Biomedical Informatics Commons^™

Investigating Prognostic Features In High-Grade Serous Ovarian Cancer Through Gene Regulatory Network Inference With Single-Cell Transcriptomic Profiles, Toshiyuki Itai, Yulin Dai, Wendao Liu, Dung-Fang Lee, Zhongming Zhao

Faculty, Staff and Student Publications

This study aimed to identify prognostic features in high-grade serous ovarian cancer (HGSOC) through the application of gene regulatory network (GRN) inference with single-cell RNA-sequencing (scRNA-seq) profiles. To achieve this goal, we developed a workflow comprising scRNA-seq analysis, metacell construction, GRN inference, and a binary classification task for prognosis prediction. We curated 118,173 cells from HGSOC patients in three conditions (Before-chemotherapy, After-chemotherapy, and control samples) from previous studies, and then constructed 1,211 metacells. GRN inference analysis revealed 312 regulons, each consisting of one transcription factor and its targeted features. For prognosis evaluation, we used bulk RNA-seq data covering 342 HGSOC …

Distinct Tumor-Associated Macrophage Signatures Shape The Immune Microenvironment And Patient Prognosis In Renal Cell Carcinoma, Youngsoo Han, Aidan Shen, Cheng-Chi Chao, Lucas Yeung, Aliesha Garrett, Jianming Zeng, Satoru Kawakita, Jesse Wang, Zhaohui Wang, Alireza Hassani, Xiling Shen, Chongming Jiang

Faculty, Staff and Student Publications

Renal cell carcinoma (RCC) accounts for 90% of adult renal cancer cases and is characterized by significant heterogeneity within its tumor microenvironment. This study tests the hypothesis that tumor-associated macrophages (TAMs) influence RCC progression and patient response to treatment by investigating the prognostic implications of TAM signatures. Utilizing independent single-cell RNA sequencing data from RCC patients, we developed eight distinct TAM signatures reflective of TAM presence. A LASSO Cox regression model was constructed to predict survival outcomes, evaluated using the TCGA dataset, and validated across independent RCC cohorts. Model performance was assessed through Kaplan-Meier survival plots, receiver operating characteristic (ROC) …

Early Ctdna Dynamics Inform First-Line Therapy In Patients With Extensive-Stage Small Cell Lung Cancer, Carmela Ciardullo, Luis Tobalina, T Hedley Carr, Philip Szekeres, Silvija Kraljevic, Lauren Averett Byers, Giulia Fabbri

Faculty, Staff and Student Publications

Purpose: Small cell lung cancer (SCLC) is an aggressive malignancy with a poor prognosis despite initial treatment responses. This study evaluates ctDNA for monitoring disease and assessing the efficacy of first-line therapy in patients with extensive-stage SCLC (1L ES-SCLC).

Experimental design: In the TAZMAN trial, 31 patients with 1L ES-SCLC received standard treatment with durvalumab and etoposide plus carboplatin or cisplatin. We analyzed 228 plasma samples from 27 of 31 patients using a liquid biopsy approach to detect somatic mutations and copy-number aberrations, while also accounting for clonal hematopoiesis mutations.

Results: Baseline ctDNA analysis detected somatic alterations in 96.3% of …

Acute Kidney Injury Is Associated With Elevated Urinary Endotrophin, Amanda J Clark, Brenda Mendoza Flores, Marie Christelle Saade, Kyle Q Vu, Isaac J Pence, Ningyan Zhang, Zhiqiang An, Dawei Bu, Philipp E Scherer, Samir M Parikh

Faculty, Staff and Student Publications

Acute kidney injury (AKI) is prevalent among hospitalized patients. Novel biomarkers are needed to diagnose AKI and target therapies. Endotrophin (ETP) is a molecule released during collagen type VI formation that may promote injury and fibrosis. Although serum ETP elevation has been associated with adverse outcomes in AKI, urinary ETP has not been assessed in AKI, nor has ETP been evaluated in a pediatric population. Urine samples were collected from a tertiary children's hospital. Medical records were reviewed, and patients who met criteria were sorted into three categories:

Inflammation And Mutational Burden Differentially Associated With Nivolumab Or Ipilimumab Combination Efficacy In Colorectal Cancer, Ming Lei, Michael J Overman, Jin Yao, Thierry André, Sara Lonardi, Heinz-Josef Lenz, Massimo Aglietta, Fabio Gelsomino, Ray Mcdermott, Ka Yeung Mark Wong, Michael A Morse, Eric Van Cutsem, Alain Hendlisz, Dana B Cardin, Bart Neyns, Andrew Hill, Anuradha Krishnamurthy, Franklin Chen, Samith Kochuparambil, Robert R Jenq, Sandzhar Abdullaev, Beilei He, Ruslan Novosiadly, Scott Kopetz

