Digital Commons Network^™

Psychometric Properties And Meaningful Change Thresholds For The Qol-E Instrument In Patients With Myelodysplastic Neoplasms, Esther Natalie Oliva, Shien Guo, Jennifer Lord-Bessen, Aylin Yucel, Roberto Latagliata, Giuseppe A Palumbo, Marta Riva, Valeria Santini, Uwe Platzbecker, Guillermo Garcia-Manero, Pierre Fenaux, Christopher G Pelligra

Faculty, Staff and Student Publications

peripheral blood cytopenias, and an increased risk of progression to acute myeloid leukemia. One of the main treatment goals is improving quality of life (QoL), particularly for patients with lower-risk MDS (LR-MDS) who may live longer with compromised QoL. The QOL-E© is a patient-reported outcome (PRO) measure specifically developed to address the lack of a health-related QoL questionnaire for patients with MDS. The objective of this study was to evaluate the psychometric performance of the QOL-E in patients with LR-MDS.

Methods: Data from four clinical trials in MDS (MEDALIST, DARB-MDS, EQoL-MDS, and RevMDS trials) were used to assess construct validity, …

Innovative Approaches In Precision Radiation Oncology: Advanced Imaging Technologies And Challenges Which Shape The Future Of Radiation Therapy, Yue Yan, Daniel A Alexander, Bryan P Bednarz, Lawrence F Bronk, Huixiao Chen, Bin Han, Yuting Li, Ngoc Nguyen, Natasha Mulenga, Natalie N Viscariello, Yuenan Wang, Joseph Weygand, Yana Zlateva, Fada Guan

Faculty, Staff and Student Publications

Radiation oncology is undergoing a transformative shift toward precision medicine through unprecedented advances in imaging technologies that enable increasingly personalized and adaptive cancer treatment. This comprehensive review synthesizes the underlying physical principles, current clinical applications, technical challenges, and quality assurance requirements across the complete spectrum of emerging imaging-guided radiation therapy approaches. We examine magnetic resonance-guided radiotherapy systems that enable daily soft-tissue visualization and online plan adaptation, positron emission tomography-guided platforms that allow real-time tracking of metabolically active tumor regions, advanced cone beam computed tomography systems supporting rapid adaptive workflows through artificial intelligence-enhanced image generation, and novel applications including Cherenkov radiation …

Prevalence Of Carotid Ultrasound Screening In Survivors Of Childhood Cancer: A Report From The Childhood Cancer Survivor Study, Yolanda Bryce, Jillian A Whitton, Kayla L Stratton, Wendy M Leisenring, Eric J Chow, Brent Weil, Rebecca M Howell, Kevin C Oeffinger, Paul C Nathan, Emily S Tonorezos

Faculty, Staff and Student Publications

Introduction: Many childhood cancer survivors are at risk for cardiovascular disease and stroke. The North American Children's Oncology Group long-term follow-up guidelines recommend carotid ultrasound in cancer survivors 10 years after neck radiation therapy (RT) ≥40 Gy. The use of carotid ultrasound in this population has not been described.

Methods: Survivors of childhood cancer diagnosed 1970-1999 (N = 8693) and siblings (N = 1989) enrolled in the Childhood Cancer Survivor Study were asked if they had ever had a carotid ultrasound. Prevalence of carotid ultrasound was evaluated. Prevalence ratios (PR) and 95% confidence intervals (CIs) were evaluated in multivariate Poisson …

A Serum Biomarker Panel And Miniarray Detection System For Tracking Disease Activity And Flare Risk In Lupus Nephritis, Chenling Tang, Gongjun Tan, Aygun Teymur, Jiechang Guo, Arturo Haces-Garcia, Richard Williams, Ramesh Saxena, Tianfu Wu

Faculty, Staff and Student Publications

Introduction: Lupus nephritis (LN) leads to end stage renal disease (ESRD), and early diagnosis and disease monitoring of LN could significantly reduce the risk. however, there is not such a system clinically. In this study we aim to develop a biomarker-panel based point-of-care system for LN.

