Biomedical Informatics Commons^™

Cell Cycle Progression Of Under-Replicated Cells, Min Huang, Chang Yang, Litong Nie, Huimin Zhang, Dandan Zhu, Chao Wang, Jeong-Min Park, Mrinal Srivastava, Elina Mosa, Siting Li, Mengfan Tang, Xu Feng, Sarah J Keast, Fabio Stossi, Junjie Chen

Faculty, Staff and Student Publications

Cell cycle checkpoints are the regulatory mechanisms that secure the strict order of cellular events for cell division that ensure genome integrity. It has been proposed that mitosis initiation depends on the completion of DNA replication, which must be tightly controlled to guarantee genome duplication. Contrary to these conventional hypotheses, we showed here that cells were able to enter mitosis without completion of DNA replication. Although DNA replication was not completed in cells upon depletion of MCM2, CDC45 or GINS4, these under-replicated cells progressed into mitosis, which led to cell death. These unexpected results challenge current model and suggest the …

Cansar 2024-An Update To The Public Drug Discovery Knowledgebase, Phillip W Gingrich, Rezvan Chitsazi, Ansuman Biswas, Chunjie Jiang, Li Zhao, Joseph E Tym, Kevin M Brammer, Jun Li, Zhigang Shu, David S Maxwell, Jeffrey A Tacy, Ioan L Mica, Michael Darkoh, Patrizio Di Micco, Kaitlyn P Russell, Paul Workman, Bissan Al-Lazikani

Faculty, Staff and Student Publications

canSAR (https://cansar.ai) continues to serve as the largest publicly available platform for cancer-focused drug discovery and translational research. It integrates multidisciplinary data from disparate and otherwise siloed public data sources as well as data curated uniquely for canSAR. In addition, canSAR deploys a suite of curation and standardization tools together with AI algorithms to generate new knowledge from these integrated data to inform hypothesis generation. Here we report the latest updates to canSAR. As well as increasing available data, we provide enhancements to our algorithms to improve the offering to the user. Notably, our enhancements include a revised ligandability classifier …

Urban Sensing In The Era Of Large Language Models, Ce Hou, Fan Zhang, Yong Li, Haifeng Li, Gengchen Mai, Yuhao Kang, Ling Yao, Wenhao Yu, Yao Yao, Song Gao, Min Chen, Yu Liu

Faculty, Staff and Student Publications

Urban sensing has become increasingly important as cities evolve into the centers of human activities. Large language models (LLMs) offer new opportunities for urban sensing based on commonsense and worldview that emerged through their language-centric framework. This paper illustrates the transformative impact of LLMs, particularly in the potential of advancing next-generation urban sensing for exploring urban mechanisms. The discussion navigates through several key aspects, including enhancing knowledge transfer between humans and LLM, urban mechanisms awareness, and achieve automated decision-making with LLM agents. We emphasize the potential of LLMs to revolutionize urban sensing, offering a more comprehensive, efficient, and in-depth understanding …

Dimensionality Reduction For Visualizing Spatially Resolved Profiling Data Using Spasne, Yuansheng Zhou, Chen Tang, Xue Xiao, Xiaowei Zhan, Tao Wang, Guanghua Xiao, Lin Xu

Faculty, Staff and Student Publications

Background: Spatially resolved profiling technologies to quantify transcriptomes, epigenomes, and proteomes have been emerging as groundbreaking methods for comprehensive molecular characterizations. Dimensionality reduction and visualization is an essential step to analyze and interpret spatially resolved profiling data. However, state-of-the-art dimensionality reduction methods for single-cell sequencing data, such as the t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation and projection (UMAP), were not tailored for spatially resolved profiling data.

Results: Here we developed a spatially resolved t-SNE (SpaSNE) method to integrate both spatial and molecular information. We applied it to a variety of public spatially resolved profiling datasets that were …

Intrinsic Adaptive Plasticity In Mouse And Human Sensory Neurons, Lisa A Mcilvried, John Smith Del Rosario, Melanie Y Pullen, Andi Wangzhou, Tayler D Sheahan, Andrew J Shepherd, Richard A Slivicki, John A Lemen, Theodore J Price, Bryan A Copits, Robert W Gereau

