Genetic Phenomena Commons^™

Editorial: Women In Molecular And Cellular Oncology, Petranel T Ferrao, Laura Rosanò, Valeria Poli, Shilpa S Dhar, Ana Paula Lepique

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Women In Molecular And Cellular Oncology, Volume Ii: 2022, Shilpa S Dhar

Faculty, Staff and Student Publications

No abstract provided.

Editorial: Big Data Analytics To Advance Stroke And Cerebrovascular Disease: A Tool To Bridge Translational And Clinical Research, Alexis Nétis Simpkins, Hari Kishan Reddy Indupuru, Sean Isaac Savitz

Faculty, Staff and Student Publications

No abstract provided.

Current Chemoprevention Approaches In Lynch Syndrome And Familial Adenomatous Polyposis: A Global Clinical Practice Survey, Kathryn A Mraz, Rachel Hodan, Linda Rodgers-Fouche, Sanjeevani Arora, Francesc Balaguer, Jose G Guillem, Joanne M Jeter, Priyanka Kanth, Dan Li, David Liska, Joshua Melson, Kimberly Perez, Charite Ricker, Brian H Shirts, Eduardo Vilar, Bryson W Katona, Mev Dominguez-Valentin

Faculty, Staff and Student Publications

Background: International chemoprevention preferences and approaches in Lynch syndrome (LS) and APC-associated polyposis, including Familial adenomatous polyposis (FAP) and attenuated FAP (AFAP) have not been previously explored.

Aim: To describe current chemoprevention strategies for patients with LS or FAP/AFAP (referred to collectively as FAP) practiced by members of four international hereditary cancer societies through administration of a survey.

Results: Ninety-six participants across four hereditary gastrointestinal cancer societies responded to the survey. Most respondents (91%, 87/96) completed information regarding their demographics and practice characteristics relating to hereditary gastrointestinal cancer and chemoprevention clinical practices. Sixty-nine percent (60/87) of respondents offer chemoprevention …

Chd1, A Multifaceted Epigenetic Remodeler In Prostate Cancer, Haoyan Li, Loraine Gigi, Di Zhao

Faculty, Staff and Student Publications

Chromatin remodeling proteins contribute to DNA replication, transcription, repair, and recombination. The chromodomain helicase DNA-binding (CHD) family of remodelers plays crucial roles in embryonic development, hematopoiesis, and neurogenesis. As the founding member, CHD1 is capable of assembling nucleosomes, remodeling chromatin structure, and regulating gene transcription. Dysregulation of CHD1 at genetic, epigenetic, and post-translational levels is common in malignancies and other human diseases. Through interacting with different genetic alterations, CHD1 possesses the capabilities to exert oncogenic or tumor-suppressive functions in context-dependent manners. In this Review, we summarize the biochemical properties and dysregulation of CHD1 in cancer cells, and then discuss CHD1's …

Editorial: Case Reports In Cardio-Oncology: 2022, Michael S Ewer, Syed Wamique Yusuf, Reto Asmis, Jun-Ichi Abe

Faculty, Staff and Student Publications

No abstract provided.

Examining Sociodemographic Correlates Of Opioid Use, Misuse, And Use Disorders In The All Of Us Research Program, Hsueh-Han Yeh, Cathryn Peltz-Rauchman, Christine C Johnson, Pamala A Pawloski, David Chesla, Stephen C Waring, Alan B Stevens, Mara Epstein, Christine Joseph, Lisa R Miller-Matero, Hongsheng Gui, Amy Tang, Eric Boerwinkle, Mine Cicek, Cheryl R Clark, Elizabeth Cohn, Kelly Gebo, Roxana Loperena, Kelsey Mayo, Stephen Mockrin, Lucila Ohno-Machado, Sheri Schully, Andrea H Ramirez, Jun Qian, Brian K Ahmedani

Faculty, Staff and Student Publications

Background: The All of Us Research Program enrolls diverse US participants which provide a unique opportunity to better understand the problem of opioid use. This study aims to estimate the prevalence of opioid use and its association with sociodemographic characteristics from survey data and electronic health record (EHR).