Methods: Immunoassay screening combined with genomic expression databases and machine learning techniques was used to identify a biomarker panel of LN. A quantitative biomarker-panel mini-array (BPMA) system was developed and the sensitivity, specificity, reproducibility, and stability of the were examined. The performance of BPMA in disease monitoring was validated with machine models using a …

Plasma Dna Methylation-Based Biomarkers For Mpnst Detection In Patients With Neurofibromatosis Type 1, Katarzyna Tomczak, Manishkumar S Patel, Angela D Bhalla, Christine B Peterson, Sharon M Landers, Di Zhang, Jace P Landry, Alexander J Lazar, J Andrew Livingston, B Ashleigh Guadagnolo, Heather G Lyu, Heather Lillemoe, Christina L Roland, Emily Z Keung, Christopher P Scally, Kelly K Hunt, Ian E Mccutcheon, John M Slopis, Jian Gu, Paul Scheet, Liang Wang, Kunal Rai, Keila E Torres

Faculty, Staff and Student Publications

Malignant peripheral nerve sheath tumor (MPNST) development is characterized by an altered DNA methylation landscape, which presents a promising area for developing MPNST-specific biomarkers for screening patients with NF1. Genome-wide DNA methylation profiling of a cohort of 13 patients with MPNST (29 samples of tumor and adjacent neurofibroma tissues) and of NF1-MPNST cell lines was performed to identify and validate candidate MPNST-specific CpG sites (CpGs). A logistic regression prediction model was constructed to select MPNST-specific CpGs distinct from adjacent neurofibromas and normal tissues. To test if hypermethylation at selected CpGs can also be detected in plasma from patients with MPNST, …

Correction: Topss: Tolerability Of Transcranial Direct Current Stimulation In Pediatric Stroke Survivors, Stuart Fraser, Anna Clearman, Melika Abrahams, Bernadette Gillick, Tia Lal, Nuray Yozbatiran

Faculty, Staff and Student Publications

[This corrects the article DOI: 10.3389/fnhum.2025.1629499.].

Correction: Innovative Approaches In Precision Radiation Oncology: Advanced Imaging Technologies And Challenges Which Shape The Future Of Radiation Therapy, Yue Yan, Daniel A Alexander, Bryan P Bednarz, Lawrence F Bronk, Huixiao Chen, Bin Han, Yuting Li, Ngoc Nguyen, Natasha Mulenga, Natalie N Viscariello, Yuenan Wang, Joseph Weygand, Yana Zlateva, Fada Guan

Faculty, Staff and Student Publications

No abstract provided.

Characterizing Spatial Immune Architecture In Metastatic Melanoma Using High-Dimensional Multiplex Imaging, Joel Eliason, Santhoshi Krishnan, Yasunari Fukuda, Matias A Bustos, Dan Winkowski, Akshay Basi, Elizabeth A Grimm, Michael A Davies, Dave S B Hoon, Arvind Rao, Jared K Burks, Suhendan Ekmekcioglu

Faculty, Staff and Student Publications

Introduction: Immune checkpoint inhibitors (ICIs) have significantly improved survival for patients with metastatic melanoma, yet many experienceresistance due to immunosuppressive mechanisms within the tumor immune microenvironment (TIME). Understanding how the spatial architecture of immune and inflammatory components changes across disease stages may reveal novel prognostic biomarkers and therapeutic targets.

Methods: We performed high-dimensional spatial profiling of two melanoma tissue microarrays (TMAs), representing Stage III (n = 157) and Stage IV (n = 248) metastatic tumors. Using imaging mass cytometry (IMC) and multiplex immunofluorescence (mIF), we characterized the phenotypic, functional, and spatial properties of the TIME. Cellular neighborhoods were …

Acute Myeloid Leukemia Management And Research In 2025, Hagop M Kantarjian, Courtney D Dinardo, Tapan M Kadia, Naval G Daver, Jessica K Altman, Elias Jabbour, Amy Lang, Farhad Ravandi

