Medicine and Health Sciences Commons^™

Towards Data-Driven Science Literacy: Extracting Psycholinguistic Markers In Vaping-Related Online Peer Interactions, Michael Truong, Ahmed Abdelhameed, Tavleen Singh, Kirk Roberts, Sahiti Myneni

Faculty, Staff and Student Publications

Social media debates on e-cigarettes raise public health concerns due to evolving evidence and conflicting guidelines. We analyzed 25,127 vaping-related comments to explore how users discuss vaping-related topics. Our analysis revealed 25 topics grouped into three parent topics: positive effects of vaping, negative effects of vaping, and vaping-related news & information. Significant differences were observed in psycholinguistic characteristics with high emotional exchanges as positive and negative effects of e-cigarettes are debated. Our results can inform interventions promoting science literacy and misinformation resistance.

Efficient Training Corpus Retrieval For Large Language Model Fine Tuning: A Case Study In Cancer., Avisha Das, Chiamaka Diala, Guocai Chen, Zhao Li, Rongbin Li, Omer Anjum, W Jim Zheng

Faculty, Staff and Student Publications

The objective is to create an automated knowledge extraction tool for cancer research that builds high-quality academic corpora for LLM fine-tuning while investigating its effectiveness in interleukin-6 and bladder cancer domains. To address the current gap in knowledge retrieval techniques for cancer research data collection, we propose KnowledgePipeline, a novel automated tool that incorporates diverse aspects of academic papers and metadata. Our tool integrates content, co-citations, and co-authorship networks to construct domain-specific academic corpora suitable for fine-tuning LLMs. We leverage two LLMs (GPTJ-6.7B and Galactica30B) trained on domain-specific question-answer pairs from the refined data. The system's evaluation focuses on both …

Frontline Acalabrutinib, Lenalidomide And Rituximab For Advanced Stage Follicular Lymphoma With High Tumor Burden: Phase Ii Trial, Paolo Strati, Lei Feng, Jason R Westin, Ranjit Nair, Luis E Fayad, Maria A Rodriguez, Dai Chihara, Luis Malpica, Jared Henderson, Mariana Gallardo, Marissa Rivera, Iris Wang, Anastasiia Bolshakova, Anastasia Radko, David Kurtz, Stefan K Alig, Christopher R Flowers, Ash A Alizadeh, Sattva S Neelapu

Faculty, Staff and Student Publications

This phase II trial aims to determine the efficacy and safety of frontline acalabrutinib, lenalidomide and rituximab for patients with advanced stage follicular lymphoma (FL) and high tumor burden. The primary endpoint was best complete response (CR) rate; the secondary endpoints were overall response rate (ORR), duration of response measured as CR at 30 months (CR30), progression of disease at 24 months (POD24) rate, progression-free survival (PFS), overall survival and safety. Twenty-four patients with previously untreated FL were included in this phase 2 single arm study (NCT04404088). The most common grade 3-4 adverse events were neutropenia (58%) and …

Histologic And Immune Characterization Of Cutaneous Immune-Related Adverse Events Induced By Immune Checkpoint Inhibitors, Omar Pacha, Anisha B Patel, Jonathan L Curry, Cara L Haymaker, Nejla Ozirmak Lermi, Dzifa Yawa Duose, Ken Chen, Joud Hajjar, Aung Naing

Faculty, Staff and Student Publications

Background: Although immune checkpoint inhibitors (ICIs) are efficacious, they often cause immune-related adverse events (irAEs), most commonly cutaneous irAEs (CirAEs). The mechanisms underlying CirAEs remain unclear.

