Medical Specialties Commons^™

Summit: An Integrative Approach For Better Transcriptomic Data Imputation Improves Causal Gene Identification, Zichen Zhang, Ye Eun Bae, Jonathan R Bradley, Lang Wu, Chong Wu

Faculty, Staff and Student Publications

Genes with moderate to low expression heritability may explain a large proportion of complex trait etiology, but such genes cannot be sufficiently captured in conventional transcriptome-wide association studies (TWASs), partly due to the relatively small available reference datasets for developing expression genetic prediction models to capture the moderate to low genetically regulated components of gene expression. Here, we introduce a method, the Summary-level Unified Method for Modeling Integrated Transcriptome (SUMMIT), to improve the expression prediction model accuracy and the power of TWAS by using a large expression quantitative trait loci (eQTL) summary-level dataset. We apply SUMMIT to the eQTL summary-level …

Ubr2 Targets Myosin Heavy Chain Iib And Iix For Degradation: Molecular Mechanism Essential For Cancer-Induced Muscle Wasting, Song Gao, Guohua Zhang, Zicheng Zhang, James Z Zhu, Li Li, Yong Zhou, George G Rodney, Reem S Abo-Zahrah, Lindsey Anderson, Jose M Garcia, Yong Tae Kwon, Yi-Ping Li

Faculty, Staff and Student Publications

Cancer cachexia is a lethal metabolic syndrome featuring muscle wasting with preferential loss of fast-twitching muscle mass through an undefined mechanism. Here, we show that cancer induces muscle wasting by selectively degrading myosin heavy chain (MHC) subtypes IIb and IIx through E3 ligase UBR2-mediated ubiquitylation. Induction of MHC loss and atrophy in C2C12 myotubes and mouse tibialis anterior (TA) by murine cancer cells required UBR2 up-regulation by cancer. Genetic gain or loss of UBR2 function inversely altered MHC level and muscle mass in TA of tumor-free mice. UBR2 selectively interacted with and ubiquitylated MHC-IIb and MHC-IIx through its substrate recognition …

Subtype C Hiv-1 Reservoirs Throughout The Body In Art-Suppressed Individuals, Zhou Liu, Peter Julius, Guobin Kang, John T. West, Charles Wood

School of Medicine Faculty Publications

Subtype B HIV-1 reservoirs have been intensively investigated, but reservoirs in other subtypes and how they respond to antiretroviral therapy (ART) is substantially less established. To characterize subtype C HIV-1 reservoirs, we implemented postmortem frozen, as well as formalin fixed paraffin embedded (FFPE) tissue sampling of central nervous system (CNS) and peripheral tissues. HIV-1 LTR, gag, envelope (env) DNA and RNA was quantified using genomic DNA and RNA extracted from frozen tissues. RNAscope was used to localize subtype C HIV-1 DNA and RNA in FFPE tissue. Despite uniform viral load suppression in our cohort, PCR results showed that subtype C …

Prostate Imaging Reporting And Data System Score (Pi-Rads) And Glutathione S-Transferase P1 Methylation Status (Gst-P1) In The Diagnosis Of Prostate Cancer Patients With Borderline Psa Values, Marius Stan, Vladimir Botnarciuc, Andra Iulia Suceveanu, Andreea Cristina Costea, Adrian Paul Suceveanu, Laura Mazilu, Ciprian Iorga, Tony Hangan, Corneliu Tudor, Dragos Epistatu, Sergiu Chirila, Viorel Gherghina, Felix Voinea

Journal of Mind and Medical Sciences

Objectives. The objective of this study was to evaluate the potential use of Prostate Imaging – Reporting and Data System version 2 (PI-RADS) in combination with Glutathione S-transferase P1 (GST-P1) expression for an improved diagnosis of prostate cancer, in patients with inconclusive values of prostate-specific antigen (PSA). Materials and Methods. The study was conducted on 80 patients for whom PSA values were evaluated and were found to be inconclusive (4-10 ng/ml). These patients underwent imagistic evaluation (PI-RADS), followed by transurethral prostate biopsy, with the evaluation of GST-P1 expression and histopathological examination (for diagnosis confirmation). Results. By combining the results of …

Associations Of Warfarin Use With Risks Of Ischemic Cerebrovascular Events And Major Bleeding In Patients With Hyperthyroidism-Related Atrial Fibrillation, Sian-De Liu, Shwu-Jiuan Lin, Chin-Ying Ray, Fang-Tsyr Lin, Weei-Chin Lin, Li-Hsuan Wang