Faculty, Staff and Student Publications

In response to changes in activity induced by environmental cues, neurons in the central nervous system undergo homeostatic plasticity to sustain overall network function during abrupt changes in synaptic strengths. Homeostatic plasticity involves changes in synaptic scaling and regulation of intrinsic excitability. Increases in spontaneous firing and excitability of sensory neurons are evident in some forms of chronic pain in animal models and human patients. However, whether mechanisms of homeostatic plasticity are engaged in sensory neurons of the peripheral nervous system (PNS) is unknown. Here, we show that sustained depolarization (induced by 24-h incubation in 30 mM KCl) induces compensatory …

The Association Of The Chemotherapy Response Score And Homologous Recombination Deficiency In Patients Undergoing Interval Tumor Reductive Surgery Following Neoadjuvant Chemotherapy, Roni Nitecki Wilke, Jinsong Liu, Shannon Neville Westin, Bryan M Fellman, Travis T Sims, Melissa Pham, Kelly Rangel, Esther Sey, Jose Alejandro Rauh-Hain, Karen H Lu, Anil K Sood, Nicole D Fleming

Faculty, Staff and Student Publications

Objectives: In patients undergoing interval tumor reductive surgery, a good response to neoadjuvant chemotherapy may limit available tumor for homologous recombination deficiency testing. The objective of this study was to assess whether the chemotherapy response score predicts homologous recombination status.

Methods: We identified patients with advanced epithelial ovarian cancer (diagnosed January 2019 to 20 June 2023) who received neoadjuvant chemotherapy, underwent interval surgery, and for whom a chemotherapy response score was reported (1=no or minimal tumor response, 2=appreciable tumor response, 3=complete or near complete response with no residual tumor). Comparisons were made using ANOVAs or Kruskal-Wallis test for continuous variables …

Plural Molecular And Cellular Mechanisms Of Pore Domain, Timothy J Abreo, Emma C Thompson, Anuraag Madabushi, Kristen L Park, Heun Soh, Nissi Varghese, Carlos G Vanoye, Kristen Springer, Jim Johnson, Scotty Sims, Zhigang Ji, Ana G Chavez, Miranda J Jankovic, Bereket Habte, Aamir R Zuberi, Cathleen M Lutz, Zhao Wang, Vaishnav Krishnan, Lisa Dudler, Stephanie Einsele-Scholz, Jeffrey L Noebels, Alfred L George, Atul Maheshwari, Anastasios Tzingounis, Edward C Cooper

Faculty, Staff and Students Publications

KCNQ2 variants in children with neurodevelopmental impairment are difficult to assess due to their heterogeneity and unclear pathogenic mechanisms. We describe a child with neonatal-onset epilepsy, developmental impairment of intermediate severity, and KCNQ2 G256W heterozygosity. Analyzing prior KCNQ2 channel cryoelectron microscopy models revealed G256 as a node of an arch-shaped non-covalent bond network linking S5, the pore turret, and the ion path. Co-expression with G256W dominantly suppressed conduction by wild-type subunits in heterologous cells. Ezogabine partly reversed this suppression. Kcnq2G256W/+ mice have epilepsy leading to premature deaths. Hippocampal CA1 pyramidal cells from G256W/+ brain slices showed hyperexcitability. G256W/+ pyramidal …

Couple-Based Lifestyle Intervention For Minority Prostate Cancer Survivors: A Randomized Feasibility Trial, Dalnim Cho, Yisheng Li, Karen Basen-Engquist, Chiara Acquati, Nga T T Nguyen, Hilary Ma, Curtis A Pettaway, Lorna H Mcneill

Faculty, Staff and Student Publications

Background: Black and Hispanic prostate cancer (PCa) survivors, who face a high burden of comorbid conditions and often engage in low levels of physical activity and healthy eating, remain significantly underrepresented in lifestyle intervention studies.

Purpose: Given the significance of spousal influence, we developed a culturally tailored lifestyle intervention for these survivors and their spouses and assessed its feasibility, acceptability, and impact on behavioral change.