Methods: Attempting to better understand their mechanisms and histology we conducted a prospective study of 15 patients with advanced cancers treated with ICIs who developed grade 2 or higher CirAEs. Clinical and histologic characterization of biopsy specimens of CirAEs was performed. Histologic analysis of patient biopsy specimens were subdivided by epidermal reaction patterns that included spongiotic, lichenoid, and interface dermatitis patterns. A targeted RNA expression assay was used to identify immune markers in CirAE …

Immunomodulatory Effects Of Gold Nanoparticles: Impacts On Immune Cells And Mechanisms Of Action, Khadijeh Koushki, Prapannajeet Biswal, Geraldine Vidhya Vijay, Mahvash Sadeghi, Sajad Dehnavi, Ngoc Tuyet Tra, Sai Kumar Samala, Mahdieh Yousefi Taba, Arjun Balaji Vasan, Emily Han, Yuri Mackeyev, Sunil Krishnan

Faculty, Staff and Student Publications

Traditional anti-inflammatory medications-such as corticosteroids, biological agents, and non-steroidal anti-inflammatory drugs-are commonly employed to mitigate inflammation, despite their potential for debilitating side effects. There is a growing need for alternative next-generation therapies for symptomatic, unchecked, and/or detrimental inflammation with more favorable adverse effect profiles. The long history of use of gold salts as anti-inflammatory agents and the more recent exploration of gold nanoparticle (AuNP) formulations for clinical indications suggest that the targeted delivery of nanoparticles to inflammatory sites may be a promising approach worth investigating. Coupled with peptides that specifically target immune cells, AuNPs could potently counteract inflammation. Here, we …

Exploring Factors Affecting The Adoption And Use Of Digital Health Technologies Among Older Adults With Cancer: A Qualitative Study, Misun Hwang, Youmin Cho, Katie Gahn, Heidi Mason, Milisa Manojlovich, Yang Gong, Yun Jiang

Faculty, Staff and Student Publications

Purpose: Although digital health technologies (DHTs) are promising to improve health outcomes in older adults with cancer, the low adoption and limited use remain significant gaps in their effective digital health care. Little is known about their concerns about adopting and using DHTs in routine life, particularly in the continued use phase. This study aims to explore factors affecting the initial adoption and continued use of DHTs among older adults with cancer.

Methods: A secondary analysis of qualitative data was conducted based on interviews with 21 older adults (≥ 65 years) with breast, prostate, lung, or colorectal cancer. The transcripts …

Racial And Ethnic Disparities In Receipt Of Guideline-Concordant Pancreatic Cancer Care Among Older Adults In The United States, Joshua Herb, Kai-Ping Liao, John K Lin, Kever A Lewis, Sharon H Giordano, Matthew H G Katz, Rebecca A Snyder

Faculty, Staff and Student Publications

Purpose: Patients racialized as Black experience a higher mortality from pancreatic cancer (PC). Worse survival outcomes may relate to differences in delivered treatment. This study examined differences in receipt of guideline-concordant care (GCC) among older adults with PC according to race and ethnicity.

Methods: Patients 65 years and older with incident PC racialized as non-Hispanic White (NH-White) or racialized as NH-Black or of Hispanic ethnicity were identified in the SEER-Medicare database from 2004 to 2019. The primary outcome was receipt of stage-specific GCC. Multivariable logistic regression identified factors associated with GCC. Oaxaca-Blinder decomposition examined the contribution of measured and unmeasured …

Mri-Based Radiomics For Outcome Stratification In Pediatric Osteosarcoma, Esther Ngan, Dolores Mullikin, Ashok J Theruvath, Ananth V Annapragada, Ketan B Ghaghada, Andras A Heczey, Zbigniew A Starosolski

Faculty, Staff and Students Publications

Background/Objectives: Osteosarcoma (OS) is the most common malignant bone tumor in children and adolescents; the survival rate is as low as 24%. Accurate prediction of clinical outcomes remains a challenge due to tumor heterogeneity and the complexity of pediatric cases. This study aims to improve predictions of progressive disease, therapy response, relapse, and survival in pediatric OS using MRI-based radiomics and machine learning methods. \

Methods: Pre-treatment contrast-enhanced coronal T1-weighted MR scans were collected from 63 pediatric OS patients, with an additional nine external cases used for validation. Three strategies were considered for target region segmentation (whole-tumor, tumor …