Faculty, Staff and Students Publications

The use of oral anticoagulants for patients with new-onset hyperthyroidism-related atrial fibrillation (AF) is controversial. We aimed to evaluate the clinical benefits of warfarin therapy in this population. This retrospective cohort study used a data-cut of Taiwan Health and Welfare Database between 2000 and 2016. We compared warfarin users and nonusers among AF patients with hyperthyroidism. We used 1:2 propensity score matching to balance covariates and Cox regression model to calculate hazard ratios (HRs). The primary outcome was risk of ischemic stroke/transient ischemic attack (TIA), and the secondary outcome was major bleeding. After propensity score matching, we defined 90 and …

Prevalence Of Prediabetes And Diabetes Vary By Ethnicity Among Us Asian Adults At Healthy Weight, Overweight, And Obesity Ranges: An Electronic Health Record Study, William S Vicks, Joan C Lo, Lynn Guo, Jamal S Rana, Sherry Zhang, Nirmala D Ramalingam, Nancy P Gordon

Faculty, Staff and Student Publications

BACKGROUND: Asian adults develop Type 2 diabetes at a lower body mass index (BMI) compared to other racial/ethnic groups. We examined the variation in prevalence of prediabetes and diabetes among Asian ethnic groups within weight strata by comparing middle-aged Chinese, Filipino, South Asian, and White adults receiving care in the same integrated healthcare delivery system.

METHODS: Our retrospective cross-sectional U.S. study examined data from 283,110 (non-Hispanic) White, 33,263 Chinese, 38,766 Filipino, and 17,959 South Asian adults aged 45-64 years who were members of a Northern California health plan in 2016 and had measured height and weight. Prediabetes and diabetes were …

A Machine Learning Model Of Response To Hypomethylating Agents In Myelodysplastic Syndromes, Nathan Radakovich, David A. Sallman, Rena Buckstein, Andrew Brunner, Amy Dezern, Sudipto Mukerjee, Rami Komrokji, Najla Al-Ali, Jacob Shreve, Yazan Rouphail, Anne Parmentier, Alexandre Mamedov, Mohammed Siddiqui, Yihong Guan, Teodora Kuzmanovic, Metis Hasipek, Babal Jha, Jaroslaw P. Maciejewski, Mikkael A. Sekeres, Aziz Nazha

Department of Medical Oncology Faculty Papers

Hypomethylating agents (HMA) prolong survival and improve cytopenias in individuals with higher-risk myelodysplastic syndrome (MDS). Only 30-40% of patients, however, respond to HMAs, and responses may not occur for more than 6 months after HMA initiation. We developed a model to more rapidly assess HMA response by analyzing early changes in patients’ blood counts. Three institutions’ data were used to develop a model that assessed patients’ response to therapy 90 days after the initiation using serial blood counts. The model was developed with a training cohort of 424 patients from2 institutions and validated on an independent cohort of 90 patients. …

Going Flat: Challenging Gender, Stigma, And Cure Through Lesbian Breast Cancer Experience, Beth Gaines

USF Tampa Graduate Theses and Dissertations

This paper explores the decision-making process of reconstruction surgery among lesbian breast cancer patients to better understand how identity impacts healthcare decisions. Breast cancer patients experience the disease in unique ways due to gender, sexuality, race, and class, impacting their individual decisions regarding treatment plans. Many breast cancer patients face mastectomy surgery as the first plan of treatment after diagnosis. By exploring the impact of gender, sexuality, stigma, and ideas of cure, this research aims to advance research about breast cancer by recognizing why some lesbian breast cancer patients forego reconstruction surgery and instead choose to “go flat.

