Medicine and Health Sciences Commons^™

Vaccination Schedules Recommended By The Centers For Disease Control And Prevention: From Human-Readable To Machine-Processable, Xia Jing, Hua Min, Yang Gong, Mytchell A Ernst, Aneesa Weaver, Chloe Crozier, David Robinson, Dean F Sittig, Paul G Biondich, Samuil Orlioglu, Akash Shanmugan Boobalan, Kojo Abanyie, Richard D Boyce, Adam Wright, Christian Nøhr, Timothy D Law, Arild Faxvaag, Lior Rennert, Ronald W Gimbel

Faculty, Staff and Student Publications

Background: Reusable, machine-processable clinical decision support system (CDSS) rules have not been widely achieved in the medical informatics field. This study introduces the process, results, challenges faced, and lessons learned while converting the United States of America Centers for Disease Control and Prevention (CDC)-recommended immunization schedules (2022) to machine-processable CDSS rules.

Methods: We converted the vaccination schedules into tabular, charts, MS Excel, and clinical quality language (CQL) formats. The CQL format can be automatically converted to a machine-processable format using existing tools. Therefore, it was regarded as a machine-processable format. The results were reviewed, verified, and tested.

Results: We have …

Can The Discovery Of High-Impact Diagnostics Be Improved By Matching The Sampling Rate Of Clinical Diagnostics To The Frequency Domain Of Diagnostic Information?, Steven W Millward, Peng Wei, David Piwnica-Worms, Seth T Gammon

Faculty, Staff and Student Publications

Over the past 30 years, academic and industrial research investigators have developed molecular reporters to visualize cell death in complex biological systems. In parallel, clinical researchers, chemists, biochemists, and molecular biologists have endeavored to translate these molecular tools into clinical imaging agents. Despite these efforts, there are no clinically approved imaging methodologies with which to image cell death consistently and quantitatively. One reason may reside in the intrinsic mismatch between the sampling frequency of translational molecular imaging and the biochemical kinetics that define cell death. Beyond cell death imaging, many active research programs are now attempting to create translational diagnostic …

Swi/Snf Complex-Mediated Znf410 Cooperative Binding Maintains Chromatin Accessibility And Enhancer Activity, Siyuan Xu, Chuxuan Peng, Ren Ren, Haowen Lu, Han Zhao, Sijian Xia, Yijie Shen, Bin Xu, Haoyue Zhang, Xiaodong Cheng, Gerd A Blobel, Xianjiang Lan

Faculty, Staff and Student Publications

The clustering of multiple transcription factor binding sites (TFBSs) for the same TF has proved to be a pervasive feature of cis-regulatory elements in the eukaryotic genome. However, the contribution of binding sites within the homotypic clusters of TFBSs (HCTs) to TF binding and target gene expression remains to be understood. Here, we characterize the CHD4 enhancers that harbor unique functional ZNF410 HCTs genome wide. We uncover that ZNF410 controls chromatin accessibility and activity of the CHD4 enhancer regions. We demonstrate that ZNF410 binds to the HCTs in a collaborative fashion, further conferring transcriptional activation. In particular, three ZNF410 motifs …

Rnase1-Driven Alk-Activation Is An Oncogenic Driver And Therapeutic Target In Non-Small Cell Lung Cancer, Zhengyu Zha, Chunxiao Liu, Meisi Yan, Cong Chen, Cheng Yu, Yaohui Chen, Chenhao Zhou, Lu Li, Yi-Chuan Li, Hiro Yamaguchi, Leiguang Ye, Tong Liu, Ying-Nai Wang, Heng-Huan Lee, Wen-Hao Yang, Li-Chuan Chan, Baozhen Ke, Jennifer L Hsu, Lieming Ding, Dong Ji, Peng Pan, Yiran Meng, Yue Pu, Lunxu Liu, Mien-Chie Hung

Faculty, Staff and Student Publications

Targeted therapy has achieved significant success in the treatment of non-small cell lung cancer (NSCLC), particularly in patients harboring common oncogenic driver mutations such as EGFR, KRAS, and ALK rearrangement. However, ~35-50% of NSCLC patients without tyrosine kinase mutation or rearrangement (non-mutated) cannot benefit from these targeted treatments, highlighting the urgent need for novel therapeutic strategies for this patient population. In this study, we report a non-canonical role of human secretory ribonuclease 1 (RNase1), which binds to and activates wild-type ALK in lung cancer cells, thereby triggering its downstream signaling pathway. RNase1-driven ALK-activation (RDAA) cells exhibit enhanced cell proliferation, migration, …

Association Between B-Cell Marker Expression And Runx1 Lesions In Acute Myeloid Leukemia, Beyond Runx1::Runx1t1 Fusion: Diagnostic Pitfalls With Mixed-Phenotype Acute Leukemia—B/Myeloid, Giby V George, Malgorzata Kajstura, Audrey N Jajosky, Hong Fang, Fatima Zahra Jelloul, Andrew G Evans, W Richard Burack, John M Bennett, L Jeffrey Medeiros, Wei Wang, Siba El Hussein

Faculty, Staff and Student Publications

Acute myeloid leukemia (AML) with RUNX1::RUNX1T1 fusion is well known to often demonstrate aberrant upregulation of CD19 expression. We studied the clinicopathologic and genetic features of 16 cases of AML with various RUNX1 lesions, including mutations, copy number gains, and translocations other than fusions with RUNX1T1. Most of these cases were classified as AML-myelodysplasia-related or AML-post-cytotoxic therapy based on the cytogenetic and molecular work-up. These neoplasms showed partial expression of one or more B-cell antigens by flow cytometry and/or immunohistochemistry, fulfilling the criteria for mixed-phenotype acute leukemia (MPAL)-B/myeloid (i.e., ≥20% blasts expressing B and myeloid lineage antigens) …

