Life Sciences Commons^™

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 …

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 …

Increased Fungal Burden In The Gastrointestinal Tract Of Brain-Dead Organ Donors, Erika J Nachman, Colleen K Ardis, A Kyle B Ardis, Javier Nieto, Madeline M Bresson, Clare M Robertson, Maggie N Seale, Nora M Villafuerte, Zhe Lyu, Eva C Preisner, Heather A Danhof, Sara C Di Rienzi, Yolanda T Becker, Robert A Britton

Faculty, Staff and Students Publications

Approximately 3% of organ transplant recipients will be diagnosed with an invasive fungal infection (IFI), with 10%-47% being fatal. The source of IFI is typically not known, but Candida spp. cause the majority of IFI cases. We obtained intestines from two types of organ donors, brain-dead (BD) (n = 7) and donation after circulatory death (DCD) (n = 5), to sample microbes from the mucosal surface and the lumen. BD donors were parenterally fed and treated with corticosteroids in the days before procurement, whereas DCD donors were enterally fed and not given corticosteroids. We found fungi present in …

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 …

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 …

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. …

Quantile Index Predictors Using R Package Hyper.Gam, Tingting Zhan, Misung Yi, Inna Chervoneva

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

MOTIVATION: Evaluation of single-cell protein expression from immunohistochemistry images is used increasingly in biomedical research. Many proteins are used solely for phenotyping cells in the tumor microenvironment. Other proteins with meaningfully quantitative expression levels provide so-called functional protein biomarkers. There is still a limited number of methods and software tools available for utilizing the entire distributions of single-cell expression levels.

RESULTS: We present the R package hyper.gam, providing a supervised learning framework for deriving biomarkers based on single-cell distribution quantiles. The single-cell data are first converted into sample quantile functions, which are then used as predictors in scalar-on-function regression models …

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 …

Vascular Risk Factors And 1-Year Cognitive Change Among Individuals With Traumatic Brain Injury, Andrea L. C. Schneider, Katherine Hunzinger, Benjamin L. Brett, Danielle K Sandsmark, Sonia Jain, Xiaoying Sun, Raquel C. Gardner, Geoffrey T. Manley, Ramon Diaz-Arrastia, Lindsay D. Nelson, Patrick Belton, Shawn Eagle, Shankar Gopinath, Ramesh Grandhi, C. Dirk Keene, Vijay Krishnamoorthy, Christine Mac Donald, Michael Mccrea, Randall Merchant, Pratik Mukherjee, Laura B. Ngwenya, David Okonkwo, Claudia Robertson, David Schnyer, Sabrina R. Taylor, John K. Yue, Ross Zafonte

Department of Exercise Science Faculty Papers

IMPORTANCE: Traumatic brain injury (TBI) and vascular risk factors are associated with cognitive impairment, but it is unknown if individuals with vascular risk factors experience worse cognitive outcomes after TBI.

OBJECTIVE: To evaluate cognitive function among patients with TBI with vs without comorbid preinjury vascular risk factors.

DESIGN, SETTING, AND PARTICIPANTS: This prospective cohort study examined individuals with TBI enrolled in the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) Study between February 26, 2014, and August 8, 2018, with a 1-year follow-up. Analyses were conducted February 26, 2024, to May 29, 2025.

EXPOSURES: Vascular risk factors (ie, hypertension, diabetes, …

Dynamic Long-Term Prediction With Intermediate Event Information: A Flexible Model With Bivariate Time-Varying Coefficients, Yunyi Wang, Wen Li, Ruosha Li, Jing Ning

Faculty, Staff and Student Publications

The integration of time-to-intermediate event data and the evolving characteristics of patients to enhance long-term prediction has garnered significant interest, driven by the wealth of data generated from longitudinal cohorts. In this paper, we propose sequential/dynamic prediction rules by using regression models with time-varying coefficients. We introduce a class of dynamic models that not only incorporates intermediate event information but also leverages information across different landmark times. To address the challenge of right-censoring, we employ an inverse weighting technique in the estimation process. We establish the asymptotic properties of the estimated parameters and conduct extensive simulations to assess the finite …

