Life Sciences Commons^™

A Comparative Study Of Statistical Methods For Identifying Differentially Expressed Genes In Spatial Transcriptomics, Yishan Wang, Chenxuan Zang, Ziyi Li, Charles C Guo, Dejian Lai, Peng Wei

Faculty, Staff and Student Publications

Spatial transcriptomics (ST) provides unprecedented insights into gene expression patterns while retaining spatial context, making it a valuable tool for understanding complex tissue architectures, such as those found in cancers. Seurat, by far the most popular tool for analyzing ST data, uses the Wilcoxon rank-sum test by default for differential expression analysis. However, as a nonparametric method that disregards spatial correlations, the Wilcoxon test can lead to inflated false positive rates and misleading findings. This limitation highlights the need for a more robust statistical approach that effectively incorporates spatial correlations. To this end, we propose a Generalized Estimating Equations (GEE) …

Circulating Metabolites, Genetics And Lifestyle Factors In Relation To Future Risk Of Type 2 Diabetes, Jun Li, Jie Hu, Huan Yun, Zhendong Mei, Xingyan Wang, Kai Luo, Marta Guasch-Ferré, Xikun Han, Buu Truong, Jordi Merino, Chengyong Jia, Miguel Ruiz-Canela, Casey M Rebholz, Eun Hye Moon, Taryn Alkis, Guning Liu, Jie Yao, Xiyuan Zhang, Bianca C Porneala, Jordi Salas-Salvadó, Thomas J Wang, Josée Dupuis, Elizabeth Selvin, Xiuqing Guo, Shilpa N Bhupathiraju, Jennifer A Brody, Yongmei Liu, Alexis C Wood, Kari E North, Su Yon Jung, Ching-Ti Liu, Nona Sotoodehnia, Simin Liu, Lesley F Tinker, A Heather Eliassen, Joann E Manson, Jose C Florez, Robert E Gerszten, Clary B Clish, Liming Liang, Rozenn N Lemaitre, Katherine L Tucker, Stephen S Rich, Jerome I Rotter, Miguel Angel Martínez-González, Kathryn M Rexrode, James B Meigs, Eric Boerwinkle, Robert C Kaplan, Frank B Hu, Bing Yu, Qibin Qi

Faculty, Staff and Student Publications

The human metabolome reflects complex metabolic states affected by genetic and environmental factors. However, metabolites associated with type 2 diabetes (T2D) risk and their determinants remain insufficiently characterized. Here we integrated blood metabolomic, genomic and lifestyle data from up to 23,634 initially T2D-free participants from ten cohorts. Of 469 metabolites examined, 235 were associated with incident T2D during up to 26 years of follow-up, including 67 associations not previously reported across bile acid, lipid, carnitine, urea cycle and arginine/proline, glycine and histidine pathways. Further genetic analyses linked these metabolites to signaling pathways and clinical traits central to T2D pathophysiology, including …

Partial Laryngectomy For Thyroid Cancer: A Single Institution Case Series With Operative Techniques, Ella E Hawes, Victoria E Banuchi, Anastasios Maniakas, Jennifer R Wang, Paul H Graham, Julia D Diersing, Naifa L Busaidy, Maria E Cabanillas, Ramona Dadu, Sarah Hamidi, Priyanka Iyer, Steven G Waguespack, Salmaan Ahmed, Sahar Alizada, Alexandra Belcastro, Ranim Alsharif, Mimi I Hu, Mark E Zafereo

Faculty, Staff and Student Publications

Background: Partial laryngectomy has been well described as a management option for T1-3 laryngeal squamous cell cancers. However, there are a few case reports of partial laryngeal surgery for locally advanced thyroid carcinoma.

Methods: This is a case series of five patients with thyroid carcinoma (one primary and four recurrent) with laryngeal involvement who underwent partial laryngectomy.

