Genetic Phenomena Commons^™

Multi-Ancestry Transcriptome-Wide Association Studies Of Cognitive Function, White Matter Hyperintensity, And Alzheimer's Disease, Dima L Chaar, Zheng Li, Lulu Shang, Scott M Ratliff, Thomas H Mosley, Sharon L R Kardia, Wei Zhao, Xiang Zhou, Jennifer A Smith

Faculty, Staff and Student Publications

Genetic variants increase the risk of neurocognitive disorders in later life, including vascular dementia (VaD) and Alzheimer's disease (AD), but the precise relationships between genetic risk factors and underlying disease etiologies are not well understood. Transcriptome-wide association studies (TWASs) can be leveraged to better characterize the genes and biological pathways underlying genetic influences on disease. To date, almost all existing TWASs on VaD and AD have been conducted using expression studies from individuals of a single genetic ancestry, primarily European. Using the joint likelihood-based inference framework in Multi-ancEstry TRanscriptOme-wide analysis (METRO), we leveraged gene expression data from European ancestry (EA) …

Molecular Model Of Tfiih Recruitment To The Transcription-Coupled Repair Machinery, Tanmoy Paul, Chunli Yan, Jina Yu, Susan E Tsutakawa, John A Tainer, Dong Wang, Ivaylo Ivanov

Faculty, Staff and Student Publications

Transcription-coupled repair (TCR) is a vital nucleotide excision repair sub-pathway that removes DNA lesions from actively transcribed DNA strands. Binding of CSB to lesion-stalled RNA Polymerase II (Pol II) initiates TCR by triggering the recruitment of downstream repair factors. Yet it remains unknown how transcription factor IIH (TFIIH) is recruited to the intact TCR complex. Combining existing structural data with AlphaFold predictions, we build an integrative model of the initial TFIIH-bound TCR complex. We show how TFIIH can be first recruited in an open repair-inhibited conformation, which requires subsequent CAK module removal and conformational closure to process damaged DNA. In …

Consensus Recommendations For An Integrated Diagnostic Approach To Peripheral Nerve Sheath Tumors Arising In The Setting Of Neurofibromatosis Type 1, Calixto-Hope G Lucas, Andrea M Gross, Carlos G Romo, Carina A Dehner, Alexander J Lazar, Markku Miettinen, Melike Pekmezci, Martha Quezado, Fausto J Rodriguez, Anat Stemmer-Rachamimov, David Viskochil, Arie Perry

Faculty, Staff and Student Publications

Consensus recommendations published in 2017 histologically defining atypical neurofibromatous neoplasm of uncertain biologic potential (ANNUBP) and malignant peripheral nerve sheath tumor (MPNST) were codified in the 2021 WHO Classification of Tumors of the Central Nervous System and the 2022 WHO Classification of Tumors of Soft Tissue and Bone. However, given the shift in diagnostic pathology toward the use of integrated histopathologic and genomic approaches, the incorporation of additional molecular strata in the classification of Neurofibromatosis Type 1 (NF1)-associated peripheral nerve sheath tumors should be formalized to aid in accurate diagnosis and early identification of malignant transformation and enable appropriate intervention …

Immunotherapy-Related Neurotoxicity In The Central Nervous System Of Children With Cancer, Jiasen He, Jeremy Connors, Andrew Meador, Shuo Xu, Heather Meador, Hong Jiang, Juan Fueyo, Candelaria Gomez-Manzano, Gregory K Friedman, Wafik Zaky, Zsila Sadighi, John M Slopis, Ali H Ahmad

Faculty, Staff and Student Publications

Significant gaps remain in our understanding of immunotherapy-related neurotoxicity in pediatric patients, largely because much of our knowledge comes from studies in adults. Accurately identifying the adverse effects of immunotherapy in children is also challenging, owing to variations in terminology and grading systems. Moreover, the manifestation of immunotherapy-related neurotoxicity differs greatly across different diseases, various modalities, dosages, and delivery methods. Combining immunotherapy with other treatments might improve outcomes but introduces new complexities and potential for increased toxicities. Additionally, pediatric patients with intracranial malignancy have unique responses to immunotherapies and distinct neurotoxicity compared to those with extracranial malignancy. Consequently, we must …

Cryptic Kmt2a::Afdn Fusion Due To Afdn Insertion Into Kmt2a In A Patient With Acute Monoblastic Leukemia, Qing Wei, Gokce A Toruner, Beenu Thakral, Keyur P Patel, Naveen Pemmaraju, Sa A Wang, Rashmi Kanagal-Shamanna, Guilin Tang, Ghayas C Issa, Sanam Loghavi, L Jeffrey Medeiros, Courtney Dinardo

Faculty, Staff and Student Publications

Background: KMT2A rearrangements occur in ~10% of acute myeloid leukemia (AML) cases and are critical for classification, risk stratification, and use of targeted therapy. However, insertions involving the KMT2A gene can evade detection using chromosomal analysis and/or fluorescence in situ hybridization (FISH).

