Medical Specialties Commons^™

Addressing Health Disparities In Hematologic Malignancies: From Genes To Outreach, Christopher R Flowers, Rachel W Anantha, Veronica Leautaud, Pinkal Desai, Chancellor E Donald, Michelle A T Hildebrandt, Jean L Koff, Rulla M Tamimi, Wendy Cozen, Chijioke Nze, Ari M Melnick

Faculty, Staff and Student Publications

This review underscores our shared responsibility to champion multidimensional strategies rooted in basic and translational science, community involvement, and societal responsiveness for a meaningful impact. Unifying themes include the need to enhance collaborative infrastructure to engage laboratory researchers, epidemiologists, data scientists, clinicians, patients, community leaders, and policymakers; patient-level support services; outreach, education, and navigation for patients at the community level; recruitment and retention of underrepresented groups in the healthcare and research workforce; and funding for these efforts.

Gain-Of-Function Chromatin Remodeling Activity Of Oncogenic Foxl2c134w Reprograms Glucocorticoid Receptor Occupancy To Drive Granulosa Cell Tumors, Thomas Welte, Veena K Vuttaradhi, Eleonora Y Khlebus, Allison Brodsky, Alejandra Flores Legarreta, Joseph Celestino, Reid T Powell, Clifford C Stephan, Nghi Nguyen, Jian Li, Shiro Takamatsu, Katherine Calzoncinth, Anil K Sood, David M Gershenson, P Andrew Futreal, Barrett Lawson, R Tyler Hillman

Faculty, Staff and Student Publications

Adult type ovarian granulosa cell tumors (AGCT) are rare malignancies with the near universal c.C402G (p.Cys134Trp) somatic mutation in FOXL2, a forkhead box family transcription factor important for ovarian function. Relapsed AGCT is incurable, but the mechanism of the unique FOXL2 mutation could confer therapeutic vulnerabilities. To identify FOXL2C134W-dependent pharmacologic synergies, we created and characterized endogenous FOXL2 isogenic AGCT cells and an AGCT tumoroid biobank. A drug screen identified that glucocorticoids promote FOXL2C134W-dependent AGCT growth. Epigenetic investigation revealed that the Cys134Trp mutation exposes latent DNA sequence-specific chromatin remodeling activity in FOXL2. FOXL2C134W-dependent chromatin remodeling activity redirected glucocorticoid receptor chromatin occupancy …

Epigenetic Landscapes Of Aging In Breast Cancer Survivors: Unraveling The Impact Of Therapeutic Interventions-A Scoping Review, Nikita Nikita, Zhengyang Sun, Swapnil Sharma, Amy L Shaver, Victoria Seewaldt, Grace Lu-Yao

Department of Medical Oncology Faculty Papers

Breast cancer therapies have dramatically improved survival rates, but their long-term effects, especially on aging survivors, need careful consideration. This review delves into how breast cancer treatments and aging intersect, focusing on the epigenetic changes triggered by chemotherapy, radiation, hormonal treatments, and targeted therapies. Treatments can speed up biological aging by altering DNA methylation, histone modifications, and chromatin remodeling, affecting gene expression without changing the DNA sequence itself. The review explains the double-edged sword effect of therapy-induced epigenetic modifications, which help fight cancer but also accelerate aging. Chemotherapy and targeted therapies, in particular, impact DNA methylation and histone modifications, promoting …

First-In-Human Clinical Trial Of A Small-Molecule Ebna1 Inhibitor, Vk-2019, In Patients With Epstein-Barr-Positive Nasopharyngeal Cancer, With Pharmacokinetic And Pharmacodynamic Studies, A Dimitrios Colevas, Zahra Talebi, Elizabeth Winters, Caroline Even, Victor Ho-Fun Lee, Maura L Gillison, Saad A Khan, Rong Lu, Benjamin A Pinsky, Samantha S Soldan, Olga Vladmirova, Paul M Lieberman, Troy E Messick

Faculty, Staff and Student Publications

Purpose: A first-in-human phase I study was conducted in patients with nasopharyngeal carcinoma to assess the safety and tolerability of VK-2019, a small-molecule selective inhibitor of Epstein-Barr virus (EBV) nuclear antigen 1 (EBNA1).

Patients and methods: Pharmacokinetic and pharmacodynamic studies were performed, including the measurement of EBV DNA plasma levels. Twenty-three patients received VK-2019 orally once daily at doses ranging from 60 to 1,800 mg using an accelerated titration design, with cohort expansion at 1,800 mg. EBV genome copy number and spatial transcriptomic analyses were conducted on biopsies collected from three patients at baseline and after treatment.