Enriched Pathways In Gut Microbiome Predict Response To Immune Checkpoint Inhibitor Treatment Across Demographic Regions And Various Cancer Types, Xunhui Cai, Jennifer Y Cho, Lijun Chen, Yufeng Liu, Fenghu Ji, Katia Salgado, Siyi Ge, Dehua Yang, Hui Yu, Jianbo Shao, P Andrew Futreal, Boris Sepesi, Don Gibbons, Yaobing Chen, Guoping Wang, Chao Cheng, Meng Wu, Jianjun Zhang, Ansel Hsiao, Tian Xia

Faculty, Staff and Student Publications

Understanding the effect of gut microbiota function on immune checkpoint inhibitor (ICI) responses is urgently needed. Here, we integrated 821 fecal metagenomes from 12 datasets to identify differentially abundant genes and construct random forest models to predict ICI response. Gene markers demonstrated excellent predictive performance, with an average area under the curve (AUC) of 0.810. Pathway analyses revealed that quorum sensing (QS), ABC transporters, flagellar assembly, and amino acid biosynthesis pathways were enriched between responders (R) and non-responders (NRs) across 12 datasets. Furthermore,

Kras Mutation Detection By Liquid Biopsy For Pancreatic Ductal Adenocarcinoma, Mahmoud Yousef, Abdelrahman Yousef, Mark W Hurd, Ashwathy Pillai, Saikat Chowdhury, Rebecca Snyder, Mark Knafl, Ryan L Lewis, Paul M Roy, Mohammad Fanaeian, Sali Albarouki, Luca F Castelnovo, Jennifer Peterson, Brandon G Smaglo, Robert A Wolff, Shubham Pant, Jason Willis, Ryan Huey, Michael Overman, Ching-Wei Tzeng, Michael P Kim, Naruhiko Ikoma, Jess E Maxwell, Matthew H G Katz, Huamin Wang, Anirban Maitra, Eugene Koay, Ethan B Ludmir, Anthony Chen, Camila Lopez, Haoqiang Ying, John Paul Shen, Dan Zhao

Faculty, Staff and Student Publications

The clinical utility of liquid biopsy (LB) for pancreatic ductal adenocarcinoma (PDAC) remain understudied. Our single-institution cohort of 311 PDAC patients with non-tumor tissues informed LB found 81.2% positivity (N = 186) in metastatic cases and in 52.4% (N = 43) of localized disease. KRAS mutations were detected in 64.6% (N = 148) of metastatic cases and 16% (N = 13) for localized disease. Positive LB, especially KRAS mutation detection, is associated with worse overall survival (OS) in metastatic PDAC (median 14.5 vs. 31.3 months, HR = 2.7, 95%CI = 1.7-4.3, P <  0.0001). The positive concordance rates of KRAS and TP53 mutations were 63% and 68% in metastatic disease but only 7% (KRAS) and 33% (TP53) in localized disease, respectively. Among the 41 patients who underwent serial liquid biopsy testing, 25% tested positive after an initial negative result. LB detects therapeutically targetable mutations in 58.5% of PDAC patients and is associated with OS.

Multimeric Transcription Factor Bcl11a Utilizes Two Zinc-Finger Tandem Arrays To Bind Clustered Short Sequence Motifs, John R Horton, Meigen Yu, Jujun Zhou, Melody Tran, Rithvi R Anakal, Yue Lu, Robert M Blumenthal, Xiaotian Zhang, Yun Huang, Xing Zhang, Xiaodong Cheng

Faculty, Staff and Student Publications

BCL11A, a transcription factor, is vital for hematopoiesis, including B and T cell maturation and the fetal-to-adult hemoglobin switch. Mutations in BCL11A are linked to neurodevelopmental disorders. BCL11A contains two DNA-binding zinc-finger arrays, low-affinity ZF2-3 and high-affinity ZF4-6, separated by a 300-amino-acid linker. ZF2-3 and ZF4-5 share 73% identity, including five out of six DNA base-interacting residues. These arrays bind similar short sequence motifs in clusters, with the linker enabling a broader binding span. Crystallographic structures of ZF4-6, in complex with oligonucleotides from the β-globin locus region, reveal DNA sequence recognition by residues Asn756 (ZF4), Lys784 and Arg787 (ZF5). A …

Reduced Venetoclax Exposure To 7 Days Vs Standard Exposure With Hypomethylating Agents In Newly Diagnosed Aml Patients, Christophe Willekens, Alexandre Bazinet, Samy Chraibi, Alex Bataller, Justine Decroocq, Naszrin Arani, Benjamin Carpentier, Caitlin Rausch, Delphine Lebon, Abhishek Maiti, Nicolas Gauthier, Nicholas Short, Sarah Bonnet, Koji Sasaki, Sabine Khalife-Hachem, Mahesh Swaminathan, Jean-Baptiste Micol, Florence Pasquier, Christophe Marzac, Damien Roos-Weil, Laurent Pascal, Naval Daver, Tapan Kadia, Didier Bouscary, Farhad Ravandi, Arnaud Pages, Hagop Kantarjian, Stéphane De Botton, Courtney Dinardo