Methods: We present a case of a 22-year-old woman with acute monoblastic leukemia harboring a cryptic KMT2A::AFDN fusion identified by RNA sequencing. Initial FISH showed a 3' KMT2A deletion, while conventional karyotyping and the automated bioinformatic pipeline for optical genome mapping (OGM) did not identify the canonical translocation.

Results: To resolve these discrepancies, metaphase KMT2A FISH (break-apart fusion …

Cryptic Kmt2a::Afdn Fusion Due To Afdn Insertion Into Kmt2a In A Patient With Acute Monoblastic Leukemia, Qing Wei, Gokce A Toruner, Beenu Thakral, Keyur P Patel, Naveen Pemmaraju, Sa A Wang, Rashmi Kanagal-Shamanna, Guilin Tang, Ghayas C Issa, Sanam Loghavi, L Jeffrey Medeiros, Courtney Dinardo

Faculty, Staff and Student Publications

Background: KMT2A rearrangements occur in ~10% of acute myeloid leukemia (AML) cases and are critical for classification, risk stratification, and use of targeted therapy. However, insertions involving the KMT2A gene can evade detection using chromosomal analysis and/or fluorescence in situ hybridization (FISH).

Methods: We present a case of a 22-year-old woman with acute monoblastic leukemia harboring a cryptic KMT2A::AFDN fusion identified by RNA sequencing. Initial FISH showed a 3' KMT2A deletion, while conventional karyotyping and the automated bioinformatic pipeline for optical genome mapping (OGM) did not identify the canonical translocation.

Results: To resolve these discrepancies, metaphase KMT2A FISH (break-apart fusion …

Genome-Wide Prediction Of Dominant And Recessive Neurodevelopmental Disorder-Associated Genes, Ryan S Dhindsa, Blake A Weido, Justin S Dhindsa, Arya J Shetty, Chloe F Sands, Slavé Petrovski, Dimitrios Vitsios, Anthony W Zoghbi

Duncan NRI Faculty and Staff Publications

Despite great progress, thousands of neurodevelopmental disorder (NDD) risk genes remain to be discovered. We present a computational approach that accelerates NDD risk gene identification using machine learning. First, we demonstrate that models trained solely on single-cell RNA sequencing data can robustly predict genes implicated in autism spectrum disorder (ASD), developmental and epileptic encephalopathy (DEE), and developmental delay (DD). Notably, we find differences in gene expression patterns of genes with monoallelic and bi-allelic inheritance patterns in the developing human cortex. We then integrate expression data with 300 orthogonal features, including intolerance metrics, protein-protein interaction data, and others, in a semi-supervised …

Structure-Function Relationship Of Ash1l And Histone H3k36 And H3k4 Methylation, Kendra R Vann, Rajal Sharma, Chih-Chao Hsu, Maeva Devoucoux, Adam H Tencer, Lei Zeng, Kevin Lin, Li Zhu, Qin Li, Catherine Lachance, Ruben Rosas Ospina, Qiong Tong, Ka Lung Cheung, Shuai Yang, Soumi Biswas, Hongwen Xuan, Jovylyn Gatchalian, Lorena Alamillo, Jianlong Wang, Suk Min Jang, Brianna J Klein, Yue Lu, Patricia Ernst, Brian D Strahl, Scott B Rothbart, Martin J Walsh, Michael L Cleary, Jacques Côté, Xiaobing Shi, Ming-Ming Zhou, Tatiana G Kutateladze

Faculty, Staff and Student Publications

The histone H3K36-specific methyltransferase ASH1L plays a critical role in development and is frequently dysregulated in human diseases, particularly cancer. Here, we report on the biological functions of the C-terminal region of ASH1L encompassing a bromodomain (ASH1LBD), a plant homeodomain (ASH1LPHD) finger, and a bromo-adjacent homology (ASH1LBAH) domain, structurally characterize these domains, describe their mechanisms of action, and explore functional crosstalk between them. We find that ASH1LPHD recognizes H3K4me2/3, whereas the neighboring ASH1LBD and ASH1LBAH have DNA binding activities. The DNA binding function of ASH1LBAH is a driving force for the association of ASH1L with the linker DNA in the …