Results: VK-2019 was …

Ancestral Differences In Anticancer Treatment Efficacy And Their Underlying Genomic And Molecular Alterations, Mei Luo, Jingwen Yang, Alejandro A Schäffer, Chengxuan Chen, Yuan Liu, Yamei Chen, Chunru Lin, Lixia Diao, Yong Zang, Yanyan Lou, Huda Salman, Gordon B Mills, Eytan Ruppin, Leng Han

Faculty, Staff and Student Publications

Systematic multi-omics analysis revealed ancestry-dependent molecular alterations, but their impact on the efficacy of anti-cancer treatment is yet largely unknown. Here, we analyzed clinical trials from ClinicalTrials.gov and found that only 8,779/102,721 (8.5%) oncology clinical trials posted information on enrollment by race/ethnicity. The underrepresentation of non-White populations suggests that it remains challenging to determine differences in the efficacy of anti-tumor treatments among different racial groups. Through a comprehensive analysis of clinically actionable genes, imputed drug responses, and immune features, we identified potential differences in treatment response to targeted, chemo and immunotherapies between different ancestral populations. Further analysis of multiple independent …

A Novel Sensitivity Maximization At A Given Specificity Method For Binary Classifications, Seyyed Mahmood Ghasemi, Chunhui Gu, Johannes F Fahrmann, Samir Hanash, Kim-Anh Do, James P Long, Ehsan Irajizad

Faculty, Staff and Student Publications

In the cancer early detection field, logistic regression (LR) is a frequently used approach to establish a combination rule that differentiates cancer from noncancer. However, the application of LR relies on a maximum likelihood approach, which may not yield optimal combination rules for maximizing sensitivity at a clinically desirable specificity and vice versa. In this article, we have developed an improved regression framework, sensitivity maximization at a given specificity (SMAGS), for binary classification that finds the linear decision rule, yielding the maximum sensitivity for a given specificity or the maximum specificity for a given sensitivity. We additionally expand the framework …

Immunogenetic Studies In Patients With Gad-Positive Stiff-Person Syndrome Reveal Novel Lymphocytic Genes And Klk10 -Gene Variants, Popianna Tsiortou, Harry Alexopoulos, Konstantinos Kyriakidis, Michalis Kosmidis, Chrysanthi Barba, Sofia Akrivou, Ioannis Michalopoulos, Panagiotis Politis, Marinos Dalakas

Department of Neurology Faculty Papers

BACKGROUND AND OBJECTIVES: The aim of this study was to identify genetic markers and immunologic characteristics of glutamic acid decarboxylase (GAD) antibody-positive patients with stiff-person syndrome (SPS).

METHODS: We conducted systemic immunogenetic studies in 11 GAD-positive patients: 8 with sporadic SPS and 3 from a three-generation family with very high GAD-ab titers but diverse symptomatology (one with GAD-epilepsy and SPS and 2 only with diabetes), by performing complete immunologic profile and whole-exome sequencing analysis.

RESULTS: Two genes expressed in immune and neuronal tissues were identified: the ORAI1 that codes for a calcium release–activated channel protein with a role in the …

Safety And Efficacy Of Dtx401, An Aav8-Mediated Liver-Directed Gene Therapy, In Adults With Glycogen Storage Disease Type I A (Gsdia), David A Weinstein, Terry G Derks, David F Rodriguez-Buritica, Ayesha Ahmad, María-Luz Couce, John J Mitchell, Rebecca Riba-Wolman, Malaya Mount, Julieta Bonvin Sallago, Katalin M Ross, Melanie M Van Der Klauw, Foekje De Boer, Caroline Van Der Schaaf, Heather Saavedra, Miguel Martínez-Olmos, Elvis Atanga, Asad Hosseini, Deepali Mitragotri, Eric Crombez

Faculty, Staff and Student Publications

Glycogen storage disease type Ia (GSDIa) is a rare, life‐threatening, inherited carbohydrate metabolism disorder caused by glucose‐6‐phosphatase (G6Pase) deficiency, which is essential for glycogenolysis and gluconeogenesis. GSDIa management includes a strict medically prescribed diet that typically includes daily uncooked cornstarch doses, including overnight, to maintain euglycemia. DTX401 is an investigational adeno‐associated virus serotype 8 vector expressing the human G6PC1 gene that encodes G6Pase. This open‐label, phase 1/2, dose‐escalation, 52‐week gene therapy trial evaluated the safety and efficacy of a single DTX401 infusion in 12 adults with GSDIa (ClinicalTrials.gov Identifier: NCT03517085). Three participants in Cohort 1 received DTX401 2.0 × …