Methods: A total of 214,206 participants were included in this study who competed survey modules and shared EHR data. Adjusted logistic regressions were used to explore the associations between sociodemographic characteristics and opioid use.

Results: The lifetime prevalence of street opioids was 4%, and the nonmedical use of prescription opioids was 9%. …

Accelerating Artificial Intelligence: How Federated Learning Can Protect Privacy, Facilitate Collaboration, And Improve Outcomes, Malhar Patel, Ittai Dayan, Elliot K Fishman, Mona Flores, Fiona J Gilbert, Michal Guindy, Eugene J Koay, Michael Rosenthal, Holger R Roth, Marius G Linguraru

Faculty, Staff and Student Publications

Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper innovation, particularly in artificial intelligence, where models require diverse data to ensure strong performance. Federated learning (FL) solves data-sharing challenges. In typical collaborations, data is sent to a central repository where models are trained. With FL, models are sent to participating sites, trained locally, and model weights aggregated to create a master model with improved performance. At the 2021 Radiology Society of North America's (RSNA) conference, a panel was conducted titled "Accelerating AI: How Federated Learning Can Protect Privacy, Facilitate Collaboration and Improve Outcomes." Two groups shared insights: researchers from …

Editorial: Interplay Between Epigenetic Modifiers And Transcription Factors In Driving Cancer Progression, Yongyong Yang, Annalisa Di Ruscio, Satoshi Inoue, Guocan Wang, Shuai Gao

Faculty, Staff and Student Publications

No abstract provided.

Mechanisms Of Resistance To Egfr-Targeted Therapies In Colorectal Cancer: More Than Just Genetics, Christine Parseghian, Madhulika Eluri, Scott Kopetz, Kanwal Raghav

Faculty, Staff and Student Publications

The development of acquired resistance to anti-EGFR therapies remains poorly understood, with most research to date exploring, and trying to overcome, various genomic mechanisms of resistance. However, recent work supports a model of resistance whereby transcriptomic mechanisms of resistance predominate in the presence of active cytotoxic chemotherapy combined with anti-EGFR therapy in the first-line setting, with a greater predominance of acquired MAPK mutations after single-agent anti-EGFR therapy in the later-line setting. The proposed model has implications for prospective studies evaluating anti-EGFR rechallenge strategies guided by acquired MAPK mutations and highlights the need to address transcriptional mechanisms of resistance.

Erratum: Cxcl12-Mediated Monocyte Transmigration Into Brain Perivascular Space Leads To Neuroinflammation And Memory Deficit In Neuropathic Pain: Erratum, Chun-Lin Mai, Zhi Tan, Ya-Nan Xu, Jing-Jun Zhang, Zhen-Hua Huang, Dong Wang, Hui Zhang, Wen-Shan Gui, Jun Zhang, Zhen-Jia Lin, Ying-Tong Meng, Xiao Wei, Ying-Tao Jie, Peter M Grace, Long-Jun Wu, Li-Jun Zhou, Xian-Guo Liu

Faculty, Staff and Student Publications

No abstract provided.

Stem Cell Theory Of Cancer: Origin Of Metastasis And Sub-Clonality, Shi-Ming Tu, Cesar Moran, William Norton, Niki M Zacharias

Faculty, Staff and Student Publications

Metastasis may be the secret weapon cancer uses to dominate and subjugate, to persist and prevail. However, it is no longer a secret when we realize that a stem cell has the same ways and means to fulfill its own omnipotence and accomplish its own omnipresence… and when we realize that a cancer cell has its own version of stem-ness origin and stem-like nature. In this perspective, we discuss whether stem-ness enables metastasis or mutations drive metastasis. We ponder about low-grade versus high-grade tumors and about primary versus metastatic tumors. We wonder about stochasticity and hierarchy in the genesis and …

Cytosolic Dna Sensing Protein Pathway Is Activated In Human Hearts With Dilated Cardiomyopathy, Leila Rouhi, Sirisha M Cheedipudi, Benjamin Cathcart, Priyatansh Gurha, Ali J Marian

Faculty, Staff and Student Publications

INTRODUCTION: The genome is constantly exposed to numerous stressors, which induce DNA lesions, including double-stranded DNA breaks (DSBs). DSBs are the most dangerous, as they induce genomic instability. In response to DNA damage, the cell activates nuclear DNA damage response (DDR) and the cytosolic DNA sensing protein (CDSP) pathways, the latter upon release of the DSBs to the cytosol. The CDSP pathway activates NFκB and IRF3, which induce the expression of the pro-inflammatory genes. There is scant data on the activation of the CDSP pathway in human hearts with dilated cardiomyopathy (DCM).

