Biomedical Informatics Commons^™

A Phase 2 Study Of Decitabine With Or Without Carboplatin And Arsenic Trioxide In Patients With Mds And Aml, Patricia L Kropf, Woonbok Chung, Raji Shameem, Lianchun Xiao, Curt Balch, Xuelin Huang, Jean-Pierre J Issa

Faculty, Staff and Student Publications

Although decitabine (DAC) shows activity against myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), patient responses are limited, and prognoses remain poor. Preclinical studies have indicated that arsenic trioxide (ATO) and carboplatin (Carbo) enhance DAC's epigenetic gene derepression. Consequently, we initiated a randomized phase 2 clinical trial evaluating DAC alone, or with Carbo or ATO, in patients with MDS/AML. Thirty patients were initially randomized to receive DAC alone (20 mg/m2, days 1-5), DAC plus Carbo (AUC 5, day 8), or DAC plus ATO (0.15 mg/kg, days 1-5), followed by adaptive randomization of 61 patients, based on response rates, for at …

The Multilayered Transcriptional Architecture Of Glioblastoma Ecosystems, Masashi Nomura, Avishay Spitzer, Kevin C Johnson, Luciano Garofano, Djamel Nehar-Belaid, Noam Galili Darnell, Alissa C Greenwald, Lillian Bussema, Young Taek Oh, Frederick S Varn, Fulvio D'Angelo, Simon Gritsch, Kevin J Anderson, Simona Migliozzi, L Nicolas Gonzalez Castro, Tamrin Chowdhfury, Nicolas Robine, Catherine Reeves, Jong Bae Park, Anuja Lipsa, Frank Hertel, Anna Golebiewska, Simone P Niclou, Labeeba Nusrat, Sorcha Kellet, Sunit Das, Hyo Eun Moon, Sun Ha Paek, Franck Bielle, Alice Laurenge, Anna Luisa Di Stefano, Bertrand Mathon, Alberto Picca, Marc Sanson, Shota Tanaka, Nobuhito Saito, David M Ashley, Stephen T Keir, Keith L Ligon, Jason T Huse, W K Alfred Yung, Anna Lasorella, Roel G W Verhaak, Antonio Iavarone, Mario L Suvà, Itay Tirosh

Faculty, Staff and Student Publications

In isocitrate dehydrogenase wildtype glioblastoma (GBM), cellular heterogeneity across and within tumors may drive therapeutic resistance. Here we analyzed 121 primary and recurrent GBM samples from 59 patients using single-nucleus RNA sequencing and bulk tumor DNA sequencing to characterize GBM transcriptional heterogeneity. First, GBMs can be classified by their broad cellular composition, encompassing malignant and nonmalignant cell types. Second, in each cell type we describe the diversity of cellular states and their pathway activation, particularly an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like and cilia-like. Third, the remaining variation between GBMs highlights three baseline gene expression …

Deciphering The Longitudinal Trajectories Of Glioblastoma Ecosystems By Integrative Single-Cell Genomics, Avishay Spitzer, Kevin C Johnson, Masashi Nomura, Luciano Garofano, Djamel Nehar-Belaid, Noam Galili Darnell, Alissa C Greenwald, Lillian Bussema, Young Taek Oh, Frederick S Varn, Fulvio D'Angelo, Simon Gritsch, Kevin J Anderson, Simona Migliozzi, L Nicolas Gonzalez Castro, Tamrin Chowdhury, Nicolas Robine, Catherine Reeves, Jong Bae Park, Anuja Lipsa, Frank Hertel, Anna Golebiewska, Simone P Niclou, Labeeba Nusrat, Sorcha Kellet, Sunit Das, Hyo-Eun Moon, Sun Ha Paek, Franck Bielle, Alice Laurenge, Anna Luisa Di Stefano, Bertrand Mathon, Alberto Picca, Marc Sanson, Shota Tanaka, Nobuhito Saito, David M Ashley, Stephen T Keir, Keith L Ligon, Jason T Huse, W K Alfred Yung, Anna Lasorella, Antonio Iavarone, Roel G W Verhaak, Itay Tirosh, Mario L Suvà

