Donatelli, Junqiang Dai, Francisco J Diaz, M Kristen Demoruelle, Mark B Hamblin, Susan K Mathai, Jay H Ryu, Kristen Pope, Christopher M Walker, Joyce S Lee

Faculty, Staff and Student Publications

BACKGROUND: Rheumatoid arthritis (RA)-associated interstitial lung disease (ILD) is common in patients with RA and leads to significant morbidity and mortality. No randomized, placebo-controlled data are available that support the role of immunosuppression to treat RA-associated ILD, despite being widely used in clinical practice.

RESEARCH QUESTION: How does immunosuppression impact pulmonary function trajectory in a multisite retrospective cohort of patients with RA-associated ILD?

STUDY DESIGN AND METHODS: Patients with RA who started treatment for ILD with mycophenolate, azathioprine, or rituximab were identified retrospectively from five ILD centers. Change in lung function before and after treatment was analyzed using a linear …