Results: All patients had complete surgical resection without perioperative complications or postoperative speech or swallowing deficits, and none required a feeding tube or tracheostomy tube. No patients had postoperative radiation therapy or started systemic therapy within 2 years of surgery, while two patients …

Circulating Fatty Acid Binding Protein 4 (Fabp-4) Concentrations And Mortality In Individuals With Colorectal Cancer In The European Prospective Investigation Into Cancer And Nutrition Study, Thu Thi Pham, Katharina Nimptsch, Krasimira Aleksandrova, Mazda Jenab, Veronika Fedirko, Anja Olsen, Anne Tjønneland, Claire Cadeau, Gianluca Severi, Matthias B Schulze, Renée Turzanski Fortner, Verena Katzke, Claudia Agnoli, Carlotta Sacerdote, Rosario Tumino, Simona Signoriello, Camino Trobajo-Sanmartín, Jesús-Humberto Gómez, María-Dolores Chirlaque, Maria-Jose Sánchez, Marta Crous-Bou, Anne May, Alicia Heath, Dagfinn Aune, Elisabete Weiderpass, Tobias Pischon

Faculty, Staff and Student Publications

Human fatty acid binding protein‐4 (FABP‐4), a protein elevated in obesity that promotes colon cancer cell invasiveness and metastasis, may be associated with higher mortality in individuals with colorectal cancer (CRC) and may serve as a mediator of the obesity–mortality association in these individuals. We used a causal diagram to inform covariate selection and applied Cox proportional hazards models to estimate hazard ratios (HRs) for CRC‐specific, non‐CRC‐specific, and all‐cause mortality by FABP‐4 levels measured in baseline blood samples from 1371 incident CRC cases from the European Prospective Investigation into Cancer and Nutrition cohort. Competing risk analyses were adapted for CRC …

Identification Of Raptor And Gli1 As Usp37 Substrates Highlight Its Context-Specific Function In Medulloblastoma Cells, Ashutosh Singh, Donghang Cheng, Amanda R Haltom, Yanwen Yang, Tara Dobson, Rashieda Hatcher, Veena Rajaram, Vidya Gopalakrishnan

Faculty, Staff and Student Publications

The USP37 gene encodes a deubiquitylase (DUB), which catalyzes the proteolytic removal of ubiquitin moieties from proteins to modulate their stability, cellular localization or activity. Its expression is downregulated in a subgroup of medulloblastomas driven by constitutive activation of sonic hedgehog (SHH) signaling. Patients with SHH-driven medulloblastomas with elevated expression of the RE1 silencing transcription factor (REST) and reduced expression of USP37 have poor outcomes. In previous studies, we showed sustained proliferation of SHH-medulloblastoma cells due to blockade of terminal cell cycle exit and neuronal differentiation stemming from a failure in USP37-dependent stabilization of its target, the cyclin-dependent kinase inhibitor …

Presenilin L166p Mutation, A Model Of Familial Alzheimer's Disease, Leads To Early Onset Bone Loss, Vidyani Suryadevara, Connor J Krehbial, Anuradha K Valiya, Melinda Vang, Julian Balanta-Melo, Pierre P Eleniste, Sumana Posritong, Jung Min Hong, Katie Chester, Gabriel M Pagnotti, Teresita Bellido, Monte S Willis, Angela Bruzzaniti

Faculty, Staff and Student Publications

Accelerated bone loss has been reported in the early stages of Alzheimer's disease (AD) as indicated by reduced bone mineral density and increased fracture risk in these patients, compared to healthy individuals. In the present study, we investigated bone loss in mouse models of familial Alzheimer's disease harboring the Presenilin 1 (L166P) knock-in mutation (PSEN1 KI), with or without the human amyloid precursor protein transgene (hAPP Tg+) known to induce brain amyloid pathology by 6 months. Female and not male 12-month PSEN1/hAPP Tg+ mice exhibited reduced whole-body bone mineral density and bone mineral content, compared to sex-matched controls. Consistent with …

Retrospective Analysis Of Cutaneous Immune-Related Adverse Events Following Checkpoint Inhibitor Therapy In Melanoma Patients Reveals Increased Risk Associated With The Hla-B*51:01 Allele, Mckenzie Dileo, Samantha Oglesby, Cheuk Hong Leung, Kristen E Pauken, Sahira Farooq, Lauren E Haydu, Shelby L Kubicki, Rebeca Martinez, Macartney Welborn, Sana Zahiruddin, Jun Zou, Kai Cao, Anisha B Patel

Faculty, Staff and Student Publications

Background: While immune checkpoint inhibitors (ICIs) have shown significant efficacy, a common side effect is cutaneous immune-related adverse events (irAEs). This study focuses on exploring the association between specific human leukocyte antigen (HLA) alleles and the development of cutaneous irAEs in melanoma patients undergoing ICI monotherapy and combination therapy. As certain HLA types are indicative of susceptibility to autoimmune diseases, it was hypothesized that HLA typing could serve as a potential screening tool for identifying patients at increased risk for developing irAEs.