Faculty, Staff and Student Publications

The evolution of isocitrate dehydrogenase (IDH)-wildtype glioblastoma (GBM) after standard-of-care therapy remains poorly understood. Here we analyzed matched primary and recurrent GBMs from 59 patients using single-nucleus RNA sequencing and bulk DNA sequencing, assessing the longitudinal evolution of the GBM ecosystem across layers of cellular and molecular heterogeneity. The most consistent change was a lower malignant cell fraction at recurrence and a reciprocal increase in glial and neuronal cell types in the tumor microenvironment (TME). The predominant malignant cell state differed between most matched pairs, but no states were exclusive or highly enriched in either time point, nor was there …

Prospective Clinical Trials Of Venetoclax And Hypomethylating Agents For Relapsed Bpdcn, Naveen Pemmaraju, Luan Hai Phan, Geoffrey Fell, Marlise R Luskin, Mahesh Swaminathan, Sherry Pierce, Courtney Dinardo, Abhishek Maiti, Marina Konopleva, Andrew A Lane

Faculty, Staff and Student Publications

No abstract provided.

Further Delineation Of The Scaf4-Associated Neurodevelopmental Disorder, Cosima M Schmid, Anne Gregor, Anna Ruiz, Carmen Manso Bazús, Isabella Herman, Farah Ammouri, Urania Kotzaeridou, Vanda Mcniven, Lucie Dupuis, Katharina Steindl, Anaïs Begemann, Anita Rauch, Aude-Annick Suter, Bertrand Isidor, Sandra Mercier, Mathilde Nizon, Benjamin Cogné, Wallid Deb, Thomas Besnard, Tobias B Haack, Ruth J Falb, Amelie J Müller, Tobias Linden, Chad R Haldeman-Englert, Charlotte W Ockeloen, Francesca Mattioli, Alexandre Reymond, Nazia Ibrahim, Shagufta Naz, Elodie Lacaze, Jennifer A Bassetti, Julia Hoefele, Theresa Brunet, Korbinian M Riedhammer, Houda Z Elloumi, Richard Person, Fanggeng Zou, Juliette J Kahle, Kirsten Cremer, Axel Schmidt, Marie-Ange Delrue, Pedro M Almeida, Fabiana Ramos, Siddharth Srivastava, Aisling Quinlan, Stephen Robertson, Eva Manka, Alma Kuechler, Stephanie Spranger, Malgorzata J M Nowaczyk, Reem M Elshafie, Hind Alsharhan, Paul R Hillman, Leslie A Dunnington, Hilde M H Braakman, Shane Mckee, Angelica Moresco, Andrea-Diana Ignat, Ruth Newbury-Ecob, Guillaume Banneau, Olivier Patat, Jeffrey Kuerbitz, Susan Rzucidlo, Susan S Sell, Patricia Gordon, Sarah Schuhmann, André Reis, Yosra Halleb, Radka Stoeva, Boris Keren, Zainab Al Masseri, Zeynep Tümer, Sophia Hammer-Hansen, Sofus Krüger Sølyst, Connolly G Steigerwald, Nicolas J Abreu, Helene Faust, Amica Müller-Nedebock, Frédéric Tran Mau-Them, Heinrich Sticht, Christiane Zweier

Faculty, Staff and Student Publications

While mostly de novo truncating variants in SCAF4 were recently identified in 18 individuals with variable neurodevelopmental phenotypes, knowledge on the molecular and clinical spectrum is still limited. We assembled data on 50 novel individuals with SCAF4 variants ascertained via GeneMatcher and personal communication. With detailed evaluation of clinical data, in silico predictions and structural modeling, we further characterized the molecular and clinical spectrum of the autosomal dominant SCAF4-associated neurodevelopmental disorder. The molecular spectrum comprises 25 truncating, eight splice-site and five missense variants. While all other truncating variants were classified as pathogenic/likely pathogenic, significance of one C-terminal truncating variant, one …

Todo: A Triple-Outcome Double-Criterion Optimal Design For Dose Monitoring-And-Optimization In Multi-Dose Randomized Trials, Jingyi Zhang, Heng Zhou, Nolan A Wages, Zifang Guo, Fang Liu, Thomas Jemielita, Fangrong Yan, Ruitao Lin