Faculty, Staff and Student Publications

Hypomethylating agent (HMA) plus venetoclax (VEN) regimens are standard of care in patients with acute myeloid leukemia (AML) ineligible for intensive chemotherapy. While the VEN label recommends continuous 28-day cycles, shortened VEN durations may induce similar response rates and improve tolerability. It is unknown how a VEN exposure reduced to 7 days during cycles compares to standard HMA + VEN. We retrospectively compared newly diagnosed AML patients treated with azacitidine (AZA) x 7 days plus VEN x 7 days ("7 + 7" regimen) from the first cycle (n = 82) vs patients treated with standard dose HMA + VEN (std-HMA/VEN) …

Humanized Saccharomyces Cerevisiae Provides A Facile And Effective Tool To Identify Damaging Human Variants That Cause Exosomopathies, Khondakar Sayef Ahammed, Milo B Fasken, Anita H Corbett, Ambro Van Hoof

Faculty, Staff and Student Publications

The RNA exosome is an evolutionarily conserved, multiprotein complex that is the major RNase in 3' processing and degradation of a wide range of RNAs in eukaryotes. Single amino acid changes in RNA exosome subunits cause rare genetic diseases collectively called exosomopathies. However, distinguishing disease-causing variants from nonpathogenic ones remains challenging, and the mechanism by which these variants cause disease is largely unknown. Previous studies have employed a budding yeast model of RNA exosome-linked diseases that relies on mutating the orthologous yeast genes. Here, we develop a humanized yeast model of exosomopathies that allows us to unambiguously assess damaging effects …

Deep Learning-Based Automatic Segmentation Of Cerebral Infarcts On Diffusion Mri, Wi-Sun Ryu, Dawid Schellingerhout, Jonghyeok Park, Jinyong Chung, Sang-Wuk Jeong, Dong-Seok Gwak, Beom Joon Kim, Joon-Tae Kim, Keun-Sik Hong, Kyung Bok Lee, Tai Hwan Park, Sang-Soon Park, Jong-Moo Park, Kyusik Kang, Yong-Jin Cho, Hong-Kyun Park, Byung-Chul Lee, Kyung-Ho Yu, Mi Sun Oh, Soo Joo Lee, Jae Guk Kim, Jae-Kwan Cha, Dae-Hyun Kim, Jun Lee, Man Seok Park, Dongmin Kim, Oh Young Bang, Eung Yeop Kim, Chul-Ho Sohn, Hosung Kim, Hee-Joon Bae, Dong-Eog Kim

Faculty, Staff and Student Publications

We explored effects of (1) training with various sample sizes of multi-site vs. single-site training data, (2) cross-site domain adaptation, and (3) data sources and features on the performance of algorithms segmenting cerebral infarcts on Magnetic Resonance Imaging (MRI). We used 10,820 annotated diffusion-weighted images (DWIs) from 10 university hospitals. Algorithms based on 3D U-net were trained using progressively larger subsamples (ranging from 217 to 8661), while internal testing employed a distinct set of 2159 DWIs. External validation was conducted using three unrelated datasets (n = 2777, 50, and 250). For domain adaptation, we utilized 50 to 1000 subsamples from …

Comprehensive Assessment Of Initial Adaptation Of Extended-Spectrum Β-Lactamase-Positive St131 Escherichia Coli To Carbapenem Exposure, William C Shropshire, Xinhao Song, Jordan Bremer, Seokju Seo, Susana Rodriguez, Selvalakshmi Selvaraj Anand, An Q Dinh, Micah M Bhatti, Anna Konovalova, Cesar A Arias, Awdhesh Kalia, Yousif Shamoo, Samuel A Shelburne

Faculty, Staff and Student Publications

Background: It remains unclear how high-risk Escherichia coli lineages, like sequence type (ST) 131, initially adapt to carbapenem exposure in their progression to carbapenem resistance.

Methods: Carbapenem mutation frequency was measured in multiple subclades of extended-spectrum β-lactamase (ESBL)-positive ST131 clinical isolates using a fluctuation assay followed by whole genome sequencing (WGS) characterization. Genomic, transcriptomic, and porin analyses of the ST131 C2/H30Rx isolate MB1860, under prolonged, increasing carbapenem exposure was performed using 2 experimental evolutionary platforms to measure fast versus slow adaptation.

Results: All 13 ESBL-positive ST131 strains selected from a diverse (n = 184) ST131 bacteremia cohort had detectable ertapenem …

Integrated Analysis Of Molecular And Clinical Features Associated With Overall Survival In Melanoma Patients With Brain Metastasis, Swaminathan Kumar, Meredith S Pelster, Merve Hasanov, Renato A Guerrieri, Courtney W Hudgens, Debora A Ledesma, Fuchenchu Wang, Grant M Fischer, Julie M Simon, Lauren E Haydu, Kalman V Katlowitz, Y N Vashisht Gopal, Jennifer L Mcquade, Lawrence N Kwong, Jason T Huse, Alexander J Lazar, Michael T Tetzlaff, Jeffrey E Gershenwald, Aron Y Joon, Ken Chen, Ziyi Li, Prahlad T Ram, Sherise D Ferguson, Michael A Davies

Faculty, Staff and Student Publications

Melanoma brain metastases (MBMs) are diagnosed in up to 60% of metastatic melanoma patients. Previous studies have identified clinical factors that correlate with overall survival (OS) after MBM diagnosis. However, molecular and immune features associated with OS are poorly understood. An improved understanding of the molecular and immune correlates of OS could provide insights into MBM patient outcomes and guide therapeutic development. Thus, we analyzed clinical features and outcomes of 74 melanoma patients who underwent surgical resection (via craniotomy) between 1991 and 2015 at our institution with RNA-seq data generated from their MBMs. The median post-operative OS was 8.6 months …