Methods: A retrospective chart review was performed of 515 patients with melanoma who underwent ICI therapy, either as …

Acta2 Pathogenic Variants Activating Heat Shock Factor 1 And Increasing Cholesterol Biosynthesis In Smooth Muscle Cells Predispose To Early Onset Atherosclerosis, Maura L Boerio, Abhijnan Chattopadhyay, Xue-Yan Duan, Aamuktha Karla, Ernesto Calderon Martinez, Amelie Pinard, Andrew K Morse, Darshan Reddy, Sree Dharma, Walter Velasco-Torrez, Julien Marcadier, Siddharth K Prakash, Sherene Shalhub, Julie De Backer, Richmond Jeremy, Shaine A Morris, Anji T Yetman, Alan C Braverman, Dianna M Milewicz

Faculty, Staff and Student Publications

Background: ACTA2 pathogenic variants predispose to thoracic aortic disease, and a subset of variants lead to early onset atherosclerotic cardiovascular disease (ASCVD). The molecular pathway linking misfolded SMA (α-smooth muscle actin) monomers to augmented atherosclerosis-associated smooth muscle cell phenotypic modulation can be modeled in vitro by stably expressing the ACTA2 p.R149C variant in Acta2-/- smooth muscle cells.

Methods: The Montalcino Aortic Consortium patient registry was used to identify cases with ACTA2 pathogenic/likely pathogenic missense variants. These patients were surveyed, and medical records were reviewed, to identify cases with early onset ASCVD. The variants for these cases, as well as …

Quantitative Analysis Of Robustness-Based Versus Let-Based Optimization In Intensity-Modulated Proton Therapy For Pediatric Brain Tumors, Fariha Kabir Torsha, Gino Lim, Hadis Moazami Goudarzi, Radhe Mohan, David Grosshans, Wenhua Cao

Faculty, Staff and Student Publications

Purpose: To perform a quantitative analysis of the trade-off between robustness-based and linear energy transfer (LET)-based optimization of intensity-modulated proton therapy for anatomically challenging pediatric brain tumor cases.

Methods: Three pediatric brain tumor patients were included in this study. Three plans were generated for each case based on: (1) nominal optimization, without considering uncertainties and LET; (2) robust optimization, including proton range and patient setup uncertainties; and (3) LET optimization, considering increasing LET in the target and reducing LET in normal tissues. All plans were optimized with individually fine-tuned objective weighing to obtain highest achievable target coverage and meet dose …

Who Classification Of Skin Tumours: Key Updates In The Fifth Edition, Gabrielle Goldman-Lévy, Raymond Barnhill, Boris C Bastian, Werner Kempf, David Elder, Pedram Gerami, Wayne Grayson, Dmitry Kazakov, Daniela Massi, Jane Messina, Arnaud De La Fouchardière, Alexander J Lazar, Thomas Brenn, Brian Rous, Andrew Field, Anthony Gill, Jennelle C Hodge, Joseph D Khoury, Katia Leite, Shahin Sayed, Puay Hoon Tan, Rosalie Elenitsas, Eduardo Calonje, Lyn M Duncan, Liang Zhiyong, Holger Moch, Rajendra Singh, Harshima Wijesinghe, Ian Cree, Dilani Lokuhetty

Faculty, Staff and Student Publications

The 5th edition of the World Health Organization Classification of Tumours (WCT) serves as a foundation for global diagnostic standards in tumour pathology. Similar to other volumes in this series, the Skin Tumours (Skin5) edition follows a standardized approach. This edition introduces two new chapters: 'Tumours of the nail unit' and 'Metastases to skin', along with new entities across relevant chapters. This review article provides an overview of the updates in Skin5 based on currently published evidence, with emphasis on newly introduced chapters and newly described entities that involve the skin, in particular, epidermal, melanocytic and appendageal tumours.

A Guide To Transcriptomic Deconvolution In Cancer, Yaoyi Dai, Shuai Guo, Yidan Pan, Carla Castignani, Matthew D Montierth, Peter Van Loo, Wenyi Wang

Faculty, Staff and Student Publications

Cancer tissues are heterogeneous mixtures of tumour, stromal and immune cells, where each component comprises multiple distinct cell types and/or states. Mapping this heterogeneity and understanding the unique contributions of each cell type to the tumour transcriptome is crucial for advancing cancer biology, yet high-throughput expression profiles from tumour tissues only represent combined signals from all cellular sources. Computational deconvolution of these mixed signals has emerged as a powerful approach to dissect both cellular composition and cell-type-specific expression patterns. Here, we provide a comprehensive guide to transcriptomic deconvolution, specifically tailored for cancer researchers, presenting a systematic framework for selecting and …