Faculty, Staff and Student Publications

Nivolumab alone and in combination with ipilimumab demonstrated durable clinical benefit in patients with previously treated microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer in the phase 2 CheckMate 142 study. Here, we report exploratory biomarker analyses from CheckMate 142 evaluating associations between various tissue biomarkers and the efficacy of nivolumab monotherapy and nivolumab plus ipilimumab combination in these patients. Higher expression of inflammation-related gene expression signatures is associated with improved response per investigator assessment and survival benefit with nivolumab monotherapy. In contrast, higher tumor mutational burden, tumor indel burden, and degrees of microsatellite instability are associated with improved response per investigator …

Multiplexed Imaging Mass Cytometry Reveals Tumor-Immune Microenvironment-Dependent Hormone Receptor Expression In Adult-Type Ovarian Granulosa Cell Tumors, Eleonora Y Khlebus, Veena K Vuttaradhi, Sammy Ferri-Borgogno, Allison L Brodsky, Barrett C Lawson, Samuel C Mok, R Tyler Hillman

Faculty, Staff and Student Publications

Adult-type granulosa cell tumors (AGCT) are rare ovarian tumors with few effective treatments for recurrent disease. To elucidate spatial features and cellular interactions within the AGCT tumor microenvironment, we applied imaging mass cytometry using a 34-marker panel on 130 regions from 24 AGCT samples, profiling more than 900,000 single cells. Analysis confirmed the immune “cold” phenotype of AGCTs and showed higher macrophage abundance in recurrent compared with primary tumors. We observed substantial heterogeneity in tissue architecture across samples, including variable presence of FOXL2+ cells embedded in collagen-rich regions (FOXL2+COL1A1+ cells). Based on tumor microenvironment composition, we defined two AGCT subtypes: …

Surgical And Blood-Based Minimal Residual Disease In Patients With Ovarian Cancer After First-Line Therapy: Clinical Outcomes And Translational Opportunities, Anne Knisely, Yibo Dai, Graham L Barlow, Sanghoon Lee, Barrett Lawson, Helen Clark, Bryan Fellman, Ying Yuan, Wei Lu, Idania Carolina Lubo Julio, Rossana N Lazcano, Manoj Chelvanambi, Brenda Melendez, Bharat Singh, Bhavana Singh, Khalida Wani, Jianfeng Chen, Chih-Chen Yeh, Jianjun Gao, Sean Barnes, Ou Shi, Khaja B Khan, Alejandra G Serrano, Lorena I Gomez-Bolanos, Carly Bess Scalise, Samantha K Cheung, Punashi Dutta, Sharlene Velichko, Adam C Elnaggar, Minetta C Liu, Roni N Wilke, Jeffrey How, Lois M Ramondetta, David M Boruta, Gwyn Richardson, Aaron Shafer, Shannon N Westin, Travis Sims, Anil K Sood, Pedro T Ramirez, Alexander J Lazar, Pamela T Soliman, Karen Lu, Cara L Haymaker, Luisa M Solis Soto, Jennifer A Wargo, Rachel Grisham, Kai W Wucherpfennig, Linghua Wang, Amir A Jazaeri

Faculty, Staff and Student Publications

Purpose: Minimal residual disease (MRD) after first-line treatment of advanced-stage ovarian cancer remains a long-standing barrier to cure. We investigated the prognostic and translational value of MRD detection by second-look laparoscopy (SLL) and ctDNA at the completion of first-line therapy.

Experimental design: Patients with high-grade epithelial ovarian cancer who had a complete clinical response to first-line therapy and underwent SLL and plasma collection for ctDNA were included. Progression-free survival (PFS) and overall survival (OS) were estimated based on MRD and clinicopathologic status. Spatial transcriptomics (GeoMx and Visium) and proteomics (CODEX) profiling were performed on serial samples from select patients.

Results: …

Epigenetic Age Acceleration Mediates Treatment Effects On Cardiometabolic And Cardiovascular Risk In Childhood Cancer Survivors, Xiaoxi Meng, Tiffany Eulalio, Yoonji Kim, John Easton, Heather L Mulder, Emily Walker, Geoffrey Neale, Nan Song, Kyla Shelton, Rebecca M Howell, Mengqi Xing, Sedigheh Mirzaei, Deo Kumar Srivastava, Bonnie Ky, Stephanie B Dixon, Melissa M Hudson, Kirsten K Ness, Gregory T Armstrong, Zhaoming Wang

Faculty, Staff and Student Publications

BACKGROUND: Childhood cancer survivors are at increased risk for epigenetic age acceleration (EAA) and subsequent morbidities, including cardiometabolic risk factors (CMRFs) and cardiovascular diseases, because of prior genotoxic treatments.

OBJECTIVES: The aim of this study was to evaluate the mediating role of EAA in the relationship between cancer treatment exposures and risk for CMRFs and cardiovascular diseases.