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

Faculty, Staff and Student Publications

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

Large-Scale Genome-Wide Analyses Of Stuttering, Hannah G Polikowsky, Alyssa C Scartozzi, Douglas M Shaw, Dillon G Pruett, Hung-Hsin Chen, Lauren E Petty, Alexander S Petty, Emily J Lowther, Shu-Hsien Cho, Yao Yu, Sahar Mozaffari, Christy L Avery, Kathleen Mullan Harris, Reyna L Gordon, Janet M Beilby, Kathryn Z Viljoen, Robin M Jones, Chad D Huff, Heather M Highland, Shelly Jo Kraft, Jennifer E Below

Faculty, Staff and Student Publications

Developmental stuttering is a highly heritable, common speech condition characterized by prolongations, blocks and repetitions of speech. Although stuttering is highly heritable and enriched within families, the genetic architecture is largely understudied. We reasoned that there are both shared and distinct genetic variants impacting stuttering risk within sex and ancestry groups. To test this idea, we performed eight primary genome-wide association analyses of self-reported stuttering that were stratified by sex and ancestry, as well as secondary meta-analyses of more than one million individuals (99,776 cases and 1,023,243 controls), identifying 57 unique loci. We validated the genetic risk of self-reported stuttering …

Nature-Inspired Metaheuristics For Optimizing Dose-Finding And Computationally Challenging Clinical Trial Designs, Weng Kee Wong, Yevgen Ryeznik, Oleksandr Sverdlov, Ping-Yang Chen, Xinying Fang, Ray-Bing Chen, Shouhao Zhou, J Jack Lee

Faculty, Staff and Student Publications

Metaheuristics are commonly used in computer science and engineering to solve optimization problems, but their potential applications in clinical trial design have remained largely unexplored. This article provides a brief overview of metaheuristics and reviews their limited use in clinical trial settings. We focus on nature-inspired metaheuristics and apply one of its exemplary algorithms, the particle swarm optimization (PSO) algorithm, to find phase I/II designs that jointly consider toxicity and efficacy. As a specific application, we demonstrate the utility of PSO in designing optimal dose-finding studies to estimate the optimal biological dose (OBD) for a continuation-ratio model with four parameters …

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 …

The Significance Of Detecting An Unusual Myeloblast Immunophenotype In A Presumptive Clinical Diagnosis Of Myelodysplastic Syndromes, Fnu Sameeta, Wei Wang, Fatima Zahra Jelloul, Okechukwu V Nwogbo, Beenu Thakral, Jie Xu, Shaoying Li, Chi Young Ok, Guilin Tang, Fuli Jia, L Jeffrey Medeiros, Sanam Loghavi, Jeffrey L Jorgensen, Sa A Wang

Faculty, Staff and Student Publications

Context.—: Blasts in myelodysplastic syndromes (MDSs) typically have a primitive myeloid immunophenotype (CD34+CD117+CD13+CD33+HLA-DR+). On rare occasions, blasts were found to be CD34 negative or minimally expressed in a presumptive MDS.

Objective.—: To investigate the occurrence of these cases, and to examine any unique molecular genetic features, and clinical relevance.

Design.—: More than 2000 flow cytometry immunophenotyping tests for MDS performed during a 5-year period were retrospectively reviewed. Chronic myelomonocytic leukemia and overt acute myeloid leukemia (AML) (≥20% blasts) were excluded.

Results.—: Approximately 800 cases had abnormal myeloblasts consistent with myeloid neoplasms; 96% of cases showed a typical primitive phenotype, but …

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 …

Nanotechnology For Immuno-Oncology, Adam J Grippin, Daeyong Lee, Eileen E Parkes, Wen Jiang, Betty Y S Kim

Faculty, Staff and Student Publications

Although the first generation of cancer immunotherapeutics produced unprecedented improvements in clinical outcomes for individuals with cancer, novel strategies to increase treatment specificity, delivery efficiency and pharmacokinetics are still needed. In this Review, we describe the potential advantages and current limitations of nanomaterials for cancer immunotherapy and highlight rational uses of nanosystems to generate potent and durable antitumor immune responses. We close with a review of the current state of clinical development of nanomedicine for cancer immunotherapy.

