Genetic Phenomena Commons^™

Associations Of High Attenuation Area-Related Proteomic Biomarkers With Fibrotic Or Subpleural Interstitial Lung Abnormalities, John S Kim, Catherine L Debban, Daniel E Guzman, Riley T Hannan, Mary Salvatore, Claire Mcgroder, David Zhang, Anna J Podolanczuk, Daniel A Duprez, Shwu-Fan Ma, Yong Huang, Jeffrey M Sturek, Stephen S Rich, Jerome I Rotter, Rajat Deo, Ruth F Dubin, Janelle Vu Pugashetti, Jennifer M Wang, Meilan K Han, Justin M Oldham, Imre Noth, Prescott G Woodruff, Victor E Ortega, Julie C Fanburg-Smith, Edward B Stelow, Christopher A Moskaluk, Eric A Hoffman, Christine Kim Garcia, Russell P Bowler, Peter Ganz, R Graham Barr, Ani Manichaikul

Faculty, Staff and Student Publications

No abstract provided.

The Role Of Ceramides As Biomarkers And Therapeutic Targets For Cardiometabolic Disease And Its Intersection With Cellular Aging, Youssef Moustafa Shalaby

Thesis/ Dissertation Defenses

Ceramides (Cer), a subclass of sphingolipids with potent bioactive properties, have gained recognition as key players in the pathogenesis of cardiometabolic diseases (CMD). They modulate critical cellular functions such as apoptosis, inflammation, insulin signaling, and oxidative stress. This dissertation explores the dual role of Cer as both early diagnostic markers and therapeutic targets, bridging clinical insights with mechanistic understanding through a combination of human and experimental studies.

A highly sensitive liquid chromatography–tandem mass spectrometry (LC-MS/MS) method was developed and validated to quantify intracellular levels of specific Cer species, including CerC16:0, CerC18:0, CerC22:0, CerC24:0, and CerC24:1. This method was translated into …

Computationally Resolved Neuroprogenitor Cell Biomarkers Associate With Human Disorders, Gerarda Cappuccio, William T Choi, Fatih Semerci, Jill A Rosenfeld, Toni Claire Tacorda, Guantong Qi, Anthony W Zoghbi, Yi Zhong, Hu Chen, Pengfei Liu, Zhandong Liu, Mirjana Maletić-Savatić

Duncan NRI Faculty and Staff Publications

Adult hippocampal neurogenesis, the process of generating new neurons, relies on a rare population of neural stem and progenitor cells (NPCs) within the dentate gyrus complex microenvironment. Discovering the specific genes that define these cells is vital yet challenging due to overlapping expression patterns, limiting detection of rare cell populations using traditional approaches. By employing the computational digital sorting algorithm (DSA) that deconvolves complex gene expression data based on pattern recognition, we identified 129 genes enriched in murine NPCs. We validated these genes against published single-cell RNA sequencing (scRNA-seq) data and discovered that 25 human orthologs were known to cause …

Detection Of Cancers Three Years Prior To Diagnosis Using Plasma Cell-Free Dna, Yuxuan Wang, Corinne E Joshu, Samuel D Curtis, Christopher Douville, Vernon A Burk, Meng Ru, Maria Popoli, Janine Ptak, Lisa Dobbyn, Natalie Silliman, Josef Coresh, Eric Boerwinkle, Anna Prizment, Chetan Bettegowda, Kenneth W Kinzler, Nickolas Papadopoulos, Elizabeth A Platz, Bert Vogelstein

Faculty, Staff and Student Publications

To explore how early can cancers be detected prior to clinical signs or symptoms, we assessed prospectively collected serial plasma samples from the Atherosclerosis Risk in Communities (ARIC) study, including 26 participants diagnosed with cancer and 26 matched controls. At the index time point, eight of these 52 participants scored positively with a multicancer early detection (MCED) test. All eight participants were diagnosed with cancer within 4 months after blood collection. In six of these 8 participants, we were able to assess an earlier plasma sample collected 3.1 to 3.5 years prior to clinical diagnosis. In four of these six …

Mucinous Cystic Neoplasms Of The Pancreas And Liver Share A Similar Dna Methylation Profile With Mucinous Ovarian Tumors, Zoe Leoni, Teodor G Calina, Tobias Janik, Elena Grafenhorst, Eliane T Taube, Christopher Cm Neumann, Baoqing Chen, Elena I Braicu, Jalid Sehouli, Thomas Malinka, Wenzel Schöning, Johann Pratschke, George A Calin, David S Klimstra, Jamal K Benhamida, Irene Esposito, Markus Möbs, David Horst, Simon Schallenberg, David Capper, Mihnea P Dragomir