Lenalidomide Promotes The Development Of Tp53-Mutated Therapy-Related Myeloid Neoplasms, Adam S Sperling, Veronica A Guerra, James A Kennedy, Yuanqing Yan, Joanne I Hsu, Feng Wang, Andrew T Nguyen, Peter G Miller, Marie E Mcconkey, Vanessa A Quevedo Barrios, Ken Furudate, Linda Zhang, Rashmi Kanagal-Shamanna, Jianhua Zhang, Latasha Little, Curtis Gumbs, Naval Daver, Courtney D Dinardo, Tapan Kadia, Farhad Ravandi, Hagop Kantarjian, Guillermo Garcia-Manero, P Andrew Futreal, Benjamin L Ebert, Koichi Takahashi

Faculty, Staff and Student Publications

There is a growing body of evidence that therapy-related myeloid neoplasms (t-MNs) with driver gene mutations arise in the background of clonal hematopoiesis (CH) under the positive selective pressure of chemo- and radiation therapies. Uncovering the exposure relationships that provide selective advantage to specific CH mutations is critical to understanding the pathogenesis and etiology of t-MNs. In a systematic analysis of 416 patients with t-MN and detailed prior exposure history, we found that TP53 mutations were significantly associated with prior treatment with thalidomide analogs, specifically lenalidomide. We demonstrated experimentally that lenalidomide treatment provides a selective advantage to Trp53-mutant hematopoietic stem …

Detection Of Fibular Rotational Changes In Cone Beam Ct: Experimental Study In A Specimen Model, Nils Beisemann, Antonella M Tilk, Jula Gierse, Paul A Grützner, Jochen Franke, Jeffrey H Siewerdsen, Sven Y Vetter

Faculty, Staff and Student Publications

BACKGROUND: In syndesmotic injuries, incorrect reduction leads to early arthrosis of the ankle joint. Being able to analyze the reduction result is therefore crucial for obtaining an anatomical reduction. Several studies that assess fibular rotation in the incisura have already been published. The aim of the study was to validate measurement methods that use cone beam computed tomography imaging to detect rotational malpositions of the fibula in a standardized specimen model.

METHODS: An artificial Maisonneuve injury was created on 16 pairs of fresh-frozen lower legs. Using a stable instrument, rotational malpositions of 5, 10, and 15° internal and external rotation …

Recent Advances In Rapid Detection Techniques For Pesticide Residue: A Review, Lingyuan Xu, A M Abd El-Aty, Jong-Bang Eun, Jae-Han Shim, Jing Zhao, Xingmei Lei, Song Gao, Yongxin She, Fen Jin, Jing Wang, Maojun Jin, Bruce D Hammock

Faculty, Staff and Student Publications

As an important chemical pollutant affecting the safety of agricultural products, the on-site and efficient detection of pesticide residues has become a global trend and hotspot in research. These methodologies were developed for simplicity, high sensitivity, and multiresidue detection. This review introduces the currently available technologies based on electrochemistry, optical analysis, biotechnology, and some innovative and novel technologies for the rapid detection of pesticide residues, focusing on the characteristics, research status, and application of the most innovative and novel technologies in the past 10 years, and analyzes challenges and future development prospects. The current review could be a good reference …

Hdac6 Inhibition Reverses Cisplatin-Induced Mechanical Hypersensitivity Via Tonic Delta Opioid Receptor Signaling, Jixiang Zhang, Jazzmine M Junigan, Ronnie Trinh, Annemieke Kavelaars, Cobi J Heijnen, Peter M Grace

Faculty, Staff and Student Publications

Peripheral neuropathic pain induced by the chemotherapeutic cisplatin can persist for months to years after treatment. Histone deacetylase 6 (HDAC6) inhibitors have therapeutic potential for cisplatin-induced neuropathic pain since they persistently reverse mechanical hypersensitivity and spontaneous pain in rodent models. Here, we investigated the mechanisms underlying reversal of mechanical hypersensitivity in male and female mice by a 2 week treatment with an HDAC6 inhibitor, administered 3 d after the last dose of cisplatin. Mechanical hypersensitivity in animals of both sexes treated with the HDAC6 inhibitor was temporarily reinstated by a single injection of the neutral opioid receptor antagonist 6β-naltrexol or …

Estimating The Optimal Linear Combination Of Predictors Using Spherically Constrained Optimization, Priyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A Hutcheson, Clifton D Fuller, Bibhas Chakraborty, Christine B Peterson

Faculty, Staff and Student Publications

Background: In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve. For ordinal responses, the optimal predictor combination can similarly be obtained by maximization of the hypervolume under the manifold (HUM). Since the empirical HUM is discontinuous, non-differentiable, and possibly multi-modal, solving this maximization problem requires a global optimization technique. Estimation of the optimal coefficient vector using existing global optimization techniques is computationally expensive, becoming prohibitive as the number of predictors and the number of outcome categories increases.

