Biomedical Informatics Commons^™

Systemic Antitumor Immune Response Of Doped Yttria Nanoscintillators Under Low-Dose X-Ray Irradiation, Onur Sahin, Yuri Mackeyev, Geraldine V Vijay, Soumyabrata Roy, Ashokkumar Meiyazhagan, Yasmin Zahra, Okan Tezcan, Valeria Gonzalez, Belal Abousaida, Holden R Wagner, Pearl Fernandes, Riaz Mowzoon-Mogharrabi, Bhanu P Venkatesulu, Cheng-En Hsieh, Joseph B K Kim, Subhiksha Raghuram, Xiang Zhang, Kristen A Miller, Guanhui Gao, Pankaj K Singh, Sang Hyun Cho, Rao V L Papineni, Pulickel M Ajayan, Sunil Krishnan

Faculty, Staff and Student Publications

Inadequate light penetration in tissues restricts photodynamic therapy to treating only superficial tumors. To enable x-ray-excited photodynamic therapy (XPDT) that targets deep-seated tumors, we synthesized a nanoscintillator-photosensitizer complex containing 5% Eu-doped Y2O3 fluorescing at 611 nanometers and decorated with SiO2 containing the scintillation-coupled photosensitizer methylene blue and a polyethylene glycol coating [PEGylated Y2O3:Eu@SiO2-methylene blue (pYSM)]. When irradiated, pYSMs generate singlet oxygen species in vitro, causing cytotoxicity with hallmarks of immunogenic cell death (calreticulin translocation to the cell membrane). Intravenously administered pYSMs home passively to pancreatic tumor xenografts and, upon 10 gray irradiation, cause significant tumor regression (P < 0.01). On combining XPDT with anti-PD1 immunotherapy, a distant nonirradiated tumor also regresses via an increase in intratumoral activated CD8+ cytotoxic T cells. Collectively, we advance a systemically delivered XPDT strategy that mediates an antitumor effect in both irradiated and nonirradiated (abscopal) tumors when coupled with immunotherapy, converting an immunologically "cold" tumor to an immunologically "hot" tumor.

Sitc Strategic Vision: Prevention, Premalignant Immunity, Host And Environmental Factors, Sasha E Stanton, Kristin G Anderson, Tullia C Bruno, Christian M Capitini, Mary L Disis, Jennifer Mcquade, Laszlo Radvanyi, Claire Vanpouille-Box, Jennifer Wargo, Kelly J Baines, Megan M Y Hong, Adnan Rajeh, Raymond H Kim, Phillip Awadalla, Lauren K Hughes, Saman Maleki Vareki

Faculty, Staff and Student Publications

Cancer immunotherapy has improved the survival of a subset of patients by harnessing the power of the immune system to find and destroy malignant cells. The immune system also protects the host by destroying developing premalignant and malignant tumors. Advancing our knowledge of premalignant immunity and immune changes seen in lesions that develop into invasive cancer versus those that regress offers an exciting opportunity to leverage the immune system for immune prevention and immune interception of premalignancy. Understanding the immune environment of premalignant lesions and how chronic inflammation plays a central role in the evolution of premalignancy is essential for …

Cigarette Smoke Induces Angiogenic Activation In The Cancer Field Through Dysregulation Of An Endothelial Microrna, Asawari Korde, Anuradha Ramaswamy, Seth Anderson, Lei Jin, Jian-Ge Zhang, Buqu Hu, Walter V Velasco, Lixia Diao, Jing Wang, Margaret A Pisani, Maor Sauler, Daniel J Boffa, Jonathan T Puchalski, Xiting Yan, Seyed Javad Moghaddam, Shervin S Takyar

Faculty, Staff and Student Publications

Cigarette smoke (CS) creates a "cancer field" in the lung that promotes malignant transformation. The molecular changes within this field are not fully characterized. We examined the significance of microRNA-1 (miR-1) downregulation as one of these changes. We found that tumor miR-1 levels in three non-small cell lung cancer cohorts show inverse correlations with the smoking burden. Lung MiR-1 levels follow a spatial gradient, have prognostic significance, and correlate inversely with the molecular markers of injury. In CS-exposed lungs, miR-1 is specifically downregulated in the endothelium. Exposure to CS induces angiogenesis by selectively degrading mature miR-1 via a vascular endothelial …