Faculty, Staff and Student Publications

Detecting the efficacy signal and determining the optimal dose are critical steps to increase the probability of success and expedite the drug development in cancer treatment. After identifying a safe dose range through phase I studies, conducting a multidose randomized trial becomes an effective approach to achieve this objective. However, there have been limited formal statistical designs for such multidose trials, and dose selection in practice is often ad hoc, relying on descriptive statistics. We propose a Bayesian optimal two-stage design to facilitate rigorous dose monitoring and optimization. Utilizing a flexible Bayesian dynamic linear model for the dose-response relationship, we …

Gene Promoters Are Genomically Encoded To Facilitate Histone Exchange/Incorporation, Blaine Bartholomew

Faculty, Staff and Student Publications

Gene promoters are intrinsically hardwired not only to facilitate transcription preinitiation complex formation but also the release of paused RNA polymerase by H2A.Z. A new PLOS Biology study reveals poly (dA) tracts at promoters positively stimulate H2A.Z incorporation by the SWR complex in yeast.

Diroximel Fumarate Acts Through Nrf2 To Attenuate Methylglyoxal-Induced Nociception In Mice And Decrease Isr Activation In Drg Neurons, Muhammad Saad Yousuf, Marisol Mancilla Moreno, Brodie J Woodall, Vikram Thakur, Jiahe Li, Lucy He, Rohita Arjarapu, Danielle Royer, Jennifer Zhang, Munmun Chattopadhyay, Peter M Grace, Theodore J Price

Faculty, Staff and Student Publications

Diabetic neuropathic pain is associated with elevated plasma levels of methylglyoxal (MGO). MGO is a metabolite of glycolysis that causes pain hypersensitivity in mice by stimulating the phosphorylation of eukaryotic initiation factor 2α (p-eIF2α) and subsequently activating the integrated stress response (ISR). We first established that Zucker diabetic fatty rats have enhanced MGO signaling, engage ISR, and develop pain hypersensitivity. Since nuclear factor erythroid 2-related factor 2 (Nrf2) regulates the expression of antioxidant proteins that neutralize MGO, we hypothesized that fumarates, like diroximel fumarate (DRF), will stimulate Nrf2 signaling, and prevent MGO-induced ISR and pain hypersensitivity. DRF (100 mg/kg) treated …

Igtp: Learning Interpretable Cellular Embedding For Inferring Biological Mechanisms Underlying Single-Cell Transcriptomics, Kang-Lin Hsieh, Kai Zhang, Yan Chu, Lishan Yu, Xiaoyang Li, Nuo Hu, Isha Kawosa, Patrick G Pilié, Pratip K Bhattacharya, Degui Zhi, Xiaoqian Jiang, Zhongming Zhao, Yulin Dai

Faculty, Staff and Student Publications

Deep-learning models like Variational AutoEncoder have enabled low dimensional cellular embedding representation for large-scale single-cell transcriptomes and shown great flexibility in downstream tasks. However, biologically meaningful latent space is usually missing if no specific structure is designed. Here, we engineered a novel interpretable generative transcriptional program (iGTP) framework that could model the importance of transcriptional program (TP) space and protein-protein interactions (PPI) between different biological states. We demonstrated the performance of iGTP in a diverse biological context using gene ontology, canonical pathway, and different PPI curation. iGTP not only elucidated the ground truth of cellular responses but also surpassed other …

Glutamate Gating Of Ampa-Subtype Iglurs At Physiological Temperatures, Anish Kumar Mondal, Elisa Carrillo, Vasanthi Jayaraman, Edward C Twomey

Faculty, Staff and Student Publications

Ionotropic glutamate receptors (iGluRs) are tetrameric ligand-gated ion channels that mediate most excitatory neurotransmission1. iGluRs are gated by glutamate, where on glutamate binding, they open their ion channels to enable cation influx into postsynaptic neurons, initiating signal transduction1,2. The structural mechanics of how glutamate gating occurs in full-length iGluRs is not well understood. Here, using the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid subtype iGluR (AMPAR), we identify the glutamate-gating mechanism. AMPAR activation by glutamate is augmented at physiological temperatures. By preparing AMPARs for cryogenic-electron microscopy at these temperatures, we captured the glutamate-gating mechanism. Activation by glutamate initiates ion channel opening that involves all ion …