The Pandemic Effect: Secondary Impact On The Diagnosis Of Clinically Significant Congenital Heart Disease And Role Of Deprivation Index, Cassandra Campbell, Kristin Wyckoff, Ronak Naik, Nithya Swaminathan, Salima Ahmed Bhimani, Jason Johnson, Vijaya Joshi, Ranjit Philip

Faculty, Staff and Student Publications

We sought to determine the impact of the COVID-19 on prenatal diagnosis (PND) of clinically significant congenital heart disease (CHD) and the role of socioeconomic status (SES), complexity of diagnosis, and proximity to advance testing. This single-center retrospective study evaluated 2 eras of infants (COVID (born July 1, 2020–July 31, 2023) and pre-COVID (born June 1, 2017–July 1, 2020) who had cardiac surgery in the first year of life. 512 infants, 292 in pre-COVID era and 220 in COVID era with no significant difference in the rate of prenatal care (PNC) or PND in the COVID era (88%/42%) versus pre-COVID …

Decellularized Extracellular Matrix Scaffolds To Engineer The Dormant Landscape Of Microscopic Colorectal Cancer Liver Metastasis, Sabrina N Vandenheuvel, Lucia L Nash, Abigail J Clevenger, Claudia A Collier, Oscar R Benavides, Sanjana Roy, Brinlee Goggans, Aelita Salikhova, Anvitha Tharakesh, Svasti Haricharan, Amber N Stratman, Scott Kopetz, Alex J Walsh, Shreya A Raghavan

Faculty, Staff and Student Publications

Recurrent liver-metastatic colorectal cancer contributes to high mortality. Recurrence occurs when dormant, microscopic residual disease survives initial treatment to escape dormancy. In their dormant, microscopic state within the liver, these metastatic lesions are undetectable by clinical diagnostic imaging until they form overt, chemoresistant metastases. Therefore, understanding the molecular mechanisms underlying dormancy in colorectal cancer liver metastases is a significant knowledge gap, motivating the engineering of nuanced in vitro models of disease. The current work presents an engineered model of liver-metastatic colorectal cancer dormancy. Decellularized extracellular matrix (dECM) scaffolds are used to provide microscopic colorectal cancer cell clusters with a biomimetic, …

50k4life: A Smart Study Protocol To Improve Walking Engagement In Public School Employees On The Us-Mexico Border, Jennifer J Salinas, Susan W Buchholz, Zenong Yin, Jennifer L Gay, Jing Wang, Janani Rajbhandari-Thapa, Mark G Wilson, Erin Finley, Zuber Mulla, Elizabeth Ramirez, Deborah Parra Medina

Faculty, Staff and Student Publications

Introduction: Mexican Americans living in the U.S.-Mexico border region suffer disproportionately from preventable cardiometabolic and cancer diseases. Workplace health promotion programs that include physical activity promotion are promising strategies to address this public health problem to improve physical activity engagement. Workplace-based programs can increase moderate to vigorous physical activity (MVPA) engagement while addressing barriers associated with inactivity.

Methods: We plan to conduct a clustered Sequential Multiple Assignment Randomized Trial (SMART) to determine the effectiveness of a workplace walking challenge intervention - 50,000 for Life (50K4Life) - in improving brisk walking engagement (at least 7000 steps/day, representing approximately 50,000 steps/week) for …

Leveraging Large Language Models For Heuristic Usability Assessment Of Medical Software: Insights With The Radiation Planning Assistant, Laurence E Court, Jacobus Smit, Lourens Strauss, William Shaw, Andrea Marais, Christoph Trauernicht, Nanette Joubert, Elaine Smith, Shona Badre, Graeme L Lazarus, Thekiso Khotle, Lauren Netherton, Wanda Van Heerden, Carlos Cardenas, Monica Serban, Jan Seuntjens, Christine V Chung, Pavel Govyadinov, Meena Khan, Saurabh Nair, Tucker Netherton, Lifei Zhang

Faculty, Staff and Student Publications

Background: Usability engineering is essential for ensuring the safety and effectiveness of medical software, as design-related issues are a leading cause of use errors in clinical settings. Heuristic evaluation provides a practical approach to identifying usability problems, but its outcomes depend heavily on expert interpretation. Large Language Models (LLMs), such as ChatGPT, offer a potential means to augment heuristic evaluation by generating structured, context-aware usability feedback. This study explored the use of ChatGPT to support heuristic assessment of the Radiation Planning Assistant (RPA), a web-based radiotherapy planning tool designed to support clinical teams in low- and middle-income countries.