Multi-Omics Delineate Growth Factor Network Underlying Exercise Effects In An Alzheimer’S Mouse Model, Xin Li, Chaozhong Liu, Wenbo Li, Guantong Qi, Yanwan Dai, Chaohao Gu, Yuxiang Sun, Wenjun Zhou, Veronica C Ciliberto, Jing Liang, Udhaya Kumar S, Dongyin Guan, Zhaoyong Hu, Hui Zheng, Zhandong Liu, Hu Chen, Ying-Wooi Wan, Zheng Sun

Duncan NRI Faculty and Staff Publications

Introduction: Physical exercise is a primary defense against age-related cognitive decline and Alzheimer's disease (AD).

Methods: We conducted single-nucleus transcriptomic and chromatin accessibility analyses (snRNA-seq and snATAC-seq) on the hippocampus of mice carrying mutations in the amyloid precursor protein gene (APPNL-G-F) following prolonged voluntary wheel-running exercise.

Results: Exercise mitigates amyloid-induced changes in transcriptome and chromatin accessibility through cell type-specific regulatory networks converging on growth factor signaling, particularly the epidermal growth factor receptor (EGFR) signaling. The beneficial effects of exercise on neurocognition can be blocked by pharmacological inhibition of EGFR and its downstream PI3K signaling. Exercise leads to elevated levels of …

Diet-Enhanced Lrg1 Expression Promotes Insulin Hypersecretion And Er Stress In Pancreatic Beta Cells, Desirae D Morales, Jiyoon Ryu, Cong Wei, Jason T Hadley, Maia R Smith, Juli Bai, Juan C Lopez-Alvarenga, Srinivas Mummidi, Ravindranath Duggirala, Jane L Lynch, Feng Liu, Lily Q Dong

Faculty, Staff and Student Publications

Aims/hypothesis: Upregulation of serum leucine-rich α-2-glycoprotein 1 (LRG1) has been implicated in diet-induced obesity and metabolic disorders. However, its specific hormonal actions remain unclear. This study aimed to determine whether diet-enhanced serum LRG1 levels promote hyperinsulinaemia by directly stimulating insulin secretion from pancreatic beta cells.

Methods: Human serum samples were obtained from individuals (both male and female) undergoing plastic surgery. Male C57BL/6 wild-type and Lrg1 whole-body knockout (Lrg1KO) mice were fed a 45% high-fat diet, with serum samples collected every 2 weeks to monitor LRG1 and insulin levels throughout diet-induced obesity. MIN6 beta cells were used to investigate the effects …

Histology-Grounded Automated Plaque Subtype Segmentation In Intravascular Optical Coherence Tomography, Paul Young, Drew Nolen, Thomas E Milner, Alexandra Gruslova, Deborah Vela, Louis Maximilian Buja, Luis A Diaz Sanmartin, Paul Rad, Marc D Feldman

Faculty, Staff and Student Publications

Background: Intravascular optical coherence tomography (IVOCT) adoption has been limited by the complexity of image interpretation. The interpretation of histologic subtypes beyond lipid, calcium, and fibrous is challenging to human readers. To assist and standardize IVOCT image analysis, we demonstrate an artificial intelligence algorithm based on a histology data set that identifies lipid pools, fibrofatty, calcified lipid, and calcified fibrous in human coronary arteries for the first time.

Methods: Sixty-seven human coronary arteries were imaged with IVOCT within 24 hours after death and then underwent histologic examination. IVOCT images were coregistered and segmented into histologic subtypes: lipid pools, fibrofatty tissue, …

