Medical Specialties Commons^™

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 …

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 …

Il6 Mediates Suppression Of T- And Nk-Cell Function In Emt-Associated Tki-Resistant Egfr-Mutant Nsclc, Sonia A Patel, Monique B Nilsson, Yan Yang, Xiuning Le, Hai T Tran, Yasir Y Elamin, Xiaoxing Yu, Fahao Zhang, Alissa Poteete, Xiaoyang Ren, Li Shen, Jing Wang, Seyed Javad Moghaddam, Tina Cascone, Michael Curran, Don L Gibbons, John V Heymach

Faculty, Staff and Student Publications

Purpose: Patients with advanced non-small cell lung cancer (NSCLC) harboring activating EGFR mutations are initially responsive to tyrosine kinase inhibitors (TKI). However, therapeutic resistance eventually emerges, often via secondary EGFR mutations or EGFR-independent mechanisms such as epithelial-to-mesenchymal transition. Treatment options after EGFR-TKI resistance are limited as anti-PD-1/PD-L1 inhibitors typically display minimal benefit. Given that IL6 is associated with worse outcomes in patients with NSCLC, we investigate whether IL6 in part contributes to this immunosuppressed phenotype.

Experimental design: We utilized a syngeneic genetically engineered mouse model (GEMM) of EGFR-mutant NSCLC to investigate the effects of IL6 on the tumor microenvironment and …

Dna Damage Repair Kinase Dna-Pk And Cgas Synergize To Induce Cancer-Related Inflammation In Glioblastoma, Clara Taffoni, Johanna Marines, Hanane Chamma, Soumyabrata Guha, Mathilde Saccas, Amel Bouzid, Ana-Luiza Chaves Valadao, Clément Maghe, Jane Jardine, Mi Kyung Park, Katarzyna Polak, Mara De Martino, Claire Vanpouille-Box, Maguy Del Rio, Celine Gongora, Julie Gavard, Nicolas Bidère, Min Sup Song, Donovan Pineau, Jean-Philippe Hugnot, Karima Kissa, Laura Fontenille, Fabien P Blanchet, Isabelle K Vila, Nadine Laguette

Faculty, Staff and Student Publications

Cytosolic DNA promotes inflammatory responses upon detection by the cyclic GMP-AMP (cGAMP) synthase (cGAS). It has been suggested that cGAS downregulation is an immune escape strategy harnessed by tumor cells. Here, we used glioblastoma cells that show undetectable cGAS levels to address if alternative DNA detection pathways can promote pro-inflammatory signaling. We show that the DNA-PK DNA repair complex (i) drives cGAS-independent IRF3-mediated type I Interferon responses and (ii) that its catalytic activity is required for cGAS-dependent cGAMP production and optimal downstream signaling. We further show that the cooperation between DNA-PK and cGAS favors the expression of chemokines that promote …

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 …

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 …

Intratumoral Heterogeneity And Clonal Evolution Induced By Hpv Integration, Keiko Akagi, David E Symer, Medhat Mahmoud, Bo Jiang, Sara Goodwin, Darawalee Wangsa, Zhengke Li, Weihong Xiao, Joe Dan Dunn, Thomas Ried, Kevin R Coombes, Fritz J Sedlazeck, Maura L Gillison

Faculty, Staff and Student Publications

The human papillomavirus (HPV) genome is integrated into host DNA in most HPV-positive cancers, but the consequences for chromosomal integrity are unknown. Continuous long-read sequencing of oropharyngeal cancers and cancer cell lines identified a previously undescribed form of structural variation, "heterocateny," characterized by diverse, interrelated, and repetitive patterns of concatemerized virus and host DNA segments within a cancer. Unique breakpoints shared across structural variants facilitated stepwise reconstruction of their evolution from a common molecular ancestor. This analysis revealed that virus and virus-host concatemers are unstable and, upon insertion into and excision from chromosomes, facilitate capture, amplification, and recombination of host …