Results: We propose an …

Therapeutic Efficacy Of The Humanized Jaa-F11 Anti-Thomsen-Friedenreich Antibody Constructs H2al2a And H3l3 In Human Breast And Lung Cancer Xenograft Models, Diala Ghazal, Fatma Zalzala, John C Fisk, Swetha Tati, Loukia G Karacosta, Susan Morey, James R Olson, Sally Quataert, Grace K Dy, Kate Rittenhouse-Olson

Faculty, Staff and Student Publications

The Thomsen-Friedenreich antigen (TF-Ag-α) is found on ~85% of human carcinomas but is cryptic on normal tissue. The humanized highly specific hJAA-F11-H2aL2a and -H3L3 antibodies target TF-Ag-α without binding to TF-Ag-beta (found on surface glycolipids of some normal cells). The relative affinity of H3L3 is 17 times that of H2aL2a, which would seem to favor superior efficacy, however, increased affinity can result in less tumor penetration. To assess the potential therapeutic efficacy of these antibodies, four human cancer- mouse xenograft models were treated with H2aL2a and H3L3. The tumor xenograft models used were human non-small cell lung cancer, H520, and …

Daphnia As A Sentinel Species For Environmental Health Protection: A Perspective On Biomonitoring And Bioremediation Of Chemical Pollution, Muhammad Abdullahi, Xiaojing Li, Mohamed Abou-Elwafa Abdallah, William Stubbings, Norman Yan, Marianne Barnard, Liang-Hong Guo, John K Colbourne, Luisa Orsini

Faculty, Staff and Student Publications

Despite available technology and the knowledge that chemical pollution damages human and ecosystem health, chemical pollution remains rampant, ineffectively monitored, rarely prevented, and only occasionally mitigated. We present a framework that helps address current major challenges in the monitoring and assessment of chemical pollution by broadening the use of the sentinel species Daphnia as a diagnostic agent of water pollution. And where prevention has failed, we propose the application of Daphnia as a bioremediation agent to help reduce hazards from chemical mixtures in the environment. By applying “omics” technologies to Daphnia exposed to real-world ambient chemical mixtures, we show improvements …

Should Health Systems Share Genetic Findings With At-Risk Relatives When The Proband Is Deceased? Interviews With Individuals Diagnosed With Lynch Syndrome, Jessica Ezzell Hunter, Jennifer L. Schneider, Alison J. Firemark, James V. Davis, Sara Gille, Pamala A. Pawloski, Su-Ying Liang, Victoria Schlieder, Alanna Kulchak Rahm

Journal of Patient-Centered Research and Reviews

Purpose: Genetic information has health implications for patients and their biological relatives. Death of a patient before sharing a genetic diagnosis with at-risk relatives is a missed opportunity to provide important information that could guide interventions to minimize cancer-related morbidity and mortality in relatives.

Methods: We performed semi-structured interviews with individuals diagnosed with Lynch syndrome at 1 of 4 health systems to explore their perspectives on whether health systems should share genetic risk information with relatives following a patient’s death. An inductive, open-coding approach was used to analyze audio-recorded content, with software-generated code reports undergoing iterative comparative analysis by a …

Chemical Relaxers And Hair-Straightening Products: Potential Targets For Hormone-Related Cancer Prevention And Control, Adana A. M. Llanos, Jasmine A. Mcdonald, Dede K. Teteh, Traci N. Bethea

Health Sciences and Kinesiology Faculty Articles

"Emerging data show that use of permanent hair dyes, chemical relaxers, and straightening products might contribute to increased risk of hormone-related cancers (1-5) and potentially breast tumors with features indicative of more aggressive phenotypes (6). Given the wide use of these products globally, they are an important source of exposure to potentially harmful chemicals, including endocrine-disrupting chemicals—to which we are ubiquitously exposed (7)—and mutagenic and/or genotoxic compounds. The unequal burden of exposure across populations plausibly contributes to cancer inequities as the groups with the greatest exposure also experience poorer cancer outcomes (8). …

The Mechanisms Of Action Of Tumor Treating Fields, Justin C Moser, Ellaine Salvador, Karina Deniz, Kenneth Swanson, Jack Tuszynski, Kristen W Carlson, Narasimha Kumar Karanam, Chirag B Patel, Michael Story, Emil Lou, Carsten Hagemann