Identification Of Genes Associated With Testicular Germ Cell Tumor Susceptibility Through A Transcriptome-Wide Association Study, Emilio Ugalde-Morales, Rona Wilf, John Pluta, Alexander Ploner, Mengyao Fan, Mohammad Damra, Katja K Aben, Lynn Anson-Cartwright, Chu Chen, Victoria K Cortessis, Siamak Daneshmand, Alberto Ferlin, Marija Gamulin, Jourik A Gietema, Anna Gonzalez-Niera, Tom Grotmol, Robert J Hamilton, Mark Harland, Trine B Haugen, Russ Hauser, Michelle A T Hildebrandt, Robert Karlsson, Lambertus A Kiemeney, Jung Kim, Davor Lessel, Ragnhild A Lothe, Chey Loveday, Stephen J Chanock, Katherine A Mcglynn, Coby Meijer, Kevin T Nead, Jeremie Nsengimana, Maja Popovic, Thorunn Rafnar, Lorenzo Richiardi, Maria S Rocca, Stephen M Schwartz, Rolf I Skotheim, Kari Stefansson, Douglas R Stewart, Clare Turnbull, David J Vaughn, Sofia B Winge, Tongzhang Zheng, Alvaro N Monteiro, Kristian Almstrup, Peter A Kanetsky, Katherine L Nathanson, Fredrik Wiklund, Testicular Cancer Consortium

Faculty, Staff and Student Publications

Transcriptome-wide association studies (TWASs) have the potential to identify susceptibility genes associated with testicular germ cell tumors (TGCTs). We conducted a comprehensive TGCT TWAS by integrating genome-wide association study (GWAS) summary data with predicted expression models from normal testis, TGCT tissues, and a cross-tissue panel that encompasses shared regulatory features across 22 normal tissues, including the testis. Gene associations were evaluated while accounting for variant-level effects from GWASs, followed by fine-mapping analyses in regions exhibiting multiple TWAS signals, and finally supplemented by colocalization analysis. Expression and protein patterns of identified TWAS genes were further examined in relevant tissues. Our analysis …

Pspc1 Exerts An Oncogenic Role In Aml By Regulating A Leukemic Transcription Program In Cooperation With Pu1, Juyeong Hong, Pinpin Sui, Ying Li, Kerryn Y Xu, Ji-Hoon Lee, Juan Wang, Shi Chen, Peng Zhang, Noah Wingate, Asra Noor, Yaxia Yuan, Robert Hromas, Hongwei Zhou, Karina Hamamoto, Rui Su, C Cameron Yin, Fengxi Ye, Andrés E Quesada, Jianjun Chen, Suming Huang, Daohong Zhou, M James You, Feng-Chun Yang, Jianlong Wang, Mingjiang Xu

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) is an aggressive hematopoietic malignancy characterized by the blockage of myeloid cell differentiation and uncontrolled proliferation of immature myeloid cells. Here, we show that paraspeckle component 1 (PSPC1) is aberrantly overexpressed and associated with poor survival in AML patients. Using human AML cells and mouse models, we demonstrate that PSPC1 is not required for normal hematopoiesis, but it is critical and essential for AML cells to maintain their leukemic characteristics. PSPC1 loss induces robust differentiation, suppresses proliferation, and abolishes leukemogenesis in diverse AML cells. Mechanistically, PSPC1 exerts a pro-leukemia effect by regulating a unique leukemic transcription …

Sequence Variants In Hectd1 Result In A Variable Neurodevelopmental Disorder, Gazelle Zerafati-Jahromi, Elias Oxman, Hieu D Hoang, Wu-Lin Charng, Tanvitha Kotla, Weimin Yuan, Keito Ishibashi, Sonia Sebaoui, Kathryn Luedtke, Bryce Winrow, Rebecca D Ganetzky, Anna Ruiz, Carmen Manso-Basúz, Nino Spataro, Peter Kannu, Taryn Athey, Christina Peroutka, Caitlin Barnes, Richard Sidlow, George Anadiotis, Kari Magnussen, Irene Valenzuela, Alejandro Moles-Fernandez, Seth Berger, Christina L Grant, Eric Vilain, Gudny A Arnadottir, Patrick Sulem, Telma S Sulem, Kari Stefansson, Shavonne Massey, Natalie Ginn, Annapurna Poduri, Alissa M D'Gama, Rozalia Valentine, Sara K Trowbridge, Chaya N Murali, Rachel Franciskovich, Yen Tran, Bryn D Webb, Kim M Keppler-Noreuil, April L Hall, Bobbi Mcgivern, Kristin G Monaghan, Maria J Guillen Sacoto, Dustin Baldridge, Gary A Silverman, Sonika Dahiya, Tychele N Turner, Tim Schedl, Joshua G Corbin, Stephen C Pak, Irene E Zohn, Christina A Gurnett