Effects Of Prebiotic Phytocompound Administration In Gestational Diabetic Dams And Its Influence On Offspring Cognitive Outcomes, Gayathri Jagadeesan, Tushar K Das, Jennifer M Mendoza, Ghalya Alrousan, Maria P Blasco-Conesa, Parimelazhagan Thangaraj, Bhanu Priya Ganesh

Faculty, Staff and Student Publications

Gestational diabetes mellitus (GD)-induced gut dysbiosis in pregnant mothers may increase the risk of cognitive impairment and neurological disorders in both the mother and offspring as they age. Restoring gut balance could improve cognitive outcomes for both. Despite advancements in GD treatment, side effects have increased, and long-term neurocognitive impacts on offspring born to GD mothers remain underexplored. This study uses a GD mouse model, inducing pancreatic dysfunction in 3-month-old pregnant C57BL/6J mice with Streptozotocin. The efficacy and mechanism of the prebiotic phytocompound green leaf extract (

Assessing Cancer Therapeutic Efficacy In Vivo Using [2h7]Glucose Deuterium Metabolic Imaging, Mario C Chang, Vinay R Malut, Rohit Mahar, Anna Rushin, Marc A Mcleod, Geraldine L Pierre, Indu R Malut, Stephen J Staklinski, Max E Glanz, Mukundan Ragavan, Gaurav Sharma, Manoj Madheswaran, Arshee Badar, Aparna D Rao, Brian K Law, Michael S Kilberg, James H P Collins, Vikram D Kodibagkar, James A Bankson, Ralph J Deberardinis, Matthew E Merritt

Faculty, Staff and Student Publications

Metabolic imaging produces powerful visual assessments of organ function in vivo. Current techniques can be improved by safely increasing metabolic contrast. The gold standard, 2-[18F]fluorodeoxyglucose-positron emission tomography (FDG-PET) imaging, is limited by radioactive exposure and sparse assessment of metabolism beyond glucose uptake and retention. Deuterium magnetic resonance imaging (DMRI) with [6,6-2H2]glucose is nonradioactive, achieves tumor metabolic contrast, but can be improved by enriched contrast from deuterated water (HDO) based imaging. Here, we developed a DMRI protocol employing [2H7]glucose. Imaging 2H-signal and measuring HDO production in tumor-bearing mice detected differential glucose utilization across baseline tumors, tumors treated with vehicle control or …

Amniotic Fluid-Derived Mesenchymal Stem Cells As A Therapeutic Tool Against Cytokine Storm: A Comparison With Umbilical Cord Counterparts, Salvatore Vaiasicca, David W James, Gianmarco Melone, Omar Saeed, Lewis W Francis, Bruna Corradetti

Faculty, Staff and Students Publications

Background: Several immunosuppressive therapies have been proposed as key treatment options for critically ill patients since the first appearance of severe acute respiratory syndrome coronavirus 2. Mesenchymal stem cells (MSCs) from different sources have been considered for their potential to attenuate the cytokine storm associated to COVID-19 and the consequent multi-organ failure, providing evidence for safe and efficacious treatments. Among them, administration of umbilical cord-derived MSCs (UC-MSCs) has demonstrated a significant increase in survival rates, largely due to their potent immunosuppressive properties.

Methods: We applied next-generation sequencing (NGS) analysis to compare the transcriptomic profiles of MSCs isolated from two gestational …

Reducing Clinical Trial Eligibility Barriers For Patients With Mds: An Icmds Position Statement, Uma Borate, Kelly Pugh, Allyson Waller, Rina Li Welkie, Ying Huang, Jan Philipp Bewersdorf, Maximilian Stahl, Amy E Dezern, Uwe Platzbecker, Mikkael A Sekeres, Andrew H Wei, Rena J Buckstein, Gail J Roboz, Michael R Savona, Sanam Loghavi, Robert P Hasserjian, Pierre Fenaux, David A Sallman, Christopher S Hourigan, Matteo Giovanni Della Porta, Stephen Nimer, Richard F Little, Valeria Santini, Fabio Efficace, Justin Taylor, Guillermo Garcia-Manero, Olatoyosi Odenike, Tae Kon Kim, Stephanie Halene, Rami S Komrokji, Elizabeth A Griffiths, Peter L Greenberg, Mina L Xu, Zhuoer Xie, Rafael Bejar, Guillermo F Sanz, Mrinal M Patnaik, Maria Figueroa, Hetty E Carraway, Omar Abdel-Wahab, Daniel Starczynowski, Eric Padron, Jacqueline Boultwood, Steven Gore, Naval G Daver, Jane E Churpek, Ravindra Majeti, John M Bennett, Alan F List, Andrew M Brunner, Amer M Zeidan