Faculty, Staff and Student Publications

The origin of mucinous cystic neoplasms (MCNs) remains a major challenge in hepato-pancreato-biliary pathology. These cystic tumors are defined by their mucinous epithelium and ovarian-like stroma, with an estimated 10% risk of progression to invasive carcinoma. The origin of the ovarian-like stroma remains a subject of debate. In this study, we conducted immunohistochemical profiling, targeted DNA sequencing, and genome-wide DNA methylation analysis on a cohort of 15 pancreatic MCNs (MCN-P) and six hepatic MCNs (MCN-L). Using immunohistochemistry and targeted DNA sequencing, we unequivocally established the diagnosis of MCN. Unsupervised DNA methylation profile analysis of reference classes of pancreatic neoplasms (11 …

Trop2 Expression In Salivary Gland Adenoidcystic Carcinoma (Acc) According To Histologic Subtype: Therapeutic Implications, Juliana Mota Siqueira, Yoshitsugu Mitani, Mario L Marques-Piubelli, Camilla Oliveira Hoff, Flavia Bonini, Luana Guimaraes De Sousa, Mutsumi Mitani, Giovanna Lopes Carvalho, Fabio Daumas Nunes, Leandro Luongo Matos, Shiaw-Yih Lin, Michael T Spiotto, Ehab Y Hanna, Daniel J Mcgrail, Adel K El-Naggar, Renata Ferrarotto

Faculty, Staff and Student Publications

Background: Adenoid cystic carcinoma (ACC) is a common salivary gland carcinoma with high recurrence and distant metastasis rates. Currently, there is no standard systemic treatment available. TROP2 is a transmembrane glycoprotein involved in the oncogenesis of several tumors that can be therapeutically targeted by a TROP2-antibody-drug conjugate (ADC). We aimed to characterize TROP2 expression in ACC and assess TROP2 as a potential therapeutic target.

Methods: TROP2 immunohistochemistry was performed in a tissue microarray including 165 ACC of salivary gland. The tumors were grouped according to the histological pattern as non-solid, solid + non-solid, or solid. TROP2 protein expression in ACC …

Baseline Α-Synuclein Seeding Activity And Disease Progression In Sporadic And Genetic Parkinson’S Disease In The Ppmi Cohort, Jackson G Schumacher, Xinyuan Zhang, Eric A Macklin, Jian Wang, Armin Bayati, Johannes M Dijkstra, Hirohisa Watanabe, Michael A Schwarzschild, Marianna Cortese, Xuehong Zhang, Xiqun Chen

Faculty, Staff and Student Publications

Background: α-Synuclein (α-syn) seed amplification assays (SAAs) have shown remarkable potential in diagnosing Parkinson's disease (PD). Using data from the Parkinson's Progression Markers Initiative (PPMI) cohort, we aimed to test whether baseline α-syn seeding activity and α-syn SAA kinetic parameters are associated with disease progression in sporadic PD, LRRK2-associated PD (LRRK2 PD), and GBA-associated PD (GBA PD).

Methods: We analysed 7 years of motor, non-motor, and cognitive assessments and 5 years of dopamine transporter imaging along with baseline α-syn SAA results from 564 PPMI participants (n = 332 sporadic PD, 162 LRRK2 PD, and 70 GBA PD) using linear mixed-effects …

The Effect Of Tert Promoter Mutation On Predicting Meningioma Outcomes: A Multi-Institutional Cohort Analysis, Karenna J Groff, Ruchit V Patel, Yang Feng, Hia S Ghosh, Miguel A Millares Chavez, Joseph O'Brien, William C Chen, Vijay Nitturi, Akshay V Save, Mark W Youngblood, Craig M Horbinski, James P Chandler, Felix Ehret, Chloe Gui, Justin Z Wang, Kristen Park, Sonia Ajmera, Marc Rosenblum, Abigail K Suwala, Catena Kresbach, Christopher W Mount, Ulrich Schüller, Sandro Santagata, Felix Sahm, Tejus A Bale, Christina Jackson, Timothy E Richardson, Chunyu Cai, Farshad Nassiri, Gelareh Zadeh, David Kaul, David Capper, Stephen T Magill, John G Golfinos, Chandra Sen, Akash J Patel, David R Raleigh, Jennifer Moliterno, Donato Pacione, Matija Snuderl, Wenya Linda Bi

Duncan NRI Faculty and Staff Publications

Background: Molecular aberrations have been incorporated into tumour classification guidelines of meningioma. TERT-promoter (TERTp) mutation is associated with worse prognosis and is designated a WHO grade 3 biomarker. However, it remains unclear whether TERTp mutation is context-dependent, with other co-occurring genetic alterations potentially driving its association with prognosis. We sought to characterise the role of TERTp mutation in meningioma and guide TERTp sequencing.