AIM: We aimed to determine expression levels of …

The Role Of Non-Coding Rnas In Chromosomal Instability In Cancer, Swati Mohapatra, Melanie Winkle, Anh N Ton, Dien Nguyen, George A Calin

Faculty, Staff and Student Publications

Chromosomal instability (CIN) is characterized by an increased frequency of changes in chromosome structure or number and is regarded as a hallmark of cancer. CIN plays a prevalent role in tumorigenesis and cancer progression by assisting the cancer cells' phenotypic adaptation to stress, which have been tightly linked to therapy resistance and metastasis. Both CIN-inducing and CIN-repressing agents are being clinically tested for the treatment of cancer to increase CIN levels to unsustainable levels leading to cell death or to decrease CIN levels to limit the development of drug resistance, respectively. Non-coding RNAs (ncRNAs) including microRNAs and long ncRNAs (lncRNAs) …

Targeting Immunosuppressive Ly6c+ Classical Monocytes Reverses Anti-Pd-1/Ctla-4 Immunotherapy Resistance, B Leticia Rodriguez, Limo Chen, Yanli Li, Shucheng Miao, David H Peng, Jared J Fradette, Lixia Diao, Jessica M Konen, Frank R Rojas Alvarez, Luisa M Solis, Xiaohui Yi, Aparna Padhye, Laura A Gibson, Joshua K Ochieng, Xiaofei Zhou, Jing Wang, Don L Gibbons

Faculty, Staff and Student Publications

Introduction: Despite significant clinical advancement with the use of immune checkpoint blockade (ICB) in non-small cell lung cancer (NSCLC) there are still a major subset of patients that develop adaptive/acquired resistance. Understanding resistance mechanisms to ICB is critical to developing new therapeutic strategies and improving patient survival. The dynamic nature of the tumor microenvironment and the mutational load driving tumor immunogenicity limit the efficacy to ICB. Recent studies indicate that myeloid cells are drivers of ICB resistance. In this study we sought to understand which immune cells were contributing to resistance and if we could modify them in a way …

Multi-Organ Spatial Stratification Of 3-D Dose Distributions Improves Risk Prediction Of Long-Term Self-Reported Severe Symptoms In Oropharyngeal Cancer Patients Receiving Radiotherapy: Development Of A Pre-Treatment Decision Support Tool, Andrew Wentzel, Abdallah S R Mohamed, Mohamed A Naser, Lisanne V Van Dijk, Katherine Hutcheson, Amy M Moreno, Clifton D Fuller, Guadalupe Canahuate, G Elisabeta Marai

Faculty, Staff and Student Publications

Purpose: Identify Oropharyngeal cancer (OPC) patients at high-risk of developing long-term severe radiation-associated symptoms using dose volume histograms for organs-at-risk, via unsupervised clustering.

Material and methods: All patients were treated using radiation therapy for OPC. Dose-volume histograms of organs-at-risk were extracted from patients' treatment plans. Symptom ratings were collected via the MD Anderson Symptom Inventory (MDASI) given weekly during, and 6 months post-treatment. Drymouth, trouble swallowing, mucus, and vocal dysfunction were selected for analysis in this study. Patient stratifications were obtained by applying Bayesian Mixture Models with three components to patient's dose histograms for relevant organs. The clusters with the …

Overview Of The Hecktor Challenge At Miccai 2022: Automatic Head And Neck Tumor Segmentation And Outcome Prediction In Pet/Ct, Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D Fuller, Mario Jreige, Yornna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Faculty, Staff and Student Publications