Faculty, Staff and Student Publications

The first 5 decades of research in acute myeloid leukemia (AML) were dominated by the cytarabine plus anthracyclines backbone, with advances in strategies including allogeneic hematopoietic stem cell transplantation, high-dose cytarabine, supportive care measures, and targeted therapies for the subset of patients with acute promyelocytic leukemia. Since 2017, a turning point in AML research, 12 agents have received regulatory approval for AML in the United States: venetoclax (BCL2 inhibitor); gemtuzumab ozogamicin (CD33 antibody-drug conjugate); midostaurin, gilteritinib, and quizartinib (fms-like tyrosine kinase 3 inhibitors); ivosidenib, olutasidenib, and enasidenib (isocitrate dehydrogenase 1 and 2 inhibitors); oral azacitidine (a partially absorbable formulation); CPX351 …

Optimization Of Proximity Labeling In Endothelial Cells: Overcoming Endogenous Biotin Interference And Cost Barriers, Ying Jiang, Kuizhi Qu, Mengjun Dai, Yan-Ning Rui, Zhen Xu

Faculty, Staff and Student Publications

Proximity labeling has become a powerful technique for mapping protein-protein interactions under physiologically relevant conditions, with TurboID offering high enzymatic activity and rapid labeling. However, its application in endothelial systems has been limited, partly due to the presence of endogenous biotin in specialized media, which reduces labeling specificity. Here, we optimized TurboID-mediated proximity labeling in brain microvascular endothelial cells by addressing two key challenges: endogenous biotin interference and cost-effective depletion. We discovered that endothelial cell medium contains substantial biotin levels, which saturate TurboID labeling and obscure the effects of exogenous biotin. Using High Capacity NeutrAvidin

Mechanisms Of How Sarcopenia Affects Functional Outcomes In Acute Ischaemic Stroke, Dong-Seok Gwak, Jinyong Chung, Dawid Schellingerhout, Hyerin Oh, Sang-Wuk Jeong, Dong-Eog Kim

Faculty, Staff and Student Publications

Sarcopenia, a common geriatric condition characterized by the loss of skeletal muscle mass and function, can negatively affect functional outcomes in acute ischaemic stroke; however, the underlying mechanisms remain unclear. We hypothesized that sarcopenia affects post-stroke outcomes, mediated through its impact on dysphagia, early neurological deterioration, or post-stroke recovery, particularly in patients with motor deficits. To explore this hypothesis, we included 600 consecutive elderly (≥65 years) patients with acute (< 1 week) ischaemic stroke and assessed: (i) the relationships sarcopenia has with dysphagia, early neurological deterioration and various phases of recovery after stroke (in-hospital, post-discharge [up to 3 months], and chronic [3 months to 1 year]) and (ii) whether either presenting symptoms or lesion locations modify the impact of sarcopenia on stroke outcomes. Temporal muscle thickness, a marker of sarcopenia, was measured by brain magnetic resonance imaging and dichotomized into low versus high temporal muscle thickness at the 25th percentile cut-off point. Logistic regression analysis, mediation analysis and statistical brain mapping were conducted. Mean age was 75.3 ± 6.1 years and 303 (50.5%) were male. Low temporal muscle thickness (< 5.1 mm) was independently associated with dysphagia (adjusted odds ratio 1.89 [95% confidence interval 1.06–3.37], P = 0.03), early neurological deterioration (adjusted odds ratio 2.75 [95% confidence interval 1.61–4.71], P < 0.001) and post-discharge recovery (adjusted odds ratio 0.56 [95% confidence interval 0.34–0.94], P = 0.03) but not with in-hospital or chronic recovery. In addition, dysphagia, early neurological …

Combining Biology-Based And Mri Data-Driven Modeling To Predict Response To Neoadjuvant Chemotherapy In Patients With Triple-Negative Breast Cancer, Casey E Stowers, Chengyue Wu, Zhan Xu, Sidharth Kumar, Clinton Yam, Jingfei Ma, Gaiane M Rauch, Thomas E Yankeelov

Faculty, Staff and Student Publications

Purpose

To combine deep learning and biology-based modeling to predict the response of locally advanced, triple-negative breast cancer before initiating neoadjuvant chemotherapy (NAC).