Methods: ChatGPT …

Convolutional Neural Networks For Automatic Tuber Segmentation And Quantification Of Tuber Burden In Tuberous Sclerosis Complex, Iván Sánchez Fernández, Matheus D Soldatelli, Gillian N Miller, Catharina F Gout, Ellen C Broekhuizen, Iris C J Den Hertog, Daan A Pijs, Errol Apostolopoulos, Prabhjot Kaur, Abdelhakim Ouaalam, Martina E Bebin, Hope Northrup, Darcy A Krueger, Joyce Y Wu, Alexander L Cohen, Mustafa Sahin, Davood Karimi, Simon K Warfield, Jurriaan M Peters

Faculty, Staff and Student Publications

Objective: This study was undertaken to develop a fully automated algorithm for tuber segmentation and quantification of tuber volume that performs similarly to the gold standard human neuroradiologist.

Methods: We used brain magnetic resonance imaging (MRI) from patients with tuberous sclerosis complex (TSC) to train and validate a convolutional neural network (CNN), which was evaluated on segmentation with the Dice-Sørensen similarity coefficient (DSSC) and on tuber burden quantification with Spearman correlation coefficient against a neuroradiologist's gold standard in the test set.

Results: We collected 263 MRIs from 196 patients (57% males) with median (25th percentile-75th percentile) age of 4.3 (3.0-10.1) …

The American College Of Radiology Diagnostic Fluoroscopy Dose Index Registry Pilot: Dosimetric Performance And Benchmarking Challenges, Steve D Mann, Donald L Miller, Grant Fong, Allen R Goode, Emily L Marshall, Thomas Nishino, Pavlina Boxx, Liqiang Ren, Celalettin Topbas, Alan H Schoenfeld, Vivek Singh, Jie Zhang

Faculty, Staff and Student Publications

Background: The ACR Diagnostic Fluoroscopy Dose Index Registry (DIR-Fluoro) is expanding to include diagnostic fluoroscopy. Variations in dose reference points and overhead radiography events may introduce unique challenges for benchmarking.

Purpose: To survey the technological status and dosimetric performance of fluoroscopes participating in the DIR-Fluoro pilot project, focusing on longitudinal stability and variability of fluoroscopic dose reporting accuracy across multiple institutions and vendors.

Methods: Sixty-six fluoroscopic systems from nine institutions (24 facilities) were surveyed for facility type, fluoroscope type, image receptor type, age, dose reporting capabilities, and other key features. Of these, 56 were evaluable. Semi-annual measurements assessed reference air …

Investigation Of Teratogenic Concerns In The Coronavirus Disease Of 2019 Era, Kate Richardson, Emily C Daykin, Kathleen Shields, S Shahrukh Hashmi, Lorrie Harris-Sagaribay, Molly Daniels, Myla Ashfaq

Faculty, Staff and Student Publications

Background: MotherToBaby (MTB) is a teratogen information service that provides information about exposures during pregnancy and breastfeeding to the public and healthcare providers. During the Coronavirus Disease of 2019 (COVID-19) pandemic, MTB received an influx of queries regarding the teratogenicity of the virus and the vaccine. The purpose of this study was to assess the frequency and type of exposures asked about prior to the onset of the COVID-19 pandemic through March 2022 and to evaluate the demographics of individuals who made inquiries.

Methods: Data from MTB contacts (2018-2022) were accessed through a data-sharing agreement. The data were cleaned and …

Development And Implementation Of An Mri-Only Simulation, Planning, And Treatment Workflow For Prostate Radiotherapy Using Synthetic Ct On Mr-Linac, Reza Reiazi, Yao Ding, Sarath Vijayan, Jinzhong Yang, Ergys Subashi, Yao Zhao, Belinda M Lee, Hunter L Emory, Vi T Dinh, Greg L Swiedom, Jie Deng, Mu-Han Lin, Peter Balter, Rajat J Kudchadker, Elaine E Cha, Seungtaek Choi, Yusung Kim, Eun Young Han, Surendra Prajapati

Faculty, Staff and Student Publications

Purpose: We evaluated the feasibility of a magnetic resonance (MR)-only simulation, planning, and treatment (MROSPT) workflow for prostate cancer patients using synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) data. By validating sCT-based dose calculations, we aimed to streamline radiotherapy workflows, eliminate the need for CT simulation, and enable reliable clinical implementation of MR-based radiotherapy for MR-linac (MRL).