Information Theory Optimization Of Signals From Small-Angle Scattering Measurements, Robert P Rambo, John A Tainer

Faculty, Staff and Student Publications

Small-angle X-ray scattering (SAXS) of particles in solution informs on the conformational states and assemblies of biological macromolecules (bioSAXS) outside of cryo- and solid-state conditions. In bioSAXS, the SAXS measurement under dilute conditions is resolution limited, and through an inverse Fourier transform, the measured SAXS intensities directly relate to the physical space occupied by the particles via the P(r)-distribution. Yet, this inverse transform of SAXS data has been historically cast as an ill-posed, ill-conditioned problem requiring an indirect approach. Here, we show that through the applications of matrix and information theories, the inverse transform of SAXS intensity data is a …

Phase 2 Study Of Zilovertamab Vedotin In Participants With Metastatic Solid Tumors, Funda Meric-Bernstam, Martin Gutierrez, Enrique Sanz-Garcia, Diego Villa, Jun Zhang, Jennifer Friedmann, Fengting Yan, Mark A Socinski, John Sarantopoulos, Luis E Raez, Quincy S Chu, Maxime Chénard-Poirier, Manash Chatterjee, Hong Ren, Qi Liu, Douglas A Levine, Komal L Jhaveri

Faculty, Staff and Student Publications

Purpose: Zilovertamab vedotin, an antibody‒drug conjugate targeting receptor tyrosine kinase‒like orphan receptor 1 (ROR1), had manageable safety and promising antitumor activity in participants with relapsed or refractory non-Hodgkin lymphomas. We evaluated zilovertamab vedotin in participants with previously-treated metastatic solid tumors.

Methods: This phase 2, open-label, nonrandomized study (NCT04504916) enrolled participants with metastatic triple-negative breast cancer, hormone receptor‒positive (HR+) breast cancer, nonsquamous non‒small-cell lung cancer, platinum-resistant ovarian cancer, or pancreatic cancer. Participants received zilovertamab vedotin ≤2.5 mg/kg once every 3 weeks (Q1/3W) or < 1.75 mg/kg twice every 3 weeks (Q2/3W). Primary endpoint was objective response rate (ORR) per RECIST v1.1 by blinded independent central review. ROR1 protein expression was correlated with clinical outcomes.

Results: 102 participants were enrolled (Q1/3W, n=70; Q2/3W, n=32). ORR was 1% (95% CI, 0%‒8%) with …

The Neurosurgeon's Role In The Brain Economy: How Strategic Investment In Neurosurgical Care And Innovation Will Improve Global Outcomes, Daniela A Perez-Chadid, Riya M Dange, Harris A Eyre, Graham Fieggen, Kerry A Vaughan, Sameer A Sheth, Jafri Malin Abdullah, Bello B Shehu, Daniel Donoho, Samuel Browd, Agustin Ibanez, Saksham Gupta, Frederick Lang, Anil Nanda, Gail Rosseau

Faculty, Staff and Student Publications

No abstract provided.

Interactive 3d Segmentation For Primary Gross Tumor Volume In Oropharyngeal Cancer, Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

Faculty, Staff and Student Publications

Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in manual tumor delineation. For such a challenge an interactive deep learning (DL) based approach offers the advantage of automatic high-performance segmentation with the flexibility for user correction when necessary. In this study, we investigate an interactive DL for GTVt segmentation in OPC by introducing a novel two-stage Interactive Click Refinement (2S-ICR) framework and implementing state-of-the-art algorithms. Using the 2021 HEad and neCK TumOR dataset …

Gated Recurrent Unit With Decay Has Real-Time Capability For Postoperative Ileus Surveillance And Offers Cross-Hospital Transferability, Xiaoyang Ruan, Sunyang Fu, Heling Jia, Kellie L Mathis, Cornelius A Thiels, Schaeferle M Gavin, Patrick M Wilson, Curtis B Storlie, Hongfang Liu

Faculty, Staff and Student Publications

Background: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs, and hospital stays. Assessing risk of ileus is crucial, especially with the trend towards early discharge. Prior studies assessed risk of ileus with regression models, the role of deep learning remains unexplored.

