Genetic Phenomena Commons^™

Consensus Proposal For Revised International Working Group 2023 Response Criteria For Higher-Risk Myelodysplastic Syndromes, Amer M Zeidan, Uwe Platzbecker, Jan Philipp Bewersdorf, Maximilian Stahl, Lionel Adès, Uma Borate, David Bowen, Rena Buckstein, Andrew Brunner, Hetty E Carraway, Naval Daver, Maria Díez-Campelo, Theo De Witte, Amy E Dezern, Fabio Efficace, Guillermo Garcia-Manero, Jacqueline S Garcia, Ulrich Germing, Aristoteles Giagounidis, Elizabeth A Griffiths, Robert P Hasserjian, Eva Hellström-Lindberg, Marcelo Iastrebner, Rami Komrokji, Austin G Kulasekararaj, Luca Malcovati, Yasushi Miyazaki, Olatoyosi Odenike, Valeria Santini, Guillermo Sanz, Phillip Scheinberg, Reinhard Stauder, Arjan A Van De Loosdrecht, Andrew H Wei, Mikkael A Sekeres, Pierre Fenaux

Faculty, Staff and Student Publications

Myelodysplastic syndromes/myelodysplastic neoplasms (MDS) are associated with variable clinical presentations and outcomes. The initial response criteria developed by the International Working Group (IWG) in 2000 have been used in clinical practice, clinical trials, regulatory reviews, and drug labels. Although the IWG criteria were revised in 2006 and 2018 (the latter focusing on lower-risk disease), limitations persist in their application to higher-risk MDS (HR-MDS) and their ability to fully capture the clinical benefits of novel investigational drugs or serve as valid surrogates for longer-term clinical end points (eg, overall survival). Further, issues related to the ambiguity and practicality of some criteria …

Positive Selection Of Somatically Mutated Clones Identifies Adaptive Pathways In Metabolic Liver Disease, Zixi Wang, Shijia Zhu, Yuemeng Jia, Yunguan Wang, Naoto Kubota, Naoto Fujiwara, Ruth Gordillo, Cheryl Lewis, Min Zhu, Tripti Sharma, Lin Li, Qiyu Zeng, Yu-Hsuan Lin, Meng-Hsiung Hsieh, Purva Gopal, Tao Wang, Matt Hoare, Peter Campbell, Yujin Hoshida, Hao Zhu

Faculty, Staff and Student Publications

Somatic mutations in nonmalignant tissues accumulate with age and injury, but whether these mutations are adaptive on the cellular or organismal levels is unclear. To interrogate genes in human metabolic disease, we performed lineage tracing in mice harboring somatic mosaicism subjected to nonalcoholic steatohepatitis (NASH). Proof-of-concept studies with mosaic loss of Mboat7, a membrane lipid acyltransferase, showed that increased steatosis accelerated clonal disappearance. Next, we induced pooled mosaicism in 63 known NASH genes, allowing us to trace mutant clones side by side. This in vivo tracing platform, which we coined MOSAICS, selected for mutations that ameliorate lipotoxicity, including mutant genes …

Bridging Clinic And Wildlife Care With Ai-Powered Pan-Species Computational Pathology, Khalid Abduljabbar, Simon P Castillo, Katherine Hughes, Hannah Davidson, Amy M Boddy, Lisa M Abegglen, Lucia Minoli, Selina Iussich, Elizabeth P Murchison, Trevor A Graham, Simon Spiro, Carlo C Maley, Luca Aresu, Chiara Palmieri, Yinyin Yuan

Faculty, Staff and Student Publications

Cancers occur across species. Understanding what is consistent and varies across species can provide new insights into cancer initiation and evolution, with significant implications for animal welfare and wildlife conservation. We build a pan-species cancer digital pathology atlas (panspecies.ai) and conduct a pan-species study of computational comparative pathology using a supervised convolutional neural network algorithm trained on human samples. The artificial intelligence algorithm achieves high accuracy in measuring immune response through single-cell classification for two transmissible cancers (canine transmissible venereal tumour, 0.94; Tasmanian devil facial tumour disease, 0.88). In 18 other vertebrate species (mammalia = 11, reptilia = 4, aves …

Armo: Automated And Reliable Multi-Objective Model For Lymph Node Metastasis Prediction In Head And Neck Cancer, Zhiguo Zhou, Liyuan Chen, Michael Dohopolski, David Sher, Jing Wang

Faculty, Staff and Student Publications

Objective:

Accurate diagnosis of lymph node metastasis (LNM) is critical in treatment management for patients with head & neck cancer. Positron emission tomography (PET) and computed tomography (CT) are routinely used for identifying LNM status. However, for small or less fluorodeoxyglucose (FDG) avid nodes, there are always uncertainties in LNM diagnosis. We are aiming to develop a reliable prediction model is for identifying LNM.