Sustained Improvement In Health-Related Quality Of Life In Transplant-Ineligible Newly Diagnosed Multiple Myeloma Treated With Daratumumab, Lenalidomide, And Dexamethasone: Maia Final Analysis Of Patient-Reported Outcomes, Aurore Perrot, Thierry Facon, Torben Plesner, Saad Z Usmani, Shaji Kumar, Nizar J Bahlis, Cyrille Hulin, Robert Z Orlowski, Hareth Nahi, Peter Mollee, Karthik Ramasamy, Murielle Roussel, Arnaud Jaccard, Michel Delforge, Lionel Karlin, Bertrand Arnulf, Ajai Chari, George Wang, Niodita Gupta-Werner, Shuchita Kaila, Huiling Pei, Kathryn Matt, Katharine S Gries, Robin Carson, Fredrik Borgsten, Katja Weisel

Faculty, Staff and Student Publications

Objectives: This final post hoc analysis evaluated patient-reported outcomes from the Phase 3 MAIA study of daratumumab, lenalidomide, and dexamethasone (D-Rd) versus lenalidomide and dexamethasone (Rd) after median 64.5-month follow-up in transplant-ineligible patients with newly diagnosed multiple myeloma (NDMM), including patient subgroups.

Methods: Key scales from the EORTC QLQ-C30 (global health status [GHS], physical functioning, pain, and fatigue) were assessed. Scores were evaluated every 3 months for 1 year, then every 6 months until disease progression.

Results: The intent-to-treat population (n = 737) included 46.3% frail, 35.4% 70 to < 75 years old, and 43.6% ≥ 75 years old. D-Rd-treated patients showed improvements from baseline that were sustained over 5 years in the intent-to-treat population and across subgroups by age, frailty, and bone lesions. Greater proportions of patients treated with D-Rd versus Rd achieved minimally important changes for improvement at cycle 36 (year ~3) in GHS (odds ratio, 1.84 [95% CI, 1.16-2.91]), physical functioning (1.93 [1.18-3.14]), pain (1.41 [0.90-2.22]), and fatigue (2.00 [1.24-3.23]). Greater proportions of patients with bone lesions improved with D-Rd versus Rd on GHS and physical functioning.

Conclusions: In transplant-ineligible patients with NDMM, D-Rd improved health-related quality of …

T2-Weighted Imaging Of Rectal Cancer Using A 3d Fast Spin Echo Sequence With And Without Deep Learning Reconstruction: A Reader Study, Dan Nguyen, Sarah Palmquist, Ken-Pin Hwang, Jingfei Ma, Usama Salem, Jia Sun, Xinzeng Wang, Jong Bum Son, Randy Ernst, Peng Wei, Harmeet Kaur, Nir Stanietzky

Faculty, Staff and Student Publications

Purpose: To compare image quality and clinical utility of a T2-weighted (T2W) 3-dimensional (3D) fast spin echo (FSE) sequence using deep learning reconstruction (DLR) versus conventional reconstruction for rectal magnetic resonance imaging (MRI).

Methods: The study included 50 patients with rectal cancer who underwent rectal MRI consecutively between July 7, 2020 and January 20, 2021 using a T2W 3D FSE sequence with DLR and conventional reconstruction. Three radiologists reviewed the two sets of images, scoring overall SNR, motion artifacts, and overall image quality on a 3-point scale and indicating clinical preference for DLR or conventional reconstruction based on those three …

Multiparametric Mri Scoring System Of The Pancreas For The Diagnosis Of Chronic Pancreatitis, Temel Tirkes, Dhiraj Yadav, Darwin L Conwell, Xuandong Zhao, Anil K Dasyam, Vivek Gowdra Halappa, Aashish Patel, Zarine K Shah, Jordan Swensson, Naoki Takahashi, Sudhakar Venkatesh, Ashley Wachsman, Liang Li, Kristofer Jennings, Yunlong Yang, Phil A Hart, Stephen J Pandol, Walter G Park, Santhi Swaroop Vege, Mark Topazian, Paul R Territo, Scott A Persohn, Dana K Andersen, Evan L Fogel, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Background: Ductal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).

Purpose: Diagnose CP based on multiparametric MRI and MRCP features.

Study type: Prospective.

Population: Between February 2019 and May 2021, 46 control (23 males, 49.3 ± 14.1 years), 45 suspected (20 males, 48.7 ± 12.5 years), and 46 definite (20 males, 53.7 ± 14.6 years) CP patients were enrolled at seven hospitals enrolled in the MINIMAP study. CP classification was based on imaging findings and clinical presentation.