Methods: We evaluated the Gated Recurrent Unit with Decay (GRU-D) for real-time ileus risk assessment in 7349 colorectal surgeries across three Mayo Clinic sites with two Electronic Health Record (EHR) systems. The results were compared with atemporal models on a panel of benchmark metrics.

Results: Here we show that despite extreme data sparsity (e.g., 72.2% of labs, …

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 …

Car-Macrophage Cell Therapy: A New Era Of Hope For Pancreatic Cancer, Daoyan Wei, Liang Wang, Yi Liu, Xiangsheng Zuo, Xiling Shen, Robert S Bresalier

Faculty, Staff and Student Publications

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest malignancies, characterized by late diagnosis, early metastasis, and resistance to conventional therapies. A major barrier to effective treatment is its desmoplastic and immunosuppressive tumor microenvironment (TME), which restricts T cell infiltration and dampens responses to immune checkpoint inhibitors (ICIs). These features highlight the urgent need for innovative immunotherapeutic strategies capable of overcoming PDAC's immunologic and physical barriers. Chimeric antigen receptor (CAR)-macrophage (CAR-M) therapy has emerged as a promising approach to address these challenges. Unlike CAR-T or CAR-NK cells, CAR-Ms can efficiently infiltrate tumors, remodel the TME, phagocytose tumor cells, and stimulate …

Depletion Of Effector Regulatory T Cells Associates With Major Response To Induction Dual Immune Checkpoint Blockade, Xianli Jiang, Nils-Petter Rudqvist, Bo Jiang, Shengbin Ye, Shan He, Qingnan Liang, Jinzhuang Dou, Michelle D Williams, Joe Dan Dunn, Jason M Johnson, Keiko Akagi, Weihong Xiao, Shaoheng Liang, Satvik Elayavalli, Baohua Sun, Edwin R Parra, Renata Ferrarotto, Adam S Garden, Clifton David Fuller, Jay Reddy, Neil D Gross, Miriam N Lango, Cheuk Hong Leung, Suyu Liu, Diane D Liu, Meng Li, J Jack Lee, Michael A Curran, Jack Phan, Ken Chen, Maura L Gillison

Faculty, Staff and Student Publications

In a phase II trial, patients with local-regionally advanced human papillomavirus-positive oropharyngeal carcinoma (n = 35) received ipilimumab (anti-CTLA4) and nivolumab (anti-PD-1) as induction immunotherapy and concurrently with radiotherapy (NCT03799445). Coprimary endpoints included 6-month complete metabolic response rate (94%) and 2-year progression-free survival (84%). Induction yielded a 46% major histopathologic response rate. Single-cell profiling revealed responders had higher baseline intratumoral CD8+ T cells with a tumor-reactive, tissue-resident memory (TRM) phenotype and a treatment-related decrease in effector regulatory T (eTreg) cells. The eTreg decrease correlated with CD8+ T-cell clonotype transitioning from TRM to effector memory and IFNG+ effector cells. …

Partial Cystectomy For Muscle-Invasive Bladder Cancer, Peter S Palencia, Nethusan Sivanesan, Syed Rahman, Fady Ghali, David Hesse, John Colberg, Ashwin Sridhar, John D Kelly, Byron H Lee, Ashish M Kamat, Wei-Shen Tan

Faculty, Staff and Student Publications

Partial cystectomy is a surgical bladder-sparing option for selected patients with muscle-invasive bladder cancer (MIBC), urachal adenocarcinoma and diverticular bladder tumors. Partial cystectomy hold several advantages. It allows for definite pathology and accurate staging while avoiding side effects from radiation therapy and preserves the option for salvage radical therapy (radical cystectomy or radical radiotherapy). Patients should have a CT urogram, prostatic urethral biopsy and mapping biopsies or blue light cystoscopy to rule out multifocal disease or CIS. Small solitary MIBC patients without carcinoma in situ in an area of the bladder where resection can be performed with negative margin would …