Approach:

In this study, a new automated and reliable multi-objective learning model (ARMO) is proposed. In ARMO, a multi-objective model is introduced to obtain balanced sensitivity and specificity. Meanwhile, confidence is calibrated by introducing individual reliability, …

Machine Learning Models For The Identification Of Prognostic And Predictive Cancer Biomarkers: A Systematic Review, Qasem Al-Tashi, Maliazurina B Saad, Amgad Muneer, Rizwan Qureshi, Seyedali Mirjalili, Ajay Sheshadri, Xiuning Le, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

The identification of biomarkers plays a crucial role in personalized medicine, both in the clinical and research settings. However, the contrast between predictive and prognostic biomarkers can be challenging due to the overlap between the two. A prognostic biomarker predicts the future outcome of cancer, regardless of treatment, and a predictive biomarker predicts the effectiveness of a therapeutic intervention. Misclassifying a prognostic biomarker as predictive (or vice versa) can have serious financial and personal consequences for patients. To address this issue, various statistical and machine learning approaches have been developed. The aim of this study is to present an in-depth …

Development And Validation Of A Prediction Model For Kidney Failure In Long-Term Survivors Of Childhood Cancer, Natalie L Wu, Yan Chen, Bryan V Dieffenbach, Matthew J Ehrhardt, Sangeeta Hingorani, Rebecca M Howell, John L Jefferies, Daniel A Mulrooney, Kevin C Oeffinger, Leslie L Robison, Brent R Weil, Yan Yuan, Yutaka Yasui, Melissa M Hudson, Wendy M Leisenring, Gregory T Armstrong, Eric J Chow

Faculty, Staff and Student Publications

Purpose: Kidney failure is a rare but serious late effect following treatment for childhood cancer. We developed a model using demographic and treatment characteristics to predict individual risk of kidney failure among 5-year survivors of childhood cancer.

Methods: Five-year survivors from the Childhood Cancer Survivor Study (CCSS) without history of kidney failure (n = 25,483) were assessed for subsequent kidney failure (ie, dialysis, kidney transplantation, or kidney-related death) by age 40 years. Outcomes were identified by self-report and linkage with the Organ Procurement and Transplantation Network and the National Death Index. A sibling cohort (n = 5,045) served as a …

Assessment And Prediction Of Glioblastoma Therapy Response: Challenges And Opportunities, Dan Qi, Jing Li, C Chad Quarles, Ekokobe Fonkem, Erxi Wu

Faculty, Staff and Student Publications

Glioblastoma is the most aggressive type of primary adult brain tumour. The median survival of patients with glioblastoma remains approximately 15 months, and the 5-year survival rate is < 10%. Current treatment options are limited, and the standard of care has remained relatively constant since 2011. Over the last decade, a range of different treatment regimens have been investigated with very limited success. Tumour recurrence is almost inevitable with the current treatment strategies, as glioblastoma tumours are highly heterogeneous and invasive. Additionally, another challenging issue facing patients with glioblastoma is how to distinguish between tumour progression and treatment effects, especially when relying on routine diagnostic imaging techniques in the clinic. The specificity of routine imaging for identifying tumour progression early or in a timely manner is poor due to the appearance similarity of post-treatment effects. Here, we concisely describe the current status and challenges in the assessment and early prediction of therapy response and the early detection of tumour progression or recurrence. We also summarize and discuss studies of advanced approaches such as quantitative imaging, liquid biomarker discovery and machine intelligence that hold exceptional potential to aid in the therapy monitoring of this malignancy and early prediction of therapy response, which may decisively transform the conventional detection methods in the era of precision medicine.