Field strength and sequences: 1.5 T. T1-weighted (T1W) spoiled gradient echo, T1 map with …

Quantitative Ablation Confirmation Methods In Percutaneous Thermal Ablation Of Malignant Liver Tumors: Technical Insights, Clinical Evidence, And Future Outlook, Iwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, Alexander Shieh, Anna Maria Ierardi, Gianpaolo Caraffiello, Carlo Gazzera, Kyle A Jones, Paolo Fonio, Reto Bale, Kristy K Brock, Marco Calandri, Bruno C Odisio

Faculty, Staff and Student Publications

Percutaneous image-guided thermal ablation is an established local curative-intent treatment technique for the treatment of primary and secondary malignant liver tumors. Whereas margin assessment after surgical resection can be accomplished with microscopic examination of the resected specimen, margin assessment after percutaneous thermal ablation relies on cross-sectional imaging. The critical measure of technical success is the minimal ablative margin (MAM), defined as the minimum distance between the tumor and the edge of the ablation zone. Traditionally, the MAM has been assessed qualitatively using anatomic landmarks, which has suboptimal accuracy and reproducibility and is prone to operator bias. Consequently, specialized software-based methods …

Imaging In Pelvic Exenteration-A Multidisciplinary Practice Guide From The Esgar-Sar-Esur-Pelvex Collaborative Group, Stephanie Nougaret, Doenja M J Lambregts, Geerard L Beets, Regina G H Beets-Tan, Lennart Blomqvist, David Burling, Quentin Denost, Maria A Gambacorta, Benedetta Gui, Ann Klopp, Yulia Lakhman, Kate E Maturen, Riccardo Manfredi, Iva Petkovska, Luca Russo, Atul B Shinagare, James A Stephenson, Damian Tolan, Aradhana M Venkatesan, Aaron J Quyn, Rosemarie Forstner

Faculty, Staff and Student Publications

Pelvic exenteration (PE) is a radical surgical approach designed for the curative treatment of advanced pelvic malignancies, requiring en-bloc resection of multiple pelvic organs. While the procedure is radical, it has shown promise in enhancing long-term survival and is now comparable in surgical mortality to elective resections for primary pelvic cancers. Imaging plays a crucial role in preoperative planning, with MRI, CT, and PET/CT being pivotal in assessing the extent of cancer and formulating a surgical roadmap. This paper presents clinical practice guidelines for imaging in the context of PE, developed jointly by ESGAR, SAR, ESUR, and the PelvEx Collaborative. …

In Vivo Assessment Of Cardiac Radiofrequency Ablation In A Large-Animal Model Using Photoacoustic-Ultrasound Imaging, Nilesh Mathuria, Krithik Vishwanath, Blake C Fallon, Antonio Martino, Giorgio Brero, Richard C Willson, Miguel Valderrabano, Carly S Filgueira, Richard R Bouchard

Faculty, Staff and Student Publications

Despite advancements in catheter technology, intraoperative assessment of radiofrequency ablation (RFA) lesions remains elusive. Prior ex vivo data suggest photoacoustic imaging (PAI) can provide RFA lesion characteristics, but in vivo data are lacking. PAI involves delivering near-infrared light to tissue, leading to transient acoustic waves that can be detected by clinically available ultrasound transducers, providing optically based tissue characterization at depth. Three epicardial RFA lesions were delivered in an open-chest porcine model. In vivo PAI-based measurements of RFA lesion dimensions matched (< 0.7-mm error) gross pathologic assessment, yielding in vivo feasibility data of PAI to provide intraoperative RFA lesion dimensions.

Quantifying Photon Counting Detector (Pcd) Performance Using Pcd-Ct Images, Linying Zhan, Guang-Hong Chen, Ke Li

Faculty, Staff and Student Publications

Background: Photon counting detector CTs (PCD-CTs) have recently been introduced to clinical imaging. This development creates a new need for end-users to quantify and monitor the physical performance of PCDs. Traditionally, the characterization of PCD performance relied on detector counts, which are typically accessible to the manufacturer but are not usually available to clinical end-users.