Bcl-2/Bcl-Xl Dual Inhibition Triggers Gasdermin D-Mediated Pyroptosis In Mantle Cell Lymphoma, Yijing Li, Joseph Mcintosh, Vivian Jiang, Fangfang Yan, Jovanny Vargas, Yuxuan Che, Wei Wang, Ching-Fei Li, Yue Fei, Celeste Lee, Lei Nie, Yixin Yao, Michael Wang, Heng-Huan Lee, Yang Liu

Faculty, Staff and Student Publications

No abstract provided.

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 …

Dp-Brem: Differentially-Private And Byzantine-Robust Federated Learning With Client Momentum, Xiaolan Gu, Ming Li, Li Xiong

Faculty, Staff and Student Publications

Federated Learning (FL) allows multiple participating clients to train machine learning models collaboratively while keeping their datasets local and only exchanging the gradient or model updates with a coordinating server. Existing FL protocols are vulnerable to attacks that aim to compromise data privacy and/or model robustness. Recently proposed defenses focused on ensuring either privacy or robustness, but not both. In this paper, we focus on simultaneously achieving differential privacy (DP) and Byzantine robustness for cross-silo FL, based on the idea of learning from history. The robustness is achieved via client momentum, which averages the updates of each client over time, …

Pain Acceptance In Chronic Postoperative Pain: Concept Analysis, Sajini M Thekkel, Constance M Johnson, Meagan Whisenant, Deniz Dishman

Faculty, Staff and Student Publications

Purpose: Chronic postoperative pain (CPOP) is a potential outcome of otherwise successful surgery that can persist for months, with its prevalence varied by surgical type, genetic predispositions, and psychosocial factors. Pain acceptance offers better outcomes to these patient populations by fostering a willingness to experience pain without resistance. This analysis examines how pain acceptance contributes to psychological well-being, helps reduce opioid misuse, and enhances quality of life, even in the presence of CPOP.

Design: The concept analysis approach follows Walker and Avant's framework (2019).

Methods: A literature search across PubMed, Web of Science, and CINAHL yielded 276 articles, of which …

Syncope As The First Clue To A Congenital Heart Defect, Ravi Soni, Victoria Morris, Benjamin Karfunkle

Faculty, Staff and Student Publications

No abstract provided.

Isolation And Functional Properties Of Highly-Purified N-Terminal Domain Of Human Napi2b By Scalable “Resin Overload” Technique, Daria Savenkova, Irina Makarenko, Daria Nedorezova, Ramziya Kiyamova, Mikhail Bogdanov

Faculty, Staff and Student Publications

Despite the enthusiasm and advances in the purification of native and engineered full-length membrane proteins, little attention has been paid to their fragments which could serve as attractive inspiration for function, regulation, or targeting of full-length membrane protein with therapeutic antibodies (Abs). Production of recombinant fragments of "therapeutic" membrane proteins for early-stage discovery research requires their purification to near homogeneity. It is important not only for the production of biotherapeutic antibodies but also for structural and functional studies of competitive protein-Abs, protein-protein, and lipid-protein interactions which heavily rely on the purity and quality of the isolated protein fragment of interest. …

2025 European Leukemianet Recommendations For The Management Of Chronic Myeloid Leukemia, Jane F Apperley, Dragana Milojkovic, Nicholas C P Cross, Henrik Hjorth-Hansen, Andreas Hochhaus, Hagop Kantarjian, Jeffrey H Lipton, Hemant Malhotra, Dietger Niederwieser, Jerald Radich, Philippe Rousselot, Susanne Saussele, Charles A Schiffer, Richard Silver, Simona Soverini, Leif Stenke, Anna Turkina, Luis Felipe Casado, Fausto Castagnetti, Francisco Cervantes, Richard E Clark, Jorge Cortes, Michael Deininger, Timothy P Hughes, Jeroen Janssen, Qian Jiang, Dong-Wook Kim, Richard A Larson, Francois X Mahon, Michael Mauro, Jiri Mayer, Franck E Nicolini, Fabrizio Pane, Delphine Rea, Johan Richter, Gianantonio Rosti, Giuseppe Saglio, Rüdiger Hehlmann