Faculty, Staff and Student Publications

Excessively restrictive inclusion and exclusion criteria in clinical trials are one of many barriers to clinical trial enrollment for patients with myelodysplastic syndromes/neoplasms (MDSs). Many organizations are developing efforts to increase clinical trial eligibility; yet, several recent publications focused on patients with MDS suggest that many patients with this disease may be excluded from clinical trials unnecessarily. Clinical trial eligibility should reflect the phase of the study and risks of the agent being studied. Phase 3 trials should be less restrictive than early-phase trials to represent the real-world population as closely as possible. We hypothesize that many clinical trials, particularly …

Mesenchymal Stem Cells Loaded In Injectable Alginate Hydrogels Promote Liver Growth And Attenuate Liver Fibrosis In Cirrhotic Rats, Dominic Karl M Bolinas, Allan John R Barcena, Archana Mishra, Marvin R Bernardino, Vincent Lin, Francisco M Heralde, Gouthami Chintalapani, Natalie W Fowlkes, Steven Y Huang, Marites P Melancon

Faculty, Staff and Student Publications

Cirrhosis, a marker of severe liver diseases, limits future liver remnant (FLR) growth, preventing many cancer patients from undergoing surgery. While portal vein blockade (PVB) techniques are used to stimulate liver regeneration, 20-30% of patients still fail to achieve the required growth. Although mesenchymal stem cell (MSC) therapy improves PVB, its efficacy is limited by poor cell retention. To address this, we utilized alginate hydrogels to deliver MSCs and improve their retention. MSCs were loaded in the hydrogel and injected intraportally in cirrhotic rats. Liver volume, weights, enzyme levels, and histology were monitored. Results showed that the hydrogel maintained 89.0 …

Bh3 Mimetics Augment Cytotoxic T Cell Killing Of Acute Myeloid Leukemia Via Mitochondrial Apoptotic Mechanism, Kapil Saxena, Shao-Hsi Hung, Esther Ryu, Shailbala Singh, Qi Zhang Tatarata, Zhihong Zeng, Zhe Wang, Marina Y Konopleva, Cassian Yee

Faculty, Staff and Student Publications

Adoptive cell therapy (ACT) can address an unmet clinical need for patients with relapsed/refractory acute myeloid leukemia (AML), but its effect is often modest in the setting of high tumor burden. In this study, we postulated that strategies to lower the AML apoptotic threshold will augment T cell killing of AML cells. BH3 mimetics, such as venetoclax, are a clinically approved class of compounds that predispose cells to intrinsic apoptosis by inhibiting anti-apoptotic mitochondrial proteins. We explored the anti-leukemic efficacy of BH3 mimetics combined with WT1-specific CD8+ T cells on AML cell lines and primary samples from patients with a …

Β-Catenin Drives The Foxc2-Mediated Epithelial-Mesenchymal Transition And Acquisition Of Stem Cell Properties, Maria Castaneda, Petra Den Hollander, Steve Werden, Esmeralda Ramirez-Peña, Suhas V Vasaikar, Nick A Kuburich, Claire Gould, Rama Soundararajan, Sendurai A Mani

Faculty, Staff and Student Publications

Background: Aggressive forms of breast cancer, such as triple-negative breast cancer (TNBC), are associated with an increase in cancer cells that exhibit stem cell properties. The activation of the epithelial-mesenchymal transition (EMT) program, mediated by the transcription factor FOXC2, generates these stem-like cells. FOXC2 is linked to poor prognoses across various cancer types and is notably upregulated in TNBC, where it establishes and sustains these stem-like cells within the tumor population.