Purpose: The goal of this work was to develop a new method for quantifying PCD performance using reconstructed PCD-CT images, without requiring access to the PCD counts.

Methods: The proposed method is based on a set of closed-form relationships that connect PCD-CT image noise, the …

Temporal Trends Of Subsequent Central Nervous System Malignancies Among Survivors Of Childhood Cancer, Robert T Galvin, Yan Chen, Yan Yuan, Tabitha Cooney, Rebecca Howell, Susan Smith, Michael A Arnold, Miriam Conces, Wendy Leisenring, Gregory T Armstrong, Joseph P Neglia, Lucie M Turcotte

Faculty, Staff and Student Publications

Background: It is not known whether temporal changes in childhood cancer therapy have reduced risk of subsequent malignant neoplasms of the central nervous system (CNS), a frequently fatal late effect of cancer therapy.

Methods: Five-year survivors of primary childhood cancers diagnosed between 1970 and 1999 in the Childhood Cancer Survivor Study with CNS subsequent malignant neoplasms were identified. Cumulative incidence rates and standardized incidence ratios were compared among survivors diagnosed between 1970-1979 (n = 6223), 1980-1989 (n = 9680), and 1990-1999 (n = 8999). Multivariable models assessed risk factors for CNS subsequent malignant neoplasms.

Results: A total of 157 CNS …

Precision Proteogenomics Reveals Pan-Cancer Impact Of Germline Variants, Fernanda Martins Rodrigues, Nadezhda V Terekhanova, Kathleen J Imbach, Karl R Clauser, Myvizhi Esai Selvan, Isabel Mendizabal, Yifat Geffen, Yo Akiyama, Myranda Maynard, Tomer M Yaron, Yize Li, Song Cao, Erik P Storrs, Olivia S Gonda, Adrian Gaite-Reguero, Akshay Govindan, Emily A Kawaler, Matthew A Wyczalkowski, Robert J Klein, Berk Turhan, Karsten Krug, D R Mani, Felipe Da Veiga Leprevost, Alexey I Nesvizhskii, Steven A Carr, David Fenyö, Michael A Gillette, Antonio Colaprico, Antonio Iavarone, Ana I Robles, Kuan-Lin Huang, Chandan Kumar-Sinha, François Aguet, Alexander J Lazar, Lewis C Cantley, Urko M Marigorta, Zeynep H Gümüş, Matthew H Bailey, Gad Getz, Eduard Porta-Pardo, Li Ding

Faculty, Staff and Student Publications

We investigate the impact of germline variants on cancer patients' proteomes, encompassing 1,064 individuals across 10 cancer types. We introduced an approach, "precision peptidomics," mapping 337,469 coding germline variants onto peptides from patients' mass spectrometry data, revealing their potential impact on post-translational modifications, protein stability, allele-specific expression, and protein structure by leveraging the relevant protein databases. We identified rare pathogenic and common germline variants in cancer genes potentially affecting proteomic features, including variants altering protein abundance and structure and variants in kinases (ERBB2 and MAP2K2) impacting phosphorylation. Precision peptidome analysis predicted destabilizing events in signal-regulatory protein alpha (SIRPA) and glial …

Prevalence And Patterns Of Opioid Use In Chronic Pancreatitis, Anna Evans Phillips, Darwin L Conwell, Shuang Li, Jami L Saloman, Phil A Hart, Evan L Fogel, Santhi Swaroop Vege, Dana K Andersen, William E Fisher, Christopher E Forsmark, Stephen Pandol, Walter G Park, Mark D Topazian, Stephen K Van Den Eeden, Jose Serrano, Liang Li, Dhiraj Yadav

Faculty, Staff and Student Publications

Introduction: Opioids are used to treat pain in chronic pancreatitis (CP), but little is known about current use patterns. The aim of this study was to characterize the utilization of opioids and associations with clinical characteristics in adult patients with CP.