Faculty, Staff and Student Publications

Tumor treating fields (TTFields), a new modality of cancer treatment, are electric fields transmitted transdermally to tumors. The FDA has approved TTFields for the treatment of glioblastoma multiforme and mesothelioma, and they are currently under study in many other cancer types. While antimitotic effects were the first recognized biological anticancer activity of TTFields, data have shown that tumor treating fields achieve their anticancer effects through multiple mechanisms of action. TTFields therefore have the ability to be useful for many cancer types in combination with many different treatment modalities. Here, we review the current understanding of TTFields and their mechanisms of …

Tumor Microenvironment: Barrier Or Opportunity Towards Effective Cancer Therapy, Aadhya Tiwari, Rakesh Trivedi, Shiaw-Yih Lin

Faculty, Staff and Student Publications

Tumor microenvironment (TME) is a specialized ecosystem of host components, designed by tumor cells for successful development and metastasis of tumor. With the advent of 3D culture and advanced bioinformatic methodologies, it is now possible to study TME's individual components and their interplay at higher resolution. Deeper understanding of the immune cell's diversity, stromal constituents, repertoire profiling, neoantigen prediction of TMEs has provided the opportunity to explore the spatial and temporal regulation of immune therapeutic interventions. The variation of TME composition among patients plays an important role in determining responders and non-responders towards cancer immunotherapy. Therefore, there could be a …

Presentation And Predictors Of Metastatic Testicular Cancer: A Contemporary Population-Based Analysis, Yash Shah, Hanan Goldberg, Thenappan Chandrasekar

Student Papers, Posters & Projects

Introduction

• Testicular cancer (TC) is the most common solid malignancy in males aged 14-44, with incidence rising globally, although there are few established risk factors besides cryptorchidism.
• While 70% of men present with localized TC, 18% have regional spread and 12% have metastases. Moreover, one-third of patients diagnosed with Stage I TC actually have occult metastases.

Machine Learning On Syngeneic Mouse Tumor Profiles To Model Clinical Immunotherapy Response, Zexian Zeng, Shengqing Stan Gu, Cheryl J Wong, Lin Yang, Nofal Ouardaoui, Dian Li, Wubing Zhang, Myles Brown, X Shirley Liu

Faculty, Staff and Student Publications

Most patients with cancer are refractory to immune checkpoint blockade (ICB) therapy, and proper patient stratification remains an open question. Primary patient data suffer from high heterogeneity, low accessibility, and lack of proper controls. In contrast, syngeneic mouse tumor models enable controlled experiments with ICB treatments. Using transcriptomic and experimental variables from >700 ICB-treated/control syngeneic mouse tumors, we developed a machine learning framework to model tumor immunity and identify factors influencing ICB response. Projected on human immunotherapy trial data, we found that the model can predict clinical ICB response. We further applied the model to predicting ICB-responsive/resistant cancer types in …

Combined Trip13 And Aurora Kinase Inhibition Induces Apoptosis In Human Papillomavirus-Driven Cancers, Soma Ghosh, Tuhina Mazumdar, Wei Xu, Reid T Powell, Clifford Stephan, Li Shen, Pooja A Shah, Curtis R Pickering, Jeffery N Myers, Jing Wang, Mitchell J Frederick, Faye M Johnson

Faculty, Staff and Student Publications

PURPOSE: Human papillomavirus (HPV) causes >5% of cancers, but no therapies uniquely target HPV-driven cancers.

EXPERIMENTAL DESIGN: We tested the cytotoxic effect of 864 drugs in 16 HPV-positive and 17 HPV-negative human squamous cancer cell lines. We confirmed apoptosis in vitro and in vivo using patient-derived xenografts. Mitotic pathway components were manipulated with drugs, knockdown, and overexpression.

RESULTS: Aurora kinase inhibitors were more effective in vitro and in vivo in HPV-positive than in HPV-negative models. We hypothesized that the mechanism of sensitivity involves retinoblastoma (Rb) expression because the viral oncoprotein E7 leads to Rb protein degradation, and basal Rb protein …

Ctpathway: A Crosstalk-Based Pathway Enrichment Analysis Method For Cancer Research, Haizhou Liu, Mengqin Yuan, Ramkrishna Mitra, Xu Zhou, Min Long, Wanyue Lei, Shunheng Zhou, Yu-E Huang, Fei Hou, Christine M. Eischen, Wei Jiang

Department of Cancer Biology Faculty Papers

Background: Pathway enrichment analysis (PEA) is a common method for exploring functions of hundreds of genes and identifying disease-risk pathways. Moreover, different pathways exert their functions through crosstalk. However, existing PEA methods do not sufficiently integrate essential pathway features, including pathway crosstalk, molecular interactions, and network topologies, resulting in many risk pathways that remain uninvestigated.