Deep-Learning-Based Hepatic Ploidy Quantification Using H&E Histopathology Images, Zhuoyu Wen, Yu-Hsuan Lin, Shidan Wang, Naoto Fujiwara, Ruichen Rong, Kevin W Jin, Donghan M Yang, Bo Yao, Shengjie Yang, Tao Wang, Yang Xie, Yujin Hoshida, Hao Zhu, Guanghua Xiao

Faculty, Staff and Student Publications

Polyploidy, the duplication of the entire genome within a single cell, is a significant characteristic of cells in many tissues, including the liver. The quantification of hepatic ploidy typically relies on flow cytometry and immunofluorescence (IF) imaging, which are not widely available in clinical settings due to high financial and time costs. To improve accessibility for clinical samples, we developed a computational algorithm to quantify hepatic ploidy using hematoxylin-eosin (H&E) histopathology images, which are commonly obtained during routine clinical practice. Our algorithm uses a deep learning model to first segment and classify different types of cell nuclei in H&E images. …

Molecular Disparity Of Hla-Dpb1 Is Associated With The Development Of Subsequent Solid Cancer After Allogeneic Hematopoietic Stem Cell Transplantation, Jun Zou, Piyanuch Kongtim, Betül Oran, Samer A Srour, Uri Greenbaum, Yudith Carmazzi, Gabriela Rondon, Stefan O Ciurea, Qing Ma, Elizabeth J Shpall, Richard E Champlin, Kai Cao

Faculty, Staff and Student Publications

Background: An increased incidence of subsequent solid cancers (SSCs) has been reported in long-term survivors of allogeneic hematopoietic stem cell transplantation (allo-HSCT), and SSC is associated with inferior mortality and morbidity. Previous studies showed that the incidence of SSC is significantly higher in those who underwent allo-HSCT from HLA-mismatched donors, suggesting that persistent alloimmunity may predispose patients to SSCs. It was recently reported that, in a cohort of patients who received allo-HSCT from an unrelated donor matched at HLA-A, -B, -C, -DRB1/3/4/5, and -DQB1 loci, HLA-DPB1 alloimmunity determined by high mismatched eplets (MEs) and Predicted Indirectly Recognizable HLA Epitopes (PIRCHE) …

Bayesian Adaptive Model Selection Design For Optimal Biological Dose Finding In Phase I/Ii Clinical Trials, Ruitao Lin, Guosheng Yin, Haolun Shi

Faculty, Staff and Student Publications

Identification of the optimal dose presents a major challenge in drug development with molecularly targeted agents, immunotherapy, as well as chimeric antigen receptor T-cell treatments. By casting dose finding as a Bayesian model selection problem, we propose an adaptive design by simultaneously incorporating the toxicity and efficacy outcomes to select the optimal biological dose (OBD) in phase I/II clinical trials. Without imposing any parametric assumption or shape constraint on the underlying dose-response curves, we specify curve-free models for both the toxicity and efficacy endpoints to determine the OBD. By integrating the observed data across all dose levels, the proposed design …

The Abscopal Effect In Patients With Cancer Receiving Immunotherapy, Blessie Elizabeth Nelson, Jacob J Adashek, Steven H Lin, Vivek Subbiah

Faculty, Staff and Student Publications

Interest in the abscopal effect has been rekindled over the past decade with the advent of immunotherapy. Although purportedly elusive, this phenomenon is being increasingly reported. Venturing further using a multimodality approach with an array of systemic agents and unconventional modalities is direly needed. In this perspective, we describe the fundamentals of abscopal responses (ARs), explore combinations with systemic therapies that hold promise in eliciting ARs, and reconnoiter unconventional modalities that may induce ARs. Finally, we scrutinize prospective agents and modalities that exhibit preclinical ability to elicit ARs and discuss prognostic biomarkers, their limitations, and pathways of abscopal resistance for …

Feature Selection For Support Vector Regression Using A Genetic Algorithm, Shannon B Mckearnan, David M Vock, G Elisabeta Marai, Guadalupe Canahuate, Clifton D Fuller, Julian Wolfson

Faculty, Staff and Student Publications

Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are available, the method's flexibility can lead to overfitting and an overall loss in predictive accuracy. To overcome this drawback, we develop a feature selection method for SVR based on a genetic algorithm that iteratively searches across potential subsets of covariates to find those that yield the best performance according to a user-defined fitness function. We evaluate the performance of our feature selection method for SVR, comparing it to alternate methods including LASSO and random forest, in a simulation study. We …

Mmp9 Clears The Way For Metastatic Cell Penetration Across The Blood-Brain Barrier, Joseph H Mccarty