Materials and Methods

In this retrospective study, a biology-based mathematical model of tumor response to NAC was constructed and calibrated on a patient-specific basis using imaging data from patients enrolled in the MD Anderson A Robust TNBC Evaluation FraMework to Improve Survival trial (ARTEMIS; ClinicalTrials.gov registration no. NCT02276443) between April 2018 and May 2021. To relate the calibrated parameters in the biology-based model and pretreatment MRI data, a convolutional neural network (CNN) was employed. The CNN …

18 Kda Translocator Protein (Tspo) Is Upregulated In Rat Brain After Peripheral Nerve Injury And Downregulated By Diroximel Fumarate, Rafael A Cazuza, Sever M Zagrai, Anamaria R Grieco, Thomas D Avery, Andrew D Abell, Marco L Loggia

Faculty, Staff and Student Publications

Neuroimmune signaling is a key process underlying neuropathic pain. Clinical studies have demonstrated that 18 kDa translocator protein (TSPO), a putative marker of neuroinflammation, is upregulated in discrete brain regions of patients with chronic pain. However, no preclinical studies have investigated TSPO dynamics in the brain in the context of neuropathic pain and in response to analgesic treatments. We used positron emission tomography-computed tomography (PET-CT) and [18F]-PBR06 radioligand to measure TSPO levels in the brain across time after chronic constriction injury (CCI) of the sciatic nerve in both male and female rats. Up to 10 weeks post-CCI, TSPO expression was …

Integrating Multi-Omics Data To Uncover Prostate Tissue Dna Methylation Biomarkers And Target Genes For Prostate Cancer Risk, Shuai Liu, Jingjing Zhu, Dylan Green, Hua Zhong, Quan Long, Liang Wang, Lang Wu

Faculty, Staff and Student Publications

Previous studies have indicated that specific CpG sites may be linked to the risk of prostate cancer (PCa) by regulating the expression of PCa target genes. However, most existing studies aim to identify DNA methylation (DNAm) biomarkers through blood tissue genetic instruments, which impedes the identification of relevant biomarkers in prostate tissue. To identify PCa risk-associated CpG sites in prostate tissue, we established genetic prediction models of DNAm levels using data from normal prostate samples in the GTEx (N = 108) and assessed associations between genetically predicted DNAm in prostate and PCa risk by studying 122,188 cases and 604,640 controls. …

Changes In Functional Connectivity Are Associated With Functional Independence In The Early Postoperative Period Following Awake Surgical Resection Of Language-Eloquent Glioma, Kyle R Noll, Evan D Bander, Henry S Chen, Mariana Bradshaw, Jeffrey S Wefel, Sujit S Prabhu

Faculty, Staff and Student Publications

Background: Neurocognitive decline in patients with primary brain tumors is associated with alterations in the functional connectome and reduced independence in daily living. This study explores postoperative connectomic changes associated with functional independence outcomes in patients with eloquent glioma, and how these associations differ from neurocognitive-connetcomic relationships.

Methods: Fifteen patients with left perisylvian glioma underwent resting-state functional magnetic resonance imaging (fMRI) and neuropsychological evaluation within 2 weeks before and on average 1 month after resection. Functional independence was measured with the Physical Self-Maintenance Scale (PSMS) and the Instrumental Activities of Daily Living scale (IADL). Graph theoretical analysis quantified functional brain …

The Tripod-Llm Reporting Guideline For Studies Using Large Language Models, Jack Gallifant, Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Dina Demner-Fushman, Roxana Daneshjou, Chrystinne Fernandes, Lasse Hyldig Hansen, Adam Landman, Lisa Lehmann, Liam G Mccoy, Timothy Miller, Amy Moreno, Nikolaj Munch, David Restrepo, Guergana Savova, Renato Umeton, Judy Wawira Gichoya, Gary S Collins, Karel G M Moons, Leo A Celi, Danielle S Bitterman

Faculty, Staff and Student Publications

Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion. The guidelines introduce a modular format accommodating various LLM research designs and tasks, with 14 main items and 32 subitems applicable across all categories. Developed through an expedited Delphi process and expert consensus, TRIPOD-LLM emphasizes …

Rethinking Parkinson's Disease Genetics In The Precision Medicine Era: Why Genomic Diversity Matters?, Camilla Teixeira Pinheiro Gusmão, Giselli Scaini, Everton Ferreira De Souza, Rafael Antônio Vicente Lacerda, Matheus De Almeida Costa, João Quevedo

Faculty, Staff and Student Publications

No abstract provided.