White Matter Abnormalities And Cognition In Aging And Alzheimer Disease, Christopher Peter, Aditi Sathe, Niranjana Shashikumar, Kimberly R Pechman, Abigail W Workmeister, T Bryan Jackson, Yuankai Huo, Shubhabrata Mukherjee, Jesse Mez, Logan C Dumitrescu, Katherine A Gifford, Corey J Bolton, Leslie S Gaynor, Shannon L Risacher, Lori L Beason-Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Duygu Tosun-Turgut, Mohamad Habes, Di Wang, Arthur W Toga, Paul M Thompson, Panpan Zhang, Kurt G Schilling, Marilyn Albert, Walter Kukull, Sarah A Biber, Bennett A Landman, Barbara B Bendlin, Sterling C Johnson, Julie Schneider, Lisa L Barnes, David A Bennett, Angela L Jefferson, Susan M Resnick, Andrew J Saykin, Paul K Crane, Michael L Cuccaro, Timothy J Hohman, Derek B Archer, Dimitrios Zaras, Yisu Yang, Alaina Durant, Praitayini Kanakaraj, Michael E Kim, Chenyu Gao, Nancy R Newlin, Karthik Ramadass, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Seo-Eun Choi, Brandon Klinedinst, Michael L Lee, Phoebe Scollard, Emily H Trittschuh, Elizabeth A Sanders

Faculty, Staff and Student Publications

Importance: There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).

Objective: To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.

Design setting and participants: This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022. Participants were eligible if they had diffusion-weighted magnetic resonance imaging (dMRI) data, domain-specific cognitive composite z scores, demographic and clinical data, were …

Film Measurements Of Kilovoltage X-Ray Percentage Depth Doses For Different Energies And Field Sizes, Tze Yee Lim, Dershan Luo, Jamshid Moradi-Kurdestany, Xin Wang, Ramesh Tailor

Faculty, Staff and Student Publications

Objectives: Kilovoltage x-ray therapy, which includes superficial x-rays and orthovoltage x-rays, is particularly suited for treatments near the skin surface. Radiation dose deposition at depth is typically characterized by percentage depth dose (PDD) curves. However, PDD data are difficult to obtain in kilovoltage x-ray therapy, hence clinics often rely on British Journal of Radiology Supplement 25 (BJR-25) archival data. This study measured PDD for different energies and field sizes on the Xstrahl 300 kilovoltage x-ray therapy unit for comparison with BJR-25 data.

Methods: We irradiated EBT3 film in water using different energy and field size combinations, then, compared the acquired …

Evolution Of Esophageal Adenocarcinoma From Precursor Lesion Stem Cells, Wa Xian, Shan Wang, Jingzhong Xie, Yusuke Yamamoto, Melina Khorrami, Yanting Zhang, Raul Caballero Montes, Caycel Desales, Melika Khorrami, Zaal Mory, Ashley Hoffman, Amber Su, Crystal Nguyen, Peter J A Davies, Clifford Stephan, Shuang Pan, Wengen Wu, Yuxin Liu, Jeremy Siegelman, Rebecca E Waters, William A Ross, Shumei Song, Mark Metersky, David G Beer, Christopher P Crum, Alexander J Stewart, Matthew Vincent, Richard Russell, Robert A Izard, Khek Yu Ho, Jack Hung-Sen Lai, William W Bachovchin, Jaffer A Ajani, Frank D Mckeon