Methods: We developed a comprehensive workflow encompassing the entire process from initial consultation to treatment delivery. After developing the workflow, a retrospective dosimetric validation study was performed on nine men with prostate cancer. They underwent CT and MRI simulations, and …

Melody: Mediation Analysis In Logistic Regression For High-Dimensional Mediators And A Binary Outcome, Sunyi Chi, Xingyu Li, Peng Wei, Xuelin Huang

Faculty, Staff and Student Publications

Mediation analysis is a pivotal tool for elucidating the indirect effect of an environmental factor or treatment on disease through potentially high‐dimensional omics data, such as gene expression profiles. However, traditional mediation analysis methods tailored for binary outcomes often rely on the rare disease assumption in logistic regression and provide inadequate measures of total mediation effect when multiple mediators have effects in different directions. In this paper, we develop a MEdiation analysis framework in LOgistic regression for high‐Dimensional mediators and a binarY outcome (MELODY). It leverages a second‐moment‐based measure analogous to the ��2 for linear models to quantify the total …

Hypoglossal Neuropathy In The Pathogenesis Of Fibrosis-Related Late-Radiation Associated Dysphagia: A Correlative Analysis Utilizing Electromyography To Explore The Frequency Of Clinical And Subclinical Neuropathy In A Pilot Dysphagia Trial, Holly Mcmillan, Christine Okoro, Sheila Buoy, Karin Woodman, Nicolaas Anderson, Clifton Fuller, Stephen Y Lai, Katherine Hutcheson

Faculty, Staff and Student Publications

Background: Late radiation-associated dysphagia (late-RAD) commonly presents in patients with signs of hypoglossal neuropathy, with hallmark clinical features including lingual atrophy, deviation, and fasciculation. Gold-standard electromyography (EMG) has not been used to explore the frequency of hypoglossal neuropathy in patients with late-RAD.

Methods: Exploratory post hoc secondary analysis of MANTLE trial (NCT03612531) was completed. The presence of cranial nerve XII (CN XII) neuropathy was classified by (1) features of clinical assessment as well as (2) intramuscular genioglossus EMG pre-MANTLE intervention in disease-free HNC survivors ≥ 2 years post-radiotherapy (RT) with grade ≥ 2 fibrosis and dysphagia.

Results: All …

Impact Of Treatment Interruption On Outcomes In Head And Neck Cancer: Nrg/Rtog Secondary Analysis, Laila A Gharzai, Emily Morris, Matthew J Schipper, Kelley M Kidwell, Phuc Felix Nguyen-Tân, David I Rosenthal, Maura L Gillison, Richard C Jordan, Adam S Garden, Shlomo A Koyfman, Jimmy J Caudell, Dukagjin M Blakaj, Neal E Dunlap, Greg A Krempl, John M Longo, Christopher U Jones, Michael F Gensheimer, Thomas J Galloway, Lyudmila Demora, Quynh-Thu Le, Jennifer L Shah, Krithika Suresh, Michelle Mierzwa

Faculty, Staff and Student Publications

Importance: Historical evidence demonstrated that delays or interruptions in radiotherapy (RT) are associated with poorer oncologic outcomes in head and neck squamous cell carcinoma (HNSCC). Substantial concerns arose during the COVID-19 pandemic, when treatment schedules were frequently disrupted.

Objective: To determine the association of RT interruptions with locoregional failure (LRF) and overall survival (OS).

Design, setting, and participants: This retrospective review and secondary analysis of 3 randomized clinical trials (NRG/RTOG 0129, 0522, and 1016) included patients enrolled in the trials who were treated with RT. Patients with HNSCC were grouped as (1) p16-positive oropharynx (p16+ OPSCC) and (2) p16-negative oropharynx …

Bet Inhibitor-Based Combinations Targeting Novel Dependencies In Mecom-Rearranged (R) Aml, Christine E Birdwell, Warren Fiskus, Christopher P Mill, Tapan M Kadia, Naval Daver, Courtney D Dinardo, Koji Sasaki, John A Davis, Kaberi Das, Hanxi Hou, Antrix Jain, Anna Malovannaya, Lauren B Flores, Rasoul Pourebrahim, Selina Yuan, Xiaoping Su, Michele Ceribelli, Kapil N Bhalla