Methods: This cross-sectional analysis used baseline data from participants with definite CP enrolled in a cohort study in the United States (PROspective Evaluation of CP for EpidEmiologic and Translational StuDies). Data on demographics, pain medication use, healthcare utilization, disability, and pain patterns were systematically collected in case report forms while quality of life was assessed with patient-reported outcome instruments. …

Chemotherapy-Free Treatment With Radiotherapy And Immunotherapy For Locally Advanced Non-Small Cell Lung Cancer, M Zeeshan Ozair, Balazs Halmos, Angelica D'Aiello, Jaewon Yun, Andrea R Filippi, Andreas Rimner, Steven H Lin, Charles B Simone, Nitin Ohri

Faculty, Staff and Student Publications

Background: Concurrent chemoradiotherapy (CRT) followed by immunotherapy is a standard treatment for locally advanced non-small cell lung cancer (LA-NSCLC), yet many patients are ineligible due to treatment-related toxicity or poor functional status. Chemotherapy-free approaches using radiotherapy (RT) and immunotherapy may offer a safer and equally effective alternative in select patient populations.

Methods: A comprehensive literature review was conducted using PubMed, Google Scholar, and relevant conference proceedings focusing on trials between 2000 and 2024. Studies investigating chemotherapy-free regimens combining RT and immunotherapy in LA-NSCLC were analyzed, with emphasis on clinical outcomes, biomarker use, treatment sequencing, radiation dose/fractionation, and safety.

Results: Multiple …

Neurotransmitter Power Plays: The Synaptic Communication Nexus Shaping Brain Cancer, Jayanta Mondal, Jason T Huse

Faculty, Staff and Student Publications

Gliomas and brain metastases are notorious for their dismal prognosis and low survival rates, a challenge exacerbated by our incomplete grasp of the complex dynamics that govern brain cancers. Recently, a groundbreaking paradigm shift has emerged, highlighting the crucial role of synaptic communication between neurons and brain tumor cells in reshaping neuronal signaling to favor tumor growth. This review delves into the pivotal interplay of synaptic mechanisms, focusing on excitatory glutamatergic and inhibitory GABAergic pathways. Glutamatergic synapses utilize glutamate to propagate excitatory signals, while GABAergic synapses employ gamma-aminobutyric acid (GABA) to inhibit neuronal firing. Glutamatergic signaling can be broadly classified …

Use Of Natural Language Processing To Identify Patients With Inflammatory Breast Cancer Across A Health-Care System, Ramez Kouzy, Megumi Kai, Huong T Le-Petross, Sadia Saleem, Wendy A Woodward

Faculty, Staff and Student Publications

Early identification and referral of inflammatory breast cancer remains challenging within large health-care systems, limiting access to specialized care. We developed and evaluated an artificial intelligence-driven platform integrating natural language processing (NLP) with electronic health records to systematically identify potential inflammatory breast cancer patients across 5 campuses. Our platform analyzed 8 623 494 clinical notes, implementing a sequential review process: NLP screening followed by human validation and multidisciplinary confirmation. Initial NLP screening achieved 55.4% positive predictive value, improving to 78.4% with human-in-the-loop review. Notably, among 255 confirmed patients with inflammatory breast cancer, our system demonstrated 92.2% sensitivity, identifying 57 patients …

Bilateral Germ Cell Tumor Of The Testis: Biological And Clinical Implications For A Stem Versus Genetic Origin Of Cancers, Jamaal C Jackson, Darren Sanchez, Aron Y Joon, Marcos R Estecio, Andrew C Johns, Amishi Y Shah, Matthew Campbell, John F Ward, Louis L Pisters, Charles C Guo, Miao Zhang, Niki M Zacharias, Shi-Ming Tu

Faculty, Staff and Student Publications

Germ cell tumors of the testis (GCTs) provide an ideal tumor model to investigate the cellular versus genetic origin of cancers. In this single institutional study, we evaluated 38 patients with bilateral GCT, including tumors that occurred simultaneously (synchronous) and those occurring at different times (metachronous). For nine of these patients, DNA was isolated from the right and left GCT to determine the genomic and epigenetic differences between tissues using whole-exome sequencing (WES) and reduced representation bisulfite sequencing (RRBS). We found that seminomas and non-seminomas are molecularly distinct based on DNA methylation and not due to synchronous or metachronous disease. …

Cognitive Outcomes In Prostate Cancer Treatment: Insights From The Odenza Trial And Future Considerations, Bryan J Neth, Jeffrey S Wefel, Kevin T Nead

Faculty, Staff and Student Publications

No abstract provided.