Methods: Here, we decode the pathways regulating FOXC2 activation using EMT-enriched cell line models. Stemness was assessed using mammosphere assays and mesenchymal markers by western blot. Expression …

Clinical Use Of Measurable Residual Disease In Adult All: Recommendations From A Panel Of Us Experts, Nicholas J Short, Ibrahim Aldoss, Daniel J Deangelo, Marina Konopleva, Jessica Leonard, Aaron C Logan, Jae Park, Bijal Shah, Wendy Stock, Elias Jabbour

Faculty, Staff and Student Publications

Measurable residual disease (MRD) is a powerful predictor of clinical outcomes in acute lymphoblastic leukemia (ALL). In addition to its clear prognostic importance, MRD information is increasingly used in clinical decision algorithms to guide therapeutic interventions. Although it is well established that achievement of MRD-negative remission is an important end point of ALL therapy, the prognostic and therapeutic implications of MRD in an individual patient are influenced by both disease-related factors (eg, cytomolecular risk) and assay-related factors (eg, sensitivity, specimen source, and timing of assessment), which add complexity to MRD-guided treatment decisions. In this review, we discuss the data supporting …

The Tumor Microenvironment Is An Ecosystem Sustained By Metabolic Interactions, Emily Jane Kay, Sara Zanivan

Faculty, Staff and Student Publications

Cancer-associated fibroblasts (CAFs) and immune cells make up two major components of the tumor microenvironment (TME), contributing to an ecosystem that can either support or restrain cancer progression. Metabolism is a key regulator of the TME, providing a means for cells to communicate with and influence each other, modulating tumor progression and anti-tumor immunity. Cells of the TME can metabolically interact directly through metabolite secretion and consumption or by influencing other aspects of the TME that, in turn, stimulate metabolic rewiring in target cells. Recent advances in understanding the subtypes and plasticity of cells in the TME both open up …

Developmental Differentiation Of Mouse Inner Ear Neuron Subpopulations Resolved With A Peripherin-Promoter Reporter Within The Grm8 Locus, Lily J Pearson, Jeremy L Pinyon, Jennie M E Cederholm, Georg Von Jonquieres, Florence Bartlett, Xabier Vázquez-Campos, Fabien Delerue, Lars M Ittner, Gary D Housley

Faculty, Staff and Student Publications

Molecular profiling of inner ear neurons has broadened the classification of the primary afferents that support neural coding for hearing and balance. To extend spatiotemporal characterization of auditory and vestibular neuron diversity, we established a transgenic reporter mouse model (Prphp-mCherry), where elements of the peripherin promoter (Prphp) drive expression of the mCherry fluorescent reporter. Type III intermediate filament protein peripherin expression is a marker for type II spiral ganglion neurons (SGN) that innervate the cochlear outer hair cells, and the small diameter 'bouton' vestibular ganglion neurons (VGN) innervating the type II vestibular hair cells. Using Nanopore genome sequencing, the integration …

Rapid Laser Ablation-Based Fabrication Of High-Density Polymer Microwell Arrays For High-Throughput Cellular Studies, Desh Deepak Dixit, Kavya L Singampalli, Amit S Niyogi, Amanda Montoya, Alexandre Reuben, Peter B Lillehoj

Faculty, Staff and Student Publications

Polymer-based microwell platforms have garnered much interest due to their usefulness in culturing and analyzing small quantities of biological cells and spheroids. Existing methods for fabricating polymer microwell arrays involve complex fabrication processes and/or are limited in their ability to create dense arrays of very small (< 50 μm in diameter) microwells. Here, we present a simple and rapid technique for fabricating high-density arrays of microwells ranging from 20 to 160 μm in diameter on a variety of polymer substrates. In this approach, a polymer surface is ablated using a CO2 laser that is rastered over a stainless steel mesh, which serves as a shadow mask. A theoretical laser-polymer interaction model was developed for predicting the microwell volume based on the substrate properties and laser settings. Microwell volumes predicted by the model were within 5.4% of fabricated microwell volumes determined experimentally. Cellulose acetate microwell arrays fabricated using this technique were used to culture Lewis lung carcinoma cells expressing ovalbumin (LLC-OVA), which were maintained for up to 72 h with a negligible (< 5%) loss in viability. As a second proof of principle demonstration, LLC-OVA cells grown in microwell arrays were co-cultured with OT-I T cells and measurements of interferon gamma (IFN-γ), a marker for T cell activation, were performed which revealed a positive correlation between LLC-OVA cell-T cell interaction time and T cell activation. These two in vitro demonstrations showcase the capability of this technique in generating polymer microwell arrays for high-throughput cellular studies, including cell growth dynamics studies and cell interaction studies. Furthermore, we envision that these platforms can be used with different cell types and for other biological applications, such as spheroid formation and single cell analysis, …

Treatment Group-Specific Inferences In Phase Iii Randomized Oncology Trials, Alexander D Sherry, Adina H Passy, Joseph Abi Jaoude, Timothy A Lin, Ramez Kouzy, Pavlos Msaouel, Ethan B Ludmir

Faculty, Staff and Student Publications

Background: Estimation of comparative treatment effects between randomized groups is well-supported in randomized trials. By contrast, treatment group-specific inferences are challenging, as patients are selectively chosen for enrollment, and such inferences are formally discouraged by the CONSORT guidelines. The present study is the first-large scale assessment of the proportion of phase III oncology trials that present treatment group-specific inferences.