METHODS: This study included 2,939 5-year survivors from SJLIFE (St. Jude Lifetime Cohort) who underwent DNA methylation profiling using peripheral blood mononuclear cells. EAA was calculated using 3 established epigenetic clocks: DunedinPACE, PCPhenoAge, and GrimAge2. Treatment data, including body region-specific radiotherapy (RT) and …

Imaging- And Tumor Biomarker-Based Multivariable Model For Early Prediction Of Pathologic Complete Response To Neoadjuvant Systemic Therapy In Triple-Negative Breast Cancer, Beatriz E Adrada, Mary S Guirguis, Lei Huo, Clinton Yam, Debu Tripathy, Rosalind Candelaria, Wei Yang, Miral Patel, Tanya Moseley, Gary J Whitman, Jessica W T Leung, Huong Le-Petross, Deanna L Lane, Nour Abuhadra, Jennifer Litton, Vicente Valero, Kelly K Hunt, Banu Arun, Rania Mohamed, Jia Sun, Anil Korkut, Sanaz Pashapoor, Jason White, Alastair Thompson, Peng Wei, Jingfei Ma, Stacy Moulder, Gaiane M Rauch

Faculty, Staff and Student Publications

Purpose: The response of triple-negative breast cancer (TNBC) to neoadjuvant therapy (NAT) varies widely. This study aimed to determine the performance of clinicopathologic biomarkers and volumetric changes on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting pathologic complete response (pCR) to NAT in patients with TNBC.

Patients and methods: This study included 264 patients with stage I to III TNBC enrolled in a prospective clinical trial. These patients underwent DCE-MRI at baseline and after two and/or after four cycles of dose-dense anthracycline and cyclophosphamide. Tumor volume (TV) was calculated by measuring three tumor dimensions at each time point. Clinicopathologic markers …

Chromosome 20q Gene Signature Associated With Colorectal Cancer Progression, Jennifer Carter Jones, Apurva M Hegde, Yu-Jing Huang, Ganiraju Manyam, Vibhuti Srivastava, Jee Hoo Song, Yulan Cheng, Ralf Krahe, Warapen Treekitkarnmongkol, Stephen J Meltzer, Scott Kopetz, Stanley R Hamilton, Hiroshi Katayama, Subrata Sen

Faculty, Staff and Student Publications

Amplification of human chromosome 20q has been reported as the most frequently recurring genetic abnormality associated with large scale changes in mRNA and protein levels in sporadic colorectal carcinomas. While some studies have found 20q amplification to be consistent between primary and metastatic samples from the same patient with a role in the development of metastasis and worse patient prognosis, others have reported association with improved overall survival for a subset of these patients with colorectal cancer (CRC). To fine map the Minimal Common Regions (MCRs) of amplification on chromosome 20q and identify the candidate genes playing roles in progression …

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.

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 …

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 …

The Global Neurodegeneration Proteomics Consortium: Biomarker And Drug Target Discovery For Common Neurodegenerative Diseases And Aging, Farhad Imam, Rowan Saloner, Jacob W Vogel, Varsha Krish, Gamal Abdel-Azim, Muhammad Ali, Lijun An, Federica Anastasi, David Bennett, Alexa Pichet Binette, Adam L Boxer, Martin Bringmann, Jeffrey M Burns, Carlos Cruchaga, Jeff L Dage, Amelia Farinas, Luigi Ferrucci, Caitlin A Finney, Mark Frasier, Oskar Hansson, Timothy J Hohman, Erik C B Johnson, Mika Kivimaki, Roxanna Korologou-Linden, Agustin Ruiz Laza, Allan I Levey, Inga Liepelt-Scarfone, Lina Lu, Niklas Mattsson-Carlgren, Lefkos T Middleton, Kwangsik Nho, Hamilton Se-Hwee Oh, Ronald C Petersen, Eric M Reiman, Oliver Robinson, Jeffrey D Rothstein, Andrew J Saykin, Artur Shvetcov, Chad Slawson, Bart Smets, Marc Suárez-Calvet, Betty M Tijms, Maarten Timmers, Fernando Vieira, Natalia Vilor-Tejedor, Pieter Jelle Visser, Keenan A Walker, Laura M Winchester, Tony Wyss-Coray, Chengran Yang, Niranjan Bose, Simon Lovestone, The Global Neurodegeneration Proteomics Consortium (Gnpc)

Faculty, Staff and Student Publications

More than 57 million people globally suffer from neurodegenerative diseases, a figure expected to double every 20 years. Despite this growing burden, there are currently no cures, and treatment options remain limited due to disease heterogeneity, prolonged preclinical and prodromal phases, poor understanding of disease mechanisms, and diagnostic challenges. Identifying novel biomarkers is crucial for improving early detection, prognosis, staging and subtyping of these conditions. High-dimensional molecular studies in biofluids ('omics') offer promise for scalable biomarker discovery, but challenges in assembling large, diverse datasets hinder progress. To address this, the Global Neurodegeneration Proteomics Consortium (GNPC)-a public-private partnership-established one of the …

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 …

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 …

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. …

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 …