Single-Cell Analyses Reveal A Functionally Heterogeneous Exhausted Cd8+ T-Cell Subpopulation That Is Correlated With Response To Checkpoint Therapy In Melanoma, Kelly M Mahuron, Osmaan Shahid, Prachi Sao, Clinton Wu, Alexandra M Haugh, Laura A Huppert, Lauren S Levine, Margaret M Lowe, Michael Alvarado, Markee Micu, Katy K Tsai, Melissa Chow, Meromit Singer, Jason M Schenkel, Arlene H Sharpe, Michael D Rosenblum, Kristen E Pauken, Adil I Daud

Faculty, Staff and Student Publications

PD-1 pathway inhibitors have revolutionized cancer therapy. However, most patients do not durably benefit, highlighting the need for biomarkers to stratify patients as responders or nonresponders. Although CD8+ tumor-infiltrating lymphocytes (TIL) have been associated with immune checkpoint therapy response, there is no consensus on which CD8+ TIL subpopulations have the most prognostic value. Preclinical studies have focused on progenitor-like exhausted CD8+ T cells (TPEX) because TPEX proliferate more in response to PD-1 inhibitors than other exhausted T-cell (TEX) subpopulations. However, immune checkpoint inhibitor treatment drives TPEX differentiation into other TEX populations that can mediate antitumor immunity. These data complicate the …

Long-Read Single-Cell Rna Sequencing Enables The Study Of Cancer Subclone-Specific Genotypes And Phenotypes In Chronic Lymphocytic Leukemia, Gage S Black, Xiaomeng Huang, Yi Qiao, Philip Moos, Deepa Sampath, Deborah M Stephens, Jennifer A Woyach, Gabor T Marth

Faculty, Staff and Student Publications

Bruton tyrosine kinase (BTK) inhibitors are effective for the treatment of chronic lymphocytic leukemia (CLL) due to BTK's role in B cell survival and proliferation. Treatment resistance is most commonly caused by the emergence of the hallmark BTKC481S mutation that inhibits drug binding. In this study, we aimed to investigate cancer subclones harboring a BTKC481S mutation and identify cells with co-occurring CLL driver mutations. In addition, we sought to determine whether BTK-mutated subclones exhibit distinct transcriptomic behavior when compared to other cancer subclones. To achieve these goals, we use scBayes, which integrates bulk DNA sequencing and single-cell …

Results Of The Phase I/Ii Study And Preliminary B-Cell Gene Signature Of Combined Inhibition Of Glutamine Metabolism And Egfr In Colorectal Cancer, Kristen K Ciombor, Seong-Woo Bae, Jennifer G Whisenant, Gregory D Ayers, Quanhu Sheng, Todd E Peterson, Gary T Smith, Kangyu Lin, Saikat Chowdhury, Preeti Kanikarla Marie, Alexey Sorokin, Allison S Cohen, Laura W Goff, Dana B Cardin, John Paul Shen, Scott Kopetz, Cathy Eng, Yu Shyr, Jordan Berlin, H Charles Manning

Faculty, Staff and Student Publications

Purpose: EGFR-targeting mAbs are essential for managing rat sarcoma virus wild-type metastatic colorectal cancer (mCRC), but their limited efficacy necessitates exploring immunologic and metabolic factors influencing response. This study evaluated glutamine metabolism targeting with EGFR inhibition to identify response biomarkers in patients with prior anti-EGFR treatment progression.

Patients and methods: We conducted a phase I/II trial in patients with KRAS wild-type mCRC, combining panitumumab (6 mg/kg) and CB-839 (600 mg/kg or 800 mg/kg), hypothesizing that the dual inhibition of glutamine metabolism and MAPK signaling would enhance outcomes. As study correlatives, we investigated the B-cell activation signature "B-score" and glutamine PET …