Faculty, Staff and Student Publications

MECOM rearrangement in AML involves either inv(3)(q21;q26.2) or t(3;3)(q21;q26.2), where the dislocated GATA2 enhancer drives overexpression of the transcriptional regulator EVI1, causes concomitant GATA2 repression, and promotes AML progression, aggressive phenotype and therapy refractoriness. Treatment with BET protein inhibitor (BETi) induces in vitro and in vivo efficacy in MECOM-r AML cells. Utilizing an unbiased, high-throughput drug screen, focused on mechanistically-annotated drugs, we identified BRD4, PIK3CA, mTOR, BCL-xL and XIAP as dependencies in the MECOM-r AML cells. Monotherapy with mivebresib (BETi), dactolisib (PI3K/mTORi) and LCL161 (IAPi) dose-dependently induced greater lethality in PD MECOM-r versus non-MECOM-r AML cells. RNA-Seq and/or mass spectrometry …

Proceedings Of The Second Artificial Intelligence In Primary Immunodeficiency (Aipi) Meeting, Jacques G Rivière, Lisa Bastarache, Luiza C Campos, Gerard Carot-Sans, Aaron Chin, Rumi Chunara, Charlotte Cunningham-Rundles, Lorenzo Erra, Jocelyn Farmer, Nicolas Garcelon, Elena Hsieh, Helen Leavis, Seungwon Lee, Liangying Liu, Maaike Kusters, Brian C Lloyd, Alexandra K Martinson, Rachel Mester, Justin B Moore, Despina Moshous, Jordan S Orange, Nefatia Parrish, Sarah Henrickson Parker, Bogdan Pasaniuc, Xiao P Peng, Martine Pergent, Jordi Piera-Jiménez, Jessica Quinn, Sidharth Ramesh, Kirk Roberts, Peter N Robinson, Guergana Savova, Christopher Scalchunes, Markus G Seidel, Rachel Simoneau, Pere Soler-Palacin, Kathleen E Sullivan, Marielle Van Gijn, Chung-Il Wi, Dawei Zhou, Vanessa Tenembaum, Manish J Butte, Nicholas L Rider

Faculty, Staff and Student Publications

The use of artificial intelligence (AI) in inborn errors of immunity offers transformative potential in diagnostics and disease management but faces multiple challenges that were discussed at the second Artificial Intelligence in Primary Immunodeficiency conference, held in New York City (March 19-22, 2025). The conference addressed 7 themes: predictive diagnostic algorithms, health equity, industry collaboration, advanced computational tools like large language models, patient-led AI initiatives, multiomics integration, and implementation science. Discussions highlighted the growing impact of AI on diagnostics, genomics, and health systems, emphasizing the need for high-quality, diverse datasets and ethical safeguards to ensure equitable application. Participants stressed that …

Scper: A Rigorous Computational Approach To Determine Cellular Subtypes In Tumors Aligned With Cancer Phenotypes From Total Rna Sequencing, Bingrui Li, Xiaobo Zhou, Raghu Kalluri

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) is a powerful technique for understanding cellular diversity, but processing large patient cohorts to identify phenotype-associated cell populations remains challenging. Here, scPER (Estimating cell Proportions using single-cell RNA-seq Reference), a rigorous approach combining adversarial autoencoder and extreme gradient boosting to estimate tumor microenvironment cell compositions and identify phenotype-associated subclusters for bulk RNA-seq samples. Integrating scRNA-seq datasets from diverse studies, scPER constructed comprehensive reference panels and disentangled confounders from true signals. scPER achieved superior accuracy in cellular proportion estimation compared to CIBERSORTx, BayesPrism, Scaden, MuSiC, SCDC, DeSide and ReCIDE. It showed high accuracy in predicting metastatic melanoma …

Supercharging-Enhanced Ndia-Ms Enables Global Profiling Of Drug-Induced Proteome Solubility Shifts, Yun Xiong, Huimin Zhang, Lin Tan, Bo Wei, John N Weinstein, Philip L Lorenzi

Faculty, Staff and Student Publications

Mass spectrometry (MS) is indispensable for high-throughput quantitation of protein expression. But protein function is regulated by factors beyond abundance alone. Here, we evaluate two supercharging reagents, dimethyl sulfoxide (DMSO) and m-nitrobenzyl alcohol (mNBA), in narrow-window data-independent acquisition (nDIA)-MS. DMSO markedly enhances MS signal and protein identification, whereas mNBA primarily increases peptide identifications. Optimizating nDIA-MS with 3% DMSO boosts signal intensity by up to 56%, enabling identification of ~9,600 proteins from 1 µg HeLa digest in 15 min. Using this methodology, we quantify solubility and abundance changes in 8,694 proteins across three cell lines following short-term treatment with the proteasome …