Author Correction: Ctla4 Blockade Abrogates Keap1/Stk11-Related Resistance To Pd-(L)1 Inhibitors, Ferdinandos Skoulidis, Haniel A Araujo, Minh Truong Do, Yu Qian, Xin Sun, Ana Galan Cobo, John T Le, Meagan Montesion, Rachael Palmer, Nadine Jahchan, Joseph M Juan, Chengyin Min, Yi Yu, Xuewen Pan, Kathryn C Arbour, Natalie Vokes, Stephanie T Schmidt, David Molkentine, Dwight H Owen, Regan Memmott, Pradnya D Patil, Melina E Marmarelis, Mark M Awad, Joseph C Murray, Jessica A Hellyer, Justin F Gainor, Anastasios Dimou, Christine M Bestvina, Catherine A Shu, Jonathan W Riess, Collin M Blakely, Chad V Pecot, Laura Mezquita, Fabrizio Tabbó, Matthias Scheffler, Subba Digumarthy, Meghan J Mooradian, Adrian G Sacher, Sally C M Lau, Andreas N Saltos, Julia Rotow, Rocio Perez Johnson, Corinne Liu, Tyler Stewart, Sarah B Goldberg, Jonathan Killam, Zenta Walther, Kurt Schalper, Kurtis D Davies, Mark G Woodcock, Valsamo Anagnostou, Kristen A Marrone, Patrick M Forde, Biagio Ricciuti, Deepti Venkatraman, Eliezer M Van Allen, Amy L Cummings, Jonathan W Goldman, Hiram Shaish, Melanie Kier, Sharyn Katz, Charu Aggarwal, Ying Ni, Joseph T Azok, Jeremy Segal, Lauren Ritterhouse, Joel W Neal, Ludovic Lacroix, Yasir Y Elamin, Marcelo V Negrao, Xiuning Le, Vincent K Lam, Whitney E Lewis, Haley N Kemp, Brett Carter, Jack A Roth, Stephen Swisher, Richard Lee, Teng Zhou, Alissa Poteete, Yifan Kong, Tomohiro Takehara, Alvaro Guimaraes Paula, Edwin R Parra Cuentas, Carmen Behrens, Ignacio I Wistuba, Jianjun Zhang, George R Blumenschein, Carl Gay, Lauren A Byers, Don L Gibbons, Anne Tsao, J Jack Lee, Trever G Bivona, D Ross Camidge, Jhannelle E Gray, Natasha B Leighl, Benjamin Levy, Julie R Brahmer, Marina C Garassino, David R Gandara, Edward B Garon, Naiyer A Rizvi, Giorgio Vittorio Scagliotti, Jürgen Wolf, David Planchard, Benjamin Besse, Roy S Herbst, Heather A Wakelee, Nathan A Pennell, Alice T Shaw, Pasi A Jänne, David P Carbone, Matthew D Hellmann, Charles M Rudin, Lee Albacker, Helen Mann, Zhou Zhu, Zhongwu Lai, Ross Stewart, Solange Peters, Melissa L Johnson, Kwok K Wong, Alan Huang, Monte M Winslow, Michael J Rosen, Ian P Winters, Vassiliki A Papadimitrakopoulou, Tina Cascone, Philip Jewsbury, John V Heymach

Faculty, Staff and Student Publications

No abstract provided.

Predicting Chemotherapy Responsiveness In Gastric Cancer Through Machine Learning Analysis Of Genome, Immune, And Neutrophil Signatures, Shota Sasagawa, Yoshitaka Honma, Xinxin Peng, Kazuhiro Maejima, Koji Nagaoka, Yukari Kobayashi, Ayako Oosawa, Todd A Johnson, Yuki Okawa, Han Liang, Kazuhiro Kakimi, Yasuhide Yamada, Hidewaki Nakagawa

Faculty, Staff and Student Publications

Background: Gastric cancer is a major oncological challenge, ranking highly among causes of cancer-related mortality worldwide. This study was initiated to address the variability in patient responses to combination chemotherapy, highlighting the need for personalized treatment strategies based on genomic data.

Methods: We analyzed whole-genome and RNA sequences from biopsy specimens of 65 advanced gastric cancer patients before their chemotherapy treatment. Using machine learning techniques, we developed a model with 123 omics features, such as immune signatures and copy number variations, to predict their chemotherapy outcomes.

Results: The model demonstrated a prediction accuracy of 70-80% in forecasting chemotherapy responses in …

Guidelines For Minimal Reporting Requirements, Design And Interpretation Of Experiments Involving The Use Of Eukaryotic Dual Gene Expression Reporters (Mindr), Gary Loughran, Dmitry E Andreev, Ilya M Terenin, Olivier Namy, Martin Mikl, Martina M Yordanova, C Joel Mcmanus, Andrew E Firth, John F Atkins, Christopher S Fraser, Zoya Ignatova, Shintaro Iwasaki, Joanna Kufel, Ola Larsson, Sebastian A Leidel, Alexander S Mankin, Marco Mariotti, Marvin E Tanenbaum, Ivan Topisirovic, Nora Vázquez-Laslop, Gabriela Viero, Neva Caliskan, Yiwen Chen, Patricia L Clark, Jonathan D Dinman, Philip J Farabaugh, Wendy V Gilbert, Pavel Ivanov, Jeffrey S Kieft, Oliver Mühlemann, Matthew S Sachs, Ivan N Shatsky, Nahum Sonenberg, Anna-Lena Steckelberg, Anne E Willis, Michael T Woodside, Leos Shivaya Valasek, Sergey E Dmitriev, Pavel V Baranov