Global And Regional Disparities In Access To Specialist Sarcoma Services, Tomas Zamora, Eduardo Botello, Thomas Jenkins, Charlotte Jeys, Minna Laitinen, Ajay Puri, Lee Jeys, Boom Consensus Meeting Participants, Santiago Abad Repiso, Hesham Abdelbary, Alejandro Abiad Mejia, Ahmed Abood, Juan C Abril Martin, Adesegun Abudu, Ayman Abu Elhamd, Marthelena Acosta, Keisuke Ae, Manish Agarwal, Vivek Ajit Singh, Toru Akiyama, Ibrahim Alshaygy, Jose I Albergo, John Alexander, Patricio A Alfaro, Bugra Alpan, Jose Amaya-Valero, Megan Anderson, Dimosthenis Andreou, Lucas Annabell, Christopher Anthony, Ahmed Aoude, William Aston, Libe Asua Mentxaka, Christine Azzopardi, Thomas Baad-Hansen, Ismail T Badr, Francisco Baixauli-Garcia, Gavin Baker, Tessa Balach, Giacomo G Baldi, Janie Barry, Georges Basile, Stefano Bastoni, Mohammad H Basuki, Henrik Bauer, Lee Bayliss, Ricardo G Becker, Angad Bedi, Joseph Benevenia, Francisco Bengoa, Peter Bergh, Marko Bergovec, Nicholas Bernthal, Odion Binitie, David Boddie, Michele Boffano, Patricia Bonilla Huertas, Anna B Borgognoni, Rajesh Botchu, Richard A Boyle, Jos Bramer, Rahat Brar, Harriet Branford-White, Demien Broekhuis, Samuel E Broida, Tymoteusz Budny, Zachary D Burke, Jorge Cabrolier, Jose A Calvo-Haro, Jorge R Calvo-Tapies, Domenico A Campanacci, Rodrigo Cardoso, Richard Carey Smith, Pedro I Carvallo, Nicolas Casales Fresenga, Jose M Casanova, Oscar Ceballos, Juan L Cebrian Parra, Laura K Certain, Sara Chancon Cartaya, Chung M Chan, Yoon Joo Cho, Peter Choong, Yang-Guk Chung, David Ciechanowicz, David Clever, Sebastian Colina, Luis Consuegra, Cory Couch, Gillian Cribb, Carlos Cuervo, Laurence A Cusick, Solomon Dadia, Tanios Dagher, Dietmar Dammerer, Mark Davies, Nerys Davies, Luis P De La Rosa Martino, Francisco J De Santos De La Fuente, Marieke De Vaal, Claudia Deckers, Javier Delgado Obando, Shaneel Deo, Niklas Deventer, Claudia Di Bella, Gregory Domson, Davide M Donati, Desiree M Dorleijn, Jacques Du Toit, Debra Dunne, Rodolfo Duran Ciarrochi, Walid Ebeid, Elina Ekman, Ahmed M El Ghoneimy, Makoto Endo, Levent Eralp, Mahmoud Etaiwi, Scott Evans, Robin Evrard, Will Eward, Alberto Farese, Peter C Ferguson, Pedro F Ferreira Cardoso, Fabrice Fiorenza, Michael Flint, Hector Flores, Joao Freitas, Bruno Fuchs, Tomohiro Fujiwara, Philipp T Funovics, Marcos Galli Serra, Zakareya Gamie, Carlos Garces-Zarzalejo, Aaron Gazendam, Carsten Gebert, Jasper G Gerbers, Craig Gerrand, Ghaith Abou-Nouar, Michelle Ghert, Kanishka M Ghosh, Max Gibbons, Luis C Gomez-Mier, Jesus Gomez-Vallejo, Anne Gomez-Mascard, Marcos R Gonzalez, Fausto Gonzalez-Lizan, Georg Gosheger, Stuart Goudie, Krista Goulding, Stavros D Goumenos, Anthony Griffin, Ashish Gulia, Sanjay Gupta, Amit Gupta, Maurice Guzman, Mohammed Haitham, Jendrik Hardes, Francisco Hardoy, Yusuf Hasan, Georg Hauer, Helard Havard, Rex Haydon, John Healey, Nerea Hernandez Gonzalez, Adriana Hernandez-Lopez, Asle Hesla, Matthew Hess, Chindanai Hongsaprabhas, Francis Hornicek, Keith Hosking, Matthew T Houdek, Eleanor Houghton, Oluwaseyi K Idowu, Joseph Ippolito, Marc Isler, Shintaro Iwata, Jake Jagiello, Neil Jenkins, Tom Jeys, Luke Johnson, Andy Johnston, Min Wook Joo, Paul C Jutte, Kadri Kaldas, Amar Kamat, Sudhir Kannan, Bilal Kapanci, Zeeshan Khan, Hiroshi Kobayashi, Yehuda Kollender, Sebastian Koob, Daniel Kotrych, Vineet Kurisunkal, Richard Kyte, Jose M Lamo De Espinosa, Alexander L Lazarides, Louis-Romee Le Nail, Pawel Legosz, Burkhard Lehner, Andreas Leithner, Maryse Lejoly, Valerae O Lewis, Peng Lin, Francisco Linares, Santiago A Lozano-Calderon, Ashish Mahendra, Ferdiansyah Mahyudin, Fermin J Mandia Mancebo, Sara Martos Torrejon, Christian Marx, Eric Mascard, Jean-Camille Mattei, Louise Mccullough, Sam Mcmahon, Manuel R Medellin Rincon, Benjamin Miller, Shinji Miwa, Gustavo Molina Uribe, Bryan Moon, Thomas Hilton, Diego J Moriel Garcesco, Carol Morris, Guy Morris, Steward Morrison, Sophie Mottard, Marcio Moura, Linde Muster, Robert Nakayama, Prashant Narhari, Ana Navas, Prakash Nayak, Johannes Neugebauer, Erik T Newman, Jyrki Nieminen, Emmy Nyqvist, Lukas Nystrom, Sarah O'Reilly-Harbidge, Gary O'Toole, Vania Oliveira, André Olivier, Mohamed Omar, Eduardo J Ortiz-Cruz, Harzem Ozger, Korhan Ozkan, Elisa Pala, Emanuela Palmerini, Grant Pang, Panayiotis Papagelopoulos, Giovanni Paraliticci, Michael C Parry, Sam Patton, David Peake, Ana Peiro Ibanez, Israel Perez Munoz, Ganapathy R Perianayagam, Michael M Petersen, Joris Ploegmakers, Robin Pollock, Gerard Powell, Juan Pretell, Jan Puetzler, Faisal Qamar, Anand Raja, Raja B Rajasekaran, Dipak Ramkumar, R L Randall, Kenneth Rankin, Kevin A Raskin, Kumaran Rassppan, Lauris Repsa, Mickael Ropars, Peter Rose, Pietro Ruggieri, Wael Sadek, German Salcedo, Aasim Saleemi, Andrea Sambri, Hartej Sar, Roberto Scanferla, Thomas Schubert, Jan Schwarze, Guido Scoccianti, Ashley Scrimshire, Tetsuya Sekita, Ahmad Shehadeh, Ahmed Shoaib, Bhim Shreemal, Felix Shumelinsky, Geoffrey Siegel, Claudio Silveri, Robert Silverwood, Friedl Sinnaeve, Jerome Sison, Andrea Slade, Maria A Smolle, Franz Snyman, Scott Sommerville, Sahil Sood, Andre Spiguel, Hugo St-Yves, Eric L Staals, Silvia Stacchiotti, Nikolas Stavropoulos, Peter Steadman, Jonathan D Stevenson, Mikaela Sullivan, Gwen Sys, Bartlomiej Szostakowski, Angela Tamburini, Yuta Taniguchi, Thomas Temple, Christoph Theil, Joachim Thorkildsen, Meagan Tibbo, Roger Tillman, Yu Toda, Kaspar Tootsi, Ferran Torner-Rubies, Frank Traub, Ioannis Trikoupis, Panagiotis Tsagkozis, Kim Tsoi, Hiroyuki Tsuchiya, Veli-Matti Vainio, Antonio Valcarcel, Juan Valencia, Annelies Van Beeck, Michiel Van De Sande, Thomas Van Den Berghe, Ingrid Van Der Geest, Lizz Van Der Heijden, Robert Van Der Wal, Kirsten Van Langevelde, Gualter Vaz, Roberto Velez Villa, Floortje Verspoor, Koenraad Verstraete, Julia Visgauss, Oleg Vyrva, Hazem Wafa, Sebastian Walter, Wan F Wan Ismail, Edward Wang, Patrick Q Wang, David Warnock, Joel Werier, Wolfram Weschenfelder, Kwok-Chuen Wong, Marjan Wouthuyzen-Bakker, Jay Wunder, Indica Wysinghe, Norio Yamamoto, Zhaoming Ye, Seung-Jae Yoon, Suraya Zainul Abidin, Pierluca Zecchetto, Liuzhe Zhang, Juan P Zumarraga, Miguel A Clara-Altamirano