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 …

Independent Reproduction Of The Flash Effect On The Gastrointestinal Tract: A Multi-Institutional Comparative Study, Anet Valdés Zayas, Neeraj Kumari, Kevin Liu, Denae Neill, Abagail Delahoussaye, Patrik Gonçalves Jorge, Reiner Geyer, Steven H Lin, Claude Bailat, François Bochud, Raphael Moeckli, Albert C Koong, Jean Bourhis, Cullen M Taniguchi, Fernanda G Herrera, Emil Schüler

Faculty, Staff and Student Publications

FLASH radiation therapy (RT) is a promising new paradigm in radiation oncology. However, a major question that remains is the robustness and reproducibility of the FLASH effect when different irradiators are used on animals or patients with different genetic backgrounds, diets, and microbiomes, all of which can influence the effects of radiation on normal tissues. To address questions of rigor and reproducibility across different centers, we analyzed independent data sets from The University of Texas MD Anderson Cancer Center and from Lausanne University (CHUV). Both centers investigated acute effects after total abdominal irradiation to C57BL/6 animals delivered by the FLASH …

Concurrent Intrathecal And Intravenous Nivolumab In Leptomeningeal Disease: Phase 1 Trial Interim Results, Isabella C Glitza Oliva, Sherise D Ferguson, Roland Bassett, Alexandra P Foster, Ida John, Tarin D Hennegan, Michelle Rohlfs, Jessie Richard, Masood Iqbal, Tina Dett, Carol Lacey, Natalie Jackson, Theresa Rodgers, Suzanne Phillips, Sheila Duncan, Lauren Haydu, Ruitao Lin, Rodabe N Amaria, Michael K Wong, Adi Diab, Cassian Yee, Sapna P Patel, Jennifer L Mcquade, Grant M Fischer, Ian E Mccutcheon, Barbara J O'Brien, Sudhakar Tummala, Matthew Debnam, Nandita Guha-Thakurta, Jennifer A Wargo, Fernando C L Carapeto, Courtney W Hudgens, Jason T Huse, Michael T Tetzlaff, Elizabeth M Burton, Hussein A Tawbi, Michael A Davies

Faculty, Staff and Student Publications

There is a critical need for effective treatments for leptomeningeal disease (LMD). Here, we report the interim analysis results of an ongoing single-arm, first-in-human phase 1/1b study of concurrent intrathecal (IT) and intravenous (IV) nivolumab in patients with melanoma and LMD. The primary endpoints are determination of safety and the recommended IT nivolumab dose. The secondary endpoint is overall survival (OS). Patients are treated with IT nivolumab alone in cycle 1 and IV nivolumab is included in subsequent cycles. We treated 25 patients with metastatic melanoma using 5, 10, 20 and 50 mg of IT nivolumab. There were no dose-limiting …

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

Faculty, Staff and Student Publications

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

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

Faculty, Staff and Student Publications

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

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

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

Faculty, Staff and Student Publications

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

Consensus-Based Evaluation Of Outcome Measures In Pediatric Stroke Care: A Toolkit, Samantha J Feldman, Lauren A Beslow, Ryan J Felling, Laura A Malone, Michaela Waak, Stuart Fraser, Nihal Bakeer, Jo Ellen M Lee, Victoria Sherman, Melissa M Howard, Beth Anne Cavanaugh, Robyn Westmacott, Lori C Jordan

Faculty, Staff and Student Publications

Following a pediatric stroke, outcome measures selected for monitoring functional recovery and development vary widely. We sought to develop a toolkit of outcome measures that are currently available to clinicians, possess strong psychometric properties, and are feasible for use within clinical settings. A multidisciplinary group of clinicians and scientists from the International Pediatric Stroke Organization comprehensively reviewed the quality of measures in multiple domains described in pediatric stroke populations including global performance, motor and cognitive function, language, quality of life, and behavior and adaptive functioning. The quality of each measure was evaluated using guidelines focused on responsiveness and sensitivity, reliability, …