Methods: To overcome these limitations, we develop a new crosstalk-based PEA method, CTpathway, based on a global pathway crosstalk map (GPCM) with >440,000 edges by combing pathways from eight resources, transcription factor-gene regulations, and large-scale protein-protein interactions. Integrating gene differential expression and crosstalk effects in …

2022 Practice Recommendation Updates From The World Consensus Conference On Bia-Alcl, Fabio Santanelli Di Pompeo, Mark W Clemens, Michael Atlan, Giovanni Botti, Peter G Cordeiro, Daphne De Jong, Arianna Di Napoli, Dennis Hammond, Cara L Haymaker, Steven M Horwitz, Kelly Hunt, Peter Lennox, Patrick Mallucci, Roberto N Miranda, Alexandre M Munhoz, Eric Swanson, Suzanne D Turner, Guido Firmani, Michail Sorotos

Faculty, Staff and Student Publications

BACKGROUND: Laboratory and clinical research on breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is rapidly evolving. Changes in standard of care and insights into best practice were recently presented at the 3rd World Consensus Conference on BIA-ALCL.

OBJECTIVES: The authors sought to provide practice recommendations from a consensus of experts, supplemented with a literature review regarding epidemiology, etiology, pathogenesis, diagnosis, treatment, socio-psychological aspects, and international authority guidance.

METHODS: A literature search of all manuscripts between 1997 and August 2021 for the above areas of BIA-ALCL was conducted with the PubMed database. Manuscripts in different languages, on non-human subjects, and/or discussing …

Immunotherapeutic Approaches For Treating Hepatocellular Carcinoma, Wanying Shen, Yujie Chen, Pan Lei, Marisela Sheldon, Yutong Sun, Fan Yao, Li Ma

Faculty, Staff and Student Publications

Liver cancer is a life-threatening disease, and its incidence is increasing globally. The most common form of liver cancer is hepatocellular carcinoma (HCC). Approximately half of patients with HCC, especially those at advanced disease stages, receive systemic therapies, including the tyrosine kinase inhibitors sorafenib and lenvatinib. Over the past few years, immune checkpoint inhibitors (ICIs) have changed the landscape of HCC treatment. In particular, the combination therapy with atezolizumab (an anti-PD-L1 antibody) and bevacizumab (an anti-VEGF antibody) significantly improved survival benefits compared with sorafenib as a single agent, a finding that has stimulated further preclinical and clinical development of immunotherapeutic …

Public Health Burden Of Secondhand Smoking: Case Reports Of Lung Cancer And A Literature Review, Ladislav Štěpánek, Jarmila Ševčíková, Dagmar Horáková, Mihir Sanjay Patel, Radka Durďáková

Faculty, Staff and Student Publications

Secondhand smoke (SHS), composed of mainstream and sidestream smoke, is a known human carcinogen. It contains a variety of harmful substances at even higher concentrations than mainstream smoke itself, which is inhaled during firsthand smoking. Exposure to SHS, affecting more than a third of the worldwide population, increases the likelihood of lung cancer by roughly 30%, with specific contributions depending on the histological type of cancer. This study aimed to present the harmful potential of SHS through case reports and describe the burden of SHS via a literature review. From a collection of lung cancer case reports occurring in never …

Deep Learning Models For Automated Assessment Of Breast Density Using Multiple Mammographic Image Types, Bastien Rigaud, Olena O Weaver, Jennifer B Dennison, Muhammad Awais, Brian M Anderson, Ting-Yu D Chiang, Wei T Yang, Jessica W T Leung, Samir M Hanash, Kristy K Brock

Faculty, Staff and Student Publications

Recently, convolutional neural network (CNN) models have been proposed to automate the assessment of breast density, breast cancer detection or risk stratification using single image modality. However, analysis of breast density using multiple mammographic types using clinical data has not been reported in the literature. In this study, we investigate pre-trained EfficientNetB0 deep learning (DL) models for automated assessment of breast density using multiple mammographic types with and without clinical information to improve reliability and versatility of reporting. 120,000 for-processing and for-presentation full-field digital mammograms (FFDM), digital breast tomosynthesis (DBT), and synthesized 2D images from 5032 women were retrospectively analyzed. …