Faculty, Staff and Student Publications

Aims: Cancer care guidelines have been developed in many subspecialities, usually in advanced health systems. However, there are notable global disparities in healthcare access, which can impact sarcoma care. Unfortunately, there is a lack of global data on this subject. Our aim was to describe access to sarcoma care based on a comprehensive global survey among orthopaedic oncologists, and assess for global as well as regional differences.

Methods: A 25-question survey was emailed to the attendees of the 2024 Birmingham Orthopaedic Oncology Meeting and included questions about the respondents' training and practice, access to sarcoma centres, and specific items for …

Natural Killer Cells’ Functional Impairment Drives The Immune Escape Of Pre-Malignant Clones In Early-Stage Myelodysplastic Syndromes, Juan Jose Rodriguez-Sevilla, Irene Ganan-Gomez, Bijender Kumar, Natthakan Thongon, Feiyang Ma, Kelly S Chien, Yi J Kim, Hui Yang, Sanam Loghavi, Roselyn Tan, Vera Adema, Zongrui Li, Tomoyuki Tanaka, Hidetaka Uryu, Rashmi Kanagal-Shamanna, Gheath Al-Atrash, Rafael Bejar, Pinaki Prosad Banerjee, Sophia Lynn Cha, Guillermo Montalban-Bravo, Max Dougherty, Maria Claudina Fernandez Laurita, Noelle Wheeler, Baosen Jia, Eirini P Papapetrou, Franco Izzo, Daniela E Dueñas, Salome Mcallen, Yiqian Gu, Gabriele Todisco, Francesca Ficara, Matteo Giovanni Della Porta, Abhinav Jain, Koichi Takahashi, Karen Clise-Dwyer, Stephanie Halene, Maria Teresa Sabrina Bertilaccio, Guillermo Garcia-Manero, May Daher, Simona Colla

Faculty, Staff and Student Publications

Dissecting the preneoplastic disease states' biological mechanisms that precede tumorigenesis can lead to interventions that can slow down disease progression and/or mitigate disease-related comorbidities. Myelodysplastic syndromes (MDS) cannot be cured by currently available pharmacological therapies, which fail to eradicate aberrant hematopoietic stem cells (HSCs), most of which are mutated by the time of diagnosis. Here, we sought to elucidate how MDS HSCs evade immune surveillance and expand in patients with clonal cytopenias of undetermined significance (CCUS), the pre-malignant stage of MDS. We used multi-omic single-cell approaches and functional in vitro studies to show that immune escape at disease initiation is …

Allosteric Targeted Drug Delivery For Enhanced Blood-Brain Barrier Penetration Via Mimicking Transmembrane Domain Interactions, Kaicheng Tang, Zhongjie Tang, Miaomiao Niu, Zuyin Kuang, Weiwei Xue, Xinyu Wang, Xinlong Liu, Yang Yu, Seongdong Jeong, Yifan Ma, Annette Wu, Betty Y S Kim, Wen Jiang, Zhaogang Yang, Chong Li

Faculty, Staff and Student Publications

Current strategies for active targeting in the brain are entirely based on the effective interaction of the ligand with the orthosteric sites of specific receptors on the blood-brain barrier (BBB), which is highly susceptible to various pathophysiological factors and limits the efficacy of drug delivery. Here, we propose an allosteric targeted drug delivery strategy that targets classical BBB transmembrane receptors by designing peptide ligands that specifically bind to their transmembrane domains. This strategy prevents competitive interference from endogenous ligands and antibodies by using the insulin receptor and integrin α

Her2-Selective Tyrosine Kinase Inhibitor, Zongertinib (Bi 1810631), In Patients With Advanced/Metastatic Solid Tumors With Her2 Alterations: A Phase Ia Dose-Escalation Study, John V Heymach, Frans Opdam, Minal Barve, Hai-Yan Tu, Yi-Long Wu, David Berz, Lukas Schröter, Yanick Botilde, Behbood Sadrolhefazi, Josep Serra, Kiyotaka Yoh, Noboru Yamamoto

Faculty, Staff and Student Publications

Purpose: Human epidermal growth factor receptor 2 (HER2) alterations occur in many solid cancers, including non-small cell lung cancer (NSCLC). Beamion LUNG-1 (ClinicalTrials.gov identifier: NCT04886804) is assessing the safety/efficacy of zongertinib (BI 1810631), a novel HER2-selective tyrosine kinase inhibitor that spares epidermal growth factor receptor, in patients with HER2-altered solid tumors.