Methods: We identified 1492 patients of all ages who had previously received surgery for meningioma across 14 medical centres in the USA, Canada, and Germany. Patients were eligible if they had post-surgical clinical or radiographical assessment of …

Plasma Lipidome Dysregulation In Frontotemporal Dementia Reveals Shared, Genotype-Specific, And Severity-Linked Alterations., Yohannes A Ambaw, Peter A Ljubenkov, Shubham Singh, Abdi Hamed, Sebastian Boland, Adam L Boxer, Tobias C Walther, Robert V Farese

Duncan NRI Faculty and Staff Publications

Introduction: Biomarkers are essential for monitoring the progression of frontotemporal dementia (FTD). Although dysregulated brain lipid metabolism, particularly sphingolipids enriched in the nervous system, is a key feature of neurodegeneration, plasma lipids remain underexplored as biomarkers compared to imaging and serum proteins.

Methods: We examined plasma lipidomes using liquid chromatography-tandem mass spectrometry (LC-MS/MS) from individuals carrying pathogenic variants linked to autosomal dominant FTD (GRN, C9orf72, MAPT) and non-carriers.

Results: FTD subjects exhibited increased plasma levels of gangliosides (GM3(d18:1_16:0), GM3(d18:1_24:1)), ceramide Cer(d18:1_23:0), and select polyunsaturated triacylglycerols. In contrast, phosphatidylethanolamine (PE(18:0_24:0) and sphingomyelin (SM(38:0) were reduced. Subtype-specific changes included elevated glucosylsphingosine (GlcSph(d18:1) …

Biomarkers For The Diagnosis Of Indeterminate Pulmonary Nodules: Are We There Yet?, Kevin C Mcgann, Timothy A Khalil, Michael N Kammer, Edwin J Ostrin, Harvey I Pass, Jun-Chieh James Tsay, Leopoldo N Segal, Melissa Potter, Stephen A Deppen, Fabien Maldonado, Eric L Grogan

Faculty, Staff and Student Publications

Indeterminate pulmonary nodules (IPNs), which are nodules that cannot be classified as definitively benign or malignant at the time of detection, are now diagnosed on the order of millions per year. Management of IPNs remains heavily debated, and routine practice ultimately involves some balance of overall clinical risk assessment and additional diagnostic tests or procedures which may generate significant risk, cost, and worry. Biomarkers are biologically based tests or indicators capable of accurately characterizing the physiologic properties of homeostasis and disease that are not otherwise easily evaluated by the clinician. Accurate biomarkers thereby serve as reliable surrogates for biological aberrancy, …

Expression Graph Network Framework For Biomarker Discovery, Yang Liu, Jason Huse, Kasthuri Kannan

Faculty, Staff and Student Publications

Biomarker discovery for complex diseases, such as cancer, hinges on uncovering molecular signatures that capture intricate, interconnected relationships within biological data-a challenge that traditional statistical and machine learning methods often fail to meet due to the complexity of high-dimensional gene expression profiles. To overcome this, we introduce the expression graph network framework (EGNF). This cutting-edge graph-based approach integrates graph neural networks with network-based feature engineering to enhance the predictive identification of biomarkers. EGNF constructs biologically informed networks by combining gene expression data and clinical attributes within a graph database, utilizing hierarchical clustering to generate dynamic, patient-specific representations of molecular interactions. …

Circzfr/Ythdf3 Axis Drives Lymph Node Metastasis In Cervical Cancer Via Fasn Translation, Mingyi Zhou, Yan Gao, Yong Zhang, Lian He, Bo Gao, Yue Zhang, Francois X Claret, George A Calin, Danbo Wang

Faculty, Staff and Student Publications

Background: Lymph node metastasis is a key driver of poor outcomes in cervical cancer. However, the molecular mechanisms of circular RNAs (circRNAs) driving cervical cancer lymph node metastasis remain unclear.