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 …

Enoxaparin May Be Associated With Lower Rates Of Mortality Than Unfractionated Heparin In Neurocritical And Surgical Patients, Sophie Samuel, Catherine To, Yaobin Ling, Kai Zhang, Xiaoqian Jiang, Elmer V Bernstam

Faculty, Staff and Student Publications

Unfractionated heparin (UFH) and low molecular weight heparin (LMWH) are often administered to prevent venous thromboembolism (VTE) in critically ill patients. However, the preferred prophylactic agent (UFH or LMWH) is not known. We compared the all-cause mortality rate in patients receiving UFH to LMWH for VTE prophylaxis. We conducted a retrospective propensity score adjusted analysis of patients admitted to neuro-critical, surgical, or medical intensive care units. Patients were included if they were screened with venous duplex ultrasonography or computed tomography angiography for detection of VTE. The primary outcome was all-cause mortality. Secondary outcomes included the prevalence of VTE, deep vein …

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 …

In Vitro Activity Of Eravacycline And Comparator Agents Against Bacterial Pathogens Isolated From Patients With Cancer, Kenneth Rolston, Bahgat Gerges, Lior Nesher, Samuel A Shelburne, Randall Prince, Issam Raad

Faculty, Staff and Student Publications

BACKGROUND: Bacterial infections are common in patients with cancer, and many bacteria have developed resistance to currently used antibiotics.

OBJECTIVES: We evaluated the

METHODS: Antimicrobial susceptibility testing was performed using CLSI-approved methodology and interpretive criteria for 255 Gram-positive and 310 Gram-negative bacteria. MIC and susceptibility percentage were calculated according to CLSI and FDA breakpoints when available.

RESULTS: Eravacycline had potent activity against most Gram-positive bacteria, including MRSA. Of 80 Gram-positive isolates with available breakpoints, 74 (92.5%) were susceptible to eravacycline. Eravacycline had potent activity against most Enterobacterales, including ESBL-producing organisms. Of 230 Gram-negative isolates with available breakpoints, 201 (87.4%) were …

The In Vitro Activity Of Delafloxacin And Comparator Agents Against Bacterial Pathogens Isolated From Patients With Cancer, Bahgat Gerges, Kenneth Rolston, Samuel A Shelburne, Joel Rosenblatt, Randall Prince, Issam Raad

Faculty, Staff and Student Publications

BACKGROUND: Fluoroquinolones are used for infection prevention in high-risk patients with haematological malignancies. Fluoroquinolones are active against many Gram-negative bacilli (GNB) but are less active against Gram-positive organisms. We evaluated the

METHODS: Antimicrobial susceptibility testing and time-kill studies were performed using CLSI-approved methodology and interpretive criteria for 350 Gram-positive organisms and 210 GNB that had been recently isolated from patients with cancer.

RESULTS: Delafloxacin was more active than ciprofloxacin and levofloxacin against

CONCLUSIONS: Delafloxacin is more active than ciprofloxacin and levofloxacin against

Association Between Employer-Based Health Promotion Programs And Adherence To Breast Cancer Screening In Texas, Monalisa Chandra, Robert Yu, Sanjay Shete

Faculty, Staff and Student Publications

Breast cancer is the most common cancer diagnosed among women in Texas. Although adherence to recommended screening mammogram guidelines enables early detection and reduces breast cancer risks, screening mammogram adherence is low in Texas. With the rising percentage of women in the workforce, employer-based health promotion programs could be an effective measure in increasing mammogram adherence, thereby reducing breast cancer risk in Texas. Although employer-based health programs are common in the state, little is known about their effectiveness in increasing screening mammogram adherence among age-eligible employed females. The study survey was administered using Qualtrics and the study participants were representative …

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 …

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) …