Methods: Published phase III randomized oncology trials were screened from ClinicalTrials.gov. Treatment group-specific inferences were defined by the presence of 95% CI or standard error for treatment-specific outcomes.

Results: A total of 774 phase III trials enrolling 568,080 patients were included. …

Dna-Pk Inhibition Sustains The Antitumor Innate Immune Response In Small Cell Lung Cancer, Caterina De Rosa, Floriana Morgillo, Luisa Amato, Francesca Iommelli, Viviana De Rosa, Virginia Tirino, Federica Papaccio, Concetta Tuccillo, Gaetano Di Guida, Domenico Michele D'Angiolella, Alessandra Di Liello, Silvia Zappavigna, Michele Caraglia, Antonio Gambardella, Valerio Nardone, Kavya Ramkumar, Qi Wang, Jing Wang, Ferdinando De Vita, Davide Ciardiello, Erika Martinelli, Teresa Troiani, Stefania Napolitano, Giulia Martini, Alberto Servetto, Lauren Averett Byers, Fortunato Ciardiello, Carminia Maria Della Corte

Faculty, Staff and Student Publications

Small cell lung cancer (SCLC) is a highly aggressive form of lung cancer with limited treatment options. Patients often respond well to initial chemo-immunotherapy but relapse quickly, necessitating new strategies to enhance immune responsiveness. Recent research explores combining DNA-damaging therapies with immunotherapy to activate the STING pathway and improve the antitumor immune response. The addition of DNA Damage Repair (DDR) inhibitors, such as DNA-PKcs inhibitors, after chemotherapy has shown promise in activating innate immune sensors and enhancing CD8

Identification And Catalog Of Viral Transcriptional Regulators In Human Diseases, Citu Citu, Le Chang, Astrid M Manuel, Nitesh Enduru, Zhongming Zhao

Faculty, Staff and Student Publications

Viral genomes encode viral transcriptional regulators (vTRs) that manipulate host gene expression to facilitate replication and evade immune detection. Nevertheless, their role in non-cancerous diseases remains largely underexplored. Here, we unveiled 268 new candidate vTRs from 14 of the 20 viral families we investigated. We mapped vTRs' genome-wide binding profiles and identified their potential human targets, which were enriched in immune-mediated pathways, neurodegenerative disorders, and cancers. Through vTR DNA-binding preference analysis, 283 virus-specific and human-like motifs were identified. Prioritized Epstein-Barr virus (EBV) vTR target genes were associated with multiple sclerosis (MS), rheumatoid arthritis, and systemic lupus erythematosus. The partitioned heritability …

Protocol For Unlocking Alternative Polyadenylation Insights From Bulk Rna-Seq Data With Polyaminer-Bulk, Venkata Jonnakuti, Sriya Jonnakuti, Hari Krishna Yalamanchili

Duncan NRI Faculty and Staff Publications

PolyAMiner-Bulk, a deep-learning-based algorithm to decode alternative polyadenylation (APA) dynamics from bulk RNA sequencing (RNA-seq) data, enables scientists to identify and quantify APA events from processed bulk RNA-seq data. The protocol allows researchers to explore differential APA usage between two conditions and gain a better understanding of post-transcriptional regulatory mechanisms. The major steps involve input data preparation, executing PolyAMiner-Bulk, and interpreting the results. A basic familiarity with pre-processing bulk RNA-seq data and command-line tools is suggested.