Faculty, Staff and Student Publications

Dual reporters encoding two distinct proteins within the same mRNA have had a crucial role in identifying and characterizing unconventional mechanisms of eukaryotic translation. These mechanisms include initiation via internal ribosomal entry sites (IRESs), ribosomal frameshifting, stop codon readthrough and reinitiation. This design enables the expression of one reporter to be influenced by the specific mechanism under investigation, while the other reporter serves as an internal control. However, challenges arise when intervening test sequences are placed between these two reporters. Such sequences can inadvertently impact the expression or function of either reporter, independent of translation-related changes, potentially biasing the results. …

Monte Carlo Modeling Of An Experimental Benchtop L-Shell X-Ray Fluorescence Imaging/Ct System Adopting Two Silicone Drift Detectors, Neerajan Nepal, Amrit Kaphle, Sandun Jayarathna, Sang Hyun Cho

Faculty, Staff and Student Publications

L-shell x-ray fluorescence (XRF) photons induced from gold nanoparticles (GNPs) after being irradiated by an x-ray beam allow for highly sensitive XRF imaging/computed tomography (XFCT) of biological samples containing GNPs at low concentrations on the order of parts-per-million (ppm). The primary goal of this Monte Carlo (MC) study was to investigate the feasibility of upgrading an existing experimental benchtop XRF/XFCT imaging setup adopting a single silicon drift detector (SDD), developed based on the aforementioned concept (often known as L-shell XFCT), by deploying another SDD within the same setup. Specifically, an MC model of the original single SDD L-shell XFCT setup, …

Proceedings Of The National Cancer Institute Workshop On Combining Immunotherapy With Radiotherapy: Challenges And Opportunities For Clinical Translation, Zachary S Morris, Sandra Demaria, Arta M Monjazeb, Silvia C Formenti, Ralph R Weichselbaum, James Welsh, Heiko Enderling, Jonathan D Schoenfeld, Joshua D Brody, Heather M Mcgee, Michele Mondini, Michael S Kent, Kristina H Young, Lorenzo Galluzzi, Sana D Karam, Willemijn S M E Theelen, Joe Y Chang, Mai Anh Huynh, Adi Daib, Sean Pitroda, Caroline Chung, Raphael Serre, Clemens Grassberger, Jie Deng, Quaovi H Sodji, Anthony T Nguyen, Ravi B Patel, Simone Krebs, Anusha Kalbasi, Caroline Kerr, Claire Vanpouille-Box, Logan Vick, Todd A Aguilera, Irene M Ong, Fernanda Herrera, Hari Menon, Deedee Smart, Jalal Ahmed, Robyn D Gartrell, Christina L Roland, Fatemeh Fekrmandi, Binita Chakraborty, Eric H Bent, Tracy J Berg, Alan Hutson, Samir Khleif, Andrew G Sikora, Lawrence Fong

Faculty, Staff and Student Publications

Radiotherapy both promotes and antagonises tumour immune recognition. Some clinical studies show improved patient outcomes when immunotherapies are integrated with radiotherapy. Safe, greater than additive, clinical response to the combination is limited to a subset of patients, however, and how radiotherapy can best be combined with immunotherapies remains unclear. The National Cancer Institute-Immuno-Oncology Translational Network-Society for Immunotherapy of Cancer-American Association of Immunology Workshop on Combining Immunotherapy with Radiotherapy was convened to identify and prioritise opportunities and challenges for radiotherapy and immunotherapy combinations. Sessions examined the immune effects of radiation, barriers to anti-tumour immune response, previous clinical trial data, immunological and …

Outcomes Of Standard-Risk Multiple Myeloma Patients Who Undergo Upfront Autologous Hematopoietic Stem Cell Transplantation, Oren Pasvolsky, Curtis Marcoux, Zhongya Wang, Denái R Milton, Babar Pal, Mark R Tanner, Qaiser Bashir, Samer Srour, Neeraj Saini, Paul Lin, Jeremy Ramdial, Yago Nieto, Guilin Tang, Naureen Syed, Yosra Aljawai, Hans C Lee, Krina K Patel, Melody R Becnel, Christine Ye, Partow Kebriaei, Sheeba K Thomas, Robert Z Orlowski, Richard E Champlin, Elizabeth J Shpall, Muzaffar H Qazilbash