Trends In Medicare Payments Within The First Year Of Cervical Cancer Diagnosis, 2010–2019, Mohammad A Karim, Ning Zhang, Hui Zhao, Ya-Chen Tina Shih, Lakshmi S M Kodali, Sharon H Giordano, Sanjay Shete

Faculty, Staff and Student Publications

Assessing Medicare payment trends for cervical cancer care is important to mitigate the financial impact on Medicare. This multiyear cross-sectional study included 65 years and older cervical cancer patients in SEER registries diagnosed between 2010 and 2019 who had continuous Part A and B Medicare coverage at least 6 months before diagnosis and at least within the first year of diagnosis and were not enrolled in any Health Maintenance Organization (HMO) in this duration. The main outcomes were trends in total and service-specific mean monthly Medicare payments within the first year of a cervical cancer diagnosis. This study included 2147 …

Network-Based Clustering Unveils Interconnected Landscapes Of Genomic And Clinical Features Across Myeloid Malignancies, Fritz Bayer, Marco Roncador, Giusi Moffa, Kiyomi Morita, Koichi Takahashi, Niko Beerenwinkel, Jack Kuipers

Faculty, Staff and Student Publications

Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes. We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups. A key strength is its ability to include presumed causal directions in the edges linking clinical and mutational features, and account for them aptly in the clustering. In a cohort of 1323 patients, we identify subgroups that outperform established risk classifications in prognostic accuracy. Our approach generalises well to unseen cohorts with classification based on our subgroups similarly offering advantages in …

The Effects Of Prescribed Medications On Depressive Symptoms And Neurocognitive Performance In People With Hiv, Asante R Kamkwalala, Avery Matthews, Ankita Garg, Upal Roy, Qing Ma, Maile Karris, Erin Sundermann, Ronald J Ellis, Patricia K Riggs, Mattia Trunfio, Jennifer Blanchard, David J Moore, Leah H Rubin, Scott L Letendre

Faculty, Staff and Student Publications

Background: Alterations in brain function and structure, such as depression and neurocognitive impairment, continue to occur in people with human immunodeficiency virus (HIV, PWH) taking suppressive antiretroviral therapy (ART). The lifespan of PWH has improved but the healthspan remains worse than people without HIV, in part because of aging-related diseases. As a result, polypharmacy is common and increases the risk of drug-drug interactions and adverse reactions.

Methods: This cross-sectional project investigated the relationship between 7 medication-related metrics (including anticholinergic burden), depressive symptoms, and neurocognitive performance in 491 PWH at a single center in the United States. All participants were taking …

Lung Cancer Risk Prediction In Patients With Persistent Pulmonary Nodules Using The Brock Model And Sybil Model, Hui Li, Morteza Salehjahromi, Myrna C B Godoy, Kang Qin, Courtney M Plummer, Zheng Zhang, Lingzhi Hong, Simon Heeke, Xiuning Le, Natalie Vokes, Bingnan Zhang, Haniel A Araujo, Mehmet Altan, Carol C Wu, Mara B Antonoff, Edwin J Ostrin, Don L Gibbons, John V Heymach, J Jack Lee, David E Gerber, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Background/objectives: Persistent pulmonary nodules are at higher risk of developing into lung cancers. Assessing their future cancer risk is essential for successful interception. We evaluated the performance of two risk prediction models for persistent nodules in hospital-based cohorts: the Brock model, based on clinical and radiological characteristics, and the Sybil model, a novel deep learning model for lung cancer risk prediction.

Methods: Patients with persistent pulmonary nodules-defined as nodules detected on at least two computed tomography (CT) scans, three months apart, without evidence of shrinkage-were included in the retrospective (n = 130) and prospective (n = 301) cohorts. …

Enhanced And Interpretable Prediction Of Multiple Cancer Types Using A Stacking Ensemble Approach With Shap Analysis, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Cancer is a leading cause of death worldwide, and its early detection is crucial for improving patient outcomes. This study aimed to develop and evaluate ensemble learning models, specifically stacking, for the accurate prediction of lung, breast, and cervical cancers using lifestyle and clinical data.

Methods: 12 base learners were trained on datasets for lung, breast, and cervical cancer. Stacking ensemble models were then developed using these base learners. The models were evaluated for accuracy, precision, recall, F1-score, AUC-ROC, MCC, and kappa. An explainable AI technique, SHAP, was used to interpret model predictions.

Results: The stacking …