Role Of Posterior Carbon Fiber Implants In Spine Tumor Surgery, Christopher A Alvarez-Breckenridge, Robert North, Claudio Tatsui, Naresh Kumar, Sheng-Fu Lo, Jeremy Reynolds, Ilya Laufer, Jorrit Jan Verlaan, Ziya Gokaslan, Alessandro Luzzati, Riccardo Cecchinato, John Shin, Francis Hornicek, Alexander Disch, Matthew Goodwin, Rory Goodwin, Arjun Sahgal, Alessandro Gasbarrini, Stefano Boriani

Faculty, Staff and Student Publications

Study design: Narrative Review.

Objective: The management of spinal tumors requires a multi-disciplinary approach including surgery, radiation, and systemic therapy. Surgical approaches typically require posterior segmental instrumentation to maintain long-term spinal stability. Carbon fiber reinforced pedicle screws (CFRP) are increasingly used in the oncologic setting due to reductions in both imaging artifacts and radiotherapy perturbations compared to titanium implants. We performed a review of the literature and highlight advantages and future areas of study for CFRP.

Methods: We performed a systematic review of the literature using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and identified 10 articles …

Refining Breast Cancer Genetic Risk And Biology Through Multi-Ancestry Fine-Mapping Analyses Of 192 Risk Regions, Guochong Jia, Zhishan Chen, Jie Ping, Qiuyin Cai, Ran Tao, Joshua A Bauer, Stefan Ambs, Mollie E Barnard, Yu Chen, Ji-Yeob Choi, Yu-Tang Gao, Montserrat Garcia-Closas, Jian Gu, Jennifer J Hu, Motoki Iwasaki, Esther M John, Sun-Seog Kweon, Christopher I Li, Koichi Matsuda, Keitaro Matsuo, Katherine L Nathanson, Barbara Nemesure, Olufunmilayo I Olopade, Tuya Pal, Sue K Park, Boyoung Park, Michael F Press, Maureen Sanderson, Dale P Sandler, Chen-Yang Shen, Melissa A Troester, Song Yao, Ying Zheng, Thomas Ahearn, Abenaa M Brewster, Adeyinka Falusi, Anselm J M Hennis, Hidemi Ito, Michiaki Kubo, Eun-Sook Lee, Timothy Makumbi, Paul Ndom, Dong-Young Noh, Katie M O'Brien, Oladosu Ojengbede, Andrew F Olshan, Min-Ho Park, Sonya Reid, Taiki Yamaji, Gary Zirpoli, Ebonee N Butler, Maosheng Huang, Siew-Kee Low, John Obafunwa, Clarice R Weinberg, Haoyu Zhang, Hongyu Zhao, Michelle L Cote, Christine B Ambrosone, Dezheng Huo, Bingshan Li, Daehee Kang, Julie R Palmer, Xiao-Ou Shu, Christopher A Haiman, Xingyi Guo, Jirong Long, Wei Zheng

Faculty, Staff and Student Publications

Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant. Analyses integrating functional genomics data identified 195 putative susceptibility genes, enriched in PI3K/AKT, TNF/NF-κB, p53 …

Exposure Therapy Consortium: Outcomes Of The Proof-Of-Principle Study, Jasper A J Smits, Jonathan S Abramowitz, Rebecca A Anderson, Joanna J Arch, Daniel Badeja, Amanda N Belanger, Emma Bryant, Alane S Burger, Laura J Dixon, Christina D Dutcher, Hayley E Fitzgerald, Bronwyn M Graham, Anke Haberkamp, Stefan G Hofmann, Jürgen Hoyer, Jonathan D Huppert, David Johnson, Baraa Q Kabha, Alex Kirk, Jürgen Margraf, Peter M Mcevoy, Bryan Mcspadden, Jill Newby, Michael W Otto, Santiago Papini, E Marie Parsons, Andre Pittig, Roxana Pittig, Winfried Rief, Svenja Schaumburg, Kiara R Timpano, Lena Waltemate, Andre Wannemüller, Cornelia Weise, Exposure Therapy Consortium