Faculty, Staff and Student Publications

Patients with multiple myeloma (MM) without high-risk cytogenetic abnormalities are classified as having standard-risk MM (SRMM), and data focusing on their outcomes after autologous hematopoietic stem cell transplantation (autoHCT) are limited. We sought to evaluate survival outcomes for patients with SRMM receiving autoHCT, and to elucidate factors that impact these outcomes. This was a single-center retrospective analysis that included consecutive MM patients who received upfront autoHCT between 2013 and 2021, had available cytogenetic information and had no high-risk chromosomal abnormalities on fluorescence in situ hybridization, defined as t(4;14), t(14;16), del(17p) or 1q21 gain or amplification. A total of 1000 SRMM …

In Pursuit Of Ki-Rads: Toward A Single, Evidence-Based Imaging Classification Of Renal Masses, Stuart G Silverman, Ivan Pedrosa, Nicola Schieda, Vitaly Margulis, Payal Kapur, Matthew S Davenport

Faculty, Staff and Student Publications

Despite the successful application of Imaging Reporting and Data Systems to improve the radiologic description and management of disease in many organs, one does not yet exist for the kidney. Instead, the radiologic approach to the kidney has focused on the Bosniak classification system, which is based on imaging characteristics for cystic renal masses, and detecting macroscopic fat within solid renal masses. Radiologically, cystic and solid renal masses are categorized and evaluated separately because of historical precedent, differences in appearance at imaging, and differences in biologic behavior. However, the World Health Organization classification of renal neoplasms does not support such …

Proteasome Augmentation Mitigates Age-Related Cognitive Decline In Mice, Danitra Parker, Kanisa Davidson, Pawel A Osmulski, Maria Gaczynska, Andrew M Pickering

Faculty, Staff and Student Publications

The aging brain experiences a significant decline in proteasome function. The proteasome is critical for many key neuronal functions including neuronal plasticity, and memory formation/retention. Treatment with proteasome inhibitors impairs these processes. Our study reveals a marked reduction in 20S and 26S proteasome activities in aged mice brains, including in the hippocampus, this is driven by reduced functionality of aged proteasome. The decline in proteasome activity is matched by a decline in 20S proteasome assembly. In contrast, 26S proteasome assembly was found to increase with age, though 26S proteasome activity was still found to decline. Our data suggests that age-related …

Medical Image Segmentation Assisted With Clinical Inputs Via Language Encoder In A Deep Learning Framework, Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve Jiang, Dan Nguyen

Faculty, Staff and Student Publications

Introduction: Auto-segmentation of tumor volumes and organs at risk (OARs) is a critical step in cancer radiotherapy treatment planning, where rapid, precise adjustments to treatment plans are required to match the patient anatomy. Although auto-segmentation has been clinically accepted for most OARs, auto-segmentation of tumor volumes, particularly clinical target volumes (CTVs), remains a challenge. This difficulty arises because images alone are often insufficient to capture the necessary information for accurate delineation of microscopic tumor invasion invisible on the image itself.

Methods: We propose a deep learning-based medical image segmentation framework designed to mimic the clinical process of delineating CTVs and …

Elder Mistreatment Within Stroke Family Caregiving, Carina Katigbak, Wesley R Browning, Sean Savitz, Carolyn E Z Pickering

Faculty, Staff and Student Publications

This secondary data analysis sought to identify characteristics associated with mistreatment among chronic stroke survivors who transition to dementia. We examined baseline data from a multi-time series survey study (n = 453; where caregivers of those with stroke n = 107, and those without stroke, n = 346) on caregiving experiences influencing dementia family caregivers’ abusive or neglectful behaviors. Inferential statistical analysis indicated that baseline mistreatment rates were similar across stroke and non-stroke subgroups, though this finding was not significant. Caregiver depression was significantly associated with mistreatment. Multi-morbidity, prescription medication use, and limited mobility were more common among stroke …

Difference-Makers For Collecting Sexual Orientation And Gender Identity Data In Oncology Settings, Mandi L Pratt-Chapman, Edward J Miech, Megan A Mullins, Shine Chang, Gwendolyn P Quinn, Shail Maingi, Matthew B Schabath, Charles Kamen

Faculty, Staff and Student Publications

Purpose: The purpose of this analysis was to identify key difference-making conditions that distinguish oncology institutions that collect sexual orientation and gender identity (SOGI) data across a sample of American Society of Clinical Oncology (ASCO) members.

Methods: From October to November 2020, an anonymous 54-item web-based survey was distributed to ASCO members. Coincidence analysis was used to identify difference-making conditions for the collection of SOGI data.