Faculty, Staff and Student Publications

Although brain metastases are 10-fold more prevalent than primary brain cancers, relatively little is understood about the genes and pathways that promote metastatic cell entry, growth, and survival in the brain. Hence, determining how metastatic tumors colonize the brain and thrive within the neural microenvironment is a topic of both fundamental importance and direct clinical relevance. In this issue, a report by Karreman and colleagues explores pathways that are exploited by metastatic tumor cells to arrest in the circulation, cross the endothelial blood-brain barrier (BBB), and thrive in the brain microenvironment. The authors used elegant imaging tools including intravital fluorescence …

Pancreatic Cancer: Advances And Challenges, Christopher J Halbrook, Costas A Lyssiotis, Marina Pasca Di Magliano, Anirban Maitra

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest cancers. Significant efforts have largely defined major genetic factors driving PDAC pathogenesis and progression. Pancreatic tumors are characterized by a complex microenvironment that orchestrates metabolic alterations and supports a milieu of interactions among various cell types within this niche. In this review, we highlight the foundational studies that have driven our understanding of these processes. We further discuss the recent technological advances that continue to expand our understanding of PDAC complexity. We posit that the clinical translation of these research endeavors will enhance the currently dismal survival rate of this recalcitrant …

Immune Checkpoint Therapy-Current Perspectives And Future Directions, Padmanee Sharma, Sangeeta Goswami, Deblina Raychaudhuri, Bilal A Siddiqui, Pratishtha Singh, Ashwat Nagarajan, Jielin Liu, Sumit K Subudhi, Candice Poon, Kristal L Gant, Shelley M Herbrich, Swetha Anandhan, Shajedul Islam, Moran Amit, Gayathri Anandappa, James P Allison

Faculty, Staff and Student Publications

Immune checkpoint therapy (ICT) has dramatically altered clinical outcomes for cancer patients and conferred durable clinical benefits, including cure in a subset of patients. Varying response rates across tumor types and the need for predictive biomarkers to optimize patient selection to maximize efficacy and minimize toxicities prompted efforts to unravel immune and non-immune factors regulating the responses to ICT. This review highlights the biology of anti-tumor immunity underlying response and resistance to ICT, discusses efforts to address the current challenges with ICT, and outlines strategies to guide the development of subsequent clinical trials and combinatorial efforts with ICT.

Genetic Epidemiology Highlights The Role Of Aortic Strain And Distensibility In Cardiovascular Disease, John W Belmont

Faculty, Staff and Students Publications

No abstract provided.

Hypoxia Increases Atx Expression By Histone Crotonylation In A Hif-2Α-Dependent Manner, Mengxia Qu, Yang Long, Yuqin Wang, Nan Yin, Xiaotian Zhang, Junjie Zhang

Faculty, Staff and Student Publications

Autotaxin (ATX), the key enzyme that generates lysophosphatidic acid (LPA) from lysophosphatidylcholine (LPC), is involved in tumorigenesis through the ATX-LPA axis and is regarded as a valuable target in tumor therapy. Hypoxia is a major feature of solid tumors and contributes to tumor development with striking alterations in the gene expression profile. Here, we show that hypoxia induces ATX expression in a hypoxia-inducible factor (HIF) 2α-dependent fashion in human colon cancer SW480 cells. HIF-2α is directly bound to specific hypoxia response elements (HREs) in the ATX promoter. Under hypoxic conditions, knockout or inhibition of ATX suppressed the migration of SW480 …

A Distinct Pattern Of Growth And Rac1 Signaling In Melanoma Brain Metastasis Cells, Ioana Stejerean-Todoran, Phyllis A Gimotty, Andrea Watters, Patricia Brafford, Clemens Krepler, Tetiana Godok, Haiyin Li, Zuriñe Bonilla Del Rio, Anke Zieseniss, Dörthe M Katschinski, Sinem M Sertel, Silvio O Rizzoli, Bradley Garman, Katherine L Nathanson, Xiaowei Xu, Qing Chen, Jack H Oswald, Michal Lotem, Gordon B Mills, Michael A Davies, Michael P Schön, Ivan Bogeski, Meenhard Herlyn, Adina Vultur

Faculty, Staff and Student Publications

Background: Melanoma, the deadliest of skin cancers, has a high propensity to form brain metastases that are associated with a markedly worsened prognosis. In spite of recent therapeutic advances, melanoma brain lesions remain a clinical challenge, biomarkers predicting brain dissemination are not clear and differences with other metastatic sites are poorly understood.

Methods: We examined a genetically diverse panel of human-derived melanoma brain metastasis (MBM) and extracranial cell lines using targeted sequencing, a Reverse Phase Protein Array, protein expression analyses, and functional studies in vitro and in vivo.