Downregulation Of Slc40a1 Leads To Iron Accumulation In Fibrotic Lung Fibroblasts, Quanjin Dang, Chaoqun Huang, Yurong Liang, Akshaya Surendran, Dharanya Muthiah, Kishore Vaddadi, Sankha Hewawasam, Tingting W Mills, Lin Liu

Faculty, Staff and Student Publications

Iron is an essential nutrient for almost all organisms. However, excess iron generates reactive oxygen species and causes tissue injuries. Iron is implicated in idiopathic pulmonary fibrosis (IPF). In this study, we examined iron accumulation in fibrotic lung fibroblasts and the underlying mechanisms. We hypothesize that the downregulation of Solute Carrier Family 40 Member 1 (SLC40A1) results in iron accumulation in lung fibroblasts of IPF patients. Using a Prussian Blue iron staining, we found that iron accumulated in the fibrotic region of the lungs from IPF patients and bleomycin- and asbestos-induced lung fibrosis mice. Iron was partially co-localized with the …

The Origin Of Hepatocellular Carcinoma Depends On Metabolic Zonation, Jason Guo, Roger Liang, Andrew Chung, Zhijie Li, Boyuan Li, Eric Chen, Lin Li, Jingjing Wang, Meng-Hsiung Hsieh, Ivy Xiangyi Fang, Benjamin Kroger, Yunguan Wang, Min Zhu, Xiongzhao Ren, Greg Mannino, Yuemeng Jia, Yonglong Wei, Stephen Moore, Daniel J Siegwart, Stephen S Chung, Zixi Wang, Tripti Sharma, Suman Komjeti, Yi Han, Purva Gopal, Guanghua Xiao, Tao Wang, Hao Zhu

Faculty, Staff and Student Publications

The origin of cancer is poorly understood because premalignant cells are rarely followed in their native environments. Although the spatial compartmentalization of metabolic functions is critical for proper liver function, it is unknown whether cancers arise from some zones but not others and whether there are metabolic determinants of cancer risk. Zone-specific, mosaic introduction of Ctnnb1 (catenin beta 1) and Arid2 (AT-rich interaction domain 2) mutations, commonly co-mutated genes in hepatocellular carcinoma (HCC), in mouse models showed that position and metabolic context determine clone fates. Ctnnb1/Arid2-driven cancers were much more likely to arise in zone 3. The …

Differentiation In The Human Urothelia Is Defined By Distinct Alternative Polyadenylation, Ninh B Le, Surbhi Sona, Briana Santo, Yi Zhang, Rosie Ou, R Allen Schweickart, Veena Kochat, William I Padron, Kunal Rai, Shih-Han Lee, Joo Mi Yi, Oliver Wessely, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Distinct epithelial cell states arise during differentiation, but mechanisms generating transcriptomic diversity among them remain poorly defined. The human ureter urothelium contains basal progenitor, intermediate cells, and terminally differentiated umbrella cells. Prior single-cell RNA sequencing revealed similar global gene expression profiles across these states, raising the question of how distinct identities emerge. Here, we show that alternative cleavage and polyadenylation (APA) introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels. Analysis of 13,544 urothelial cells identified hundreds of differentiation-associated APA events. Single-cell imaging revealed spatially specific APA patterns, and reporter assays demonstrated …

Differentiation In The Human Urothelia Is Defined By Distinct Alternative Polyadenylation, Ninh B Le, Surbhi Sona, Briana Santo, Yi Zhang, Rosie Ou, R Allen Schweickart, Veena Kochat, William I Padron, Kunal Rai, Shih-Han Lee, Joo Mi Yi, Oliver Wessely, Byron H Lee, Angela H Ting

Faculty, Staff and Student Publications

Distinct epithelial cell states arise during differentiation, but mechanisms generating transcriptomic diversity among them remain poorly defined. The human ureter urothelium contains basal progenitor, intermediate cells, and terminally differentiated umbrella cells. Prior single-cell RNA sequencing revealed similar global gene expression profiles across these states, raising the question of how distinct identities emerge. Here, we show that alternative cleavage and polyadenylation (APA) introduces a major layer of transcriptomic diversity during urothelial differentiation, largely independent of changes in mRNA levels. Analysis of 13,544 urothelial cells identified hundreds of differentiation-associated APA events. Single-cell imaging revealed spatially specific APA patterns, and reporter assays demonstrated …