For complete details on the use and execution of this protocol, please refer to Jonnakuti et al.¹

Islet Single-Cell Transcriptomic Profiling During Obesity-Induced Beta Cell Expansion In Female Mice, Peter M Masschelin, Scott A Ochsner, Sean M Hartig, Neil J Mckenna, Aaron R Cox

Faculty, Staff and Student Publications

Targeting beta cell proliferation is an appealing approach to restore glucose control in type 1 diabetes. However, the underlying mechanisms of beta cell proliferation remain incompletely understood, limiting identification of new therapeutic targets. Obesity is a naturally occurring process that potently induces human and rodent beta cell replication, representing an ideal model to study mechanisms of beta cell proliferation. We showed previously acute whole-body

Student Expectations And Outcomes In Virtual Vs In-Person Interprofessional Simulations: A Qualitative Analysis, Padmavathy Ramaswamy, Abbey M Bachmann, Tiffany Champagne-Langabeer, Chasisty L Gilder, Samuel E Neher, Jennifer L Swails

Faculty, Staff and Student Publications

Background: Health-related programs frequently integrate interprofessional education (IPE) into their training. The COVID-19 pandemic transitioned many IPE programs online, making it essential to assess student expectations and perceived learning outcomes across virtual simulations and in-person settings.

Methods: This qualitative study compared student expectations and self-reported outcomes across in-person and virtual case scenarios at a Texas health science center. Responses to open-ended questions from two data collection periods were analyzed using inductive coding and thematic analysis.

Results: Students from nursing, medicine, dentistry, public health, and informatics participated in each group. Three major themes emerged from this study: communication, teamwork, and …

Do We Need To Add The Type Of Treatment Planning System, Dose Calculation Grid Size, And Ct Density Curve To Predictive Models?, Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

Faculty, Staff and Student Publications

Background: Generalizability and domain dependency are critical challenges in developing predictive models for healthcare, particularly in medical diagnostics and radiation oncology. Predictive models designed to assess tumor recurrence rely on comprehensive and high-quality datasets, encompassing treatment planning parameters, imaging protocols, and patient-specific data. However, domain dependency, arising from variations in dose calculation algorithms, computed tomography (CT) density conversion curves, imaging modalities, and institutional protocols, can significantly undermine model reliability and clinical utility.

Methods: This study evaluated dose calculation differences in the head and neck cancer treatment plans of 19 patients using two treatment planning systems, Pinnacle 9.10 and RayStation 11, …

Evaluation And Surgical Management Of Pediatric Cutaneous Melanoma And Atypical Spitz And Non-Spitz Melanocytic Tumors (Melanocytomas): A Report From Children's Oncology Group, Michael R Sargen, Raymond L Barnhill, David E Elder, Susan M Swetter, Victor G Prieto, Jennifer S Ko, Armita Bahrami, Pedram Gerami, Arivarasan Karunamurthy, Alberto S Pappo, Lynn M Schuchter, Philip E Leboit, Iwei Yeh, John M Kirkwood, Melinda Jen, Ira J Dunkel, Megan M Durham, Emily R Christison-Lagay, Mary T Austin, Jennifer H Aldrink, Casey Mehrhoff, Elena B Hawryluk, Emily Y Chu, Klaus J Busam, Vernon Sondak, Jane Messina, Susana Puig, Andrew J Colebatch, Carrie C Coughlin, Kristen G Berrebi, Theodore W Laetsch, Sarah G Mitchell, Brittani Seynnaeve

Faculty, Staff and Student Publications

Purpose: The purpose of this study was to develop recommendations for the diagnostic evaluation and surgical management of cutaneous melanoma (CM) and atypical Spitz tumors (AST) and non-Spitz melanocytic tumors (melanocytomas) in pediatric (age 0-10 years) and adolescent (age 11-18 years) patients.

Methods: A Children's Oncology Group-led panel with external, multidisciplinary CM specialists convened to develop recommendations on the basis of available data and expertise.

Results: Thirty-three experts from multiple specialties (cutaneous/medical/surgical oncology, dermatology, and dermatopathology) established recommendations with supporting data from 87 peer-reviewed publications.