Results: Brain-specific genetic alterations were not detected; however, MBM cells in vitro …

Mutation-Agnostic Detection Of Colorectal Cancer Using Liquid Biopsy-Based Methylation-Specific Signatures, Mohamed A Gouda, Dzifa Y Duose, Morten Lapin, Stephanie Zalles, Helen J Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I Aldesoky, Alshimaa M Alhanafy, Mohamed A Shehata, Jing Wang, Scott Kopetz, Funda Meric-Bernstam, Ignacio I Wistuba, Rajyalakshmi Luthra, Filip Janku

Faculty, Staff and Student Publications

Detection of methylation patterns in circulating tumor DNA (ctDNA) can offer a novel approach for cancer diagnostics given the unique signature for each tumor type. We developed a next-generation sequencing (NGS)-based assay targeting 32 CpG sites to detect colorectal cancer-specific ctDNA. NGS was performed on bisulfite-converted libraries and status dichotomization was done using median methylation ratios at all targets. We included plasma samples from patients with metastatic colorectal (n = 20) and non-colorectal cancers (n = 8); and healthy volunteers (n = 4). Median methylation ratio was higher in colorectal cancer compared with non-colorectal cancers (P = .001) and normal …

An Expedited Strategy For Accurate And Timely Integrated Molecular Diagnosis Of Gliomas, Timothy A Gregory, Garret L Williford, Jacob M Maronge, Kristin Alfaro, Gregory N Fuller, John De Groot, Vinay K Puduvalli, Leomar Y Ballester, Nazanin K Majd

Faculty, Staff and Student Publications

No abstract provided.

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 …

Emt-Activated Secretory And Endocytic Vesicular Trafficking Programs Underlie A Vulnerability To Pi4k2a Antagonism In Lung Cancer, Xiaochao Tan, Guan-Yu Xiao, Shike Wang, Lei Shi, Yanbin Zhao, Xin Liu, Jiang Yu, William K Russell, Chad J Creighton, Jonathan M Kurie

Faculty, Staff and Students Publications

Hypersecretory malignant cells underlie therapeutic resistance, metastasis, and poor clinical outcomes. However, the molecular basis for malignant hypersecretion remains obscure. Here, we showed that epithelial-mesenchymal transition (EMT) initiates exocytic and endocytic vesicular trafficking programs in lung cancer. The EMT-activating transcription factor zinc finger E-box-binding homeobox 1 (ZEB1) executed a PI4KIIIβ-to-PI4KIIα (PI4K2A) dependency switch that drove PI4P synthesis in the Golgi and endosomes. EMT enhanced the vulnerability of lung cancer cells to PI4K2A small-molecule antagonists. PI4K2A formed a MYOIIA-containing protein complex that facilitated secretory vesicle biogenesis in the Golgi, thereby establishing a hypersecretory state involving osteopontin (SPP1) and other prometastatic ligands. …

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 …

Artificial Intelligence-Based Ct Assessment Of Bronchiectasis: The Copdgene Study, Alejandro A Díaz, Pietro Nardelli, Wei Wang, Rubén San José Estépar, Andrew Yen, Seth Kligerman, Diego J Maselli, Wojciech R Dolliver, Andrew Tsao, José L Orejas, Stefano Aliberti, Timothy R Aksamit, Kendra A Young, Gregory L Kinney, George R Washko, Edwin K Silverman, Raúl San José Estépar

Faculty, Staff and Student Publications

Background

CT is the standard method used to assess bronchiectasis. A higher airway-to-artery diameter ratio (AAR) is typically used to identify enlarged bronchi and bronchiectasis; however, current imaging methods are limited in assessing the extent of this metric in CT scans.

Purpose

To determine the extent of AARs using an artificial intelligence–based chest CT and assess the association of AARs with exacerbations over time.

Materials and Methods

In a secondary analysis of ever-smokers from the prospective, observational, multicenter COPDGene study, AARs were quantified using an artificial intelligence tool. The percentage of airways with AAR greater than 1 (a measure of …

Emotional, Behavioral, And Physical Health Consequences Of Loneliness In Young Adult Survivors Of Childhood Cancer: Results From The Childhood Cancer Survivor Study, Chiara Papini, Ameera A Fayad, Mingjuan Wang, Fiona S M Schulte, I-Chan Huang, Yu-Ping Chang, Rebecca M Howell, Deokumar Srivastava, Wendy M Leisenring, Gregory T Armstrong, Todd M Gibson, Leslie L Robison, Kevin C Oeffinger, Kevin R Krull, Tara M Brinkman

Faculty, Staff and Student Publications

Background: Young adults in the general population are at risk of experiencing loneliness, which has been associated with physical and mental health morbidities. The prevalence and consequences of loneliness in young adult survivors of childhood cancer remain unknown.