Methods: Survivor-spouse couples were randomly assigned to an intervention group (n = 22), which received 12 health-coaching calls over 6 months, or a usual-care control group (n = 9). Assessments were conducted at baseline (T1), …

Cyclin E1/Cdk2 Activation Defines A Key Vulnerability To Wee1 Kinase Inhibition In Gynecological Cancers, Daehwan Kim, Heekyung Chung, Wen Liu, Kangjin Jeong, Tugba Y Ozmen, Furkan Ozmen, Matthew J Rames, Sangyub Kim, Xiao Guo, Nathan Jameson, Petrus R De Jong, Steven Yea, Laurie Harford, Jiali Li, Cara A Mathews, Deborah B Doroshow, Vincent J Charles, Doris Kim, Kimberlee Fischer, Ahmed A Samatar, Adrian Jubb, Kevin D Bunker, Kimberly Blackwell, Fiona Simpkins, Funda Meric-Bernstam, Gordon B Mills, Olivier Harismendy, Jianhui Ma, Mark R Lackner

Faculty, Staff and Student Publications

Upregulation of Cyclin E1 and subsequent activation of CDK2 accelerates cell cycle progression from G1 to S phase and is a common oncogenic driver in gynecological malignancies. WEE1 kinase counteracts the effects of Cyclin E1/CDK2 activation by regulating multiple cell cycle checkpoints. Here we characterized the relationship between Cyclin E1/CDK2 activation and sensitivity to the selective WEE1 inhibitor azenosertib. We found that ovarian cancer cell lines with high levels of endogenous Cyclin E1 expression or forced overexpression were exquisitely sensitive to azenosertib and these results extended to in vivo models of ovarian and uterine serous carcinoma. Models with high Cyclin …

Early Treatment Discontinuation In Patients With Deficient Mismatch Repair Or Microsatellite Instability High Metastatic Colorectal Cancer Receiving Immune Checkpoint Inhibitors, Julien Taieb, Margherita Ambrosini, Emily Alouani, Sara Lonardi, Frank A Sinicrope, Marie Decraecker, Alice Boileve, Emilie Hafliger, Thibault Mazard, Simon Pernot, Pauline Parent, Javier Ros, Michael J Overman, Priya Jayachandran, Vincenzo Nasca, Lisa Salvatore, Rosine Guimbaud, Chiara Cremolini, David Tougeron, Filippo Pietrantonio

Faculty, Staff and Student Publications

Background: Immune checkpoint inhibitors (ICIs) are recommended to treat patients with deficient mismatch repair/microsatellite instability high (dMMR/MSI-H) metastatic colorectal cancer (mCRC). Pivotal trials have fixed a maximum ICI duration of 2 years, without a compelling rationale. A shorter treatment duration has the potential to improve patients' quality of life and reduce both toxicity and cost without compromising efficacy. Here we examine whether early treatment discontinuation (ETD) before 13 months in patients without progressive disease (PD) can lead to similar long-term disease control compared with a longer treatment duration (LTD).

Methods: To assess whether ETD is associated with similar outcomes compared …

Comprehensive Characterization Of The Transcriptional Landscape In Alzheimer’S Disease (Ad) Brains, Chengxuan Chen, Zhao Zhang, Yuan Liu, Wei Hong, Hande Karahan, Jun Wang, Wenbo Li, Lixia Diao, Meichen Yu, Andrew J Saykin, Kwangsik Nho, Jungsu Kim, Leng Han

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is the leading dementia among the elderly with complex origins. Despite extensive investigation into the AD-associated protein-coding genes, the involvement of noncoding RNAs (ncRNAs) and posttranscriptional modification (PTM) in AD pathogenesis remains unclear. Here, we comprehensively characterized the landscape of ncRNAs and PTM events in 1460 samples across six brain regions sourced from the Mount Sinai/JJ Peters VA Medical Center Brain Bank Study and Mayo cohorts, encompassing 33,321 long ncRNAs, 92,897 enhancer RNAs, 53,763 alternative polyadenylation events, and 900,221 A-to-I RNA editing events. We additionally identified 25,351 aberrantly expressed ncRNAs and altered PTM events associated with AD …

Enhanced Motivated Behavior Mediated By Pharmacological Targeting Of The Fgf14/Nav16 Complex In Nucleus Accumbens Neurons, Nolan M Dvorak, Paul A Wadsworth, Guillermo Aquino-Miranda, Pingyuan Wang, Douglas S Engelke, Jingheng Zhou, Nghi Nguyen, Aditya K Singh, Giuseppe Aceto, Zahra Haghighijoo, Isabella I Smith, Nana Goode, Mingxiang Zhou, Yosef Avchalumov, Evan P Troendle, Cynthia M Tapia, Haiying Chen, Reid T Powell, Timothy J Baumgartner, Jully Singh, Leandra Koff, Jessica Di Re, Ann E Wadsworth, Mate Marosi, Marc R Azar, Kristina Elias, Paul Lehmann, Yorkiris M Mármol Contreras, Poonam Shah, Hector Gutierrez, Thomas A Green, Martin B Ulmschneider, Marcello D'Ascenzo, Clifford Stephan, Guohong Cui, Fabricio H Do Monte, Jia Zhou, Fernanda Laezza