Materials and methods: Beamion LUNG-1 is an ongoing multicenter, multicohort phase Ia/Ib trial. Phase Ia assessed zongertinib administered twice a day (15-150 mg) or once daily (60-360 mg) in pretreated patients with various tumors, including NSCLC. Primary end points were maximum tolerated dose (MTD) and dose-limiting toxicities (DLTs); …

The Zbtb24-Cdca7-Hells Axis Suppresses The Totipotent 2c-Like Reprogramming By Maintaining Dux Methylation And Repression, Dan Guo, Zeling Du, Youqi Liu, Meiqi Lin, Yue Lu, Swanand Hardikar, Yanna Xue, Jinghong Zhang, Taiping Chen, Jiameng Dan

Faculty, Staff and Student Publications

Two-cell-like cells (2CLCs), a rare population (∼0.5%) in mouse embryonic stem cell (mESC) cultures, are in a transient totipotent-like state resembling that of 2C-stage embryos, and their discovery and characterization have greatly facilitated the study of early developmental events, such as zygotic genome activation. However, the molecular determinants governing 2C-like reprogramming remain to be elucidated. Here, we show that ZBTB24, CDCA7, and HELLS, components of a molecular pathway that is involved in the pathogenesis of immunodeficiency, centromeric instability, and facial anomalies (ICF) syndrome, function as negative regulators of 2C-like reprogramming by maintaining DNA methylation of the Dux cluster, a master …

Cognitive Correlates Of Borderline Personality Disorder Features In Youth With Bipolar Spectrum Disorders And Bipolar Offspring, Alessio Simonetti, Sherin Kurian, Evelina Bernardi, Antonio Restaino, Francesca Bardi, Claudia Calderoni, Gabriele Sani, Jair C Soares, Kirti Saxena

Faculty, Staff and Student Publications

Background: Bipolar disorder (BD) and borderline personality disorder (BPD) share common cognitive impairments. These deficits are also shared by bipolar offspring (BD-OFF). Nevertheless, little is known regarding the association between cognitive impairments and BPD features in youth with BD and BD-OFF. Objectives: This study aimed to investigate the association between BPD features and cognitive impairments in youth with BD and BD-OFF.

Methods: Thirty-nine participants (7-17 years) with BD, 18 BD-OFF, and 50 healthy controls (HCs) were recruited. BPD features were assessed using the Borderline Personality Features Scale for Children (BPFS-C). Deficits in executive functions and affective processing were assessed using …

Geographic Divergence Of Methicillin-Resistant Staphylococcus Aureus St5-Scc Mec I In The Aftermath Of A Major Earthquake And Tsunami: Impact Of A Plasmid Harboring Heavy Metal Resistance Genes, Jose R W Martínez, Manuel Alcalde-Rico, Estefanía Jara-Videla, Jinnethe Reyes, Lina P Carvajal, Sandra Rincon, Rafael Ríos, Lorena Diaz, Ana Quesille-Villalobos, Roberto Riquelme-Neira, Lina Rivas, Ahmed M Moustafa, Blake Hanson, Eduardo A Undurraga, Jorge Olivares-Pacheco, Patricia García, Rafael Araos, Paul J Planet, César A Arias, Jose M Munita

Faculty, Staff and Student Publications

Methicillin-resistant Staphylococcus aureus (MRSA) is a major public health menace. The global spread of MRSA is characterized by successive waves of epidemic clones dominating specific geographical regions. The acquisition of genes encoding resistance to heavy metals (HMRGs) is thought to be a key feature in the geographic divergence of MRSA. However, the cause-effect relationship between the presence of HMRGs and the divergence of MRSA clones remains to be clarified. In this study, we assessed the role that HMRGs may have played in the evolutionary divergence of the MRSA ST5-SCCmecI lineage in Latin America. We conducted a genomic characterization …

An In Vivo Microscopy Dataset For The Characterization Of Leukocyte Death, Alain Pulfer, Diego Ulisse Pizzagalli, Miguel Palomino Segura, Nina Germic, Tommaso Virgilio, Mauro Di Pilato, Pau Carrillo Barbera, Elisa Palladino, Paola Antonello, Marcus Thelen, Hans-Uwe Simon, Rolf Krause, Santiago F Gonzalez

Faculty, Staff and Student Publications

Recent advancements in intravital microscopy have enabled the study of cell death in vivo under various experimental conditions, such as infection and cancer. However, the limited throughput of this technology, together with a lack of openly accessible datasets, affects the development of algorithms for the automatic detection and characterization of cell death, which in turn require the integration of extensive and curated datasets. To address these needs, we present a curated dataset of microscopy videos depicting the death of neutrophils, eosinophils, and dendritic cells, acquired in the spleen and in the lymph node of mice under inflammatory conditions. The dataset …