Results: ASCO members' responses to just three items consistently distinguished practices that reported collecting both SO and GI data (n = 25) from those who did not (n = 20): (1)."Do you ask your …

An Automated Treatment Planning Portfolio For Whole Breast Radiotherapy, Hana Baroudi, Leonard Che Fru, Deborah Schofield, Dominique L Roniger, Callistus Nguyen, Donald Hancock, Christine Chung, Beth M Beadle, Kent A Gifford, Tucker Netherton, Joshua S Niedzielski, Adam Melancon, Manickam Muruganandham, Meena Khan, Simona F Shaitelman, Sanjay Shete, Patricia Murina, Daniel Venencia, Sheeba Thengumpallil, Conny Vrieling, Joy Zhang, Melissa P Mitchell, Laurence E Court

Faculty, Staff and Student Publications

Background: Automation in radiotherapy presents a promising solution to the increasing cancer burden and workforce shortages. However, existing automated methods for breast radiotherapy lack a comprehensive, end-to-end solution that meets varying standards of care.

Purpose: This study aims to develop a complete portfolio of automated radiotherapy treatment planning for intact breasts, tailored to individual patient factors, clinical approaches, and available resources.

Methods: We developed five automated conventional treatment approaches and utilized an established RapidPlan model for volumetric arc therapy. These approaches include conventional tangents for whole breast treatment, two variants for supraclavicular nodes (SCLV) treatment with/without axillary nodes, and two …

Combining Radioembolization And Immune Checkpoint Inhibitors For The Treatment Of Hepatocellular Carcinoma: The Quest For Synergy, Christopher D Malone, Suryansh Bajaj, Aiwu He, Kabir Mody, Ryan M Hickey, Ammar Sarwar, Sunil Krishnan, Tushar C Patel, Beau B Toskich

Faculty, Staff and Student Publications

Hepatocellular carcinoma is a leading and increasing contributor to cancer-related death worldwide. Recent advancements in both liver-directed therapies in the form of yttrium-90 (90Y) radioembolization (RE) and systemic therapy in the form of immune checkpoint inhibitors (ICI) have expanded treatment options for patients with an otherwise poor prognosis. Despite these gains, ICIs and 90Y-RE each have key limitations with low objective response rates and persistent hazard of out-of-field recurrence, respectively, and overall survival remains low. However, each therapy's strength may mitigate the other's weakness, making them potentially ideal partners for combination treatment strategies. This review discusses the scientific and clinical …

Qsp Modeling Shows Pathological Synergism Between Insulin Resistance And Amyloid-Beta Exposure In Upregulating Vcam1 Expression At The Bbb Endothelium, Zengtao Wang, Vaishnavi Veerareddy, Xiaojiao Tang, Kevin J Thompson, Sunil Krishnan, Krishna R Kalari, Karunya K Kandimalla

Faculty, Staff and Student Publications

Type 2 diabetes mellitus (T2DM), characterized by insulin resistance, is closely associated with Alzheimer's disease (AD). Cerebrovascular dysfunction is manifested in both T2DM and AD, and is often considered as a pathological link between the two diseases. Insulin signaling regulates critical functions of the blood-brain barrier (BBB), and endothelial insulin resistance could lead to BBB dysfunction, aggravating AD pathology. However, insulin signaling is intrinsically dynamic and involves interactions among numerous molecular mediators. Hence, a mechanistic systems biology model is needed to understand how insulin regulates BBB physiology and the consequences of its impairment in T2DM and AD. In this study, …

Rhabdoid Tumor Of The Kidney And Soft Tissues: Results From National Wilms Tumor Study-5 And Children's Oncology Group Study Aren0321, James I Geller, Lindsay A Renfro, Paul E Grundy, Elizabeth J Perlman, John A Kalapurakal, Peter F Ehrlich, Jackie Biegel, Vicki Huff, Anne B Warwick, Arnold Paulino, Elizabeth A Mullen, Najat C Daw, Fredric A Hoffer, Zelig Tochner, Kenneth Gow, Eric Gratias, Deborah A Ward, James R Anderson, Conrad V Fernandez, Jeffrey S Dome

Faculty, Staff and Student Publications

Purpose: National Wilms Tumor Study-5 (NWTS-5) and AREN0321 evaluated the outcomes of children with rhabdoid tumor of the kidney (RTK) and malignant rhabdoid tumor of soft tissues (MRT).

Patients and methods: Eligible patients with RTK were enrolled prospectively on NWTS-5 (1995-2002) and treated with carboplatin and etoposide alternating with cyclophosphamide (Regimen RTK). Patients with RTK or MRT were enrolled on AREN0321 (2005-2012) and received vincristine, doxorubicin, and cyclophosphamide alternating with carboplatin, cyclophosphamide, and etoposide (Regimens UH-1 or dose-reduced Revised UH-1). We report event-free survival (EFS) and overall survival (OS) from each study.