Faculty, Staff and Student Publications

Protein/protein interactions (PPI) play crucial roles in neuronal functions. Yet, their potential as drug targets for brain disorders remains underexplored. The fibroblast growth factor 14 (FGF14)/voltage-gated Na+ channel 1.6 (Nav1.6) complex regulates excitability of medium spiny neurons (MSN) of the nucleus accumbens (NAc), a central hub of reward circuitry that controls motivated behaviors. Here, we identified compound 1028 (IUPAC: ethyl 3-(2-(3-(hydroxymethyl)-1H-indol-1-yl)acetamido)benzoate), a brain-permeable small molecule that targets FGF14R117, a critical residue located within a druggable pocket at the FGF14/Nav1.6 PPI interface. We found that 1028 modulates FGF14/Nav1.6 complex assembly and depolarizes the voltage-dependence of Nav1.6 channel inactivation with …

Dexamethasone Dose Intensity Does Not Impact Outcomes In Newly Diagnosed Multiple Myeloma: A Secondary Swog Analysis, Rahul Banerjee, Rachael Sexton, Andrew J Cowan, Aaron S Rosenberg, Sikander Ailawadhi, S Vincent Rajkumar, Shaji Kumar, Angela Dispenzieri, Sagar Lonial, Brian G M Durie, Paul G Richardson, Saad Z Usmani, Antje Hoering, Robert Z Orlowski

Faculty, Staff and Student Publications

Dexamethasone is a key component of induction for newly diagnosed multiple myeloma (NDMM), despite common toxicities, including hyperglycemia and insomnia. In the randomized ECOG E4A03 trial, dexamethasone 40 mg once weekly was associated with lower mortality than higher doses. However, the performance of dexamethasone dose reductions below this threshold with regard to progression-free survival (PFS) and overall survival (OS) in NDMM has not been fully characterized. We conducted a secondary pooled analysis of the SWOG 0777 and SWOG 1211 studies of NDMM, which used lenalidomide and dexamethasone (Rd) alone, with or without bortezomib, and with or without elotuzumab. The planned …

The Role Of Iowa Gambling Task Performance In Response To Citalopram Treatment For Cocaine Use Disorder, Constanza De Dios, Robert Suchting, Charles E Green, Heather E Webber, F Gerard Moeller, Scott D Lane, Joy Schmitz

Faculty, Staff and Student Publications

Background:

Cocaine use disorder (CUD) is associated with executive functioning impairments linked to serotonergic function. Previous studies reported efficacy with the selective serotonin reuptake inhibitor citalopram in reducing cocaine use.

Objectives:

The current study explored moderation and mediation of citalopram effects on cocaine use by performance across executive function domains.

Methods:

We conducted a secondary analysis of a double-blind, placebo-controlled, randomized Bayesian adaptive trial investigating citalopram efficacy in CUD treatment-seeking adults. At baseline and mid-treatment, participants completed assessments of decision-making (Iowa Gambling Task; IGT), attention, response inhibition, and cognitive flexibility. Outcomes were longest duration of abstinence (LDA; count of consecutive …

Nucleus-Translocated Gclm Promotes Chemoresistance In Colorectal Cancer Through A Moonlighting Function, Jin-Fei Lin, Ze-Xian Liu, Dong-Liang Chen, Ren-Ze Huang, Fen Cao, Kai Yu, Ting Li, Hai-Yu Mo, Hui Sheng, Zhi-Bing Liang, Kun Liao, Yi Han, Shan-Shan Li, Zhao-Lei Zeng, Song Gao, Huai-Qiang Ju, Rui-Hua Xu