Methods: We identified circZFR, fatty acid synthase (FASN) and YTH N6-methyladenosine RNA binding protein F3 (YTHDF3) protein expression in the cervical cancer patients with long and short disease-free survival (DFS). Functional experiments were performed to investigate the function of circZFR, FASN and YTHDF3 on cell migration and invasion. MeRIP-qPCR, RNA pulldown, RNA Immunoprecipitation (RIP), and Co-Immunoprecipitation (Co-IP) assays were executed to investigate the mechanism of circZFR regulating FASN protein expression. …

Multidimensional Analysis Of B7 Homolog 3 Rna Expression In Small Cell Lung Cancer Molecular Subtypes, Carl M Gay, Taofeek K Owonikoko, Lauren A Byers, Noura J Choudhury, Sajid Ahmed, Zachary Cain, Xiaozhong Qian, Matthew Brentnall, Simon Heeke, Ming Poi, Sharon Wu, Charles M Rudin

Faculty, Staff and Student Publications

Purpose: B7 homolog 3 (B7-H3) is a promising target for antibody-drug conjugates, with ifinatamab deruxtecan demonstrating an objective response rate of 54.8% in previously treated extensive-stage small cell lung cancer (SCLC). This analysis aimed to characterize B7-H3 RNA expression with reference to SCLC molecular subtypes (SCLC-A, SCLC-N, SCLC-P, and SCLC-I) and immune-related parameters.

Experimental design: Tumor RNA expression and mutational burden for 1,721 patients with SCLC were derived from a real-world database (Caris Life Sciences). A predominant molecular subtype was assigned based on RNA expression using a gene-ratio classifier. PD-L1 expression was assessed by IHC (antibody 22C3; positive cutoff: tumor …

Csf-Exosomal Mirnas And Delayed Cerebral Ischemia: Insights Into Pathophysiology But No Definitive Biomarkers, Chathathayil M Shafeeque, Devin W Mcbride, Yuanqing Yan, Hussein A Zeineddine, John P Hagen, H Alex Choi, Jude P Savarraj, Ari Dienel, Spiros L Blackburn, Peeyush Kumar Thankamani

Faculty, Staff and Student Publications

Background: Aneurysmal subarachnoid hemorrhage (aSAH) is notoriously known for its high mortality and morbidity. Approximately one-third of the patients who survive aneurysm rupture are reported to develop delayed cerebral ischemia (DCI), which contributes to a poor clinical outcome. Currently, there are no biomarkers for identifying which aSAH patients are at risk of developing DCI. We aimed to determine the feasibility of cerebrospinal fluid (CSF) exosomal microRNAs (miRNAs) for predicting DCI post-aSAH.

Methods: aSAH patients were prospectively enrolled, and CSF samples were collected at two time points (< 24 h and 72 h post-aSAH) from individuals undergoing external ventricular drainage. Exosomal miRNAs were isolated from the CSF for analysis. In the initial group of patients (discovery cohort), an exploratory analysis was conducted using a CSF panel containing 84 miRNAs, assessed by quantitative real-time PCR (RT-qPCR). Based on this analysis, 27 miRNAs were selected for further evaluation in a second group of patients (validation cohort). Among these, 10 miRNAs had previously been reported in SAH-related CSF studies, supporting their relevance for continued investigation.

Results: In this study, RT-qPCR analysis of 84 miRNAs in CSF samples from …

Dalbavancin For Treatment Of Staphylococcus Aureus Bacteremia: The Dots Randomized Clinical Trial, Nicholas A Turner, Toshimitsu Hamasaki, Sarah B Doernberg, Thomas P Lodise, Heather A King, Varduhi Ghazaryan, Sara E Cosgrove, Timothy C Jenkins, Catherine Liu, Shrabani Sharma, Smitha Zaharoff, Lana Wahid, Valerie J Renard, Paul Cook, Issam Raad, Ray Hachem, Anne-Marie Chaftari, Matthew Sims, Carmen Demarco, Loren G Miller, Matthew W Mccarthy, Caryn G Morse, Chris Lucasti, Graeme N Forrest, Kartikeya Cherabuddi, Christopher Polk, Tasaduq Fazili, Mark E Rupp, George R Thompson, Kami Kim, Luke Strnad, Amanda E Schnee, James A Mckinnell, Mayur Ramesh, Fernanda P Silveira, Todd P Mccarty, Todd C Lee, Emily G Mcdonald, Kristopher Paolino, Katie Wiegand, Alison Wall, Todd Riccobene, Rinal Patel, Urania Rappo, Scott Evans, Henry F Chambers, Vance G Fowler, Thomas L Holland

Faculty, Staff and Student Publications

Importance: Dalbavancin is a long-acting intravenous lipoglycopeptide that may be effective for treatment of complicated Staphylococcus aureus bacteremia without requiring long-term intravenous access.

Objective: To evaluate the efficacy and safety of dalbavancin vs standard therapy for completion of treatment of complicated S aureus bacteremia.