Recommendations: (1) Excisional biopsies with 1-3 mm margins should be performed when feasible for clinically …

Sap30, A Novel Autophagy Regulatory Gene In Neuroblastoma, Anup S Pathania, Anjana Murugan, Areem Zahid, Haritha Chava, Don W Coulter, George A Calin, Kishore B Challagundla

Faculty, Staff and Student Publications

Neuroblastoma (NB), a devastating pediatric cancer originating from neural crest cells crucial for nervous system development, poses a significant therapeutic challenge. Despite chemotherapy being the primary treatment, approximately 70% of high-risk NB cases develop resistance. Autophagy is vital for neuronal development, balance, and differentiation of neural stem cells into mature neurons. However, the intricate mechanisms governing autophagy and the pivotal genes orchestrating its regulation in NB remain largely elusive. In this study, we first identified Sin3A Associated Protein 30 (SAP30) as a novel regulator of autophagy in NB. Silencing SAP30 inhibits autophagy and disrupts starvation-induced physiological autophagy in NB cells. …

Do We Need To Add The Type Of Treatment Planning System, Dose Calculation Grid Size, And Ct Density Curve To Predictive Models?, Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

Faculty, Staff and Student Publications

Background: Generalizability and domain dependency are critical challenges in developing predictive models for healthcare, particularly in medical diagnostics and radiation oncology. Predictive models designed to assess tumor recurrence rely on comprehensive and high-quality datasets, encompassing treatment planning parameters, imaging protocols, and patient-specific data. However, domain dependency, arising from variations in dose calculation algorithms, computed tomography (CT) density conversion curves, imaging modalities, and institutional protocols, can significantly undermine model reliability and clinical utility.

Methods: This study evaluated dose calculation differences in the head and neck cancer treatment plans of 19 patients using two treatment planning systems, Pinnacle 9.10 and RayStation 11, …

Dna Damage Response Signatures Are Associated With Frontline Chemotherapy Response And Routes Of Tumor Evolution In Extensive Stage Small Cell Lung Cancer, Benjamin B Morris, Simon Heeke, Yuanxin Xi, Lixia Diao, Qi Wang, Pedro Rocha, Edurne Arriola, Myung Chang Lee, Darren R Tyson, Kyle Concannon, Kavya Ramkumar, C Allison Stewart, Robert J Cardnell, Runsheng Wang, Vito Quaranta, Jing Wang, John V Heymach, Barzin Y Nabet, David S Shames, Carl M Gay, Lauren A Byers

Faculty, Staff and Student Publications

Introduction: A hallmark of small cell lung cancer (SCLC) is its recalcitrance to therapy. While most SCLCs respond to frontline therapy, resistance inevitably develops. Identifying phenotypes potentiating chemoresistance and immune evasion is a crucial unmet need. Previous reports have linked upregulation of the DNA damage response (DDR) machinery to chemoresistance and immune evasion across cancers. However, it is unknown if SCLCs exhibit distinct DDR phenotypes.

Methods: To study SCLC DDR phenotypes, we developed a new DDR gene analysis method and applied it to SCLC clinical samples, in vitro, and in vivo model systems. We then investigated how DDR regulation is …

Icos-Expressing Car-T Cells Mediate Durable Eradication Of Triple-Negative Breast Cancer And Metastasis, Shelley Herbrich, Mehdi Chaib, Padmanee Sharma

Faculty, Staff and Student Publications

Triple-negative breast cancer (TNBC) remains one of the most aggressive and therapeutically challenging breast cancer subtypes. In their recent study, Cao et al introduced a B7H3-specific chimeric antigen receptor (CAR)-T cell with constitutive inducible co-stimulator (ICOS) expression (ICOS-B7H3-CAR-T), which demonstrated eradication of TNBC, including metastases, in preclinical models. These CAR-T cells exploit the expression of ICOS ligand on TNBC cells, enhancing antitumor cytotoxicity through ICOS signaling. Compared with conventional B7H3-CAR-T cells, the ICOS-B7H3-CAR-T cells exhibited superior antitumor efficacy, increased cytokine secretion, and prolonged survival in xenograft murine models. This study highlights ICOS as a promising co-stimulatory molecule for improving CAR-T …

Mathematical Modeling To Address Questions In Breast Cancer Screening: An Overview Of The Breast Cancer Models Of The Cancer Intervention And Surveillance Modeling Network, Oguzhan Alagoz, Jennifer L Caswell-Jin, Harry J De Koning, Hui Huang, Xuelin Huang, Sandra J Lee, Yisheng Li, Sylvia K Plevritis, Swarnavo Sarkar, Clyde B Schechter, Natasha K Stout, Amy Trentham-Dietz, Nicolien Van Ravesteyn, Kathryn P Lowry