This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022. The challenge comprises two tasks related to the automatic analysis of FDG-PET/CT images for patients with Head and Neck cancer (H&N), focusing on the oropharynx region. Task 1 is the fully automatic segmentation of H&N primary Gross Tumor Volume (GTVp) and metastatic lymph nodes (GTVn) from FDG-PET/CT images. Task 2 is the fully automatic prediction of Recurrence-Free Survival (RFS) …

Segmentation Stability Of Human Head And Neck Cancer Medical Images For Radiotherapy Applications Under De-Identification Conditions: Benchmarking Data Sharing And Artificial Intelligence Use-Cases, Jaakko Sahlsten, Kareem A Wahid, Enrico Glerean, Joel Jaskari, Mohamed A Naser, Renjie He, Benjamin H Kann, Antti Mäkitie, Clifton D Fuller, Kimmo Kaski

Faculty, Staff and Student Publications

BACKGROUND: Demand for head and neck cancer (HNC) radiotherapy data in algorithmic development has prompted increased image dataset sharing. Medical images must comply with data protection requirements so that re-use is enabled without disclosing patient identifiers. Defacing, i.e., the removal of facial features from images, is often considered a reasonable compromise between data protection and re-usability for neuroimaging data. While defacing tools have been developed by the neuroimaging community, their acceptability for radiotherapy applications have not been explored. Therefore, this study systematically investigated the impact of available defacing algorithms on HNC organs at risk (OARs).

METHODS: A publicly available dataset …

The Contemporary Management Of Cancers Of The Sinonasal Tract In Adults, Rajat Thawani, Myung Sun Kim, Asad Arastu, Zizhen Feng, Malinda T West, Nicholas F Taflin, Kyaw Zin Thein, Ryan Li, Mathew Geltzeiler, Nancy Lee, Clifton David Fuller, Jennifer R Grandis, Charalampos S Floudas, Michael C Heinrich, Ehab Hanna, Ravi A Chandra

Faculty, Staff and Student Publications

Sinonasal malignancies make up <5% of all head and neck neoplasms, with an incidence of 0.5-1.0 per 100,000. The outcome of these rare malignancies has been poor, whereas significant progress has been made in the management of other cancers. The objective of the current review was to describe the incidence, causes, presentation, diagnosis, treatment, and recent developments of malignancies of the sinonasal tract. The diagnoses covered in this review included sinonasal undifferentiated carcinoma, sinonasal adenocarcinoma, sinonasal squamous cell carcinoma, and esthesioneuroblastoma, which are exclusive to the sinonasal tract. In addition, the authors covered malignances that are likely to be encountered in the sinonasal tract-primary mucosal melanoma, NUT (nuclear protein of the testis) carcinoma, and extranodal natural killer cell/T-cell lymphoma. For the purpose of keeping this review as concise and focused as possible, sarcomas and malignancies that can be classified as salivary gland neoplasms were excluded.

Head And Neck Cancer Predictive Risk Estimator To Determine Control And Therapeutic Outcomes Of Radiotherapy (Hnc-Predictor): Development, International Multi-Institutional Validation, And Web Implementation Of Clinic-Ready Model-Based Risk Stratification For Head And Neck Cancer, Lisanne V Van Dijk, Abdallah Sr Mohamed, Sara Ahmed, Nafiul Nipu, G Elisabeta Marai, Kareem Wahid, Nanna M Sijtsema, Brandon Gunn, Adam S Garden, Amy Moreno, Andrew J Hope, Johannes A Langendijk, Clifton D Fuller

Faculty, Staff and Student Publications

Background: Personalised radiotherapy can improve treatment outcomes of patients with head and neck cancer (HNC), where currently a 'one-dose-fits-all' approach is the standard. The aim was to establish individualised outcome prediction based on multi-institutional international 'big-data' to facilitate risk-based stratification of patients with HNC.

Methods: The data of 4611 HNC radiotherapy patients from three academic cancer centres were split into four cohorts: a training (n = 2241), independent test (n = 786), and external validation cohorts 1 (n = 1087) and 2 (n = 497). Tumour- and patient-related clinical variables were considered in a machine learning pipeline to predict overall …