Design, setting, and participants: Open-label, assessor-masked, randomized clinical trial conducted from April 2021 to December 2023 at 23 medical centers in the US (n = 22) and Canada (n = 1). Participant follow-up lasted 70 days (180 days for participants with osteomyelitis); date of final follow-up was December 1, 2023. Hospitalized adults with complicated S aureus …

Extracellular Vesicles For Clinical Diagnostics: From Bulk Measurements To Single-Vesicle Analysis, Hai Linh Tran, Wenshu Zheng, David A Issadore, Hyungsoon Im, Yoon-Kyoung Cho, Yuanqing Zhang, Dingbin Liu, Yang Liu, Bo Li, Fei Liu, David Tai Wai Wong, Jiashu Sun, Kun Qian, Mei He, Meihua Wan, Yong Zeng, Ke Cheng, Tony Jun Huang, Daniel T Chiu, Luke P Lee, Lei Zheng, Andrew K Godwin, Raghu Kalluri, Steven A Soper, Tony Y Hu

Faculty, Staff and Student Publications

Extracellular vesicles (EVs) play a crucial role in intercellular communication, signaling pathways, and disease pathogenesis by transporting biomolecules such as DNA, RNA, proteins, and lipids derived from their cells of origin, and they have demonstrated substantial potential in clinical applications. Their clinical significance underscores the need for sensitive methods to fully harness their diagnostic potential. In this comprehensive review, we explore EV heterogeneity related to biogenesis, structure, content, origin, sample type, and function roles; the use of EVs as disease biomarkers; and the evolving landscape of EV measurement for clinical diagnostics, highlighting the progression from bulk measurement to single vesicle …

Integrating Ctdna Analysis And Radiomics For Dynamic Risk Assessment In Localized Lung Cancer, Everett J Moding, Mohammad Shahrokh Esfahani, Cheng Jin, Angela B Hui, Barzin Y Nabet, Yufei Liu, Jacob J Chabon, Michael S Binkley, David M Kurtz, Emily G Hamilton, Aadel A Chaudhuri, Chih Long Liu, Zhe Li, Rene F Bonilla, Alice L Jiang, Brianna C Lau, Pablo Lopez, Jianzhong He, Yawei Qiao, Ting Xu, Luyang Yao, Saumil Gandhi, Zhongxing Liao, Millie Das, Kavitha J Ramchandran, Sukhmani K Padda, Joel W Neal, Heather A Wakelee, Michael F Gensheimer, Billy W Loo, Ruijiang Li, Steven H Lin, Ash A Alizadeh, Maximilian Diehn

Faculty, Staff and Student Publications

The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. Circulating tumor DNA (ctDNA) minimal residual disease after chemoradiotherapy (CRT) for non-small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. Here, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration …

Rna Sequencing And Immunohistochemistry Jointly Improve Tumor Biomarker Interpretation, Vladimir Kushnarev, Danil Stupichev, Suren Davitavyan, Kirill Kriukov, Basavaraja U Shanthappa, Anna Butusova, Sofia Menshikova, Anna Belozerova, Anastasia Shvyrkova, Arina Tkachuk, Olga Khatenkova, Linda Balabanian, Ekaterina Postovalova, Jochen K Lennerz, Funda Meric-Bernstam, Alexander Bagaev

Faculty, Staff and Student Publications

This study aimed to assess the correlation between RNA sequencing (RNA-seq) and immunohistochemistry (IHC) in detecting key cancer biomarkers across solid tumors, and then, to establish RNA-seq thresholds that accurately reflect clinical IHC classifications. Expression levels of nine biomarkers-ESR1, PGR, AR, MKI67, ERBB2, CD274, CDX2, KRT7, and KRT20-were analyzed in 365 formalin-fixed, paraffin-embedded samples from breast, lung, gastrointestinal, and other solid carcinomas. Correlations between RNA-seq data and IHC scores were determined using Spearman's correlation coefficients, with RNA-seq cut-offs established to distinguish positive from negative IHC scores. The results revealed strong correlations for most biomarkers, with coefficients ranging from 0.53 to …

Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States, Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

Multiple myeloma (MM) is an aggressive hematologic malignancy arising from plasma cell (PC) proliferation in the bone marrow, progressing from its precursor states MGUS and SMM. Despite therapeutic advances, MM remains incurable, underscoring the need for better risk stratification and early detection. Tumor heterogeneity and dynamic immune microenvironment changes drive progression, yet bulk analyses overlook rare subpopulations critical to disease evolution and resistance. This study employed multiplexed targeted proteomics to characterize bone marrow aspirates (BMA) from 22 patients to observe the change in the distribution of PCs and tumor immune microenvironment (TiME) cells across MM disease states and controls. Bone …