Results: Thirty patients received Regimen RTK on NWTS-5; …

An Antibody-Toxin Conjugate Targeting Cd47 Linked To The Bacterial Toxin Listeriolysin O For Cancer Immunotherapy, Benjamin R Schrank, Yifan Wang, Annette Wu, Nhat Tran, Daeyong Lee, Jared Edwards, Kristin Huntoon, Shiyan Dong, Jonghoon Ha, Yifan Ma, Adam J Grippin, Seong Dong Jeong, Abin Antony, Mengyu Chang, Minjeong Kang, Thomas D Gallup, Albert C Koong, Jing Li, Kyuson Yun, Betty Y S Kim, Wen Jiang

Faculty, Staff and Student Publications

Antigen-presenting cells phagocytose tumor cells and subsequently cross-present tumor-derived antigens. However, these processes are impeded by phagocytosis checkpoints and inefficient cytosolic transport of antigenic peptides from phagolysosomes. Here, using a microbial-inspired strategy, we engineered an antibody-toxin conjugate (ATC) that targets the 'don't eat me' signal CD47 linked to the bacterial toxin listeriolysin O from the intracellular bacterium Listeria monocytogenes via a cleavable linker (CD47-LLO). CD47-LLO promotes cancer cell phagocytosis by macrophages followed by LLO release and activation to form pores on phagolysosomal membranes that enhance antigen cross-presentation of tumor-derived peptides and activate cytosolic immune sensors. CD47-LLO treatment in vivo significantly …

Wmh Contributions To Cognitive Impairment: Rationale And Design Of The Diverse Vcid Study, Charles Decarli, Kumar B Rajan, Lee-Way Jin, Jason Hinman, David K Johnson, Danielle Harvey, Myriam Fornage

Faculty, Staff and Student Publications

As awareness of dementia increases, more individuals with minor cognitive complaints are requesting clinical assessment. Neuroimaging studies frequently identify incidental white matter hyperintensities, raising patient concerns about their brain health and future risk for dementia. Moreover, current US demographics indicate that ≈50% of these individuals will be from diverse backgrounds by 2060. Racial and ethnic minority populations bear a disproportionate burden of vascular risk factors magnifying dementia risk. Despite established associations between white matter hyperintensities and cognitive impairment, including dementia, no study has comprehensively and prospectively examined the impact of individual and combined magnetic resonance imaging measures of white matter …

Seq-Scope: Repurposing Illumina Sequencing Flow Cells For High-Resolution Spatial Transcriptomics, Yongsung Kim, Weiqiu Cheng, Chun-Seok Cho, Yongha Hwang, Yichen Si, Anna Park, Mitchell Schrank, Jer-En Hsu, Angelo Anacleto, Jingyue Xi, Myungjin Kim, Ellen Pedersen, Olivia I Koues, Thomas Wilson, Changhee Lee, Goo Jun, Hyun Min Kang, Jun Hee Lee

Faculty, Staff and Student Publications

Spatial transcriptomics technologies aim to advance gene expression studies by profiling the entire transcriptome with intact spatial information from a single histological slide. However, the application of spatial transcriptomics is limited by low resolution, limited transcript coverage, complex procedures, poor scalability and high costs of initial setup and/or individual experiments. Seq-Scope repurposes the Illumina sequencing platform for high-resolution, high-content spatial transcriptome analysis, overcoming these limitations. It offers submicrometer resolution, high capture efficiency, rapid turnaround time and precise annotation of histopathology at a much lower cost than commercial alternatives. This protocol details the implementation of Seq-Scope with an Illumina NovaSeq 6000 …

American Association Of Physicists In Medicine (Aapm) Chapter Climate Check: Mixed Methods Analysis Of Survey Responses, Ashley J Cetnar, Ghada Aldosary, Meghan C Koo, Holly Lincoln, Angélica Pérez-Andújar, Surendra Prajapati, Samantha J Simiele, Kristi R G Hendrickson

Faculty, Staff and Student Publications

Introduction: The American Association of Physicists in Medicine (AAPM) recently shared results and recommendations from its first Equity, Diversity, and Inclusion (EDI) Climate Survey, which was designed to assess the climate at the workplace, the AAPM organization, and the AAPM regional chapter level. This work further explores the status of EDI at the regional chapter level.

Methods: AAPM's EDI Survey was distributed to 5500 members and had a response rate of 25%. In the survey, three open-ended comment boxes were provided for feedback, including one for regional AAPM members. Sixty-four percent of respondents indicated they were part of a regional …