Faculty, Staff and Student Publications

Background & aims: Metastatic cancers arise from a decades-long succession of increasingly virulent precursor lesions, each of which represents prospective targets for therapeutic intervention. This evolutionary process has been particularly vivid in esophageal adenocarcinoma (EAC), as this cancer and associated precursor lesions, including Barrett's esophagus (BE), low-grade dysplasia (LGD), and high-grade dysplasia (HGD), coexist in an accessible, 2-dimensional pattern in esophageal mucosa. Given the durability of these precursor lesions, it is likely that they, like EAC, rely on stem cells for their regenerative growth. To assess the role of stem cells in the evolution of EAC, we apply technology that …

Associations Between Prostate Cancer And Dementia: A Nationwide Study In Sweden, Casey Crump, Pär Stattin, James D Brooks, Jan Sundquist, Jingkai Wei, Weiva Sieh, Kristina Sundquist

Faculty, Staff and Student Publications

Background and objective: Prostate cancer (PC) and dementia may commonly co-occur; yet, prior evidence for bidirectional associations is inconsistent. This study aims to determine the associations between PC and dementia in large population-based studies, which may further inform clinical care.

Methods: To assess the dementia risk in men with PC, a national cohort study was conducted in 178 746 men diagnosed with PC in 1998-2017 and 1 787 460 age-matched control men in Sweden without prior dementia. Cox regression was used to estimate hazard ratios (HRs) for Alzheimer's disease (AD) and vascular dementia (VaD) through 2018. Subanalyses explored differences by …

Development Of A Multi-Institutional Dataset To Validate A Novel Inflammatory Breast Cancer Diagnostic Score, Filipa Lynce, Samuel M Niman, Megumi Kai, Sean Ryan, Elizabeth Troll, Li Li, Kathy D Miller, Reshma Jagsi, Ginny Mason, Beth A Overmoyer, H T Carisa Le-Petross, Faina Nakhlis, Savitri Krishnamurthy, Beth T Harrison, Susie X Sun, Eren D Yeh, Jennifer R Bellon, Laura E Warren, Michael C Stauder, Meredith M Regan, Wendy A Woodward

Faculty, Staff and Student Publications

Background: Susan G. Komen, the Inflammatory Breast Cancer (IBC) Research Foundation, and the Milburn Foundation convened patient advocates, clinicians, and researchers to propose novel quantitative scoring rubrics for IBC diagnosis. In this study, we developed a multi-institutional clinical dataset to test and validate the proposed scoring system.

Methods: IBC (N = 988) and non-IBC (N = 332) cases were identified at 2 institutions with dedicated multidisciplinary IBC programs. The non-IBC cohort included consecutive cT4b and cT4c patients. Standard operating procedures (SOPs) were developed for all ambiguous findings and languages. Three different methods were used for the imputation of missing data, …

Consensus Statement On The Prevention And Management Of Complications Of Fully Ablative Laser Resurfacing Of The Face, Bianca Y Kang, Joel L Cohen, Roy Geronemus, Suzanne L Kilmer, Edward Victor Ross, Elizabeth L Tanzi, Jill S Waibel, Brian J F Wong, Murad Alam, Macrene Alexiades, Kenneth A Arndt, Mathew Avram, Ashish C Bhatia, Brian Stuart Biesman, Jason D Bloom, A Jay Burns, Henry H L Chan, Catherine M Digiorgio, Jeffrey S Dover, Sam Fathizadeh, Sara C Esteves, Michael H Gold, Gerald N Goldberg, Merete Haedersdal, Elika Hoss, Omar A Ibrahimi, H Ray Jalian, Kristen M Kelly, Woraphong Manuskiatti, Lisa A Marks, Girish S Munavalli, Jason N Pozner, Chris W Robb, Anthony M Rossi, Nazanin Saedi, Peter R Shumaker, Kelly Stankiewicz, Molly Wanner, Douglas C Wu, Adam J Wulkan, Arisa Ortiz

Faculty, Staff and Student Publications

Objectives: To achieve consensus among expert laser surgeons on standards for the prevention and management of adverse events from fully ablative laser resurfacing of the face.