Acquired Resistance In Cancer: Towards Targeted Therapeutic Strategies, Alice Soragni, Erik S Knudsen, Thomas N O'Connor, Cristina E Tognon, Jeffrey W Tyner, Beatrice Gini, Donghwa Kim, Trever G Bivona, Xingxing Zang, Agnieszka K Witkiewicz, David W Goodrich, Dadi Jiang, Seth T Gammon, Christopher D Willey, Paul C Boutros, Vlad C Sandulache, Abdullah A Osman, Jeffrey N Myers, Kamiya Mehla, Pankaj K Singh, Keith S Chan, Hongbo Gao, Himangi Marathe

Faculty, Staff and Student Publications

Development of acquired therapeutic resistance limits the efficacy of cancer treatments and accounts for therapeutic failure in most patients. How resistance arises, varies across cancer types and differs depending on therapeutic modalities is incompletely understood. Novel strategies that address and overcome the various and complex resistance mechanisms necessitate a deep understanding of the underlying dynamics. We are at a crucial time when innovative technologies applied to patient-relevant tumour models have the potential to bridge the gap between fundamental research into mechanisms and timing of acquired resistance and clinical applications that translate these findings into actionable strategies to extend therapy efficacy. …

Characterization Of The Germline Pathogenic Mutational Landscape And Oncologic Outcomes Among 877 Patients With Invasive Lobular Carcinoma, Victoria D Huynh, Jason Mouabbi, Henry M Kuerer, Kerollos Nashat Wanis, Hiam M Abdel-Salam, Angelica M Gutierrez, Helen M Johnson, Anthony Lucci, Kelly K Hunt, Banu K Arun

Faculty, Staff and Student Publications

Purpose: There is a paucity of literature on germline pathogenic variants (gPVs) in patients with invasive lobular carcinoma (ILC). This study characterizes the landscape and compares clinicopathologic variables and treatment outcomes between those with and without gPVs.

Methods: A prospectively maintained institutional database was used to identify all patients diagnosed with nonmetastatic ILC who had germline genetic testing. Clinicopathologic characteristics and time to recurrence, contralateral cancer, and death were compared for patients with and without gPVs. Conditional hazard ratios, computed by Cox proportional hazards models, described associations between clinicopathologic factors, including gPV status, and cancer events.

Results: Of 4398 patients …

Machine-Learning Driven Strategies For Adapting Immunotherapy In Metastatic Nsclc, Maliazurina B Saad, Qasem Al-Tashi, Lingzhi Hong, Vivek Verma, Wentao Li, Daniel Boiarsky, Shenduo Li, Milena Petranovic, Carol C Wu, Brett W Carter, Girish S Shroff, Tina Cascone, Xiuning Le, Yasir Y Elamin, Mehmet Altan, Simon Heeke, Ajay Sheshadri, Joe Y Chang, Percy P Lee, Zhongxing Liao, Don L Gibbons, Ara A Vaporciyan, J Jack Lee, Ignacio I Wistuba, Cara Haymaker, Seyedali Mirjalili, David Jaffray, Justin F Gainor, Yanyan Lou, Alessandro Di Federico, Federica Pecci, Mark Awad, Biagio Ricciuti, John V Heymach, Natalie I Vokes, Jianjun Zhang, Jia Wu

Faculty, Staff and Student Publications

Immune checkpoint inhibitors (ICIs), either as monotherapy (ICI-Mono) or combined with chemotherapy (ICI-Chemo), improves survival in advanced non-small cell lung cancer (NSCLC). However, prospective guidance for choosing between these options remains limited, and single-feature biomarkers like PD-L1 prove inadequate. We develop a machine learning model using clinicogenomic data from four cohorts (MD Anderson n = 750; Mayo Clinic n = 80; Dana-Farber n = 1077; Stand Up To Cancer n = 393) to predict individual benefit from adding chemotherapy. Benefit scores are calculated using five distinct functions derived from 28 genomic and 6 clinical features. Our integrated model, A-STEP (Attention-based …

Detection Of Oncogenic Fusions In Colorectal Cancer Using A Partner-Agnostic Next-Generation Sequencing Approach, Andrew J Pellatt, Reagan M Barnett, Sante Gnerre, Kristin Edwards, Jason A Willis, Michael J Overmann, Kanwal Raghav, Christine M Parseghian, Arvind Dasari, M Pia Morelli, Alisha Bent, Madhulika Eluri, Nicholas Hornstein, Leylah M Drusbosky, Scott Kopetz, Van K Morris

Faculty, Staff and Student Publications

Background: Gene fusions exist with low prevalence in colorectal cancer (CRC), and the clinical utility of fusion testing in advanced CRC remains unclear. We sought to identify oncogenic fusions in patients with advanced CRC using a fusion partner-agnostic circulating tumor DNA (ctDNA) assay to better understand their clinical relevance.