Faculty, Staff and Student Publications

Background: This paper reports on the outcomes of a proof-of-principle study for the Exposure Therapy Consortium, a global network of researchers and clinicians who work to improve the effectiveness and uptake of exposure therapy. The study aimed to test the feasibility of the consortium's big-team science approach and test the hypothesis that adding post-exposure processing focused on enhancing threat reappraisal would enhance the efficacy of a one-session large-group interoceptive exposure therapy protocol for reducing anxiety sensitivity.

Methods: The study involved a multi-site cluster-randomized controlled trial comparing exposure with post-processing (ENHANCED), exposure without post-processing (STANDARD), and a stress management intervention (CONTROL) …

Evaluation Of Quantum Contouring Algorithms For Treatment Planning On Mr Abdominal Images, Rachel Glenn, Tucker Netherton, Adrian Celaya, Mohamed Eltaher, Beatrice Riviere, David Fuentes

Faculty, Staff and Student Publications

Introduction: Quantum computing is increasingly being investigated for integration into medical radiology and healthcare applications worldwide. Given its potential to enhance clinical care and medical research, there is growing interest in evaluating its practical applications in clinical workflows.

Methods: We developed an evaluation of quantum computing-based auto-contouring methods to introduce medical physicists to this emerging technology. We implemented existing quantum algorithms as prototypes tailored for specific quantum hardware, focusing on their application to auto-contouring in medical imaging. The evaluation was performed using a medical resonance imaging (MRI) abdominal dataset, comprising 102 patient scans.

Results: The quantum algorithms were applied to …

Knowledge-Based Planning For Fully Automated Radiation Therapy Treatment Planning Of 10 Different Cancer Sites, Christine V Chung, Meena S Khan, Adenike Olanrewaju, Mary Pham, Quyen T Nguyen, Prajnan Das, Valerie K Reed, Anuja Jhingran, Hannah Simonds, Ethan B Ludmir, Karen E Hoffman, Komeela Naidoo, Jeannette Parkes, Ajay Aggarwal, Lauren L Mayo, Shalin J Shah, Chad Tang, Beth M Beadle, Julie Wetter, Gary Walker, Simon Hughes, Vinod Mullassery, Stephen Skett, Christopher Thomas, Lifei Zhang, Son Nguyen, Raymond P Mumme, Raphael J Douglas, Hana Baroudi, Laurence E Court

Faculty, Staff and Student Publications

Purpose: Radiation treatment planning is highly complex and can have significant inter- and intra-planner inconsistency, as well as variability in planning time and plan quality. Knowledge-based planning (KBP) is a tool that can be used to efficiently produce high-quality, consistent, clinically acceptable plans, independent of planner skills and experience. In this study, we created and validated multiple clinically acceptable and fully automatable KBP models, with the goal of creating VMAT plans without user intervention.

Methods: Ten KBP models were configured using high quality clinical plans from a single institution. They were then honed to be part of a fully automatable …

Sex And Apoe Ε4 Allele Differences In Longitudinal White Matter Microstructure In Multiple Cohorts Of Aging And Alzheimer's Disease, Amalia Peterson, Aditi Sathe, Dimitrios Zaras, Yisu Yang, Alaina Durant, Niranjana Shashikumar, Michael E Kim, Chenyu Gao, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Yuankai Huo, Logan Dumitrescu, Katherine A Gifford, Jo Ellen Wilson, Francis E Cambronero, Shannon L Risacher, Lori L Beason-Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Duygu Tosun, Arthur W Toga, Paul M Thompson, Elizabeth C Mormino, Mohamad Habes, Di Wang, Panpan Zhang, Kurt Schilling, Marilyn Albert, Walter Kukull, Sarah A Biber, Bennett A Landman, Sterling C Johnson, Julie Schneider, Lisa L Barnes, David A Bennett, Angela L Jefferson, Susan M Resnick, Andrew J Saykin, Timothy J Hohman, Derek B Archer

Faculty, Staff and Student Publications

Introduction: The effects of sex and apolipoprotein E (APOE)-Alzheimer's disease (AD) risk factors-on white matter microstructure are not well characterized.