Faculty, Staff and Student Publications

Metabolic enzymes perform moonlighting functions during tumor progression, including the modulation of chemoresistance. However, the underlying mechanisms of these functions remain elusive. Here, utilizing a metabolic clustered regularly interspaced short palindromic repeats (CRISPR)-Cas9 knockout library screen, we observe that the loss of glutamate-cysteine ligase modifier subunit (GCLM), a rate-limiting enzyme in glutathione biosynthesis, noticeably increases the sensitivity of colorectal cancer (CRC) cells to platinum-based chemotherapy. Mechanistically, we unveil a noncanonical mechanism through which nuclear GCLM competitively interacts with NF-kappa-B (NF-κB)-repressing factor (NKRF), to promote NF-κB activity and facilitate chemoresistance. In response to platinum drug treatment, GCLM is phosphorylated by P38 …

Cardiovascular Disease And Breast Cancer Stage At Diagnosi\S, Ivan Angelov, Allen M Haas, Elizabeth Brock, Lingfeng Luo, Jing Zhao, Benjamin D Smith, Sharon H Giordano, Nicholas J Leeper, Kevin T Nead

Faculty, Staff and Student Publications

Importance: Cardiovascular disease (CVD) and cancer are the leading causes of mortality in the US. Large-scale population-based and mechanistic studies support a direct effect of CVD on accelerated tumor growth and spread, specifically in breast cancer.

Objective: To assess whether individuals presenting with advanced breast cancers are more likely to have prevalent CVD compared with those with early-stage breast cancers at the time of diagnosis.

Design, setting, and participants: This population-based case-control study used data from the Surveillance, Epidemiology, and End Results-Medicare linked databases from 2009 to 2020. The analysis was completed from May 2023 to August 2024. Participants were …

Atrx Silences Cartpt Expression In Osteoblastic Cells During Skeletal Development, Yi-Ting Chen, Ming-Ming Jiang, Carolina Leynes, Mary Adeyeye, Camilla F Majano, Barakat Ibrahim, Urszula Polak, George Hung, Zixue Jin, Denise G Lanza, Lan Liao, Brian Dawson, Yuqing Chen-Evenson, Oscar E Ruiz, Richard J Gibbons, Jason D Heaney, Yangjin Bae, Brendan Lee

Faculty, Staff and Students Publications

ATP-dependent chromatin remodeling protein ATRX is an essential regulator involved in maintenance of DNA structure and chromatin state and regulation of gene expression during development. ATRX was originally identified as the monogenic cause of X-linked α-thalassemia mental retardation (ATR-X) syndrome. Affected individuals display a variety of developmental abnormalities and skeletal deformities. Studies from others investigated the role of ATRX in skeletal development by tissue-specific Atrx knockout. However, the impact of ATRX during early skeletal development has not been examined. Using preosteoblast-specific Atrx conditional knockout mice, we observed increased trabecular bone mass and decreased osteoclast number in bone. In vitro coculture …

Meta-Ea: A Gene-Specific Combination Of Available Computational Tools For Predicting Missense Variant Effects, Panagiotis Katsonis, Olivier Lichtarge

Faculty, Staff and Students Publications

Computational methods for estimating missense variant impact suffer from inconsistent performance across genes, which poses a major challenge for their reliable use in clinical practice. While ensemble scores leverage multiple prediction methods to enhance consistency, the overrepresentation of certain genes in the training data can bias their outcomes. To address this critical limitation, we propose a gene-specific ensemble framework trained on reference computational annotations rather than on clinical or experimental data. Accordingly, we generate Meta-EA ensemble scores that achieve comparable performance to the top individual predicting method for each gene set. Incorporating the effects of splicing and the allele frequency …

A Bayesian Deep Segmentation Framework For Glioblastoma Tumor Segmentation Using Follow-Up Mris, Tanjida Kabir, Kang-Lin Hsieh, Luis Nunez, Yu-Chun Hsu, Juan C Rodriguez Quintero, Octavio Arevalo, Kangyi Zhao, Jay-Jiguang Zhu, Roy F Riascos, Mahboubeh Madadi, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

Background: Glioblastoma (GBM) is the most common malignant brain tumor with an abysmal prognosis. Since complete tumor cell removal is impossible due to the infiltrative nature of GBM, accurate measurement is paramount for GBM assessment. Preoperative magnetic resonance images (MRIs) are crucial for initial diagnosis and surgical planning, while follow-up MRIs are vital for evaluating treatment response. The structural changes in the brain caused by surgical and therapeutic measures create significant differences between preoperative and follow-up MRIs. In clinical research, advanced deep learning models trained on preoperative MRIs are often applied to assess follow-up scans, but their effectiveness in this …