Materials and methods: Delphi study with two rounds of ratings and revisions until consensus was achieved. The draft set of statements was developed by a steering committee based on expert clinical experience. This was followed by two rounds of rating and revisions completed by an expert panel, then a virtual consensus meeting. In both rounds, respondents rated the draft statements on a 9-point Likert scale (1 = strongly disagree; 9 = strongly agree) and …

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 …

Bard: A Seamless Two-Stage Dose Optimization Design Integrating Backfill And Adaptive Randomization, Yixuan Zhao, Rachael Liu, Jianchang Lin, Ying Yuan

Faculty, Staff and Student Publications

One common approach for dose optimization is a two-stage design, which initially conducts dose escalation to identify the maximum tolerated dose, followed by a randomization stage where patients are assigned to two or more doses to further assess and compare their risk-benefit profiles to identify the optimal dose. A limitation of this approach is its requirement for a relatively large sample size. To address this challenge, we propose a seamless two-stage design, BARD (Backfill and Adaptive Randomization for Dose Optimization), which incorporates two key features to reduce sample size and shorten trial duration. The first feature is the integration of …

Mitophagy’S Impacts On Cancer And Neurodegenerative Diseases: Implications For Future Therapies, Jason Huang, Vincent Truong Pham, Shaozi Fu, Gang Huang, Ya-Guang Liu, Lei Zheng

Faculty, Staff and Student Publications

Substantial evidence supports an inverse relationship between cancer and neurodegenerative diseases (NDDs), but few studies investigate the biological mechanisms underlying this phenomenon. While previous explanations-such as inflammation, reactive oxygen species (ROS), genetic mutations, and cell death-remain significant, they ultimately converge on mitophagy. This review identifies mitophagy as a pivotal factor in the development of both cancer and NDDs, while also evaluating specific mechanisms and processes to clarify how mitophagy connects these opposing disease trajectories. By examining these factors, we aim to uncover the underlying mechanisms that explain the inverse relationship between cancer and NDDs, which will help develop therapeutic strategies …

Gd3 Synthase Drives Resistance To P53-Induced Apoptosis In Breast Cancer By Modulating Mitochondrial Function, Vivek Anand, Fouad El-Dana, Natalia Baran, Jenny Borgman, Zheng Yin, Hong Zhao, Stephen T Wong, Michael Andreeff, V Lokesh Battula

Faculty, Staff and Student Publications

TP53 mutations are common in breast cancer (BC) and are associated with poor prognosis. GD3 synthase (GD3S/ST8SIA1), a gene associated with breast cancer stem cells, is upregulated in tumors with p53 mutations. However, the functional relationship between GD3S and p53 is unknown. Here, we show that GD3S levels are highest in breast tumors with specific p53 mutations. Functional studies revealed that wild-type (WT) p53 inhibits GD3S expression, whereas mutation in p53 enhances GD3S expression by upregulating GD3S promoter activity. Moreover, we found that GD3S inhibits wild-type p53-induced apoptosis in BC cells, while BC cells harboring gain-of-function p53 mutations are dependent …

Inhibition Of Methylthioadenosine Phosphorylase Protects From Experimental Acute Kidney Injury, Afaf Saliba, Yidong Chen, Jonathan W Nelson, Abhinav Vetcha, Wei Wei Wang, Li Kang, Nagarjunachary Ragi, Soumya Maity, Hamid Rabb, W Brian Reeves, Kumar Sharma

Faculty, Staff and Student Publications

Methylthioadenosine phosphorylase (MTAP) is a key enzyme in purine metabolism that may influence cellular responses to injury. We evaluated the effects of prophylactic MTAP inhibition in mouse models of ischemia-reperfusion and cisplatin-induced acute kidney injury (AKI). MTAP inhibition was confirmed by accumulation of methylthioadenosine (MTA). Treated mice showed reduced renal injury and decreased tubular damage. Transcriptomic analysis revealed protection from inflammatory and stress pathways, while maintaining oxidative phosphorylation, fatty acid metabolism, and epithelial integrity-related genes. Analysis of human single-cell RNA-seq data from the Kidney Precision Medicine Project indicated that MTAP is highly expressed in kidney injury marker-positive adaptive proximal tubule …

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. …

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.