Methods: Diffusion magnetic resonance imaging data from nine well-established longitudinal cohorts of aging were free water (FW)-corrected and harmonized. This dataset included 4741 participants (age = 73.06 ± 9.75) with 9671 imaging sessions over time. FW and FW-corrected fractional anisotropy (FAFWcorr) were used to assess differences in white matter microstructure by sex and APOE ε4 carrier status.

Results: Sex differences in FAFWcorr in projection tracts and APOE ε4 differences in FW limbic and occipital transcallosal tracts were most pronounced.

Discussion: …

Selective Inhibition Of Canonical Stat3 Signaling Suppresses K-Ras Mutant Lung Tumorigenesis And Reinvigorates Anti-Tumor Immunity, Michael J Clowers, Zahraa Rahal, Sung-Nam Cho, Avantika Krishna, Bo Yuan, T Kris Eckols, Samuel Liu, Stephen Peng, Marco Ramos-Castaneda, Annamarie L Thompson, Carlos Ignacio Rodriguez Reyna, Katherine E Larsen, Maria T Grimaldo, Shanshan Deng, Nastaran Karimi, Cody Chou, Walter V Velasco, Melody Zarghooni, Sayan Alekseev, Luisa M Solis Soto, Edwin J Ostrin, Humam Kadara, Suhendan Ekmekcioglu, David J Tweardy, Seyed Javad Moghaddam

Faculty, Staff and Student Publications

Introduction: K-ras mutant lung adenocarcinoma (KM-LUAD) is a difficult-to-treat cancer subtype in which chronic inflammation pervades the tumor immune microenvironment (TIME). Pro-inflammatory pathways dampen the response to treatments, including immune checkpoint inhibitors, necessitating therapies that target this inflammatory signaling network in the TIME. One of the lynchpins of chronic inflammation in KM-LUAD is signal transducer and activator of transcription 3 (STAT3).

Methods: Here, we tested the anti-tumor and early immunotherapeutic efficacy of TTI-101, a selective small-molecule inhibitor of canonical STAT3 signaling, in a K-rasG12D mutant lung cancer mouse model (CC-LR).

Results: Treatment of CC-LR mice with TTI-101 resulted in reduced …

Isotonic Phase I Cancer Clinical Trial Design Utilizing Patient-Reported Outcomes, Nolan A Wages, Ruitao Lin

Faculty, Staff and Student Publications

This article considers the concept of designing Phase I clinical trials using both clinician- and patient-reported outcomes to adaptively allocate study participants to tolerable doses and determine the maximum tolerated dose (MTD) at the study conclusion. We describe a new isotonic patient-reported outcome (PRO-ISO) Phase I design with the flexibility of allocating patients to lower, more tolerable regimens if a large number of PRO-DLT events are seen at higher doses. We conduct simulation studies of the operating characteristics of the design and compared them to the patient-reported outcomes continual reassessment method (PRO-CRM). We illustrate that the PRO-ISO makes appropriate dose …

Long-Term Follow-Up Of A Phase 2 Study Of All-Trans Retinoic Acid, Arsenic Trioxide, And Gemtuzumab Ozogamicin In Acute Promyelocytic Leukemia, Wei-Ying Jen, Jennifer Marvin-Peek, Hagop M Kantarjian, Yesid Alvarado, Gautam Borthakur, William Wierda, Naval G Daver, Courtney D Dinardo, Nicholas J Short, Nitin Jain, Alessandra Ferrajoli, Steven Kornblau, Musa Yilmaz, Maro Ohanian, David Mccue, Jan Burger, Danielle Hammond, Keyur Patel, Ghayas C Issa, Naveen Pemmaraju, Koji Sasaki, Abhishek Maiti, Hussein A Abbas, Kelly Chien, Koichi Takahashi, Fadi Haddad, Prithviraj Bose, Lucia Masarova, Guillermo Montalban-Bravo, Mahesh Swaminathan, Mark Brandt, Sherry Pierce, Guillermo Garcia-Manero, Farhad Ravandi