Enhancing Clinical Trial Matching In Molecular Diagnostics: Using Natural Language Processing And Clustering Approaches In Hematological Malignancies, Gillian Fanning

Theses and Dissertations

Clinical trial matching is a critical component of personalized medicine, particularly in the management of hematologic malignancies. At Virginia Commonwealth University (VCU) Health, the Molecular Diagnostics (MDX) Lab produces somatic variant reports and recommends clinical trials based on the presence of clinically significant mutations. However, the current manual trial recommendation process is time-intensive and lacks scalability.

This study introduces a computational framework to streamline and standardize clinical trial matching using natural language processing (NLP) and unsupervised clustering. Trial brief descriptions were analyzed to extract frequent terms, and trials were grouped based on term similarity using joint dimensionality reduction and clustering. …

Defining Spine Cancer Pain Syndromes: A Systematic Review And Proposed Terminology, Markian Pahuta, Ilya Laufer, Sheng-Fu Larry Lo, Stefano Boriani, Charles Fisher, Nicolas Dea, Michael H Weber, Dean Chou, Arjun Sahgal, Laurence Rhines, Jeremy Reynolds, Aron Lazary, Alessandro Gasbarrinni, Jorrit-Jan Verlaan, Ziya Gokaslan, Chetan Bettegowda, Mohamed Sarraj, Ori Barzilai, Ao Spine Knowledge Forum Tumor

Faculty, Staff and Student Publications

STUDY DESIGN: Systematic Review.

OBJECTIVES: Formalized terminology for pain experienced by spine cancer patients is lacking. The common descriptors of spine cancer pain as mechanical or non-mechanical is not exhaustive. Misdiagnosed spinal pain may lead to ineffective treatment recommendations for cancer patients.

METHODS: We conducted a systematic review of pain terminology that may be relevant to spinal oncology patients. We provide a comprehensive and unbiased summary of the existing evidence, not limited to the spine surgery literature, and subsequently consolidate these data into a practical, clinically relevant nomenclature for spine oncologists.

RESULTS: Our literature search identified 3515 unique citations. Through …

The Influence Of The Microbiome On Radiotherapy And Dna Damage Responses, Aadil Sheikh, Michael A Curran

Faculty, Staff and Student Publications

Colorectal cancer (CRC) is one of the most prevalent cancers in terms of diagnosis and mortality. Radiotherapy (RT) remains a mainstay of CRC therapy. As RT relies on DNA damage to promote tumor cell death, the activity of cellular DNA damage repair pathways can modulate cancer sensitivity to therapy. The gut microbiome has been shown to influence intestinal health and is independently associated with CRC development, treatment responses and outcomes. The microbiome can also modulate responses to CRC RT through various mechanisms such as community structure, toxins and metabolites. In this review we explore the use of RT in the …

Patient-Reported Outcomes During Pelvic Radiation Therapy: A Secondary Analysis On Sexual Function From Nrg-Rtog 1203, Kelsey L Corrigan, Rebecca Paulus, Ann H Klopp, Lari B Wenzel, Anamaria R Yeung, J Spencer Thompson, Desiree E Doncals, Vijayananda Kundapur, Nancy H Wiggers, Dasarahally S Mohan, Sharad A Ghamande, Shannon N Westin, Kara L Schnarr, Michael L Haas, David K Gaffney, Steven E Waggoner, Pamela J Vanderwall, Noha T Jastaniyah, Stephanie L Pugh, Lisa A Kachnic

Faculty, Staff and Student Publications

Purpose: NRG-RTOG 1203 reported that intensity-modulated radiation therapy (IMRT) reduced patient-reported GI toxicities in patients with cervical/endometrial cancer receiving postoperative RT, compared with 3-dimensional conformal radiation therapy (3DRT). We conducted a secondary analysis of patient-reported sexual function (PR-SF) among treatment groups to identify factors associated with sexual dysfunction.