Methods: We performed a retrospective analysis using de-identified data from 18,558 patients with advanced CRC who underwent ctDNA next-generation sequencing with Guardant360® from 2017 to 2022. These samples were subsequently reanalyzed with a partner-agnostic bioinformatics method to identify both clonal and non-clonal fusions. We analyzed for associations between fusions and MSI-H …

Potential Biological And Genetic Links Between Dementia And Osteoporosis: A Scoping Review, Abayomi N Ogunwale, Paul E Schulz, Jude K Des Bordes, Florent Elefteriou, Nahid J Rianon

Faculty, Staff and Students Publications

Background: The biological mediators for the epidemiologic overlap between osteoporosis and dementia are unclear. We undertook a scoping review of clinical studies to identify genetic and biological factors linked with these degenerative conditions, exploring the mechanisms and pathways connecting both conditions.

Methods: Studies selected (1) involved clinical research investigating genetic factors or biomarkers associated with dementia or osteoporosis, and (2) were published in English in a peer-reviewed journal between July 1993 and March 2025. We searched Medline Ovid, Embase, PsycINFO, the Cochrane Library, the Web of Science databases, Google Scholar, and the reference lists of studies following the guidelines for …

Ctdna Analysis In Erbb2-Amplified Colorectal Cancer: Biomarker Analysis Of The Mypathway Trial, Funda Meric-Bernstam, Kanwal Pratap Singh Raghav, Christopher J Sweeney, Charles Swanton, David R Spigel, Ron Bose, Howard A Burris, Claire F Friedman, Carin R Espenschied, Jessica M Grindheim, Julia Malato, Katja Schulze, Richard Price, Razelle Kurzrock

Faculty, Staff and Student Publications

Purpose: A combination of two HER2-directed antibodies, pertuzumab and trastuzumab (P + T), has antitumor activity in HER2-positive colorectal cancer. Although liquid biopsies are increasingly being used in clinical oncology, the association between tumor and ctDNA ERBB2 status and ctDNA monitoring for early response and resistance are unknown.

Patients and methods: Eighty-five patients with ERBB2-amplified and/or -overexpressed colorectal cancer were treated with P + T in the MyPathway trial; 42 had ctDNA testing at cycle (C) 1 day (D) 1, and 38 had longitudinal plasma tested for ctDNA. We analyzed the ctDNA versus tissue ERBB2 concordance, genomic co-alterations, and ctDNA …

Extracellular Vesicles In Cancer: From Isolation And Characterization To Metastasis, Drug Resistance, And Clinical Applications, Ancuta Jurj, Doru Paul, George A Calin

Faculty, Staff and Student Publications

Cancer progression, along with other hallmarks of cancer, is sustained through bidirectional cell-to-cell communication. This function is primarily facilitated by lipid-rich nanoparticles expelled into the extracellular matrix by stromal and/or malignant cells. These entities, known as extracellular vesicles, contain a vast repertoire of bioactive molecules and hold promise as potential biomarkers and nanovehicles for drug delivery. Intriguingly, the cellular and molecular mechanisms governing the functions of extracellular vesicles remain poorly understood. In the present manuscript, we highlight the intracellular and intercellular journey of extracellular vesicles, from their inception to the present day, their implications in various hallmarks of cancer, and …

Mtap Immunohistochemistry As A Surrogate Marker Of Cdkn2a Loss In Brain Tumors: A Meta-Analysis And Literature Review, Antonio Dono, Diego Pichardo-Rojas, Leonardo Mendoza Mora, Pavel S Pichardo-Rojas, Luis A Marin-Castañeda, Abril Carrillo, Adrian Coria Medrano, Yoshua Esquenazi, Leomar Y Ballester

Faculty, Staff and Student Publications

Given the known relationship between CDKN2A homozygous deletion (HD) and worsened outcomes in both meningiomas and IDH-mutant astrocytomas, it is paramount to identify CDKN2A HD for accurate risk stratification of patients. Multiple array platforms can detect CDKN2A HD. However, these methods are expensive and are not readily available at every institution. To address this, we conducted a meta-analysis and literature review to evaluate 5'-methylthioadenosine phosphorylase (MTAP) expression determined by immunohistochemistry (IHC) as a surrogate of CDKN2A HD. Our study analyzed 7 cohort studies, 3 of which focused on meningiomas encompassing a total of 87 patients; and 4 studies were conducted …

Blood-Based Proteomic Profiling Identifies Osmr As A Novel Biomarker Of Aml Outcomes, Patrick K Reville, Bofei Wang, Jennifer Marvin-Peek, Bin Yuan, Yu-An Kuo, Araceli Garza, Jessica Root, Wei Qiao, Andrea Arruda, Ivo Veletic, Yiwei Liu, Nicholas J Short, Courtney D Dinardo, Tapan M Kadia, Naval G Daver, Philip L Lorenzi, Koji Sasaki, Steven Kornblau, Mark D Minden, Farhad Ravandi, Hagop M Kantarjian, Hussein A Abbas