Faculty, Staff and Student Publications

In this 5th version of the European LeukemiaNet guidance for adult patients, there are important changes in several areas of management based on evidence available since 2020, including the World Health Organisation's reclassification of CML as a biphasic disease. Previous advice to switch the tyrosine kinase inhibitor (TKI) on failure of molecular milestones, is modified to better account for individual patient circumstances. Our recommendations are summarized in tables designed to be read in conjunction with the text which offers justification and additional advice. We describe decision-making for first-line treatment, both in available drugs and their initial dosing. Similarly we elaborate …

Addressing Challenges In Developing Treatments For Inherited Retinal Diseases: Recommendations From The Third Monaciano Symposium, Debra A Thompson, K Thiran Jayasundera, Oleg Alekseev, Robin R Ali, Alessia Amato, Vadim Y Arshavsky, Isabelle S Audo, Alberto Auricchio, James W B Bainbridge, Eyal Banin, Cagri G Besirli, David G Birch, Kari E Branham, Artur V Cideciyan, Stephen P Daiger, Jacque L Duncan, Abigail T Fahim, John G Flannery, Roberto Gattegna, John R Heckenlively, Elise Héon, Alessandro Iannaccone, Naheed W Khan, Samer Khateb, Henry J Klassen, Bart P Leroy, Dario Marangoni, Michel Michaelides, David C Musch, Mark E Pennesi, Simon M Petersen-Jones, Eric A Pierce, Rajesh C Rao, José-Alain Sahel, Paul A Sieving, Enrica Strettoi, Cameron R Strong, Thomas J Wubben, Paul Yang, David N Zacks

Faculty, Staff and Student Publications

Over the past decade, efforts focused on developing genetic therapies for inherited retinal diseases have advanced steadily to clinical trials and the development of a treatment, fueling optimism for the potential of precision medicines to provide safe and effective therapies for these rare conditions. Although several ongoing programs remain poised for success, numerous challenges have negatively impacted the ability to obtain regulatory approvals. The present position paper briefly summarizes recent advances and challenges in developing therapeutics for inherited retinal diseases, and presents a set of recommendations for moving the field forward. The priorities identified are discussed in terms of progress …

Transcriptomic Analysis Of Localized High-Risk Prostate Cancer Improves Prognostication And Identifies Benefit From Adding Docetaxel To Definitive Radiotherapy With Androgen Suppression In The Nrg Oncology/Rtog 0521 Phase 3 Trial, Ryan M Phillips, James A Proudfoot, Elai Davicioni, Yang Liu, Daniel E Spratt, Jeff M Simko, Robert B Den, Alan Pollack, Seth A Rosenthal, A Oliver Sartor, Christopher J Sweeney, Gerhardt Attard, Leslie Longoria, Samir Patel, Michael W Straza, Jason A Efstathiou, Amit B Shah, Karen E Hoffman, Joseph P Rodgers, Howard M Sandler, Felix Y Feng, Phuoc T Tran

Faculty, Staff and Student Publications

Background and objective: NRG/RTOG 0521 randomized men with high-risk localized prostate cancer (PC) to androgen suppression (AS) and definitive radiotherapy (RT) ± docetaxel-based chemotherapy (CT). The overall survival (OS) benefit with CT initially reported was lost on longer follow-up. The Decipher genomic classifier (GC) measures multiple transcripts relevant to docetaxel action. Basal/luminal differentiation portends differential response to AS and CT for high-risk localized and metastatic hormone-sensitive PC. We validated the Decipher GC in pretreatment biopsy samples for risk stratification and examined basal-luminal subtyping to predict docetaxel response.