Faculty, Staff and Student Publications

The National Cancer Institute-funded Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer mathematical models have been increasingly utilized by policymakers to address breast cancer screening policy decisions and influence clinical practice. These well-established and validated models have a successful track record of use in collaborations spanning over 2 decades. While mathematical modeling is a valuable approach to translate short-term screening performance data into long-term breast cancer outcomes, it is inherently complex and requires numerous inputs to approximate the impacts of breast cancer screening. This review article describes the 6 independently developed CISNET breast cancer models, with a particular focus …

Near-Infrared Fluorescence Imaging With An Met-Targeting Probe For Biopsy Site Selection In Patients With Oral Potentially Malignant Disorders, Jingbo Wang, Xuemin Shen, Qifan Ma, Lin Yang, Xiaoyu Zhou, Luting Wang, Junqi Cui, Chunye Zhang, Guojun Li, Neil Gross, Siyi Li, Ruimin Huang, Changyou Zhan, Zhen Cheng, Kun Wang, Jie Tian, Ying Yuan, Xiaofeng Tao

Faculty, Staff and Student Publications

Accurate detection of malignant transformation in oral potentially malignant disorders (OPMDs) is crucial for guiding effective treatment and improving patient management. This study evaluates the potential of MET-binding peptide-indocyanine green (cMBP-ICG), a mesenchymal-epithelial transition factor (MET)-targeted near-infrared fluorescence imaging (NIRFI) probe, for biopsy site selection in OPMDs. Preclinical results demonstrate the superior accuracy of NIRFI-assisted biopsy over conventional oral examination (COE)-based biopsy in detecting high-grade dysplasia (HGD) or squamous cell carcinoma (SCC) and reducing missed detection rates. In a clinical trial with 50 patients, NIRFI-assisted biopsy achieves significantly higher diagnostic accuracy compared to COE-based biopsy (91% vs. 72%, p = …

Guanine Nucleotide Biosynthesis Blockade Impairs Mll Complex Formation And Sensitizes Leukemias To Menin Inhibition, Xiangguo Shi, Minhua Li, Zian Liu, Jonathan Tiessen, Yuan Li, Jing Zhou, Yudan Zhu, Swetha Mahesula, Qing Ding, Lin Tan, Mengdie Feng, Yuki Kageyama, Yusuke Hara, Jacob J Tao, Xuan Luo, Kathryn A Patras, Philip L Lorenzi, Suming Huang, Alexandra M Stevens, Koichi Takahashi, Ghayas C Issa, Md Abul Hassan Samee, Michalis Agathocleous, Daisuke Nakada

Faculty, Staff and Student Publications

Targeting the dependency of MLL-rearranged (MLLr) leukemias on menin with small molecule inhibitors has opened new therapeutic strategies for these poor-prognosis diseases. However, the rapid development of menin inhibitor resistance calls for combinatory strategies to improve responses and prevent resistance. Here we show that leukemia stem cells (LSCs) of MLLr acute myeloid leukemia (AML) exhibit enhanced guanine nucleotide biosynthesis, the inhibition of which leads to myeloid differentiation and sensitization to menin inhibitors. Mechanistically, targeting inosine monophosphate dehydrogenase 2 (IMPDH2) reduces guanine nucleotides and rRNA transcription, leading to reduced protein expression of LEDGF and menin. Consequently, the formation and chromatin binding …

Diverse Ancestral Representation Improves Genetic Intolerance Metrics, Alexander L Han, Chloe F Sands, Dorota Matelska, Jessica C Butts, Vida Ravanmehr, Fengyuan Hu, Esmeralda Villavicencio Gonzalez, Nicholas Katsanis, Carlos D Bustamante, Quanli Wang, Slavé Petrovski, Dimitrios Vitsios, Ryan S Dhindsa

Duncan NRI Faculty and Staff Publications

The unprecedented scale of genomic databases has revolutionized our ability to identify regions in the human genome intolerant to variation—regions often implicated in disease. However, these datasets remain constrained by limited ancestral diversity. Here, we analyze whole-exome sequencing data from 460,551 UK Biobank and 125,748 Genome Aggregation Database (gnomAD) participants across multiple ancestries to test several key intolerance metrics, including the Residual Variance Intolerance Score (RVIS), Missense Tolerance Ratio (MTR), and Loss-of-Function Observed/Expected ratio (LOF O/E). We demonstrate that increasing ancestral representation, rather than sample size alone, critically drives their performance. Scores trained on variation observed in African and Admixed …