Faculty, Staff and Student Publications

Inflammation is increasingly recognized as a critical factor in acute myeloid leukemia (AML) pathogenesis. We performed blood-based proteomic profiling of 251 inflammatory proteins in 543 patients with newly diagnosed AML. Using a machine learning model, we derived an 8-protein prognostic score termed the leukemia inflammatory risk score (LIRS). Individual proteins were evaluated in multivariable Cox models, and model performance was assessed by cumulative concordance index. Findings were validated in internal and external cohorts across 2 institutions. Blood-based LIRS significantly outperformed the European LeukemiaNet 2022 risk model and was independently prognostic of overall survival after accounting for known clinical and molecular …

Proteogenomic Analysis Of The Calgb 40601 (Alliance) Her2+ Breast Cancer Neoadjuvant Trial Reveals Resistance Biomarkers, Eric J Jaehnig, Aranzazu Fernandez-Martinez, Tanmayi D Vashist, Matthew V Holt, Laterrica Williams, Jonathan T Lei, Chang In Moon, Beom-Jun Kim, Yongchao Dou, Haoquan Zhao, Viktoriya Korchina, Richard A Gibbs, Donna Marie Muzny, Harshavardhan Doddapaneni, Charles M Perou, Lisa A Carey, Ana I Robles, Terry Hyslop, Yujia Wen, Linda Mccart, Azra Krek, Francesca Petralia, George Miles, Shyam M Kavuri, Michael A Gillette, D R Mani, Steven A Carr, Bing Zhang, Matthew J Ellis, Shankha Satpathy, Meenakshi Anurag

Faculty, Staff and Students Publications

Proteogenomic analysis is applied to samples from the CALGB 40601 (Alliance) randomized neoadjuvant trial of trastuzumab, lapatinib, or the combination to identify biomarkers associated with pathological response status. Absence of ERBB2 gene amplification and human epidermal growth factor receptor 2 (HER2) protein overexpression by proteogenomics is associated with non-pathological compete response (pCR) (p < 0.05), highlighting potential false positives from standard diagnostics. Pathway analysis in proteogenomics-confirmed HER2+ samples identifies elevated epithelial-mesenchymal transition (EMT) and WNT-β-catenin signaling in non-pCR cases before treatment. Twenty-four pCR-associated proteins reproduce in a second proteomic dataset, and four (GPRC5A, TPBG, SP140L, and NEU1) are significant in a third. A meta-analysis of ten diverse neoadjuvant anti-HER2 treatment regimens from four independent studies confirms that non-pCR cases express higher levels of mRNA for G protein-coupled receptor class C group 5 member A (GPRC5A, p = 0.0002) and trophoblast glycoprotein (TPBG, p = 0.00008). Thus, proteogenomic analysis identifies negative biomarkers for pCR and alternative plasma membrane targets for treatment-resistant HER2+ breast cancer.

Integrated Metabolomics And Spatial Transcriptomics Of Cystic Pancreatic Cancer Precursors Reveals Dysregulated Polyamine Metabolism As A Biomarker Of Progression, Ricardo A León-Letelier, Yihui Chen, Rongzhang Dou, Ehsan Irajizad, Michele T Yip-Schneider, Ranran Wu, Rahmah Ejaz, Hamid K Rudsari, Yaxi Li, Rachelle Spencer, Riccardo Ballarò, Jody Vykoukal, Mark Hurd, Jennifer B Dennison, Kim-Anh Do, Anirban Maitra, Jianjun Zhang, Samir Hanash, C Max Schmidt, Johannes F Fahrmann

Faculty, Staff and Student Publications

Purpose: We conducted metabolomics and spatial cell transcriptomics of intraductal papillary mucinous neoplasms (IPMN), recognized pancreatic cancer precursors, to identify oncometabolites that inform upon risk of malignancy of IPMNs.

Experimental design: Untargeted metabolomic analyses were performed on cystic fluid from 125 patients with low-grade (LG) dysplasia or high-grade (HG) dysplasia with/without concurrent pancreatic ductal adenocarcinoma (PDAC; IPMN/PDAC). Predictive performance of individual metabolites for identifying HG or PDAC/IPMN was determined and compared with CA19-9 performance. Data were intersected with metabolic profiles of resected IPMN tissues and murine Kras;Gnas IPMN cell lines as well as spatial and single-cell transcriptomics of IPMNs.

Results: …