Methods: Decipher GC scores and basal-luminal cellular subtypes were generated for specimens from …

Efficacy And Safety Of Oral Decitabine/Cedazuridine In The Chronic Myelomonocytic Leukaemia Subpopulations From Phase 2 And 3 Studies, Michael R Savona, Olatoyosi Odenike, Gail J Roboz, Harshad Amin, Amy E Dezern, Elizabeth A Griffiths, Kim-Hien Dao, Amer M Zeidan, Bhavana Bhatnagar, Rena Buckstein, Brian Leber, Mary-Margaret Keating, Somedeb Ball, Aram Oganesian, Yuri Sano, Harold N Keer, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

DNA methyltransferase inhibitors (DNMTis) are commonly used in treating chronic myelomonocytic leukaemia (CMML); however, data from prospective studies of DNMTis in CMML are limited. The present analysis evaluated the efficacy, safety and pharmacodynamics of the oral DNMTi decitabine/cedazuridine in the subset of patients with CMML from the phase 2 and 3 trials, which led to the approval of this agent for myelodysplastic syndromes and CMML in the United States and Canada. Potential prognostic factors also were analysed. In all, 34 patients with CMML were screened and 33 were treated. Most patients (76% [n = 25]) had myelodysplastic type-CMML and 77% …

Bayesian Counterfactual Machine Learning Individualizes Radiation Modality Selection To Mitigate Immunosuppression, Duo Yu, Michael J Kane, Yiqing Chen, Steven H Lin, Radhe Mohan, Brian P Hobbs

Faculty, Staff and Student Publications

Purpose: Lymphocytes play critical roles in cancer immunity and tumor surveillance. Radiation-induced lymphopenia (RIL) is a common side effect observed in patients with cancer undergoing chemoradiation therapy (CRT), leading to impaired immunity and worse clinical outcomes. Although proton beam therapy (PBT) has been suggested to reduce RIL risk compared with intensity-modulated radiation therapy (IMRT), this study used Bayesian counterfactual machine learning to identify distinct patient profiles and inform personalized radiation modality choice.

Methods: A novel Bayesian causal inferential technique is introduced and applied to a matched retrospective cohort of 510 patients with esophageal cancer undergoing CRT to identify patient profiles …

Celebrating The Fifth Edition Of The International Symposium On Fungal Stress – Isfus, A Decade After Its 2014 Debut, Alene Alder-Rangel, Amanda E A Rangel, Arturo Casadevall, Asiya Gusa, Chaoyang Xue, Charles M Boone, Chris Todd Hittinger, Claudio A Masuda, Consuelo Olivares-Yañez, Deborah Bell-Pedersen, Erica J Washington, Gerhard Braus, Guilhem Janbon, István Pócsi, Jason E Stajich, Jay C Dunlap, Joan W Bennett, Joseph Heitman, Ling Lu, Lucia Landi, Mari L Shinohara, Maurizio Del Poeta, Mavis A Acheampong, Mia R Maltz, Michael C Lorenz, Minou Nowrousian, N Louise Glass, Nichole A Broderick, Nicolás Pedrini, Nir Osherov, R Blake Billmyre, Sabrina Sarrocco, Salomé Leibundgut-Landmann, Vânia Aparecida Vicente, Xiaorong Lin, Xin-Qing Zhao, Yong-Sun Bahn, Zachary A Lewis, Drauzio E N Rangel

Faculty, Staff and Student Publications

The Fifth International Symposium on Fungal Stress (ISFUS) brought together in Brazil many of the leaders in the field of fungal stress responses, from fourteen countries, for four days of outstanding science ranging from basic research to studies with agricultural, medical, industrial, and environmental significance. In addition to the excellent oral and poster presentations, the Symposium organisers ensured that all participants had ample opportunity to engage, socialise, and network to exchange ideas and share research. The conference was enhanced by the world-class venue near Iguazu Falls, probably the greatest natural phenomenon in South America.