Smart And Multi-Functional Magnetic Nanoparticles For Cancer Treatment Applications: Clinical Challenges And Future Prospects, Elham Aram, Masome Moeni, Roya Abedizadeh, Davood Sabour, Hamid Sadeghi-Abandansari, Jabbar Gardy, Ali Hassanpour

Faculty, Staff and Students Publications

Iron oxide nanoparticle (IONPs) have become a subject of interest in various biomedical fields due to their magnetism and biocompatibility. They can be utilized as heat mediators in magnetic hyperthermia (MHT) or as contrast media in magnetic resonance imaging (MRI), and ultrasound (US). In addition, their high drug-loading capacity enabled them to be therapeutic agent transporters for malignancy treatment. Hence, smartening them allows for an intelligent controlled drug release (CDR) and targeted drug delivery (TDD). Smart magnetic nanoparticles (SMNPs) can overcome the impediments faced by classical chemo-treatment strategies, since they can be navigated and release drug via external or internal …

The Immune Landscape Of Undifferentiated Pleomorphic Sarcoma, Rossana Lazcano, Carmelia M Barreto, Ruth Salazar, Fernando Carapeto, Raymond S Traweek, Cheuk H Leung, Swati Gite, Jay Mehta, Davis R Ingram, Khalida M Wani, Kim-Anh T Vu, Edwin R Parra, Wei Lu, Jianling Zhou, Russell G Witt, Brandon Cope, Prapassorn Thirasastr, Heather Y Lin, Christopher P Scally, Anthony P Conley, Ravin Ratan, J Andrew Livingston, Alexandra M Zarzour, Joseph Ludwig, Dejka Araujo, Vinod Ravi, Shreyaskumar Patel, Robert Benjamin, Jennifer Wargo, Ignacio I Wistuba, Neeta Somaiah, Christina L Roland, Emily Z Keung, Luisa Solis, Wei-Lien Wang, Alexander J Lazar, Elise F Nassif

Faculty, Staff and Student Publications

INTRODUCTION: Undifferentiated pleomorphic sarcoma (UPS) can be associated with a relatively dense immune infiltration. Immune checkpoint inhibitors (anti-PD1, anti-PDL1, and anti-CTLA4) are effective in 20% of UPS patients. We characterize the immune microenvironment of UPS and its association with oncologic outcomes.

MATERIAL AND METHODS: Surgically resected UPS samples were stained by immunohistochemistry (IHC) for the following: tumor-associated immune cells (CD3, CD8, CD163, CD20), immune checkpoints (stimulatory: OX40, ICOS; inhibitory: PD-L1, LAG3, IDO1, PD1), and the adenosine pathway (CD73, CD39). Sections were reviewed for the presence of lymphoid aggregates (LA). Clinical data were retrospectively obtained for all samples. The Wilcoxon rank-sum …

Neoadjuvant Toripalimab Combined With Gemcitabine And Cisplatin In Resectable Locally Advanced Head And Neck Squamous Cell Carcinoma (Neotgp01): An Open Label, Single-Arm, Phase Ib Clinical Trial, Xiaotao Huang, Qiaodan Liu, Guihua Zhong, Yingpeng Peng, Ye Liu, Lizhong Liang, Haiyu Hong, Weineng Feng, Shuang Yang, Yaqin Zhang, Shiping Xian, Zhanyu Li, Yuling Zhou, Zhaoyuan Zhang, Wen Jiang, Jun Liang, Zhi-Gang Liu

Faculty, Staff and Student Publications

BACKGROUND: Neoadjuvant programmed death receptor-1 (PD-1) inhibitors have drawn increasing attention in locally advanced head and neck squamous cell carcinoma (HNSCC). In this study, we investigated the safety and efficacy of gemcitabine and cisplatin (GP), combined with a PD-1 inhibitor, in patients with locally advanced HNSCC.

MATERIALS AND METHODS: A total of 23 eligible patients were administered two cycles of toripalimab and GP followed by surgical resection. The primary endpoints were safety, treatment-related adverse events (TRAEs), and non-operation delay rates. The secondary endpoints consisted of pathological complete response (pCR) rate, major pathological response (MPR) rate, objective response rate (ORR), and …