Methods: A total of 9664 young adult survivors of childhood cancer (median age at diagnosis 10.5 years [interquartile range (IQR), 5-15], 27.1 years at baseline [IQR, 23-32]) and 2221 siblings enrolled in the Childhood Cancer Survivor Study completed a self-reported survey question assessing loneliness on the Brief Symptom Inventory-18 at baseline and follow-up (median follow-up, 6.6 years). Multivariable models evaluated the prevalence …

Integrated Pathologic Score Effectively Stratifies Patients With Pancreatic Ductal Adenocarcinoma Who Received Neoadjuvant Therapy And Pancreaticoduodenectomy, Aaron J Sohn, Mehran Taherian, Matthew H G Katz, Laura R Prakash, Deyali Chatterjee, Hua Wang, Michael Kim, Ching-Wei D Tzeng, Jeffrey E Lee, Naruhiko Ikoma, Asif Rashid, Robert A Wolff, Dan Zhao, Eugene J Koay, Ryan Sun, Anirban Maitra, Huamin Wang

Faculty, Staff and Student Publications

Neoadjuvant therapy is increasingly used to treat patients with pancreatic ductal adenocarcinoma (PDAC). Pathologic parameters of treated PDAC, including tumor (ypT) and lymph node (ypN) stage, and tumor response grading (TRG) are important prognostic factors in this group of patients. To our knowledge, a multifactorial prognostic score combining pathologic features including ypT, ypN, and TRG in treated PDAC patients has not been reported. Our cohort consisted of 398 PDAC patients who received neoadjuvant therapy and underwent pancreaticoduodenectomy at our institution. All pancreaticoduodenectomy specimens were grossly and microscopically evaluated using a standard protocol. The integrated pathologic score (IPS) was calculated as …

Data Partitioning And Statistical Considerations For Association Of Radiomic Features To Biological Underpinnings: What Is Needed, Michael A Jacobs

Faculty, Staff and Student Publications

No abstract provided.

Patient Radiation Doses In Interventional Radiology Procedures: Comparison Of Fluoroscopy Dose Indices Between The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot And The Radiation Doses In Interventional Radiology Study, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To compare radiation dose index distributions for fluoroscopically guided interventions in interventional radiology from the American College of Radiology (ACR) Fluoroscopy Dose Index Registry (DIR-Fluoro) pilot to those from the Radiation Doses in Interventional Radiology (RAD-IR) study.

Materials and methods: Individual and grouped ACR Common identification numbers (procedure types) from the DIR-Fluoro pilot were matched to procedure types in the RAD-IR study. Fifteen comparisons were made. Distribution parameters, including the 10th, 25th, 50th, 75th, and 95th percentiles, were compared for fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA). Two derived indices were computed using median …

Patient Radiation Doses In Ir Procedures: The American College Of Radiology Dose Index Registry-Fluoroscopy Pilot, A Kyle Jones, Kevin A Wunderle, Tom Fruscello, Michael Simanowith, Brendan Cline, Shalmali Dharmadhikari, Xinhui Duan, Jeremy C Durack, David Hirschl, Don-Soo Kim, Usman Mahmood, Steve D Mann, Charles Martin, Zeyad Metwalli, Jeffrey M Moirano, Rebecca A Neill, Janice Newsome, Horacio Padua, Alan H Schoenfeld, Donald L Miller

Faculty, Staff and Student Publications

Purpose: To update normative data on fluoroscopy dose indices in the United States for the first time since the Radiation Doses in Interventional Radiology study in the late 1990s.

Materials and methods: The Dose Index Registry-Fluoroscopy pilot study collected data from March 2018 through December 2019, with 50 fluoroscopes from 10 sites submitting data. Primary radiation dose indices including fluoroscopy time (FT), cumulative air kerma (Ka,r), and kerma area product (PKA) were collected for interventional radiology fluoroscopically guided interventional (FGI) procedures. Clinical facility procedure names were mapped to the American College of Radiology (ACR) common procedure lexicon. Distribution parameters including …

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 …