Methods and materials: Patients on NRG-RTOG 1203 were randomly assigned to 3DRT versus IMRT and completed Patient-Reported Outcomes (PRO)-Common Terminology Criteria for Adverse Events (CTCAE) and FACT-Cx surveys at baseline, week 5 of RT, and at 4-6 weeks, 1 year, and 3 years after RT. Patient responses to FACT-Cx sexual function questions …

Reproducibility And Repeatability Of 18f-(2s, 4r)-4-Fluoroglutamine Pet Imaging In Preclinical Oncology Models, Gregory D Ayers, Allison S Cohen, Seong-Woo Bae, Xiaoxia Wen, Alyssa Pollard, Shilpa Sharma, Trey Claus, Adria Payne, Ling Geng, Ping Zhao, Mohammed Noor Tantawy, Seth T Gammon, H Charles Manning

Faculty, Staff and Student Publications

Introduction: Measurement of repeatability and reproducibility (R&R) is necessary to realize the full potential of positron emission tomography (PET). Several studies have evaluated the reproducibility of PET using 18F-FDG, the most common PET tracer used in oncology, but similar studies using other PET tracers are scarce. Even fewer assess agreement and R&R with statistical methods designed explicitly for the task. 18F-(2S, 4R)-4-fluoro-glutamine (18F-Gln) is a PET tracer designed for imaging glutamine uptake and metabolism. This study illustrates high reproducibility and repeatability with 18F-Gln for in vivo research.

Methods: Twenty mice bearing colorectal cancer cell line xenografts were injected with ~9 …

Patterns Of Loco-Regional Progression And Patient Outcomes After Definitive-Dose Radiation Therapy For Anaplastic Thyroid Cancer, Julianna K Bronk, Alexander Augustyn, Abdallah S R Mohamed, C David Fuller, Adam S Garden, Amy C Moreno, Anna Lee, William H Morrison, Jack Phan, Jay P Reddy, David I Rosenthal, Michael T Spiotto, Steven J Frank, Ramona Dadu, Naifa Busaidy, Mark Zafereo, Jennifer R Wang, Anastasios Maniakas, Renata Ferrarotto, Priyanka C Iyer, Maria E Cabanillas, G Brandon Gunn

Faculty, Staff and Student Publications

Background: The aim of this study is to characterize the patterns of loco-regional progression (LRP) and outcomes after definitive-dose intensity modulated radiation therapy (IMRT) for anaplastic thyroid cancer (ATC) with macroscopic neck disease at the time of IMRT.

Methods: Disease/treatment characteristics and outcomes for patients with unresected or incompletely resected ATC who received IMRT (≥45 Gy) were retrospectively reviewed. For those with LRP after IMRT, progressive/recurrent gross tumor volumes (rGTV) were contoured on diagnostic CTs and co-registered with initial planning CTs using deformable image registration. rGTVs were classified based on established spatial/dosimetric criteria.

Results: Forty patients treated between 2010-2020 formed …

Selective Inhibition Of Canonical Stat3 Signaling Suppresses K-Ras Mutant Lung Tumorigenesis And Reinvigorates Anti-Tumor Immunity, Michael J Clowers, Zahraa Rahal, Sung-Nam Cho, Avantika Krishna, Bo Yuan, Leticia G Hamana Zorrilla, T Kris Eckols, Moses M Kasembeli, Samuel Liu, Stephen Peng, Marco Ramos-Castaneda, Annamarie L Thompson, Carlos Ignacio Rodriguez Reyna, Katherine E Larsen, Maria T Grimaldo, Shanshan Deng, Nastaran Karimi, Cody Chou, Walter V Velasco, Melody Zarghooni, Sayan Alekseev, Luisa M Solis Soto, Edwin J Ostrin, Humam Kadara, Suhendan Ekmekcioglu, David J Tweardy, Seyed Javad Moghaddam

Faculty, Staff and Student Publications

Introduction: K-ras mutant lung adenocarcinoma (KM-LUAD) is a difficult-to-treat cancer subtype in which chronic inflammation pervades the tumor immune microenvironment (TIME). Pro-inflammatory pathways dampen the response to treatments, including immune checkpoint inhibitors, necessitating therapies that target this inflammatory signaling network in the TIME. One of the lynchpins of chronic inflammation in KM-LUAD is signal transducer and activator of transcription 3 (STAT3).

Methods: Here, we tested the anti-tumor and early immunotherapeutic efficacy of TTI-101, a selective small-molecule inhibitor of canonical STAT3 signaling, in a K-rasG12D mutant lung cancer mouse model (CC-LR).