Faculty, Staff and Students Publications

Dysregulation of genes encoding the homologous to E6AP C-terminus (HECT) E3 ubiquitin ligases has been linked to cancer and structural birth defects. One member of this family, the HECT-domain-containing protein 1 (HECTD1), mediates developmental pathways, including cell signaling, gene expression, and embryogenesis. Through GeneMatcher, we identified 14 unrelated individuals with 15 different variants in HECTD1 (10 missense, 3 frameshift, 1 nonsense, and 1 splicing variant) with neurodevelopmental disorders (NDDs), including autism, attention-deficit/hyperactivity disorder, and epilepsy. Of these 15 HECTD1 variants, 10 occurred de novo, 3 had unknown inheritance, and 2 were compound heterozygous. While all individuals in this cohort displayed …

2024 Lifetime Achievement Award: Biology Unbalanced: Genes, Gene Dosage, And Disease Susceptibility, James R Lupski

Faculty, Staff and Students Publications

This article is based on the address given by the author at the 2024 meeting of The American Society of Human Genetics (ASHG) in Denver, CO. A video of the original address can be found at the ASHG website.

Drbioright 20: An Llm-Powered Bioinformatics Chatbot For Large-Scale Cancer Functional Proteomics Analysis, Wei Liu, Jun Li, Yitao Tang, Yining Zhao, Chaozhong Liu, Meiyi Song, Zhenlin Ju, Shwetha V Kumar, Yiling Lu, Rehan Akbani, Gordon B Mills, Han Liang

Faculty, Staff and Student Publications

Functional proteomics provides critical insights into cancer mechanisms, facilitating the discovery of novel biomarkers and therapeutic targets. We have developed a comprehensive cancer functional proteomics resource using reverse phase protein arrays, incorporating data from nearly 8000 patient samples from The Cancer Genome Atlas and approximately 900 samples from the Cancer Cell Line Encyclopedia. Our dataset includes a curated panel of nearly 500 high-quality antibodies, covering all major cancer hallmark pathways. To enhance the accessibility and analytic power of this resource, we introduce DrBioRight 2.0 ( https://drbioright.org ), an intuitive bioinformatic platform powered by state-of-the-art large language models. DrBioRight enables researchers …

Photoacoustic Imaging For Image-Guided Gastric Tube Placement: Ex Vivo Characterization, Samuel John, Yeidi Yuja Vaquiz, Nikhila Nyayapathi, Loay Kabbani, Anoop Nilam, Jonathan F Lovell, Nicole A Wilson, Yan Yan, Mohammad Mehrmohammadi

Faculty, Staff and Student Publications

Over 250,000 gastrostomy tubes (G-tubes) are placed annually in the United States. Percutaneous endoscopic gastrostomy (PEG) is the most widely used clinical method for placing G-tubes within the stomach. However, endoscope detectability is limited due to the scattering of light by tissues. Poor organ visibility and low sensitivity of the palpation techniques cause blind needle insertions, which cause colon/liver perforations, abdominal bleeding, and gastric resections. Additionally, imaging artifacts and the poor distinguishability between water-filled tissues make ultrasound (US) imaging-based techniques incompatible with G-tube placement. The risk of ionizing radiation exposure and the confinement of fluoroscopy to radiology suites limits its …

Learning Directed Acyclic Graphs For Ligands And Receptors Based On Spatially Resolved Transcriptomic Data Of Ovarian Cancer, Shrabanti Chowdhury, Sammy Ferri-Borgogno, Peng Yang, Wenyi Wang, Jie Peng, Samuel C Mok, Pei Wang

Faculty, Staff and Student Publications

To unravel the mechanism of immune activation and suppression within tumors, a critical step is to identify transcriptional signals governing cell-cell communication between tumor and immune/stromal cells in the tumor microenvironment. Central to this communication are interactions between secreted ligands and cell-surface receptors, creating a highly connected signaling network among cells. Recent advancements in in situ-omics profiling, particularly spatial transcriptomic (ST) technology, provide unique opportunities to directly characterize ligand-receptor signaling networks that power cell-cell communication. In this paper, we propose a novel statistical method, LRnetST, to characterize the ligand-receptor interaction networks between adjacent tumor and immune/stroma cells based on ST …

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 …

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 × …

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 …

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. …

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 …

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 …