Identifying The Human Olfactory And Chemosignaling Neural Networks Using Event Related Fmri And Graph Theory, Saideh Ferdowsi, Tom Foulsham, Alireza Rahmani, Dimitri Ognibene, Luca Citi, Wen Li

Faculty, Staff and Student Publications

This study aims to characterize and compare the functional neural networks associated with different olfactory stimuli, including air, non-social odours, and human body odours. We introduce a novel processing pipeline based on event-related functional magnetic resonance imaging (fMRI) and graph theory for network identification. To ensure the stability and small worldness of the characterized networks, we conduct statistical validations, network modularity assessments, and robustness measurement against local attacks. The key hypothesis is that human body odours (so-called social odours) and non-social odours engage distinct neural networks, particularly in regions responsible for social processing. We found that the posterior medial orbitofrontal …

Phase 2 Trial Of Ibrutinib And Nivolumab In Patients With Relapsed Cns Lymphomas, Dai Chihara, Raphael E Steiner, Ranjit Nair, Lei Feng, Sairah Ahmed, Paolo Strati, Luis Malpica, Donna P Griffith, Shivon A Mathew, Wirt Montinez, Gita Masand, Felipe Samaniego, Maria A Rodriguez, Fredrick B Hagemeister, Luis E Fayad, Swaminathan P Iyer, Loretta J Nastoupil, Sattva S Neelapu, Christopher R Flowers, Jason R Westin

Faculty, Staff and Student Publications

Treatment options are limited for both relapsed/refractory primary and secondary central nervous system (CNS) lymphoma and the prognosis remains poor. Previous studies have shown the activity of Bruton tyrosine kinase inhibitors and programmed death-1-targeted therapies in CNS lymphoma, and studies suggested potential synergy. Therefore, we conducted a phase 2 trial that combined ibrutinib with nivolumab for patients with relapsed/refractory CNS lymphoma. Patients received 560 mg oral ibrutinib daily with 240 mg IV nivolumab every 14 days (28 days per cycle). Patients who had partial or complete response after 6 cycles of treatment could continue therapy for up to 2 years …

Mri-Based Digital Twins To Improve Treatment Response Of Breast Cancer By Optimizing Neoadjuvant Chemotherapy Regimens, Chengyue Wu, Ernesto A B F Lima, Casey E Stowers, Zhan Xu, Clinton Yam, Jong Bum Son, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered on 10/21/2014) who received Adriamycin/Cytoxan (A/C)-Taxol (T). Digital twins were established by calibrating a biology-based mathematical model to patient-specific MRI data, which accurately predicted pathological complete response (pCR) with an AUC of 0.82. We then used each patient's twin to theoretically optimize outcome by identifying their optimal A/C-T schedule from 128 options. The patient-specifically optimized treatment yielded a significant improvement in pCR rate of 20.95-24.76%. Retrospective …

A Folding-Docking-Affinity Framework For Protein-Ligand Binding Affinity Prediction, Ming-Hsiu Wu, Ziqian Xie, Degui Zhi

Faculty, Staff and Student Publications

Accurate protein-ligand binding affinity prediction is crucial in drug discovery. Existing methods are predominately docking-free, without explicitly considering atom-level interaction between proteins and ligands in scenarios where crystallized protein-ligand binding conformations are unavailable. Now, with breakthroughs in deep learning AI-based protein folding and binding conformation prediction, can we improve binding affinity prediction? This study introduces a framework, Folding-Docking-Affinity (FDA), which folds proteins, determines protein-ligand binding conformations, and predicts binding affinities from three-dimensional protein-ligand binding structures. Our experimental results indicate that FDA performs comparably to state-of-the-art docking-free methods. We anticipate that our proposed framework serves as a starting point for integrating …

A Scoping Review Of Omop Cdm Adoption For Cancer Research Using Real World Data, Liwei Wang, Andrew Wen, Sunyang Fu, Xiaoyang Ruan, Ming Huang, Rui Li, Qiuhao Lu, Heather Lyu, Andrew E Williams, Hongfang Liu

Faculty, Staff and Student Publications

The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) supports large-scale research by enabling distributed network analyses. However, the breadth of its adoption in cancer research is not well understood. We conducted a scoping review to describe the adoption of the OMOP CDM in cancer research. A total of 49 unique articles were included in the review, with 30 on the data analysis theme, and 20 on the infrastructure theme. This review highlighted that while the OMOP CDM ecosystem has enabled successful data support for cancer research, particularly for collaborative studies, ongoing model development and iterative improvement remain needed …

Benchmarking Large Language Models For Biomedical Natural Language Processing Applications And Recommendations, Qingyu Chen, Yan Hu, Xueqing Peng, Qianqian Xie, Qiao Jin, Aidan Gilson, Maxwell B Singer, Xuguang Ai, Po-Ting Lai, Zhizheng Wang, Vipina K Keloth, Kalpana Raja, Jimin Huang, Huan He, Fongci Lin, Jingcheng Du, Rui Zhang, W Jim Zheng, Ron A Adelman, Zhiyong Lu, Hua Xu

Faculty, Staff and Student Publications

The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their effectiveness in BioNLP tasks remains unclear due to limited benchmarks and practical guidelines. We perform a systematic evaluation of four LLMs-GPT and LLaMA representatives-on 12 BioNLP benchmarks across six applications. We compare their zero-shot, few-shot, and fine-tuning performance with the traditional fine-tuning of BERT or BART models. We examine inconsistencies, missing information, hallucinations, and perform cost analysis. Here, we show that traditional fine-tuning outperforms zero- or …