Results: Treatment of CC-LR mice with TTI-101 resulted in reduced …

Dedifferentiated Liposarcomas Treated With Immune Checkpoint Blockade: The Md Anderson Experience, Madeline B Torres, Cheuk Hong Leung, Marianne Zoghbi, Rossana Lazcano, Davis Ingram, Khalida Wani, Emily Z Keung, M Alejandra Zarzour, Christopher P Scally, Kelly K Hunt, Anthony Conley, Andrew J Bishop, B Ashleigh Guadagnolo, Ahsan Farooqi, Devarati Mitra, Alison K Yoder, Michael S Nakazawa, Dejka Araujo, Andrew Livingston, Ravin Ratan, Shreyaskumar Patel, Vinod Ravi, Alexander J Lazar, Christina L Roland, Neeta Somaiah, Elise F Nassif Haddad

Faculty, Staff and Student Publications

Background: Dedifferentiated liposarcoma (DDLPS) is one of the most common types of soft tissue sarcoma (STS) characterized by liposarcomatous differentiation and a predilection for the retroperitoneum. Despite the growing number of histology-specific immune checkpoint blockade (ICB) trials in STS, it is still difficult to identify the radiographic objective response rate (ORR) for DDLPS in the real world setting. This study aimed to evaluate the ORR and survival of patients with DDLPS treated with ICB at a single center.

Methods: We conducted a retrospective study of 31 patients with pathologically confirmed DDLPS treated with ICB at MD Anderson Cancer Center between …

A Plain Language Summary Of The Final Analysis Of The Griffin Study Of Daratumumab Plus Lenalidomide, Bortezomib, And Dexamethasone For People With Newly Diagnosed Multiple Myeloma, Peter M Voorhees, Douglas W Sborov, Jacob Laubach, Jonathan L Kaufman, Brandi Reeves, Cesar Rodriguez, Rebecca Silbermann, Luciano J Costa, Larry D Anderson, Nitya Nathwani, Nina Shah, Naresh Bumma, Yvonne A Efebera, Sarah A Holstein, Caitlin Costello, Andrzej Jakubowiak, Tanya M Wildes, Robert Z Orlowski, Kenneth H Shain, Andrew J Cowan, Shira Dinner, Katharine S Gries, Huiling Pei, Annelore Cortoos, Sharmila Patel, Thomas S Lin, Saad Z Usmani, Paul G Richardson

Faculty, Staff and Student Publications

No abstract provided.

Grape-Pi: Graph-Based Neural Networks For Enhanced Protein Identification In Proteomics Pipelines, Chunhui Gu, Seyyed Mahmood Ghasemi, Yining Cai, Johannes F Fahrmann, James P Long, Hiroyuki Katayama, Chong Wu, Jody Vykoukal, Jennifer B Dennison, Samir Hanash, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

Motivation: Protein identification via mass spectrometry (MS) is the primary method for untargeted protein detection. However, the identification process is challenging due to data complexity and the need to control false discovery rates (FDR) of protein identification. To address these challenges, we developed a graph neural network (GNN)-based model, Graph Neural Network using Protein-Protein Interaction for Enhancing Protein Identification (Grape-Pi), which is applicable to all proteomics pipelines. This model leverages protein-protein interaction (PPI) data and employs two types of message-passing layers to integrate evidence from both the target protein and its interactors, thereby improving identification accuracy.

Results: Grape-Pi achieved significant …

A Critical Assessment Of Artificial Intelligence In Magnetic Resonance Imaging Of Cancer, Chengyue Wu, Meryem Abbad Andaloussi, David A Hormuth, Ernesto A B F Lima, Guillermo Lorenzo, Casey E Stowers, Sriram Ravula, Brett Levac, Alexandros G Dimakis, Jonathan I Tamir, Kristy K Brock, Caroline Chung, Thomas E Yankeelov

Faculty, Staff and Student Publications

Given the enormous output and pace of development of artificial intelligence (AI) methods in medical imaging, it can be challenging to identify the true success stories to determine the state-of-the-art of the field. This report seeks to provide the magnetic resonance imaging (MRI) community with an initial guide into the major areas in which the methods of AI are contributing to MRI in oncology. After a general introduction to artificial intelligence, we proceed to discuss the successes and current limitations of AI in MRI when used for image acquisition, reconstruction, registration, and segmentation, as well as its utility for assisting …