Faculty, Staff and Student Publications

Background: All-trans retinoic acid (ATRA) and arsenic trioxide (ATO) combinations have produced excellent outcomes in patients with standard-risk acute promyelocytic leukemia (APL). Herein, the authors update their long-term results with the regimen of ATO-ATRA and gemtuzumab ozogamicin (GO) in standard-risk and high-risk APL.

Methods: This was a phase 2 trial of patients with newly diagnosed APL. Induction comprised ATRA 45 mg/m2 and ATO 0.15 mg/kg daily. GO 6-9 mg/m2 was added for high-risk patients and for standard-risk patients who developed leukocytosis >10 × 109/L. Consolidation consisted of four courses of ATO-ATRA, with GO for patients who had PML::RARA persistence.

Results: …

Correction: New Insights Into The Mechanisms Of Electroconvulsive Therapy In Treatment-Resistant Depression, Ana C Ruiz, Abdul Haseeb, William Baumgartner, Edison Leung, Giselli Scaini

Faculty, Staff and Student Publications

This corrects the article "New insights into the mechanisms of electroconvulsive therapy in treatment-resistant depression", 1614076.

Three-Dimensional Deep Learning Normal Tissue Complication Probability Model To Predict Late Xerostomia In Patients With Head And Neck Cancer, Hung Chu, Suzanne P M De Vette, Hendrike Neh, Nanna M Sijtsema, Roel J H M Steenbakkers, Johannes A Langendijk, Clifton D Fuller, Lisanne V Van Dijk

Faculty, Staff and Student Publications

Purpose: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland doses. This study aimed to improve the prediction of late xerostomia by using 3-dimensional information from radiation dose distributions, computed tomography imaging, organ-at-risk segmentations, and clinical variables with deep learning (DL).

Methods and materials: An international cohort of 1208 patients with head and neck cancer from 2 institutes was used to train and twice validate DL models (deep convolutional neural network, EfficientNet-v2, and ResNet) with 3-dimensional dose distribution, …

Nrg Oncology White Paper On The Relative Biological Effectiveness In Proton Therapy, Harald Paganetti, Charles B Simone, Walter R Bosch, Daphne Haas-Kogan, David G Kirsch, Xiaoying Liang, Anita Mahajan, Michael D Story, Paige A Taylor, Henning Willers, Ying Xiao, Jeffrey C Buchsbaum

Faculty, Staff and Student Publications

This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the concept of relative biologic effect (RBE) in clinical proton therapy (PT), with the goal of providing recommendations for the next-generation clinical trials with PT on the best practice of investigating and using RBE, which could deviate from the current standard proton RBE value of 1.1 relative to photons. In part 1, current clinical utilization and practice are reviewed, giving the context and history of RBE. Evidence for variation in RBE is presented along with the concept of linear energy transfer (LET). The intertwined nature of …

Neuroprotective Role Of Ding Protein In Fetal Alcohol Spectrum Disorders And Depression, Nune Darbinian, Monica Hampe, Nana Merabova, Tamara Tatevosian-Geller, Laura Goetzl, Gabriel Tatevosian, Eric Chabriere, Huaqing Zhao, Shohreh Amini, Michael E Selzer

Faculty, Staff and Student Publications

Introduction: An estimated 20% of women consume alcohol during pregnancy, and 10% of women receive antidepressants during their pregnancy. Women with depression are more likely to use alcohol (EtOH) in early pregnancy and are more likely to have a child with one of the fetal alcohol spectrum disorders (FASD). Previously, we provided evidence in rat neurons in vitro that DING phosphatase (p38SJ, a member of the DINGGG family of proteins that has neuroprotective effects under conditions of cellular stress) was neuroprotective against EtOH-mediated toxicity. Now, we examine the effects of DING, alone or in combination with EtOH and serotonergic (5-HT) …